International Journal of Manufacturing Technology and Management (46 papers in press)
Cellular layout cell assignment in cellular manufacturing system layout using colonel selection algorithm with considering entry and exit position of the parts to be processed in the layout
by V. Anbumalar, R. Mayandy, M. Shunmugasundaram
Abstract: Cell formation and facility layout formation are the two important steps in a cellular manufacturing system. The cell formation is a combination of part families identification and machine cell formation. The facility layout formation is defined as the determination of the relative locations for allocating the workstations in the available space. In this paper, the cells are assigned optimally in the cellular manufacturing system layout with an objective of minimize the traveling score for a planning horizon using colonel selection algorithm with considering the entry and exit point of the parts to be processed in the cell in addition to sequence of operation and demand required for a planning horizon. The results obtained by the proposed colonel selection algorithm are compared with few heuristic and Meta-heuristic algorithms available in the literature and shows it gives better results.
Keywords: cellular layout; cellular manufacturing system; clonical selection algorithm; fixed entry and exit point; total traveling score.
A Review on Application of Genetic Algorithms in Cellular Manufacturing Systems
by Barnali Chaudhuri, R.K. Jana, Manojit Chattopadhyay, Pranab Dan
Abstract: This study provides a systematic and integrated review of articles, puts up perspective into conceptualization and various critical parameters for research on the application of genetic algorithms to cell design of cellular manufacturing systems during the period 1992 to 2015. Taxonomy of genetic algorithms applications in cellular manufacturing systems is suggested by identifying 10 objectives/criteria, 33 production factors, and 10 performance measures. Considering the heterogeneity of parameters and operators applied by researchers, a metrics for genetic algorithms is developed. The objective of this study is to identify the research trends, chronological progress, the continuous development and the changing pattern of implementation of genetic algorithms in cellular manufacturing systems.
Keywords: Cell Formation; Cellular Manufacturing Systems; Genetic Algorithms; Hybrid Genetic Algorithms; Review.
Effect of Machining Parameters in Drilling of Glass Fiber Reinforced Polymer Composite with Modified AJM Process.
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).
Robust Design Optimization of Constituent Mix and WEDM Electrical Parameters of AA6063/SiC Composites
by Iyyadurai Balasubramanian, Rathinam Maheswaran
Abstract: This paper addresses robust design and development of aluminium based composite materials with ceramic silicon carbide reinforcement with minimum sensitivity subjected to uncontrollable material factor constituent mix of the composite and Wire Electric Discharge Machining (WEDM) electrical machine setting parameters. The robust design reduces the variation in machinability performance of composite caused variations due to the unforeseen input parameters. In manufacturing sectors, the variation in performance is a major problem during the development of material for a process or product. The popular Taguchi parametric design approach is implemented in this work, to identify the best optimum parameter setting towards the single characteristic optimization of machinability performance measures like surface roughness, material removal rate and cutting width, by machining AA6063/SiC composites with different constituent mix through different levels of Electronica Sprintcut WEDM electrical machine setting parameters like pulse on time, pulse off time and peak current.
Keywords: Constituent mix; Wire Electric Discharge Machining; Surface Roughness; Material Removal Rate; Cutting Width; Pulse on time; Pulse off time; Peak current.
How does justice matter in developing supply chain trust and improving information sharing An empirical study in Pakistan
by Sahar Erfanian, Muhammad Ziaullah, Muhammad Abubakar Tahir
Abstract: In supply chain management information sharing has become a major driver of competitive advantage. Because organizations are an essential part of globalized competitive economies which are characterized by the network of intra and inter-firms relationships. Information sharing is an important prerequisite of supply chain integration. This article proposes to examine the association between supply chain justice, trust and information sharing. It presents a conceptual framework in which supply chain justice can affect information sharing through the development of trust between trade channel partners. The conceptual model comprises four hypotheses. We conducted confirmatory factor analysis (CFA), exploratory factor analysis to test the validity and reliability of the model. Hypotheses were tested using structural equation modeling on data collected from 170 firms of Pakistan. The study results indicate the importance for firms to promote supply chain justice in the whole supply chain for the development of partners trust, which can improve the high level of information sharing. Finally, implications for practice, limitations, and guidelines for future research are discussed in the paper.
Keywords: information sharing; supply chain integration; justice; trust; Pakistan.
On process analysis and optimisation of Nd: YAG laser cutting characteristics of Ti-6Al-4V alloy using RSM and NSGA-II
by D. Rajamani
Abstract: In recent years, titanium alloys has find diversified applications in aerospace, manufacturing and processing industries due to its unique characteristics. Ti alloys are difficult to cut by conventional machining techniques due to their uneven temperature distribution and high tool wear rate. The present study investigates the influence of major pulsed Nd: YAG laser process variables (i.e., pulse width, pulse energy, cutting speed, and gas pressure) on different performance measures (kerf deviation (KD) and metal removal rate (MRR)) during cutting of Ti-6Al-4V superalloy sheet. The experiments are designed and carried out based on RSM based Box-Behnken statistical design and the adequacy of developed mathematical model was analysed through ANOVA technique. Then, the optimal settings of operating conditions were predicted using non-dominated sorting genetic algorithm-II (NSGA II). The microstructures of laser cut surfaces were investigated and correlated using scanning electron microscope (SEM).
Keywords: Ti-6Al-4V; laser cutting; optimisation; ANOVA; RSM; NSGA II; kerf deviation; material removal rate; microstructure.
Speed Control of Switched Reluctance Motor (SRM) by Genetic Algorithm Based Optimal H-infinity Control Approach
by A. Rajendran, S. Padma
Abstract: In classical H- Infinity control technique, the uncertainties have parameters namely model error and variation outer disorder. But, the H-infinity control technique is an external control technique. The weight of the transfer function matrix is changed at different system state. Therefore, an optimal control weight is needed to make the system robust. The process of finding optimal control weight is complex because the H-infinity control process is a closed loop controller. To overcome these difficulties, in this paper, an optimal H-infinity control concept is proposed. In the proposed control procedure, the optimal transfer function matrix weight is obtained by genetic algorithm (GA) which is an efficient optimization algorithm. The proposed method is implemented in MATLAB and the speed of the SRM is controlled. Then the weight noise setting is obtained for every time instant. The optimal weight noise setting can be attained by H- infinity optimal control using GA approach.
Keywords: switched reluctance motor; Speed Control Technique; Optimal H-infinity Control; Robustness and genetic algorithm.
SIMULATED ANNEALING ALGORITHM FOR MINIMIZING ASSEMBLY VARIATION IN NONLINEAR ASSEMBLY
by R. Sivasubramanian, G. Venkatesan, M. Sivakumar, R. Sivasankar
Abstract: Precision assemblies need close tolerance components. A close tolerance component requires secondary operations, which increase the manufacturing cost considerably. A good number of methods like uniform grouping, equal probability, uniform tolerance etc., were discussed in literature focused generally on reducing surplus parts or minimizing clearance variation in selective assembly (SA) on the linear assembly. Moreover, existing techniques have used components tolerance for obtaining the best bin combinations rather than using the components dimension. The present work aims to obtain maximum number of products with closer assembly specification from wider tolerance sub components of a non-linear assembly by mating their components dimension based on the best bin combinations. Overrunning clutch assembly (OCA) is considered as an example problem, in which the sub components are manufactured with wide tolerance and partitioned into three to ten bins. A combination of best bins is obtained for the various assembly specifications by implementing Simulating Annealing Algorithm (SAA). The proposed method is proved its effectiveness through showing 24.9% of cost saving in making OCA.
Keywords: Tolerance; Clearance Variation; Non-Linear Assembly; Over Running Clutch Assembly and Simulated Annealing Algorithm.
Experimental Investigations on the Electrodeposition of Ni on Copper Substrate
by Aniket Das, Surekha B, Srinivasa Sai V
Abstract: In the present investigation, an attempt is made to study the electrodeposition of Ni coatings on the copper substrate. It is important to note that the addition of nickel on the copper surface improves the strength and corrosion resistance by allowing the alloy base substrate remain ductile. In this research, Watts bath has been used to perform the electrodeposition of Ni layer on copper substrate. During experimentation, the variables, such as current, solution concentration and electroplating time are considered as the input process parameters and metal deposition rate and micro hardness of the coating are treated as the responses. The number of experiments conducted to study the electrodeposition process has been decided based on the central composite design of experiments. It has been observed that the metal deposition rate and micro hardness of the coating is increased with the increase in the operating range of the input process parameters
Keywords: Electrodeposition; Ni coating; copper substrate; central composite design of experiments.
Optimized Fault Tolerant Core based ASIC Design for SRAM
by T. Suresh, Z. Brijet
Abstract: SRAMs are suitable to the applications of space and other radiation environment. Unfortunately, SRAMs are vulnerable to Single Event Upsets (SEUs) induced by radiation environments particles. So, the designer needs to validate an efficiency of the developed designs to detect and correct the errors. In this paper, an error-detection Hamming code which can be used to detect single and multiple bit errors and correct these errors in SRAMs has been proposed. It is a novel self-repairing approach for fast fault recovery with an optimized design which requires less number of resources, which can be easily applied to real time complex digital applications. The fault tolerant core is verified using Hamming code and synthesized using Xilinx ISE 14.5 and Cadence RTL compiler targeted to UMC90nm CMOS technology. After the successful synthesis the physical design using the CADENCE ENCOUNTER has been created. The physical design involves the floor planning, routing and generating a GDS II file. The total optimized area is about 3512mm
Keywords: Fault tolerance; SRAMs; Hamming code; Single-event-upset (SEU).
FPGA Implementation of Gate Level Modified Adaptive Filter Architecture for Noise Cancellation Application
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.
The International Location Decision: A Study of Manufacturing Firms
by Ebou Touray, Andreas Schmidt, Zaza Hansen
Abstract: The aim of this paper is to build a broader understanding of the international location decision (ILD) of manufacturing by investigating and mapping Danish manufacturing firms related activities and underlying processes. Using an exploratory survey approach on 17 Danish firms, the study shows there is less emphasis on cost than in past studies and a large unstructured human influence. A framework containing six categories of ILD factors cost, labor and social characteristics, infrastructure, politics and regulations, economics, and markets and resources and an assessment of their respective single factors are presented. Lastly, the paper identifies five major shortcomings in the current practice: unstructured processes, noninvolvement of the operational level of the organization, static perspective of dynamic factors, uneven balance between quantitative and qualitative factors, and no organizational learning.
Keywords: The International Location Decision; manufacturing firms; framework; shortcomings.
Estimating and Developing the Dynamic Parameters of Two Area Power System Using BAT Algorithm
by Jeha J, S. Charles Raja
Abstract: In this paper, a half breed procedure is proposed for building up the dynamic execution of the two region power framework with Thyristor Controlled Series Capacitor (TCSC) gadget. The cross breed procedure is consolidated with the BAT algorithm (BA) and artificial neural network (ANN) to exploitation the solidness of the lessened two range power framework demonstrate and evaluated the force generator reactance and inertias in the exchange way. The BA is evaluating the dynamic parameters and the NN is improving the looking conduct of the BA for creating higher execution of the framework. The proposed strategy is spotlight on the decreased model force framework which is utilized the TCSC for settling the parameters and synchronizing the two range framework. The execution of the proposed strategy is contrasted and the parameters and arranged taking into account the TCSC associated existing procedures like GA, ABC, PSO and CS.
Keywords: Two machine reduced model; Dynamic parameters; Voltage and current parameters; TCSC; Reactance; Inertias; BA and NN.
Simplified Full Precision Offset Estimation for timing and frequency Synchronization using factorized FFT processor
by Janakiraman V, Kannan M
Abstract: This paper presents a design methodology for highly reliable timing and frequency synchronization through scaled floating point arithmetic based factorized FFT processor. Radix factorization is the main technique for achieving high energy efficiency, followed by errorless floating point arithmetic computation will increase the performance of the coarse timing and frequency synchronization. Here representation of error propagation model for training sequence used for synchronization process with fixed point arithmetic is derived to analyze the rounding effect. The effect of quantization loss due to the fixed point arithmetic errors and in overall OFDM system performance with decimation-in-frequency (DIF) FFT configuration is analyzed and compared with full precision floating arithmetic through simulation. Based on the results, a simple bit size optimization is proposed to yield full precision accuracy with fewer bits. Finally radix-22 algorithm is proposed to compensate the area overhead due to inclusion of precision arithmetic in FFT computation.
Keywords: Full Precision Offset Estimation; Orthogonal frequency division multiplexing (OFDM); carrier frequency offset (CFO); Fast Fourier transform (FFT); discrete in time (DIT),timing and frequency Synchronization.
Investigation on the Effect of Support Structure Space in Determining Optimal Part Orientation Using a Generic Algorithm
by S. Malligarjunan, Chandrasekaran M, G.B. Bhaskar
Abstract: Prominence on support structure in limiting the build time of Rapid Prototyping (RP) processes got the least allure from researchers. Likewise, the Support Structure Space (3S) was not utilized yet to prolong the investigation in this arena. This paper proposes a critical thinking approach that limits build time to a lesser value, for part building in RP processes using a generic algorithm. Build time reduction leads to lower fabrication cost of the part. Construction of the bounding box, computation of the 3S volume and orientation of the part are discussed in the development phase of the algorithm. The verification and validation of sample-fabricated parts on FDM system have been done by comparing the outcomes obtained against the numerically estimated values.
Keywords: rapid prototyping; additive manufacturing; part orientation; build time; support structure; FDM; fused deposition modeling.
Modeling bead width and bead hardness in submerged arc welding using dimensional analysis
by Abhijit Saha, Subhas Chandra Mondal
Abstract: The Submerged Arc Welding (SAW) process finds wide industrial application due to its easy applicability, high current density and ability to deposit a large amount of weld metal using more than one wire at the same time. This paper presents the application of two techniques, namely, Rayleighs dimensional analysis for modeling and Grey relational analysis (GRA) for multi-objective optimization for bead width and bead hardness in SAW based on welding parameters such as, welding current, arc voltage, welding speed and electrode stick out respectively. Based on the experimental result, it was concluded that Grey relational analysis is suitable for the optimization of multi-response problem. The best-fitting curves were obtained for experimentally observed values of both bead width and bead hardness on the basis of the Rayleighs model. The comparison with experimental results will also served as further validation of model. The proposed methodology can be applied to other manufacturing processes dealing multivariate data.
Keywords: Submerged arc welding (SAW); Rayleigh’s theorem; Dimensional analysis; Grey relational analysis (GRA); Bead width; Bead hardness.
Modified firefly algorithm based quasi Z-source cascaded multilevel inverter (QZS- CMI) in power system
by G. Prem Sunder, Shanthi B., Alamelu Nachiappan, Natarajan S.P.
Abstract: In this paper, an intelligent technique is proposed to control the three-phase QZS-CMI-based grid-tie PV power system. The proposed system can achieve the constant dc-link peak voltage control, distributed maximum power point tracking (MPPT), and grid-tie power control with reduced harmonics. The proposed technique is the modified Firefly Algorithm (FA) among Particle Swarm Optimization (PSO) algorithm. The input of the proposed algorithm is the actual and desired PV voltage which is used to analyze the each modules by means of PV power, dc-link voltage, and grid-injected power with unity power factor. The intention of the task is to reduce the deviation of PV panel voltage for to engender their equivalent current and pulses. The PSO algorithm is utilized to improve the performance of t FA which is based on their randomized factor. Therefore, the optimal results are accomplished for to enhancing the performance of qZ-CMI. The main objective of the paper is described the total PV panel voltage control and grid-tie current control by using proposed technique. The proposed technique is implemented in Matlab/Simulink platform and their performances are contrasted by means of the existing methods such as PSO and base controller.
Keywords: quasi ZS-CMI; firefly algorithm PSO algorithm; PV; grid; module and dc link voltage.
TECHNOLOGY ASSESSMENT OF SMEs IN THE MANUFACTURING SUB-SECTORS BY FUZZY AHP, VIKOR AND TOPSIS APPROACHES
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.
Extrusion-Based Additive Manufacturing Systems: Current State, Parameters Optimization, Materials, Research Gap, Challenges and Future Potential
by Narendra Kumar, Prashant K. Jain
Abstract: In recent years, additive manufacturing (AM) has seen tremendous growth due to its capability of fabricating parts directly from CAD model with high geometric complexities. Among all available AM systems, the extrusion-based systems are popular than others due to their low-cost and simple design. Different variants of extrusion-based AM systems have been developed worldwide. The current article reviews the research trends in extrusion-based AM systems on process parameter optimisation, material development, system variants and their limitations. This review also highlights the present scenario, research gap, challenges and future possibilities of these techniques.
Keywords: additive manufacturing; 3D printing; layered manufacturing; extrusion; optimisation; materials; pellet; filament.
Strategic implementation of Just in Time practices for enhancing the performance of manufacturing industry- An Empirical Investigation
by Jagdeep Singh
Abstract: The purpose of this paper is to uncover the significance of strategic implementation of JIT practices towards manufacturing performance improvement. This study is an attempt to assess the performance of strategic implementation of JIT practices in manufacturing medium and large scale enterprises of Northern India. Questionnaire survey has been performed to ascertain the role of JIT issues towards manufacturing performance improvement by taking into account different practices of JIT. Hypotheses has been framed and tested using structural equation modeling and paired sample t test assuming equal variance. Findings suggest that the improvement in design aspects is the most important benefit achieved after successful implementation of JIT practices. Strategic implementation of JIT approach significantly improves the manufacturing performance through implementation of JIT practices. Both JIT issues and practices individually aimed at improving manufacturing performance through strategic implementation. JIT strategic implementation is gaining momentum with time.
Keywords: Just in Time manufacturing; waste; manufacturing etc.\r\n\r\n.
Identification and Prioritization of Technology Management Practices for Enhancing Competitiveness of Auto Components Manufacturing Firms in India
by Ram Khilari, Om Prakash Wali, Rajesh K. Singh
Abstract: Auto component manufacturing is an important sector for Indias industrial growth. During last six decades, this industry has made profound progress; its operations are still largely dependent on imported technology. It is lagging behind many industrially advanced countries. Enhancement of firms competitiveness in this sector has been a major concern. Technology and its management is considered as one of the most important drivers for enhancing competitiveness, but which technology management practice be accorded highest priority and which one would be the next, and so on, has hitherto not been attempted. With this purpose, through literature review, competiveness indicators and technology management practices relevant to this sector have been identified. Using AHP model, prioritization of competitiveness indicators and technology management practices affecting competitiveness, has been done. Based on the findings, the paper suggests a technology management framework for enhancing competitiveness for auto components manufacturing firms, which could also be useful to other sectors manufacturing firms.
Keywords: Auto Component; Competitiveness; Prioritization; Technology Management.
A Genetic Algorithm-based Optimization Model for Designing an Efficient, Sustainable Supply Chain Network under Disruption Risks
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.
Lean bundles and operational performance: the moderating effect of operational absorptive capacity
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
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
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.
Modelling and group decision-making method for virtual enterprise partner selection with fuzzy completion time and due date
by Bin Huang, Yankai Xiao
Abstract: We have studied the partner selection problem (PSP) in virtual enterprises with different preferences and uncertainties in completion time and due date. As a result, a new model employing fuzzy sets theory has been established to explain fuzzy completion time and fuzzy due date. For the candidate solutions obtained by decision-makers with different preferences, a multi-objective group decision-making (MOGDM) approach has been proposed to select the best partner combination. Finally, a numerical example has been presented to demonstrate the validity of the model and method.
Keywords: partner selection; virtual enterprise; fuzzy completion time; fuzzy due date.
Special Issue on: LISS16-OPMSC Optimisation Problems in Manufacturing and Supply Chains
CORRELATION ANALYSIS AND PRIORITIZED ABC FSN MATRIX FOR PHARMACY INVENTORY MANAGEMENT
by Manivel Palanisamy
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.
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.
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.
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: Smart Manufacturing
Dynamic Cost Evaluation Method Of Intelligent Manufacturing Enterprises Based On Dea Model
by Chunyan Zhao
Abstract: Aiming at the problems of low economic benefit and high dynamic cost consumption in intelligent manufacturing enterprises, a DEA model based dynamic cost evaluation method for intelligent manufacturing enterprises is proposed.This method establishes DEA cost evaluation model by selecting decision unit, cost evaluation interval and evaluation index.The model calculates the total input cost according to the operation sequence of intelligent manufacturing enterprises, and updates the dynamic cost in real time by analyzing the influencing factors of cost consumption.Finally, relevant data is substituted into the cost evaluation based on DEA model and compared with the established evaluation standard to obtain the dynamic cost evaluation results of intelligent manufacturing enterprises.The experimental results show that the dynamic cost evaluation method based on DEA model can effectively save more than 40% of the cost consumption, and the error value of cost evaluation is reduced by 0.1188.
Keywords: DEA model; Intelligent manufacturing; Manufacturing enterprise; Dynamic cost; Cost evaluation;.
Monitoring Of Data Grabbing By Multi-Sensor Parallel Robot Based On Visual Screening
by Meijie Shang, Jieming Zhang, Fangyuan Han, Min Yu
Abstract: In order to overcome the problems of low monitoring accuracy and efficiency existing in the existing monitoring methods of grab data, a new monitoring method of grab data of multi-sensor parallel robot based on visual screening is proposed. Multi-sensor data fusion is used to identify the robot's pose. Based on visual screening technology, FH visual processing module is constructed by using FH visual controller, camera and LED light source, and camera connection is completed by using fz-vs camera line and FH visual controller. Transfer data information such as workpiece type and coordinates to NJ controller. The controller uses the network and servo driver to connect, and combines the robot pose detection results to realize the robot grasping data control. The experimental results show that this method has high monitoring accuracy and efficiency, and the shortest monitoring time is only 21s.
Keywords: Visual screening; Multi-sensor; Parallel robot; Grab; Monitoring.
An Obstacle Avoidance Trajectory Control Method For Intelligent Robot Based On K Decision Tree
by Junru Wang
Abstract: In order to overcome the problem that the existing trajectory control methods of robot avoiding obstacles do not recognize the position and pose of the target and have large control error, this paper proposes the research of trajectory control method of intelligent robot avoiding obstacles based on K decision tree. The robot motion model and the ultrasonic sensor observation model are established, and the self positioning coordinates are obtained. K-decision tree algorithm is used to extract the visual features of point cloud, build database, target recognition, etc. to achieve the trajectory control of robot obstacle avoidance. The experimental results show that the control accuracy of the proposed method is strong and it is a reliable obstacle avoidance control method for robot.
Keywords: K decision tree; Intelligent robot; Obstacle avoidance; Trajectory control.
Research on Distributed Logistics Scheduling Method for Workshop Production based on Hybrid Particle Swarm Optimization
by Xiangli Xu, Jiangong Yang
Abstract: In order to overcome the problem of fuzzy priority of distributed logistics scheduling, this paper proposes a distributed scheduling method for workshop production logistics based on hybrid particle swarm optimization. This method introduces RFID (Radio Frequency Identification) technology, designs and analyzes RFID application structure, and collects production process data of the workshop. Based on the satisfaction of task completion time and delivery time, total production input cost, and equipment utilization, etc., the optimal construction logistics distributed scheduling model is constructed, and the particle swarm algorithm and genetic algorithm are used to solve the target model, and the particle position The sequence of the strings in the vector is described as the scheduling priority. The decision-making layer selects the best scheduling solution based on actual requirements. Experimental results show that this method can effectively control the cost and time of scheduling, and its performance is better than the current method.
Keywords: Intelligent manufacturing; Workshop production; Logistics; Distributed scheduling.
Research on the Invulnerability of Cross-border Bidirectional Logistics Network in E-commerce Supply Chain
by Li Ding
Abstract: In order to improve the security of cross-border bidirectional logistics network in e-commerce supply chain, this paper proposes a research method for the invulnerability of cross-border bidirectional logistics network in e-commerce supply chain. Build cross-border two-way electricity supply chain logistics network model, the analysis of cross-border two-way electricity supply chain logistics network anti-destroying ability of network security, network loss degree and average benefit evaluation indexes, through the index variation characteristics that describe the network invulnerability, cross-border development of two-way logistics network attack strategy on the impact of network invulnerability. Through experimental analysis, it is found that the anti-destruction analysis time of the method in this paper is always lower than 5.83s, with the shortest time, and the analysis accuracy is always above 98.26%, with high accuracy, which can effectively resist the cross-border two-way logistics network attack of the e-commerce supply chain and improve the network security.
Keywords: E-commerce; Supply chain; Cross-border; Bidirectional logistics; Network; Invulnerability.
Economic Benefit Evaluation Modeling Of Intelligent Manufacturing Enterprises Based On Entropy Value Method
by Xin Zhang
Abstract: In order to overcome the problems of low efficiency, low accuracy and high cost existing in the traditional evaluation model, this paper proposes a new economic benefit evaluation model of Intelligent Manufacturing Enterprise Based on entropy method. Determine the principles, ideas and specific contents of the evaluation index of the economic benefits of intelligent manufacturing enterprises, and complete the construction of the evaluation index system. In this paper, entropy method is used to build an evaluation model of the economic benefits of intelligent manufacturing enterprises from four different dimensions, i.e. innovation input capability, innovation output capability, innovation configuration capability and innovation support capability of intelligent manufacturing enterprises, and entropy method is used to process the model data to obtain the final evaluation results of the economic benefits of intelligent manufacturing enterprises ? The experimental results show that the proposed model has high evaluation accuracy and low evaluation delay, with the highest accuracy of 99.97%.
Keywords: Entropy value method; Intelligent manufacturing enterprise; Economic benefit; Evaluation modeling.
Special Issue on: Big Data and AI for Process Innovation in the Industry 4.0 Era
Research on wear characteristics of spraying material layer on hydraulic equipment of multi-axis CNC machine tool based on discrete element method
by Xiaoyan Zhao, Fan Yang
Abstract: In order to solve the problems of low accuracy and long time-consuming of traditional methods in analyzing the wear characteristics of spraying material layer of multi axis CNC machine tool hydraulic equipment, a research method of wear characteristics of spraying material layer of multi axis CNC machine tool hydraulic equipment based on discrete element method was proposed. The discrete element method was introduced to analyze the wear characteristics of spraying material layer of multi axis CNC machine tool hydraulic equipment. Based on the discrete element method , the contact model of spraying material layer of multi axis CNC machining hydraulic equipment was established. The friction coefficient and wear rate of multi axis CNC machine tool hydraulic equipment spraying material layer under different load and sliding speed analyzed. The experimental results show that the accuracy of the proposed method is up to 99% and the analysis time is about 7 s.
Keywords: Discrete element method; Multi-axis NC machine tool; Hydraulic equipment; Kinematic model; Spraying material layer; Wear characteristics;.
Optimization of multi-channel to single channel control method for food packaging line based on PLC
by Kehui Xuan, Guangchao Gu
Abstract: In order to overcome the problems of low efficiency and high control error of single channel to multi-channel in food packaging line, a multi-channel to single channel control method for food packaging line based on PLC was proposed. This method uses PROFINET Industrial Ethernet technology to design the network architecture of the control system. The machines and equipment are connected through the packaging and conveying chain, the basic speed of the packaging chain is calculated, the production task is coordinated, the frequency signal and speed signal of the frequency converter are converted, and the adjustment test is carried out in the later stage to achieve the predicted control effect. The experimental results show that the packaging efficiency is always above 96%, and the minimum control error is 0.002, which has good control effect and can meet the production requirements of food packaging plants.
Keywords: PLC; Food packaging line; Multi channel to single channel; Control method; Optimization research.
Synchronous speed control for industrial production line based on BP neural network
by Tianci Pan, Changhong Zhu
Abstract: In order to overcome the problems of large speed control error and poor anti-interference effect existing in the traditional speed control methods, the paper proposes a speed synchronization control method of industrial production line based on BP neural network. Firstly, the state of production equipment is adjusted through PLC operation instruction, and amplifier circuit is designed to reduce the influence of signal interference. Then the speed control parameters of the production line are adjusted by adaptive control method, and the parameters are fused by fuzzy control theory. Finally, the speed of the industrial production line is synchronously controlled by BP neural network. The experimental results show that the control error coefficient of this method is always lower than 9%, and the influence of step disturbance signal is low, indicating that this method has good application performance.
Keywords: BP neural network; Industrial production lines; Speed control; Fuzzy control theory; PLC instructions; Adaptive control.
Research on operation stability evaluation of industrial automation system based on improved deep learning
by Bo Peng
Abstract: In order to overcome the problems of low evaluation accuracy, long evaluation time and high data extraction error of traditional methods, an evaluation method of industrial automation system operation stability based on improved deep learning is proposed. This paper analyzes the key indicators of industrial automation system operation stability evaluation, activates the sample data with the help of binary cross entropy function, and obtains the partial derivative of artificial neural network to complete the improvement of artificial neural network. The running characteristics of industrial automation system are extracted, and the feature data are de-noising with the help of self encoder. These data are input into the improved artificial neural network, and the evaluation results are output. The experimental results show that the highest evaluation accuracy of the proposed method is about 96%, the evaluation time is less than 0.6s, and the error of feature data extraction is only 2.1%.
Keywords: Improved deep learning; industrial automation system; stability evaluation; binary cross entropy function; self encoder.
Optimization design of reverse logistics network based on hybrid genetic algorithm
by Yan Sun
Abstract: Traditional enterprise reverse logistics network optimization has a problems of low sales profit and low asset income rate. A new hybrid genetic algorithm is proposed to optimize it . Determines the influencing factors of reverse logistics network optimization, constructs a enterprise reverse logistics network model, designs the decomposition and coordination algorithm , divides this reverse network into small groups, judges the optimization scheme and solves the reverse logistics network model with the help of genetic algorithm to optimize . It can be seen from the comparison: Through this method, the profit margin of sales and return on assets can reach 90%, it can enhance the operating profit of the enterprise.
Keywords: Hybrid genetic algorithm; Reverse logistics network; Network model; Decomposition coordination algorithm; Genetic algorithm.
Research on total amount prediction of import and export trade data based on combined predicting model
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.
Optimization method for NC machining parameters of mechanical mould based on artificial neural network
by Renxing Wen
Abstract: In order to overcome the problems of low production profit and high processing cost existing in traditional methods, an optimization method for NC machining parameters of mechanical mold based on artificial neural network is proposed. Considering the cutting speed, feed rate, cutting depth, machine power and spindle speed in the process of NC machining of mechanical mold, the maximum profit, minimum processing cost and maximum productivity are taken as the optimization objectives, and the objective function of NC machining parameters optimization of mechanical mold is constructed. The NC machining parameters of Mechanical mold are taken as the input of parameter optimization model, and the artificial neural network is used to solves the model. The experimental results show that the proposed method has high production profit, low processing cost, high productivity and good practical application effect.
Keywords: Artificial neural network; Mechanical mould; Data processing; Parameter optimization; Objective function.
Intelligent color matching method for industrial products based on Firefly algorithm
by Xiaocong Yan, Feng Liu
Abstract: In order to overcome the problem of long time consuming and low feasibility of producing color scheme in traditional product color matching method, this paper designs an intelligent color matching method for industrial products based on firefly algorithm. Firstly, the color cases of industrial products are obtained through the selection of color matching samples, color selection and fusion and color case expression process. Then, based on the analysis of firefly algorithm update rules, the color library of industrial products is established. Based on this, the coding mode and color fitness of firefly algorithm are designed, and the intelligent color matching of industrial products is completed by firefly individual brightness sorting and continuous iterative updating. The results show that: in the experiment, the maximum time of the method to generate the color scheme is 14.1s, and the maximum F-measure value can reach 0.95, which proves that the method has high effectiveness.
Keywords: Industrial products; Color case; The color library; Firefly algorithm; Coding; Product color.
A cooperative game model of supply chain logistics information based on collaborative immune quantum particle swarm optimization
by Jing Xue, Jina Cui
Abstract: Due to the problems of poor stability and low degree of cooperation in information cooperative game, a cooperative game model of supply chain logistics information based on collaborative immune quantum particle swarm optimization is proposed. Taking the breadth and depth of supply chain logistics information sharing as the evaluation objective, the cooperative game model of supply chain logistics information is constructed by setting the cooperative conditions of game and the stable strategy of information sharing and dynamic game. The Nash equilibrium solution in the cooperative game model of supply chain logistics information is taken as the optimization particle, the global optimal solution of the cooperative game model of supply chain logistics information is obtained, and the design of the cooperative game model of supply chain logistics information is completed. The experimental show that the maximum stability coefficient of supply chain logistics information cooperation of the proposed model is about 0.91.
Keywords: Collaborative immune quantum particle swarm optimization; game theory; supply chain; logistics information; stability.
Budget performance evaluation model of manufacturing enterprises based on triangular fuzzy multi attribute decision making
by Dewang Shi
Abstract: There are some problems in the existing budget performance evaluation models, such as high budget performance evaluation error and long evaluation time. This paper proposes a budget performance evaluation model of manufacturing enterprises based on triangular fuzzy multi-attribute decision. According to the construction principle of the budget performance evaluation index system of processing and manufacturing enterprises, the budget performance evaluation index system of processing and manufacturing enterprises is constructed; the triangular fuzzy number theory is used to gather the mixed evaluation information, combined with the multi-attribute decision-making method, the multi-attribute decision-making matrix is determined, and the evaluation index weight is determined. Using evidential reasoning algorithm, using scoring function and precision function, sorting alternatives, the design of manufacturing enterprise budget performance evaluation model is realized. The results show that the minimum error of the design model is about 0.2%, and the evaluation time is about 0.5s.
Keywords: triangular fuzzy number; multiple attribute decision making; manufacturing enterprises; budget performance evaluation; performance evaluation indexrnrn.
Target Economic Scheduling Model of Intelligent Manufacturing Products Based on Penalty Function
by Huiping Chang
Abstract: In order to solve the problem that the existing target economic scheduling model of intelligent manufacturing products cannot reasonably control the number of feasible tasks, which leads to poor economic scheduling effects, a target economic scheduling model of intelligent manufacturing products based on a penalty function is proposed. Based on the overall structure of the economic dispatch model, the economic dispatch problem is described. Use directed acyclic graphs to define the workflow of smart manufacturing products to design the best solutions. According to the established constraints, the penalty function is applied to the design of the economic dispatch model to complete the design of the economic dispatch model. Experimental results show that the scheduling time of the designed model is generally within 4s, the scheduling cost is less than 60 yuan, and the scheduling accuracy can be maintained at about 70%, which is significantly better than the existing model.
Keywords: penalty function; intelligent manufacturing product; economic dispatch model; workflow.
Dynamic planning method of product multimodal logistics transportation path
by Yulong Wan, Xinchun Li
Abstract: In order to overcome the problems of low accuracy of optimal path selection and long time of path planning existing in traditional logistics transportation path planning method, this paper designs a dynamic logistics transportation path planning method for multimodal transportation of products. A comprehensive index system of multimodal logistics transportation is constructed and fuzzy mathematics method is used to extract uncertainty evaluation factors of product multimodal transportation. According to the extraction results of uncertainty evaluation factors, a dynamic path planning model is constructed, and the genetic algorithm is used to solve the model constructed, and the results of multimodal logistics transportation path planning of products are output. The experimental results show that the optimal path selection accuracy of the proposed method is always above 98%, and the average path planning time is 0.76s. The path planning effect is good, and it can be further extended in practice.
Keywords: Product multimodal transport; Logistics transportation route; Path dynamic planning; Genetic algorithmrnrn.
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
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.