Forthcoming and Online First Articles

International Journal of Manufacturing Technology and Management

International Journal of Manufacturing Technology and Management (IJMTM)

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International Journal of Manufacturing Technology and Management (52 papers in press)

Regular Issues

  • Effect of Machining Parameters in Drilling of Glass Fiber Reinforced Polymer Composite with Modified AJM Process.   Order a copy of this article
    by Basanta Kumar Nanda, Debabrata Dhupal 
    Abstract: Conventional drilling of Glass Fiber Reinforced Polymer (GFRP) composite produces delamination effect due to peel-up and pull out of the layers. This research work represents drilling of GFRP rectangular workpieces with fluidized bed abrasive jet machining (FB-AJM) process using silicon carbide (SiC) abrasives. Experiments were conducted according to Box-Behnken design matrix to measure the four responses, namely, material removal rate (W), surface roughness (Ra), depth of cut (h), and taper angle (TA) by utilizing bed pressure (P), nozzle tip distance (Z) and abrasive grain size (G) as input parameters. Desirability based particle swarm optimization (PSO) was performed for the multi-objective optimization to find the optimal input parameters P, Z and G of 6 kgf/cm2, 7 mm, 260μm respectively. A single experiment was performed at the predicted optimal conditions to validate the model with minimum error. The SEM analysis of the machined composite surface revealed the initiation and propagation of cracks along with embedment of erodent particle.
    Keywords: Glass Fiber Reinforced Polymer (GFRP); fluidized bed abrasive jet machining (FB-AJM); silicon carbide (SiC); response surface methodology (RSM); Desirability-Function; particle swarm optimization (PSO).

  • FPGA Implementation of Gate Level Modified Adaptive Filter Architecture for Noise Cancellation Application   Order a copy of this article
    by Gomathi Swaminathan, Murugesan G 
    Abstract: This paper provides an approach for the implementation of modifications in the gate level in the adaptive filter architecture. An adaptive filter is appreciable when processing real time data and under the conditions when the signal statistics are not known a priori. Filtering data in real time needs a dedicated hardware. The resources available for implementing an efficient digital filtering algorithm are present in Field Programmable Gate Array. To design a dedicated hardware with low computational complexity, an approach of gate level modifications is incorporated in the EX-OR gate and the modified EX-OR gate is implemented in the coefficient decimation method. The proposed modified coefficient decimation method is applied in the adaptive algorithms such as Recursive Least Square, Affine Projection, and Kalman algorithm. The designed structures are experimented with the ECG and speech signal and implemented in the Xilinx Virtex 5 FPGA. Simulation and implementation results infer area reduction is achieved up to 50% and delay reduction of 10% is obtained in the proposed structures.
    Keywords: Field Programmable Gate Array; EX-OR; ECG; hardware; XILINX System Generator; full adder; half adder.
    DOI: 10.1504/IJMTM.2017.10011891
     
  • TECHNOLOGY ASSESSMENT OF SMEs IN THE MANUFACTURING SUB-SECTORS BY FUZZY AHP, VIKOR AND TOPSIS APPROACHES   Order a copy of this article
    by Ufuk BOLUKBAS, Ali Fuat GUNERI 
    Abstract: Technology management, technological skills and technological competencies are critical factors that play a considerable role in firms ability to achieve competitive advantages associated with technology. It is quite surprising that studies on the relationship between technology competency and technology management skills are still rather scarce. This paper aims to fill this gap and offers an evaluation framework to examine dimensions of technology competency based on the management and technology capabilities; process management, product competitiveness, information and communication technologies (ICT), marketing strategies, innovation & entrepreneurship and research & development (R&D). In this study, multi criteria decision making approaches as fuzzy analytic hierarchy process (FAHP), VIKOR and TOPSIS methods are used to measure the performances of manufacturing enterprises from machine, metal, electric-electronic and textile sectors in Istanbul, Turkey. This study highlights the different aspects of technology competency issues which provide high-performances for enterprises from the manufacturing sub-sectors.
    Keywords: technology management; technology competency; technology assessment; innovation management; multi criteria decision making; small and medium-sized enterprises; SMEs; performance measurement; strategic decision making; manufacturing industry.

  • A Genetic Algorithm-based Optimization Model for Designing an Efficient, Sustainable Supply Chain Network under Disruption Risks   Order a copy of this article
    by Atiya Al-Zuheri, Ilias Vlachos 
    Abstract: Managers are becoming increasingly aware of the effects that supply chain disruptions have on their companies' performance and, consequently, the need to design supply chains to mitigate those effects. However, existing supply chain designs focus on efficiency and cost minimization, particularly in Just-in-Time (JIT) systems. At the same time, sustainability requires designs that preserve resources and minimize environmental impact; this has forced companies to design their supply chains in ways that can be simultaneously flexible, sustainable, and efficient. This study proposes a genetic algorithm-based optimization model that aims to find the global optimal design solution which addresses a trade-off in their performances regarding the total supply cost and associated carbon emission cost when the supply network faces severe disruption. The model is tested using a case study to validate its applicability. The particle swarm optimization (PSO) approach is chosen for the purpose of performance comparison. In addition, we conduct a sensitivity analysis to demonstrate how external suppliers disruptions influence supply chain performance. A number of factors are analyzed: lead time, order quantity variance, and transportation mode selection. Performance variables include the total supply chain cost which comprises production, transportation, and CO2 costs. The model has many opportunities for application where the supply chain is disrupted, such as in the recent pandemic, especially when companies do not want to compromise efficiency and sustainability.
    Keywords: Genetic algorithm; optimization model; supply chain design; resilience; sustainability; efficiency; disruptions; carbon tax; Just-in-Time.
    DOI: 10.1504/IJMTM.2020.10037824
     
  • Lean bundles and operational performance: the moderating effect of operational absorptive capacity   Order a copy of this article
    by Cong Wu, Zhanwen Niu, Fudong Yang, Chaochao Liu 
    Abstract: The relationship between lean practices and operational performance (OP) is widely investigated. However, the mechanism of lean practices, which improves OP, remains unclear. Evidence suggests that the contextual factors (for example, plant size) of lean practice activities would affect the effectiveness of these activities. However, prior studies merely focus on external environmental factors, whereas we explored the effect of contextual variables inside of firms. As a source of competitive advantage within firms, operational absorptive capacity (OAC) can enhance the ability to acquire and utilize knowledge by integrating the resources. Hence, OAC were introduced to explore the moderating effect of OAC on the relationship between lean practices and operational performance. We identified four bundles of lean practices, namely just in time (JIT), total preventive maintenance (TPM), total quality management (TQM) and human resource management (HRM). Furthermore, we adopted an Ordinary Least Square analysis to analyze whether OAC can enhance the effectiveness of the lean bundles. We contribute to understanding on the relationship between the lean bundles and operational absorptive capacity. Moreover, we contribute to research the mechanism of lean bundles on operational performance by offering new insights under contingency theory.
    Keywords: operational performance; operational absorptive capacity; lean practices.

  • Mathematical Modelling and Numerical Simulation of Direct Extrusion Process for Different Cross-Section of Dies   Order a copy of this article
    by Dibya Jena 
    Abstract: The current research aims to derive the analytical solution for direct extrusion having different cross-sections of dies. Additionally, from design estimation point of view, from industrial viewpoint, with the purpose to overcome the limitation and complexity of analytical solution, a finite element analysis (FEA) based numerical simulation technique has also been suggested and have been demonstrated to show the possibility. At the outset, the estimation of fundamental material properties such as tensile strength and compressive strength have been simulated. The estimated numerical results have been authenticated counter to experimental measurements of aluminum alloy such as AA6063-T7 and AA6061, correspondingly. Successively, the simulation of a direct extrusion process has been carried out with aluminum-5154 and compared with experimental result. Next, with convinced assumptions, the analytical model for different die such as elliptical, square, and rectangle shapes have been derived. The strength of numerical simulation, once more, has been subjugated to corroborate the mathematical models, which have been observed to be less than 5% for different coefficient of frictions and different extrusion ratios. The complexities convoluted in simulation including the detailed mathematical modelling have been discussed minutely.
    Keywords: Tensile Test; Compressive Test; Analytical Modelling; Direct Extrusion Process; Finite Element Analysis (FEA).

  • To evaluate the status of implementation of AMTs in SMEs located in Northern India: A survey of 202 North Indian SMEs   Order a copy of this article
    by Arishu Kaushik, Doordarshi Singh 
    Abstract: The purpose of this research is to assess the status of implementation of advanced manufacturing technologies (AMTs) in manufacturing small and medium enterprises (SMEs) located in northern India. Evaluation of the implementation of AMTs on the performance of SMEs has been carried out using the percent point score (PPS) method. Four AMTs were selected and their impact on six performance factors has been investigated in detail. This study depicts the actual status of the implementation of AMTs in the manufacturing sector. To make the data highly reliable and represent the exact area of consideration, a significant number (202) of small and medium scale enterprises have been considered for the study. The analysis reveals that the implementation of AMTs enhance the firm performance. This paper fills the gap between in the literature by assessing the present state of implementation of AMTs in SMEs of northern India and analysing its impact on the performance parameters. It can be helpful for the management, entrepreneurs, stakeholders and researchers to take a closer and comprehensive look at the interaction between AMTs and the performance in SMEs.
    Keywords: Advanced manufacturing technologies; AMTs; Percent point score; PPS; Small and medium enterprises; SMEs; adoption/implementation of AMTs; classification of AMTs.

  • Reallocation and Imported technology: Evidence from Vietnam manufacturing Sector   Order a copy of this article
    by Nguyen Khac Minh, Phung Mai Lan 
    Abstract: The objective of this study is to measure the contribution of "high- tech" importers (high-tech firms) to the productivity growth of the Vietnamese manufacturing industry. This analysis uses augmented Olley - Pakes static and dynamic productivity decomposition and the annual panel industrial survey data from the period of 2012-2016. The results indicate that high-tech firms account for only 20.8% of total firms but contribute 59.6% to productivity growth. The static decomposition shows that the reallocation process is an important mechanism for increasing the industrial productivity. The dynamic decomposition indicates that the exiting firms are the factor that reduces productivity growth while learning by doing and improving technology within the firm are limited and only significantly contribute in high-tech firms. The results also shows that high-tech importers not only increase their productivity but also become stronger in the market. The spillover effect from the high-tech firms is stronger than that of foreign-owned firms.
    Keywords: Static and dynamic decomposition; reallocation process; manufacturing industry.

  • Capability management of manufacturing research centres: challenges and opportunities   Order a copy of this article
    by Olga Uflewska, T.C. Wong, Michael Ward 
    Abstract: This paper is the first to investigate capability management of manufacturing research centres within the High Value Manufacturing Catapult (HVMC). The HVMC was established to address the valley of death by bridging the gap between industry and academia in order to drive the UKs economic and technological growth. However, the current literature does not fully recognise capability management of manufacturing research centres, and hence overlook its link with operations management and strategic management within research centres environment. Regarding technology capabilities, manufacturing companies usually adopt their own measurements or assessment tools such as Technology Readiness Levels (TRL) or Manufacturing Readiness Levels (MRL) to track their technological progression. These tools, however, are not sufficient to devise important capability management practices due to research centres unique operating characteristics. It is evident that standardising such practices within the HVMC is vital, and this drives the need of developing a new capability management framework.
    Keywords: capability management; manufacturing research centres; valley of death; technology capabilities; maturity; readiness; people; equipment; project; framework.

  • A Comprehensive Study of Identification of Microstructural Analysis in Various Reinforced Fly Ash Concretes   Order a copy of this article
    by J. Mahesh 
    Abstract: This investigation reveals a critical experimental study in identifying the pictorial view of pore structure of concrete in different types of concretes comprising of Class-F fly ash together with reinforcement over dissimilar fine aggregates like manufactured and river sands. Moreover, this investigation reports the analysis over dissimilar water curing conditions in finding out the pictorial view of pore structure of the concrete. For this experimentation, cement was partially replaced using fly ash and concrete mixes that were formed with 40%, 30% and 20% weights of cement and by using 16 mm diameter reinforcement. The performance analysis of this experiment was done by using X-ray diffraction spectrometry (XRD) and Scanning electron microscopy (SEM). Moreover, this investigation recommends the use of concrete mix with 30% fly ash replacement in concrete.
    Keywords: Concrete; Curing; Fly ash; Manufactured sand; XRD; SEM; Microstructure.

  • Agile approach as an answer to internal uncertainty: a case study in large scale manufacturing   Order a copy of this article
    by Abdulkadir Özgen, Mehmet Gençer 
    Abstract: The success of agile product development in the software industry has attracted the attention of the industrial new product development (NPD) community, and these approaches are suggested as an alternative NPD method in large-scale organizations. Agile approach to NPD has the potential to overcome the uncertainty that dominates today's business conditions. However, there is little research regarding the performance of this approach and its practices, most of which were developed in the software industry, in other contexts. In this paper, we report findings of a qualitative case study on agile NPD efforts in a large-scale manufacturing firm. In contrast to software development, NPD projects in this context span several organizational units and have high organizational complexity. Through a case study methodology, we explore how agile practices address organizational uncertainty. The study, based on semi-structured interviews, covers two NPD projects with a total of 12 sub-teams. Our results indicate that in a large organization, internal sources of NPD uncertainty dominate external sources. The three factors in organizational uncertainties are interdependency, team volatility, and global dispersion of teams. Furthermore, we develop a model to explain how various agile practices can provide the NPD teams with capabilities to mitigate these organizational uncertainties.
    Keywords: Agile Practices; New Product Development; Large-scale organizations; Uncertainity.

  • Investigation on Impact Strength of 3D Printed PLA: Effect of Part Orientation, Infill Pattern and Infill Percentage   Order a copy of this article
    by Harshit Dave, Naushil Patadiya, Shilpesh Rajpurohit, Ashish Prajapati, Harit Raval 
    Abstract: Fused Deposition Modeling (FDM) is an extensively adapted 3D printing process owing to its ease of operation and low cost. In the present work, the FDM technique was used to examine effect of the processing parameters on the impact strength of FDM manufactured Polylactic Acid (PLA) material. Test specimens were printed while varying build parameters, including infill pattern, part orientation and infill density. The prepared parts were subjected to Izod impact test to determine the impact properties. It is observed that specimens printed in X orientation usually displayed better impact properties than the specimen oriented in the Z orientation. The rectilinear pattern and higher infill density displayed higher impact strength. Furthermore, SEM analysis on the specimen's fractured surface was done to evaluate the impact of build conditions on the failure mechanism of samples.
    Keywords: Fused deposition modeling; Impact strength; Part orientation; Infill pattern; Rectilinear; Concentric; Hilbert; Infill density.

  • Price decision analysis for perishable products under threat of entry: The case of vertical product differentiation   Order a copy of this article
    by Hao Li, Yang Qian, Hao-nan Xu, Xiang Gao 
    Abstract: Perishable goods companies respond to competitive pressures through differentiated strategies, but pricing issues have become more complicated. This study analyses the optimal pricing of two companies offering vertically differentiated products to strategic customers who are intertemporal utility maximisers. It is assumed that incumbent companies respond to the entry threat of late-stage enterprises through pricing strategies. A two-period dynamic price game model is constructed under the price commitment and dynamic pricing strategies, and this problem is modelled based on the companys objective to maximise total expected profits and the optimal timing of the latecomers entry. It is demonstrated through numerical examples that the timing of a latecomer entering the market under commitment pricing is delayed with the increase in a customers strategic behaviour. It is also shown that an incumbent company adopting commitment pricing may have much higher profits than one that uses dynamic pricing. Interestingly, a lower customer pleasure level makes the incumbent companys revenue decline.
    Keywords: vertical product differentiation; price commitment; dynamic pricing; strategic consumer behaviour; optimal policy; revenue management; threat of entry; perishable goods; time to enter the market; psychological pleasure.

  • PROCESS INNOVATION THE BLIND SPOT IN PRODUCT INNOVATION. DEVELOPMENT OF A GENERIC FRAMEWORK FOR THE FRONT-END IN PROCESS INNOVATION.   Order a copy of this article
    by Hubert Wittke, Alan Ryan, Ann Ledwith, Mark Southern 
    Abstract: This study aims to consolidate the fragmented knowledge dispersed across simple or incomplete (existing) frameworks on process innovation and identifies the research gaps in the management of the front-end stage. The outcomes contribute to the present knowledge by a comprehensive review (with the Systematic Literature Review methodology) and synthesis of twelve management frameworks of process innovation. The paper also presents a novel framework for management of the front-end of process innovation in manufacturing companies. This research identifies that the front-end in process innovation must integrate with activities linked to product innovation, if innovation projects are to be successful.
    Keywords: Process innovation; front-end; FFE; generic framework; product innovation; management; research gaps; systematic literature review; synthesis; manufacturing enterprises.

Special Issue on: LISS16-OPMSC Optimisation Problems in Manufacturing and Supply Chains

  • CORRELATION ANALYSIS AND PRIORITIZED ABC FSN MATRIX FOR PHARMACY INVENTORY MANAGEMENT   Order a copy of this article
    by Manivel Palanisamy 
    Abstract: Objective The aim of the study was to identify the pitfalls in the existing supply chain of private and hospital pharmacies, identify the variables that influencing more in the efficiency of the pharmacy, select the appropriate inventory analysis and suggest the prioritized inventory matrix to meet customer requirement in efficient manner. Methods The qualitative and quantitative data has been collected through questionnaire and interview of the pharmacy personnel. Through SPSS, the normal distribution and correlation analysis to be carried out on sample data. The pitfalls were solved by the selection of appropriate inventory analysis and suggesting the prioritized inventory matrix to narrowed down the drugs for monitoring and control strategies of pharmacy drugs. Results The normal distribution and correlation analysis results shows that the variables collected through questionnaire are normally distributed and the variables that most influence the efficiency of the pharmacy supply chain. The implementation of Prioritized ABC FSN matrix in pharmacy will helps to provide high-quality service to the customer and there will be an adequate supply of the items in the pharmacies. The future work also to be discussed. Conclusion The prioritized ABC FSN matrix to be adopted as a routine practice for optimal use of resources and elimination of out-of-stock and over stock situations in the hospital and private pharmacy.
    Keywords: Pharmacy Supply Chain; Inventory Management System; Stock Outs; Overstock; IT Support in Pharmacy; correlation analysis; Inventory analysis.

Special Issue on: Big Data and AI for Process Innovation in the Industry 4.0 Era

  • Research on total amount prediction of import and export trade data based on combined predicting model   Order a copy of this article
    by Jianxin Chen, Xiaoke Zhao 
    Abstract: In order to overcome the problems of low index significance, low prediction efficiency and low prediction accuracy in the process of prediction of import and export trade data, a new research method for total amount prediction of import and export trade data based on combined prediction model. Combine neural network prediction method and support vector machine prediction method to build a combined prediction model. Through the back propagation process, it can reduce the error between the expected and the actual output, and modify the network threshold and weight, so as to realize the classification of samples in high-dimensional space in support vector machine, and the two methods are combined to complete the prediction of total import and export trade data. The experimental results show that the significance of the proposed method is close to 100%, the prediction time is within 0.5 min, and the prediction accuracy is more than 90%.
    Keywords: Combination predicting model; Import and export trade; Data predicting; Influencing factors.

Special Issue on: Maintenance 4.0 Technologies for Sustainable Manufacturing

  • Simulation study on wear limit of valve sleeve material for hydraulic reversing slide valve of five-axis CNC machine tool   Order a copy of this article
    by Xiaoyan Zhao, Qingshan Sheng 
    Abstract: In order to overcome the problem that the traditional method is difficult to accurately analyze the relationship between friction force and material wear because it does not consider the stress of the valve sleeve material, a new simulation method for the material wear limit of the valve sleeve of the hydraulic reversing valve for five-axis CNC machine tool is designed. Based on the analysis of the force principle of the sleeve of the slide valve, the pressure on the sleeve material of the reversing slide valve was deduced. Then, the limit force and friction and wear mechanism of the material were simulated from three aspects of contact, friction and wear, and it was found that the material wear reached the limit when the friction coefficient reached 0.65. Experimental results show that the simulation time of this method is only 4.29min, and the wear limit parameter error is always below 0.05.
    Keywords: Five-axis CNC machine tool; hydraulic reversing slide valve; valve sleeve material wear; limit numerical simulation; stress condition.

  • Unsupervised Bayesian method for color matching of product packaging   Order a copy of this article
    by ZhiBing Liu, Han Liu 
    Abstract: There are some problems in the traditional color matching methods of product packaging, such as high accuracy of color matching and long time-consuming. This paper proposes a color matching method of product packaging based on unsupervised Bayes. The distance threshold between different colors of product packaging was obtained, the color features were extracted by sparse representation method, and the color features were preprocessed by fuzzy c-means clustering; The color of product outer packaging is sorted according to the proportion to realize the quantification of product outer packaging color; The color matching parameters of product packaging are determined by Dirichlet distribution in unsupervised Bayesian. The optimal color matching scheme is determined by introducing multiple beta functions. The importance weight of matching scheme is modified by approximate posterior probability to complete the matching. The results show that the minimum error of the proposed method is about 0.5% .
    Keywords: Product packaging; distance threshold; sparse representation; color center value; unsupervised bayes ; collocation.

  • Optimization of Operation Path of Six-DOF Industrial Robot Arm Based on Augmented Reality   Order a copy of this article
    by Juchen Li 
    Abstract: There are some problems in the path planning method of 6-DOF Industrial robot arm, such as low planning accuracy and long optimization time. A path optimization method of 6-DOF Industrial Robot Arm Based on augmented reality is proposed. Using contour method to determine the three-dimensional coordinates of the running path, determine the arm running path. According to the different marking results, the coordinate system matrix is determined, and the vector corresponding to the translation axis in the translation matrix is obtained to locate the obstacle points in the running path. The similarity matching of arm running path is carried out; With the help of virtual reality technology and virtual path superposition, the operation path optimization model is constructed, and the operation path optimization of 6-DOF robot arm is completed. The results show that the method has high accuracy and the shortest optimization time is about 1.75s
    Keywords: Augmented Reality; Industrial Robot; Running Path; Node Location ;3D Coordinate.

  • Assistant decision-making model for color matching of outer packing   Order a copy of this article
    by Yuping Sun 
    Abstract: In order to solve the problem of low matching accuracy in traditional methods, a decision-making model of color matching of outer packaging is designed. The support vector machine algorithm is used to determine the finite data set in two-dimensional space, and the similar data is fused to extract the color matching data feature of the product outer packaging. The state characteristics and probability distribution of feature data are determined by dynamic Bayesian network, and the data features are preprocessed. The particle swarm optimization algorithm is used to determine the particle velocity and the best position, and the optimal scheme of color matching of the outer packaging is obtained, and the auxiliary decision model of the color matching of the outer packaging is completed. Experimental results show that the proposed method can effectively improve the matching accuracy of the color matching of the outer packaging, with the highest of 95%.
    Keywords: Outer packing; color collocation; support vector machine; 2d space; dynamic Bayesian network; particle swarm optimization.

  • Construction of weak signals automatic capture model of mechanical equipment for intelligent manufacturing   Order a copy of this article
    by YaoZeng Jia, Yanwei Chen 
    Abstract: Aiming at the problem that the existing weak signal automatic capture model fails to effectively separate the blind source signal, which leads to its poor signal capture performance, the paper designs a weak signal automatic capture model of mechanical equipment for intelligent manufacturing. On the basis of obtaining the instantaneous frequency of the equipment, the stochastic resonance theory is used to process the signal's singular value decomposition and noise reduction. By separating and detecting blind source signals, automatic capture of weak signals of mechanical equipment for intelligent manufacturing can be realized. The experimental results show that the accuracy of the designed models are all higher than 80%, the automatic capture time is less than 3 minutes, and the automatic capture cost is always less than 360 yuan, which shows that the model has certain practical application value.
    Keywords: Intelligent manufacturing; mechanical equipment; weak signal; automatic capture modelrn.

  • Quality intelligent control method of railway vehicle wheel axle manufacturing process based on part quality index   Order a copy of this article
    by Jian-yong YU, Li-na WANG 
    Abstract: In order to solve the problems of long control time and low control precision existing in traditional control methods, an intelligent quality control method of railway vehicle axle manufacturing process based on part quality index is proposed. The manufacturing capacity index of railway vehicle axle is determined to build the quality mapping model of axle manufacturing process. The maximum likelihood estimation method is used to estimate the error source parameters of axle manufacturing process and identify the error source. According to the error source identification results, the part quality index is used to intelligently control the manufacturing process quality. The simulation results show that the intelligent control time of the proposed method is within 25s, and the average control accuracy can reach 97%, indicating that the method has a better intelligent control effect.
    Keywords: Part quality index; Railway vehicle axle; Manufacturing process; Quality Control; maximum likelihood estimation.

  • Dynamic Analysis Method of Combustion System of CFB Boiler Based on Empirical Mode Decomposition   Order a copy of this article
    by XiaoFang Wu, LiFeng Zhang 
    Abstract: The traditional method has the problems of high relative error rate and long analysis time. A dynamic characteristic analysis method of circulating fluidized bed boiler combustion system based on empirical mode decomposition (EMD) is proposed. Based on the flow parameters and thermal parameters of the circulating bed boiler, the furnace area is divided along the height direction of the furnace, and the mathematical model of the combustion system of the circulating bed boiler is established. The empirical mode decomposition (EMD) method is used to decompose the heat signal and obtain the Hilbert spectrum. The step response of the heat signal is analyzed when the main steam pressure, bed temperature, combustion coefficient and other parameters change, and the dynamic characteristics of the combustion system are obtained. The experimental results show that the denoising effect of this method is good, and the average relative error rate is 3.7%
    Keywords: Empirical Mode Decomposition; Circulating fluidized bed boiler; Combustion system; Dynamic characteristics; Heat signalrn.

  • Research on multi task cooperative control and management method of industrial robot multi manipulator   Order a copy of this article
    by Zhenzhuo Wang 
    Abstract: In order to overcome the problems of large cooperative control errors and trajectory tracking errors due to the lack of kinematics uncertainties in the traditional manipulator task control method, a new collaborative multi-task control method for industrial robots was designed. The Lagrange method was used to construct the single manipulator dynamics model, the Newton-Euler recursion method was used to construct the target object dynamics model, and then the multi-manipulator model was constructed. Based on the kinematics uncertainty, the multi-task cooperative control model of multi-manipulator was constructed, and the multi-task cooperative robust and adaptive controller was designed with the state feedback control, so as to realize the multi-task cooperative control. Experimental results show that the maximum error of multi-manipulator cooperative control is less than 20 mm, and the minimum error of object trajectory tracking is 10 mm, which proves that the proposed method can effectively achieve the design expectation.
    Keywords: industrial robot; multi manipulator; multi task cooperative control; Lagrange method; linear sliding mode control;.

  • Automatic assembly cost control method of industry 4.0 production line based on deep reinforcement learning   Order a copy of this article
    by Hui Zhou 
    Abstract: Aiming at the problems of low cost closeness and poor benefit in traditional production line automatic assembly cost control method, an automatic assembly cost control method of industry 4.0 production line based on deep reinforcement learning is proposed. The assembly cost status is represented by state value function, and the cost data is cascaded by attention model; Based on the analysis of the principle of deep reinforcement learning, a deep reinforcement learning model for automatic assembly cost control of industry 4.0 production line is constructed by feed forward control, process control and feedback control of assembly cost; According to the model, the assembly cost data is controlled, and the error function is used to correct the model control results, so as to realize the automatic assembly cost control of the production line. The results show that the approach degree of automatic assembly cost control is about 97%
    Keywords: Deep reinforcement learning; Industry 4.0; Automatic assembly of production line; Cost control.

  • Product packaging text and composition color matching model design based on visual communication   Order a copy of this article
    by Xiaowan Chen 
    Abstract: In order to overcome the problems of low pixel extraction accuracy and long matching time in traditional models, a product packaging text and composition color matching model based on visual communication was designed. Under the concept of visual communication, the phased feature matching method is used to extract the text and composition pixels in the product packaging in blocks. The morphological transformation method is used to construct the regional pixel threshold denoising function, and the color representation model of text and composition is constructed. The adaptive block feature matching method is used to match the color of text pixels and composition pixels to achieve the matching of product packaging text and composition colors. The experimental results show that the designed model has high pixel extraction accuracy, and the shortest time is only 2.5s, which fully shows that the designed model has strong practical application performance.
    Keywords: visual communication; product packaging text; composition color; matching model.

  • Design of industrial logistics information integration method based on supply chain management   Order a copy of this article
    by Xia Li 
    Abstract: Considering the problem of traditional information integration error and long processing time, this paper designs a industrial logistics information integration method based on supply chain management. Build the industrial logistics information integration method framework. Due to the diversity of industrial logistics information, use SVM information mining method, and then obtain the affiliation of each logistics node according to the characteristics of the supply chain. In a unified coded environment, collect and integrate nodes with the same attributes according to the close relationship between different samples to complete the integration of industrial logistics information. Simulation results show that the minimum processing time required by the proposed method is 0.7min, integration error always below 4.8%, effectively reducing the information integration time, reducing interfering the irrelevant information to the integration process and improving the accuracy of the integration results.
    Keywords: Supply Chain Management Technology; Information mining; Support vector machine; Clustering center; Flow of information.

Special Issue on: The Design and Management of Serviceability Products and Systems, Smart Industrial and Manufacturing Systems

  • Measurement of Suction Cups Release Time for Press Line   Order a copy of this article
    by Xiaowan Zheng, Bicheng Guo, Boyang Zhang, Siyuan Fang, Bernard Sia, Lianxiang Yang 
    Abstract: Suction cups are widely used in press lines to handle and transfer sheet metal. The release time, which directly affects production efficiency and safety, refers to the dropping off period in which the product completely separates from the suction cups. As of now, no release time data is currently available for use in evaluating press line. To provide such data, an experimental setup has been developed. The setup includes vacuum and non-vacuum system designed to simulate the release process of the press line and an electronic triggering system calculating the release time based on controlling the load. The four most commonly used suction cups, namely the large (110 mm diameter) double and single layer suction cups and small (60 mm diameter) double and single layer suction cups, were tested using the setup. The results show that the measurement system is practical and will provide important information for press line optimization.
    Keywords: Suction cup; release Time; press line; sheet metal gripping; sheet metal transferring; Electronic Measurement System.

  • An integrated storage method of industrial 4.0 processing data based on big data mining   Order a copy of this article
    by Xiaoyuan Luo, Jun Liu 
    Abstract: In order to overcome the problems of poor integration integrity and low storage security of traditional industrial processing data integrated storage methods, a new industrial 4.0 processing data integrated storage method based on big data mining is proposed in this paper. Firstly, the hierarchical clustering method in big data mining is used to mine processing data from industrial 4.0 data. Secondly, based on the mined processing data, the clustering attributes of different processing data are calculated to integrate clusters. Finally, Bayesian method is used to complete the integrated storage of industrial 4.0 processing data. The experimental results show that compared with the traditional integrated storage methods, the integration integrity and storage security of this method are significantly improved, and the maximum integration integrity can reach 97%.
    Keywords: Big data mining; Industry 4.0; Processing data; Integrated storage.

  • Calibration method of mechanical accuracy of drug dissolution meter based on Wavelet Transform   Order a copy of this article
    by Baihu Sun, Bo Yang, Liyuan Zhang 
    Abstract: Aiming at the problems of large mechanical accuracy calibration error in the existing mechanical accuracy calibration methods of drug dissolution meter, a mechanical accuracy calibration method of drug dissolution meter based on wavelet transform is proposed. Firstly, the internal structure and operation process of the drug dissolution meter were analyzed to determine the key parameters; Then, the weight of key parameters is determined by entropy, and the parameters with higher weight are used as the calibration object; Finally, with the help of wavelet transform wavelet signal decomposition and reconstruction, the mechanical accuracy calibration model of drug dissolution instrument is constructed, the mechanical operation parameters of drug dissolution instrument are taken as the model input data, and the mechanical accuracy calibration results of drug dissolution instrument are corrected by singular value packet decomposition. The results show that the calibration error of the proposed method is less than 5%.
    Keywords: Wavelet transform; Drug dissolution meter; Mechanical accuracy; Calibration; Singular value packet decomposition; Decomposition and reconstruction.

  • Full compensation method of thermal error of NC machine tool based on sequence depth learning   Order a copy of this article
    by MingXun Zhu, Zhigang Meng 
    Abstract: In this paper, a full compensation method of thermal error of NC machine tools based on sequence depth learning is proposed. Firstly, the main structure of NC machine tool is analyzed and the principle of thermal error compensation is determined; Then, multiple temperature test points are set at the machine body and main shaft to collect thermal error data. Secondly, the correlation degree of thermal error difference sequence is determined according to the running space state. Finally, the thermal error full compensation model is constructed with the help of RNN network algorithm in sequence depth learning, and the model is modified with the help of Lagrange function to realize full compensation. The results show that the total compensation error of thermal error of NC machine tool is less than 2%.
    Keywords: Cequence depth learning; Compensation effect; Numerical control machine; Thermal error; Full compensation.

  • A Fuzzy PID control method of step response of torque hydraulic mechanical transmission   Order a copy of this article
    by Yingjian Deng 
    Abstract: In order to overcome the problems of large transmission speed calculation accuracy and control error existing in the traditional transmission step response control method, a new convergent torque hydro mechanical transmission step response fuzzy PID control method is proposed in this paper. According to the relationship between speed and torque of each component, the torque convergence compensation equation of hydro mechanical transmission is constructed. According to the transmission compensation results, combined with the fuzzy PID control principle, the fuzzy reasoning algorithm is used to modify the fuzzy control parameters, so as to obtain the improved fuzzy control equation and complete the step response fuzzy PID control of torque hydraulic mechanical transmission. The experimental results show that this method can accurately calculate the transmission speed of torque hydraulic machinery, and has lower control error, and the average control error is only 0.033.
    Keywords: Torque hydraulic machinery; Transmission step response; Fuzzy PID control; Fuzzy inference algorithm.

  • Intelligent color selection method for product packaging design based on particle swarm optimization   Order a copy of this article
    by Jin Fan 
    Abstract: In order to solve the problems of poor correlation between image and color matching and low user satisfaction in the traditional color selection method of packaging design, a new color intelligent selection method of product packaging design based on particle swarm optimization algorithm is proposed in this paper. The color intelligent selection parameters are calculated according to the hue value, the optimization objective function of color intelligent selection parameters is constructed, the parameter optimization problem is transformed into the objective function solution problem, and the particle swarm optimization algorithm is used to solve the objective function to complete the parameter optimization. Combined with the image color enhancement algorithm, adjust the image brightness, enhance the image detail contour, and complete the intelligent selection of color. The experimental results show that this method is feasible and user satisfaction is high in color intelligent selection of product packaging design.
    Keywords: Particle swarm optimization; Product packaging design; Intelligent color selection; Image enhancement; color matching.

  • Life-cycle cost assessment method for industrial products based on fuzzy fault tree   Order a copy of this article
    by Ming-hui Yuan, Yong-feng Wu 
    Abstract: In this paper, a fuzzy fault tree based evaluation method for industrial product life cycle cost was proposed. Determine the key index of the whole life cycle cost of industrial products, calculate the influence degree of cost index through the judgment matrix, and determine the weight of cost index. The least square method is used to extract the least square components of key costs and construct the life cycle cost evaluation model of industrial products. The evaluation results were sorted by fuzzy number, and the failure rate of the fuzzy number after sorting was calculated. The occurrence probability of the optimal value in the evaluation model was determined by fuzzy fault tree top events, and the optimal value of the model was solved. Experimental results show that the accuracy of the proposed method is always higher than 90%.
    Keywords: Fuzzy fault tree; key index; least square method; top event; fuzzy number inefficiency.

  • An optimization method of factory terminal logistics distribution route based on K-means clustering   Order a copy of this article
    by Hui Zhang 
    Abstract: Aiming at the problems of scattered logistics data and low logistics distribution efficiency in the existing factory end logistics distribution route planning methods, a factory end logistics distribution route optimization method based on K-means clustering is proposed. Firstly, information entropy is introduced to optimize the classical K-means dynamic clustering algorithm to collect the factory end logistics distribution data; Then, a priori clustering insertion algorithm is used to process the redundant data in the collected logistics distribution data. The priority characteristics of logistics distribution nodes and the subset of distribution service requirements are established, and the end distribution route planning process is designed. Finally, by setting the starting point of collection and distribution route through the process, determine the data weight in the distribution data set, the optimal route of factory end logistics distribution to realize optimization. The results show that this method has low cost and time-consuming less than 0.3h.
    Keywords: K-means clustering algorithm; Factory end logistics; Logistics distribution route; Location of distribution Center.

  • An enterprise logistics cost management method under the trend of industry 4.0   Order a copy of this article
    by Guomeng Zhao 
    Abstract: In order to overcome the low accuracy of cost factor and total cost calculation in traditional logistics cost management methods, this paper proposes a method of enterprise logistics cost management based on factor weight under the trend of industry 4.0. Firstly, the paper analyzes the transportation mode of enterprise intelligent logistics under industry 4.0, and defines each link of intelligent logistics. Secondly, according to the transportation characteristics of smart logistics, the logistics cost factor is obtained and the weight of logistics cost factor is calculated. According to the weight calculation results of logistics cost factors, the total logistics cost is calculated. Finally, build Likert scale, judge the level of logistics cost, complete the enterprise logistics cost management. The experimental results show that this method can accurately calculate the weight of logistics cost factors and the total logistics cost, and it is more reasonable for enterprise logistics cost management.
    Keywords: Industry 4.0 trend; Enterprise logistics cost; Cost control.

Special Issue on: Smart Production and Logistics Within an Industry 4.0 Environment

  • Exploring the knowledge domain and future research directions in Industry 4.0 for small and medium enterprises: A scientometric analysis   Order a copy of this article
    by Reza Shamseddini, Moslem Alimohammadlou, Habib-Allah Ranaei Kordshouli, Mohammad Hossein Ronaghi 
    Abstract: Industry 4.0 represents a new manufacturing paradigm in which there is a convergence between progressive information technologies and manufacturing technologies. As such, Industry 4.0 can create good opportunities for small and medium enterprises (SMEs). The purpose of this study is to investigate the current status and the future directions of research concerned with Industry 4.0 for SMEs. To accomplish this, the study conducts a scientometric analysis of the records indexed on the Web of Science database to identify the research frontiers, current hot topics, and future directions of studies exploring Industry 4.0 for SMEs. The analysis is processed in CiteSpace software. The findings show that Industry 4.0 has a significant function in transforming SMEs manufacturing and business models. Also, the result of this study can help future studies to have an insight into the frontiers of research exploring Industry 4.0 for SMEs and to clearly choose their research directions
    Keywords: Industry 4.0; SMEs; scientometric.

  • DESIGN AND EVALUATION OF NEW MANUFACTURING PROCESS FOR BLOOSTER PIN   Order a copy of this article
    by MANISH DESHMUKH, Anshul Gangele, Deepak Kumar Gope 
    Abstract: Blooster Pins, commonly known as Bell Crank Pins, are used to hold the bell crank lever, in the gear box of automobiles, which are used to alter the movement through 90
    Keywords: Bell Crank Pin; DFM; MSA; SPC; GRR; Process Capability Index.

  • Managing the Life Cycle Assessment for high-performance refrigerators through a comparative analysis of the impacts   Order a copy of this article
    by Rosa Francesca De Masi, Marialuisa Menanno, Silvia Ruggiero, Giuseppe Peter Vanoli, Matteo Mario Savino 
    Abstract: Today the continuous improvement of refrigeration systems is a topic of discussion both for energy and for environmental sector. The purpose of this work is to develop a research methodology to compare the environmental impacts of two industrial refrigerators through Life Cycle Assessment (LCA). The research was stimulated by the need to identify technology solutions that allows high performances, low energy consumption and low environmental impact. Within the study, trough LCA we appraise the impacts long by the whole lifecycle - from cradle to grave - of two typologies of industrial refrigerator having different insulations technologies. Then, we develop a comparative analysis through different LCA assessment methods between two models having different insulations technologies. Among the main results, the analysis shows that the insulating material does not have high environmental impact, while the highest impact is due to internal and external transports.
    Keywords: Product Development; LCA analysis; Industrial refrigeration; Environmental impact.

Special Issue on: Smart Manufacturing Systems for Industry 5.0 Challenges and Opportunities

  • A path planning algorithm of intelligent transportation robot based on extended Kalman filter   Order a copy of this article
    by Guan He, HongLan Yang 
    Abstract: Aiming at the problem of long calculation time and slow response speed of traditional intelligent transportation robot path planning algorithm, an intelligent transportation robot path planning algorithm based on extended Kalman filter is proposed. By analyzing the relevant principles of optical flow localization, aiming at the fact that a single optical flow sensor can not meet the needs of all application scenarios, multiple optical flow sensors are fused through extended Kalman filter, and the system model and observation model of intelligent transportation robot are established at the same time. The optical flow sensor is fixed on the intelligent transportation robot, the two-dimensional coordinates of the intelligent transportation robot are obtained in real time, and the moving path is planned. The results show that the proposed algorithm can reduce the operation time and improve the response efficiency.
    Keywords: Extended Kalman filter; Intelligent transportation robot; Path planning algorithm; Observation model.

  • Research on remote monitoring method of mechanical equipment fault based on virtual reality technology   Order a copy of this article
    by Yanmei Jiao, Huihui  Tian 
    Abstract: Aiming at the problems of poor fault monitoring effect, low precision and long time in the current mechanical equipment fault remote monitoring method, a mechanical equipment fault remote monitoring method based on virtual reality technology is proposed. Using virtual reality technology, build a three-dimensional model of mechanical equipment, analyze the operation status and perceived information of mechanical equipment, express the mechanical equipment fault in virtual reality, and realize the remote monitoring of mechanical equipment fault. The experimental results show that the average mechanical equipment fault identification ability of the proposed method is 97.8%, and the average mechanical equipment fault false alarm rate is 4.8%. When the mechanical equipment fault characteristic samples are 500, the mechanical equipment fault remote monitoring time is only 9.5s, the monitoring time is fast, the remote monitoring effect is good, and the monitoring accuracy is high; It has good application effect.
    Keywords: virtual reality technology; mechanical equipment failure; fault remote monitoring; three-dimensional model geometric transformation; FMECA; FTA;.

  • An Adaptive Compensation Control Method for the Transmission Error of the Mechanical System Based on the Characteristic Model   Order a copy of this article
    by Wanwan Ren, You Wu, Ronghua Du 
    Abstract: Applying the characteristic model-based golden section adaptive (GSA) control theory, an adaptive error compensation control method for the transmission error of the mechanical system is proposed in this paper. A mechanical transmission system with a compensation mechanism was established, taking the ball screw as the main transmission component. The dynamics characteristic of the mechanical transmission system is analyzed. The GSA control theory based on the characteristic model is introduced. For the established characteristic model of the transmission system, the projection gradient method is used to identify its characteristic parameters online. The stability analysis of the closed-loop system consisting of characteristic model and GSA controller is carried out. The experimental results show that the characteristic model-based GSA control has a good effect on the transmission error compensation, as well as simple on-site debugging. The effectiveness and superiority of the method are verified.
    Keywords: Characteristic model ? Golden section adaptive control ? Feed transmission system ? Error compensation.

  • Traceability Method of industrial product logistics information based on RFID Middleware   Order a copy of this article
    by Qingsong Zhang 
    Abstract: In order to improve the effect of logistics information traceability, this paper designs an industrial product logistics information traceability method based on RFID middleware. Firstly, RFID module is constructed and connected with SSH architecture to monitor the logistics transportation process in real time by using GPS technology. Based on this, the fractal box dimension of the location range of RFID middleware is determined to form a location update strategy. Finally, the logistics location traceability candidate area is constructed, and then the RF card location estimation method is constructed through probability statistics, taking the path with the largest probability value as the traceability path. The experimental results show that the average traceability success rate of this method is 93.54%, the location information acquisition time is less than 1.50 min, and the logistics location information matching accuracy can reach 95.1%, indicating that this method realizes the design expectation.
    Keywords: RFID middleware; Radio frequency identification; Logistics positioning; Location update; Traceability path.

  • Frequency control method of cutting machining based on Wavelet Transform   Order a copy of this article
    by Chunling Li 
    Abstract: Because the traditional method does not effectively process the machining signal in the machining frequency control, there are some problems such as low control accuracy and unstable machining signal. Therefore, a frequency control method of cutting machining based on wavelet transform is proposed. The regulator command signal is used to adjust the phase of the speed regulation controller of the cutting machinery to realize the correction of the mechanical operation signal. The Lagrange method is used to estimate the mechanical vibration state, and the Fourier transform method is used to change the signal. It is concluded that the signal is relatively stable in the period of 0.43-0.75s. The method of wavelet transform is used to control the cutting machining frequency to realize the cutting machining frequency control. The experimental results show that this method has high control accuracy, can effectively remove machining noise, and has high application value.
    Keywords: Wavelet transform; Cutting machinery; Processing frequency; Speed controller; Virtual instrument; Fourier transform.

  • Numerical simulation of combustion temperature field in circulating fluidized bed boiler   Order a copy of this article
    by XiaoFang Wu, LiFeng Zhang 
    Abstract: In view of the low accuracy and long simulation time of traditional methods in the numerical simulation of combustion temperature field of circulating fluidized bed boiler, a new numerical simulation and analysis method of combustion temperature field of circulating fluidized bed boiler is proposed. The combustion mathematical model of circulating fluidized bed boiler is constructed through gas phase combustion model, volatile component analysis model, coke combustion model and radiation model. On this basis, the physical model is established by gambit, and the grid is divided into blocks. The furnace is divided into several parts. Under the inlet boundary conditions, outlet boundary conditions and wall boundary conditions, the temperature field of circulating fluidized bed boiler combustion is numerically simulated. The simulation results show that the proposed method has high accuracy and short simulation time.
    Keywords: Circulating fluidized bed; Boiler combustion; Temperature field; Numerical simulation; Coke combustion model.

  • Research on resource allocation management of industrial supply chain based on blockchain   Order a copy of this article
    by Yulong Wan, Xiaoying Bai 
    Abstract: In order to improve the efficiency and effect of industrial supply chain resource allocation, this paper studies the resource allocation method of industrial supply chain based on block chain. This method analyzes the coupling relationship between block chain and supply chain resource allocation management, updates the industrial supply chain resource pheromone, constructs the industrial supply chain resource allocation model through block chain technology, and realizes the industrial supply chain resource allocation management by combining the optimized simulated annealing algorithm. The experimental results show that the cost consumption rate of the proposed method is only 32.5%, the reliability is as high as 95.2%, and the configuration time is only 17.8s. Therefore, the proposed method has good resource allocation effect and improves the configuration efficiency.
    Keywords: blockchain technology; simulated annealing algorithm; industrial supply chain; supply chain resources; resource allocation model;.

  • A Performance Evaluation of Supply Chain Management Based on Factor Clustering Analysis   Order a copy of this article
    by Yehui Dong, Jiawei Gao, Shanyin Yao 
    Abstract: In order to overcome the problems of low significance coefficient and low evaluation accuracy of current methods, a performance evaluation method of supply chain management based on factor clustering analysis was proposed. Firstly, SPSS software is used to standardize the data of influencing factors of supply chain management performance, and the factors that are not suitable for factor molecules are removed. Then, a factor analysis model was built, and the evaluated eigenvalue, eigenvalue contribution and cumulative contribution after model rotation were calculated. The clustering analysis of multiple common factors and the distance between samples were combined with the contribution calculation results. Finally, the correlation between supply chain management performance evaluation indicators is analyzed, the weight of evaluation indicators is calculated, and the performance evaluation results are obtained. Experimental results show that the significance coefficient of the proposed method is always higher than 0.8, and the accuracy is up to 98%.
    Keywords: Factor analysis; Cluster analysis; Supply chain management; Performance appraisal.

  • Vibration fault detection method of boiler feed pump based on Hilbert vibration decomposition   Order a copy of this article
    by YanYuan Li, XingMing Zhao, ZhongZhu Liu, XiaoFang Sun 
    Abstract: In this paper, a vibration fault detection method of boiler feed pump based on Hilbert vibration decomposition is proposed. Firstly, the vibration signal characteristics of boiler feed pump are analyzed; Then, the wavelet threshold denoising principle is used to quantify the vibration signal and obtain the denoised vibration signal; Then, Hilbert vibration decomposition method is used to decompose the vibration signal and extract the signal features; Finally, the fault type of the feed water pump is judged by the abnormal increase of the feed water pump outlet pressure and the failure of the full opening of the deaerator. The simulation results show that the accuracy of vibration fault detection of boiler feed pump by the proposed method is up to 100%, and the detection time is within 18.32s. The detection accuracy of the proposed method is high and the detection time is short.
    Keywords: Hilbert vibration decomposition; Boiler feed pump; Fault detection; Wavelet threshold.

  • Adaptive scheduling of agricultural machinery equipment production lines for intelligent manufacturing   Order a copy of this article
    by Jian Yan 
    Abstract: Aiming at the problems of low utilization, low balance and long time of traditional scheduling methods, an adaptive scheduling method of agricultural machinery equipment production lines for intelligent manufacturing is proposed. Firstly, according to the number of production plans and the fixed position of the production line, the adaptive scheduling mathematical model of the production line is established. Then, Gaussian mutation operation is used to mutate the pheromone of ant colony algorithm to complete the improvement of ant colony algorithm. Finally, the improved ant colony algorithm is used to solve the production line adaptive scheduling model to realize the adaptive scheduling of agricultural machinery equipment production line. The experimental results show that the average utilization rate of this method is as high as 94.8%, the average equilibrium degree is as high as 94.4%, and the scheduling time is only 15.9s.
    Keywords: intelligent manufacturing; improved ant colony algorithm; agricultural machinery equipment; production line scheduling; adaptive scheduling model;.

  • Construction of human resource allocation model of flow production line based on Fuzzy Mathematics   Order a copy of this article
    by Chengye Zhang 
    Abstract: In order to improve the rationality and access rate of human resource allocation, a method of constructing human resource allocation model of assembly line based on fuzzy mathematics is proposed. Firstly, human resource data is encrypted through chaotic sequence. Then, the talent flow of assembly line is regarded as a random variable, and a Markov prediction model is established to reduce the prediction error combined with constraints. Finally, the fuzzy mathematical algorithm is introduced to divide the importance degree of posts, establish the human resource allocation model, and realize the human resource allocation of assembly line. Verification shows that the maximum matching degree of the method is 1.90, and the access rate is less than 2s, which effectively improves the matching degree and reduces the access time.
    Keywords: Fuzzy mathematics; Human resource allocation; Prediction model; Chaotic sequence; Markov;.

  • An evaluation model of manufacturing innovation ability based on factor analysis method   Order a copy of this article
    by Jinping Qiu 
    Abstract: In order to overcome the problem of poor accuracy of innovation capability evaluation model, this paper proposes a manufacturing innovation capability evaluation model based on factor analysis.Firstly, build the evaluation index system of manufacturing innovation ability. Secondly, the extension analytic hierarchy process is used to obtain the evaluation index weight of innovation ability.Finally, the data variables are selected to construct the sample matrix, the original data are standardized, transformed and tested according to the KMO test standard, the evaluation of manufacturing innovation ability is realized by calculating the factor score, and the evaluation model of manufacturing innovation ability is constructed based on the factor analysis method.The experimental results show that the evaluation time of innovation ability of this model is only 8.6s; The accuracy of the evaluation model in this paper is 99%, which shows that the reliability evaluation result of the model is better.
    Keywords: factor analysis method; extension analytic hierarchy process; manufacturing industry; innovation ability evaluation model.

  • Classification and recognition method of intelligent storage goods based on visual servo   Order a copy of this article
    by Jinbin Zhao, Liyu Ma, Fei Gao, Shujian Chen 
    Abstract: This paper proposes an intelligent storage goods classification and recognition method based on visual servo.The camera coordinates are calibrated based on the visual servo system, and the quaternion Gabor filter convolution algorithm is used to extract the characteristic area of intelligent storage goods; The case differentiation algorithm is used to realize the characteristic area classification of intelligent storage goods; The visual servo technology is used to obtain the objective constraints of the intelligent storage goods recognition function, and the greedy heuristic algorithm is used to solve the optimal intelligent storage goods recognition function to realize the intelligent storage goods classification and recognition.The experimental results show that the classification and recognition accuracy of intelligent storage goods can reach 96.3, the classification and recognition accuracy can reach 97.2%, and the efficiency is significantly improved.
    Keywords: visual servoing; quaternion Gabor filter convolution algorithm; greedy heuristic algorithm; intelligent storage; cargo classification and recognition;rn.