Template-Type: ReDIF-Article 1.0
Author-Name: Abdulkadir Özgen
Author-X-Name-First: Abdulkadir
Author-X-Name-Last: Özgen
Author-Name: Mehmet Gençer
Author-X-Name-First: Mehmet
Author-X-Name-Last: Gençer
Title: Agile approach as an answer to internal uncertainty: a case study in large-scale manufacturing
Abstract:
The success of agile product development in the software industry has attracted the attention of new product development (NPD) community. Agile approach has the potential to overcome the uncertainty that dominates today's business conditions. However, there is little research regarding the performance of agile practices, most of which were developed in the software industry, in other contexts. Through a case study methodology, we explore how agile practices address organisational uncertainty in a large-scale manufacturing firm. 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 organisation, internal sources of NPD uncertainty dominate external sources. The three factors in organisational uncertainties are interdependency, team volatility and distributed teams. Furthermore, we develop a model to explain how various agile practices can provide the NPD teams with capabilities to mitigate these organisational uncertainties.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 563-579
Issue: 5/6
Volume: 37
Year: 2023
Keywords: agile practices; new product development; uncertainty; large-scale organisation; organisational change.
File-URL: http://www.inderscience.com/link.php?id=133680
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:5/6:p:563-579

Template-Type: ReDIF-Article 1.0
Author-Name: Harshit K. Dave
Author-X-Name-First: Harshit K.
Author-X-Name-Last: Dave
Author-Name: Naushil H. Patadiya
Author-X-Name-First: Naushil H.
Author-X-Name-Last: Patadiya
Author-Name: Shilpesh R. Rajpurohit
Author-X-Name-First: Shilpesh R.
Author-X-Name-Last: Rajpurohit
Author-Name: Ashish R. Prajapati
Author-X-Name-First: Ashish R.
Author-X-Name-Last: Prajapati
Author-Name: Harit K. Raval
Author-X-Name-First: Harit K.
Author-X-Name-Last: Raval
Title: Investigation on impact strength of 3D printed PLA: effect of part orientation, infill pattern and infill percentage
Abstract:
Fused deposition modelling (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.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 580-598
Issue: 5/6
Volume: 37
Year: 2023
Keywords: fused deposition modelling; FDM; impact strength; part orientation; infill pattern; rectilinear; concentric; Hilbert; infill density.
File-URL: http://www.inderscience.com/link.php?id=133681
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:5/6:p:580-598

Template-Type: ReDIF-Article 1.0
Author-Name: Hao Li
Author-X-Name-First: Hao
Author-X-Name-Last: Li
Author-Name: Yang Qian
Author-X-Name-First: Yang
Author-X-Name-Last: Qian
Author-Name: Hao-Nan Xu
Author-X-Name-First: Hao-Nan
Author-X-Name-Last: Xu
Author-Name: Xiang Gao
Author-X-Name-First: Xiang
Author-X-Name-Last: Gao
Title: Price decision analysis for perishable products under threat of entry: the case of vertical product differentiation
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 company's objective to maximise total expected profits and the optimal timing of the latecomer's 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 company's revenue decline.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 599-618
Issue: 5/6
Volume: 37
Year: 2023
Keywords: vertical product differentiation; price commitment; dynamic pricing; strategic consumer behaviour.
File-URL: http://www.inderscience.com/link.php?id=133683
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:5/6:p:599-618

Template-Type: ReDIF-Article 1.0
Author-Name: Reza Shamseddini
Author-X-Name-First: Reza
Author-X-Name-Last: Shamseddini
Author-Name: Moslem Alimohammadlou
Author-X-Name-First: Moslem
Author-X-Name-Last: Alimohammadlou
Author-Name: Habib-Allah Ranaei Kordshouli
Author-X-Name-First: Habib-Allah Ranaei
Author-X-Name-Last: Kordshouli
Author-Name: Mohammad Hossein Ronaghi
Author-X-Name-First: Mohammad Hossein
Author-X-Name-Last: Ronaghi
Title: Exploring the knowledge domain and future research directions in Industry 4.0 for small and medium enterprises: a scientometric analysis
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.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 408-431
Issue: 5/6
Volume: 37
Year: 2023
Keywords: Industry 4.0; SMEs; scientometric.
File-URL: http://www.inderscience.com/link.php?id=133684
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:5/6:p:408-431

Template-Type: ReDIF-Article 1.0
Author-Name: Manish Deshmukh
Author-X-Name-First: Manish
Author-X-Name-Last: Deshmukh
Author-Name: Anshul Gangele
Author-X-Name-First: Anshul
Author-X-Name-Last: Gangele
Author-Name: Deepak Kumar Gope
Author-X-Name-First: Deepak Kumar
Author-X-Name-Last: Gope
Title: Design and evaluation of new manufacturing process for blooster pin
Abstract:
Blooster pins or bell crank pins are used to hold the bell crank lever, in the gear box of automobiles, which alter the movement through 90° or 180°. This paper lays a revised design for manufacturing (DFM) plan for the production of the blooster pins, which is validated by using the MSA and statistical quality control techniques to evaluate the process performance. In order to reduce the failure risk, a new control plan as well as process failure mode and effect analysis (PFMEA) plan has been devised. The percentage gauge repeatability and reproducibility (GRR) of the measuring system for the new DFM process has been evaluated to be 21.20% implying the acceptability of the existing system for measurements of the new design and the process capability indexes have been calculated to be 1.39 and 0.85 respectively, which indicates the proposed DFM process of the blooster pin is has good capability.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 432-451
Issue: 5/6
Volume: 37
Year: 2023
Keywords: bell crank pin; design for manufacturing; DFM; MSA; SPC; gauge repeatability and reproducibility; GRR; process capability index.
File-URL: http://www.inderscience.com/link.php?id=133685
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:5/6:p:432-451

Template-Type: ReDIF-Article 1.0
Author-Name: Rosa Francesca De Masi
Author-X-Name-First: Rosa Francesca De
Author-X-Name-Last: Masi
Author-Name: Menanno Marialuisa
Author-X-Name-First: Menanno
Author-X-Name-Last: Marialuisa
Author-Name: Silvia Ruggiero
Author-X-Name-First: Silvia
Author-X-Name-Last: Ruggiero
Author-Name: Giuseppe Peter Vanoli
Author-X-Name-First: Giuseppe Peter
Author-X-Name-Last: Vanoli
Author-Name: Matteo Mario Savino
Author-X-Name-First: Matteo Mario
Author-X-Name-Last: Savino
Title: Managing the life cycle assessment for high-performance refrigerators through a comparative analysis of the impacts
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.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 452-479
Issue: 5/6
Volume: 37
Year: 2023
Keywords: product development; LCA analysis; industrial refrigeration; environmental impact.
File-URL: http://www.inderscience.com/link.php?id=133686
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:5/6:p:452-479

Template-Type: ReDIF-Article 1.0
Author-Name: Manne Kaushik
Author-X-Name-First: Manne
Author-X-Name-Last: Kaushik
Author-Name: Abid Musa Mulla
Author-X-Name-First: Abid Musa
Author-X-Name-Last: Mulla
Author-Name: Nikhil P. Raut
Author-X-Name-First: Nikhil P.
Author-X-Name-Last: Raut
Title: Effect of submerged arc welding process on hardness and impact properties of fabricated SAE 1020 low carbon steel plates
Abstract:
This paper studies the effects of submerged arc welding (SAW) on impact and hardness properties of the low carbon steel plate's in-line with SAE 1020 grade. The test specimen of low carbon steel plates with 10 mm thickness used as base material for preparing joint using submerged arc welding. The impact and hardness properties are investigated using Charpy impact testing machine and Brinells hardness testing machine. The results obtained for testing shows that welded joint of low carbon steel plate have superior hardness and impact strength than the other methods. The reason for better mechanical properties is due to the presence of finer grains in heat affected zone and fusion zone. Welding test samples were tested by varying the three process parameters like welding voltage, current, travel speed and fluxes.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 480-491
Issue: 5/6
Volume: 37
Year: 2023
Keywords: low carbon steel plate; submerged arc welding; SAW; Charpy impact test; Brinells hardness test.
File-URL: http://www.inderscience.com/link.php?id=133687
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:5/6:p:480-491

Template-Type: ReDIF-Article 1.0
Author-Name: Chiara Cimini
Author-X-Name-First: Chiara
Author-X-Name-Last: Cimini
Author-Name: Fabiana Pirola
Author-X-Name-First: Fabiana
Author-X-Name-Last: Pirola
Author-Name: Sergio Cavalieri
Author-X-Name-First: Sergio
Author-X-Name-Last: Cavalieri
Title: Challenges and expectations about 5G in the industry: evidence from survey-based research
Abstract:
The introduction of the fifth generation of mobile wireless communication, the 5G, is expected to have disruptive impacts on the manufacturing and logistics processes. The possibility to ensure smarter and faster mobile communications supports applications in several fields, from factory automation to maintenance, quality and logistics, enhancing the adoption of augmented and virtual reality, cloud robotics and artificial intelligence. The aim of this paper is to present an overview of the 5G characteristics and applications in the industry. Moreover, this paper reports the results of a survey conducted in Italian companies, investigating the current level of knowledge and expectation about 5G adoptions. The results show an interesting perspective about the barriers that currently create a gap between the high-perceived importance and the current low level of 5G implementation in industry, demonstrating how, despite relevant benefits are expected, companies still have a prudent attitude in addressing investment in 5G.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 492-511
Issue: 5/6
Volume: 37
Year: 2023
Keywords: 5G; mobile wireless communication; MWC; smart manufacturing; survey.
File-URL: http://www.inderscience.com/link.php?id=133688
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:5/6:p:492-511

Template-Type: ReDIF-Article 1.0
Author-Name: Zahra Khoshsepehr
Author-X-Name-First: Zahra
Author-X-Name-Last: Khoshsepehr
Author-Name: Moslem Alimohammadlou
Author-X-Name-First: Moslem
Author-X-Name-Last: Alimohammadlou
Author-Name: Ali Mohammadi
Author-X-Name-First: Ali
Author-X-Name-Last: Mohammadi
Author-Name: Habib-Allah Ranei Kordshouli
Author-X-Name-First: Habib-Allah Ranei
Author-X-Name-Last: Kordshouli
Title: The fourth industrial revolution: mapping the future
Abstract:
Industry 4.0 is a revolution that has arisen from transformations in the physical, digital, and biological aspects of human life. This revolution occurred with the advent of artificial intelligence, machine learning, and cyber-physical systems. The purpose of this study was to conduct a systematic review of Industry 4.0 technologies and the ways they could affect future research directions. To accomplish this, the articles addressing Industry 4.0 were extracted from the WoSCC and were analysed in CiteSpace. The results revealed that although Industry 4.0 emerged from developed countries, developing countries such as India focused on smart technologies more and could achieve a considerable industrial status in the near future. The findings clarified that although research on Industry 4.0 previously focused on engineering, over the past year's studies in this field mostly investigated such topics as the environment, quality, and Society 5.0, which could shape the future research directions of Industry 4.0.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 512-537
Issue: 5/6
Volume: 37
Year: 2023
Keywords: Industry 4.0; co-cited analysis; research collaboration; burst detection.
File-URL: http://www.inderscience.com/link.php?id=133689
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:5/6:p:512-537

Template-Type: ReDIF-Article 1.0
Author-Name: Sophie Peillon
Author-X-Name-First: Sophie
Author-X-Name-Last: Peillon
Author-Name: Khaled Medini
Author-X-Name-First: Khaled
Author-X-Name-Last: Medini
Author-Name: Thorsten Wuest
Author-X-Name-First: Thorsten
Author-X-Name-Last: Wuest
Title: Building win-win value networks for product-service systems' delivery
Abstract:
Product-service systems (PSS) are complex bundles of products and services aimed at fulfilling customers' needs. The key challenges of designing a new PSS include establishing the underlying value network supporting PSS delivery. The success of a PSS business model relies heavily on establishing a win-win value network that ensures fairly shared value capture and creation among the PSS stakeholders. This paper investigates the underlying challenges of establishing such value networks, and proposes a novel framework for building win-win value networks for PSS delivery. A case study illustrates the applicability and usefulness of the proposed framework in designing and assessing the possible value networks and associated value capture for the delivery of an innovative smart PSS in the cheese industry.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 619-637
Issue: 5/6
Volume: 37
Year: 2023
Keywords: product-service systems; PSS; business model; value network; value capture; economic assessment.
File-URL: http://www.inderscience.com/link.php?id=133693
File-Format: text/html
File-Restriction: Open Access
Handle: RePEc:ids:ijmtma:v:37:y:2023:i:5/6:p:619-637

Template-Type: ReDIF-Article 1.0
Author-Name: Nilubon Chonsawat
Author-X-Name-First: Nilubon
Author-X-Name-Last: Chonsawat
Author-Name: Apichat Sopadang
Author-X-Name-First: Apichat
Author-X-Name-Last: Sopadang
Author-Name: Yacine Ouzrout
Author-X-Name-First: Yacine
Author-X-Name-Last: Ouzrout
Title: Decision-making methods for selecting the best strategy for Industry 4.0
Abstract:
Emerging Industry 4.0 creates a critical challenge when an organisation decides to reform and adapt to developing technologies. The decision maker must be aware of the elements prior to implementing Industry 4.0 strategies and technologies. Following the research approach, this article presents the decision making framework for SMEs in Industry 4.0 implementation decisions. This research begins with Industry 4.0 aspects and readiness maturity levels that identify SME capability. This model is a hybrid multi-criteria method: the fuzzy DEMATEL was used to evaluate the direction of the aspect, and then the fuzzy best-worst method analysed the weighting of aspects. After that, the prioritisation of strategies was ranked. The result concluded the priority of SMEs to select the suitable strategy toward Industry 4.0. Moreover, human skills are the core organisational aspects that embrace adaptation. Finally, the research not only highlights the best strategies selection but also presents the human skills that support organisational implementation.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 538-562
Issue: 5/6
Volume: 37
Year: 2023
Keywords: decision making; decision process; decision framework; human skills; Industry 4.0; technology; maturity model; strategies; readiness.
File-URL: http://www.inderscience.com/link.php?id=133699
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:5/6:p:538-562

Template-Type: ReDIF-Article 1.0
Author-Name: Guan He
Author-X-Name-First: Guan
Author-X-Name-Last: He
Author-Name: Honglan Yang
Author-X-Name-First: Honglan
Author-X-Name-Last: Yang
Title: A path planning algorithm of intelligent transportation robot based on extended Kalman filter
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 analysing the relevant principles of optical flow localisation, 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.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 211-226
Issue: 3/4
Volume: 37
Year: 2023
Keywords: extended Kalman filter; intelligent transportation robot; path planning algorithm; observation model.
File-URL: http://www.inderscience.com/link.php?id=133466
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:3/4:p:211-226

Template-Type: ReDIF-Article 1.0
Author-Name: Yanmei Jiao
Author-X-Name-First: Yanmei
Author-X-Name-Last: Jiao
Author-Name: Huihui Tian
Author-X-Name-First: Huihui
Author-X-Name-Last: Tian
Title: Research on remote monitoring method of mechanical equipment fault based on virtual reality technology
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, a three-dimensional model of mechanical equipment is built, the operation status and perceived information of mechanical equipment is analysed, the mechanical equipment fault in virtual reality is expressed, and the remote monitoring of mechanical equipment fault is realised. 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 9.5 s, the monitoring time is fast, the remote monitoring effect is good, and the monitoring accuracy is high. It has good application effect.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 227-240
Issue: 3/4
Volume: 37
Year: 2023
Keywords: virtual reality technology; mechanical equipment failure; fault remote monitoring; three-dimensional model geometric transformation; FMECA; FTA.
File-URL: http://www.inderscience.com/link.php?id=133467
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:3/4:p:227-240

Template-Type: ReDIF-Article 1.0
Author-Name: Wanwan Ren
Author-X-Name-First: Wanwan
Author-X-Name-Last: Ren
Author-Name: You Wu
Author-X-Name-First: You
Author-X-Name-Last: Wu
Author-Name: Ronghua Du
Author-X-Name-First: Ronghua
Author-X-Name-Last: Du
Title: An adaptive compensation control method for the transmission error of the mechanical system based on the characteristic model
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 analysed. 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.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 241-256
Issue: 3/4
Volume: 37
Year: 2023
Keywords: characteristic model; golden section adaptive control; golden section adaptive; GSA; mechanical transmission system; error compensation.
File-URL: http://www.inderscience.com/link.php?id=133468
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:3/4:p:241-256

Template-Type: ReDIF-Article 1.0
Author-Name: Qingsong Zhang
Author-X-Name-First: Qingsong
Author-X-Name-Last: Zhang
Title: Traceability method of industrial product logistics information based on RFID middleware
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 realises the design expectation.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 257-271
Issue: 3/4
Volume: 37
Year: 2023
Keywords: RFID middleware; radio frequency identification; logistics positioning.
File-URL: http://www.inderscience.com/link.php?id=133469
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:3/4:p:257-271

Template-Type: ReDIF-Article 1.0
Author-Name: Chunling Li
Author-X-Name-First: Chunling
Author-X-Name-Last: Li
Title: Frequency control method of cutting machining based on wavelet transform
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 realise 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 s-0.75 s. The method of wavelet transform is used to control the cutting machining frequency to realise 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.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 272-283
Issue: 3/4
Volume: 37
Year: 2023
Keywords: wavelet transform; cutting machinery; processing frequency; speed controller; virtual instrument; Fourier transform.
File-URL: http://www.inderscience.com/link.php?id=133470
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:3/4:p:272-283

Template-Type: ReDIF-Article 1.0
Author-Name: Xiaofang Wu
Author-X-Name-First: Xiaofang
Author-X-Name-Last: Wu
Author-Name: Lifeng Zhang
Author-X-Name-First: Lifeng
Author-X-Name-Last: Zhang
Title: Numerical simulation of combustion temperature field in circulating fluidised bed boiler
Abstract:
In view of the low accuracy and long simulation time of traditional methods in the numerical simulation of combustion temperature field of circulating fluidised bed boiler, a new numerical simulation and analysis method of combustion temperature field of circulating fluidised bed boiler is proposed. The combustion mathematical model of circulating fluidised 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 fluidised bed boiler combustion is numerically simulated. The simulation results show that the proposed method has high accuracy and short simulation time.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 284-301
Issue: 3/4
Volume: 37
Year: 2023
Keywords: circulating fluidised bed; boiler combustion; temperature field; numerical simulation; coke combustion model.
File-URL: http://www.inderscience.com/link.php?id=133471
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:3/4:p:284-301

Template-Type: ReDIF-Article 1.0
Author-Name: Yulong Wan
Author-X-Name-First: Yulong
Author-X-Name-Last: Wan
Author-Name: Xiaoying Bai
Author-X-Name-First: Xiaoying
Author-X-Name-Last: Bai
Title: Research on resource allocation management of industrial supply chain based on blockchain
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 analyses 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 realises the industrial supply chain resource allocation management by combining the optimised 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 17.8 s. Therefore, the proposed method has good resource allocation effect and improves the configuration efficiency.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 302-314
Issue: 3/4
Volume: 37
Year: 2023
Keywords: blockchain technology; simulated annealing algorithm; industrial supply chain; supply chain resources; resource allocation model.
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:3/4:p:302-314

Template-Type: ReDIF-Article 1.0
Author-Name: Yehui Dong
Author-X-Name-First: Yehui
Author-X-Name-Last: Dong
Author-Name: Jiawei Gao
Author-X-Name-First: Jiawei
Author-X-Name-Last: Gao
Author-Name: Shanyin Yao
Author-X-Name-First: Shanyin
Author-X-Name-Last: Yao
Title: A performance evaluation of supply chain management based on factor clustering analysis
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 standardise 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 analysed, 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%.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 315-333
Issue: 3/4
Volume: 37
Year: 2023
Keywords: factor analysis; cluster analysis; supply chain management; performance appraisal.
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:3/4:p:315-333

Template-Type: ReDIF-Article 1.0
Author-Name: Yanyuan Li
Author-X-Name-First: Yanyuan
Author-X-Name-Last: Li
Author-Name: Xingming Zhao
Author-X-Name-First: Xingming
Author-X-Name-Last: Zhao
Author-Name: Zhongzhu Liu
Author-X-Name-First: Zhongzhu
Author-X-Name-Last: Liu
Author-Name: Xiaofang Sun
Author-X-Name-First: Xiaofang
Author-X-Name-Last: Sun
Title: Vibration fault detection method of boiler feed pump based on Hilbert vibration decomposition
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 analysed. 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 18.32 s. The detection accuracy of the proposed method is high, and the detection time is short.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 334-348
Issue: 3/4
Volume: 37
Year: 2023
Keywords: Hilbert vibration decomposition; boiler feed pump; fault detection; wavelet threshold.
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:3/4:p:334-348

Template-Type: ReDIF-Article 1.0
Author-Name: Jian Yan
Author-X-Name-First: Jian
Author-X-Name-Last: Yan
Title: Adaptive scheduling of agricultural machinery equipment production lines for intelligent manufacturing
Abstract:
Aiming at the problems of low utilisation, low balance and long-time consumption 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 realise the adaptive scheduling of agricultural machinery equipment production line. The experimental results show that the average utilisation 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 15.9 s.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 349-361
Issue: 3/4
Volume: 37
Year: 2023
Keywords: intelligent manufacturing; improved ant colony algorithm; agricultural machinery equipment; production line scheduling; adaptive scheduling model.
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:3/4:p:349-361

Template-Type: ReDIF-Article 1.0
Author-Name: Chengye Zhang
Author-X-Name-First: Chengye
Author-X-Name-Last: Zhang
Title: Construction of human resource allocation model of flow production line based on fuzzy mathematics
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 realise 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 2 s, which effectively improves the matching degree and reduces the access time.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 362-375
Issue: 3/4
Volume: 37
Year: 2023
Keywords: fuzzy mathematics; human resource allocation; prediction model; chaotic sequence; Markov.
File-URL: http://www.inderscience.com/link.php?id=133476
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Template-Type: ReDIF-Article 1.0
Author-Name: Jinping Qiu
Author-X-Name-First: Jinping
Author-X-Name-Last: Qiu
Title: An evaluation model of manufacturing innovation ability based on factor analysis method
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, the evaluation index system of manufacturing innovation ability is built. 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 standardised, transformed and tested according to the KMO test standard. The evaluation of manufacturing innovation ability is realised 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 8.6 s. The accuracy of the evaluation model in this paper is 99%, which shows that the reliability evaluation result of the model is better.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 376-390
Issue: 3/4
Volume: 37
Year: 2023
Keywords: factor analysis method; extension analytic hierarchy process; manufacturing industry; innovation ability evaluation model.
File-URL: http://www.inderscience.com/link.php?id=133477
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Template-Type: ReDIF-Article 1.0
Author-Name: Jinbin Zhao
Author-X-Name-First: Jinbin
Author-X-Name-Last: Zhao
Author-Name: Liyu Ma
Author-X-Name-First: Liyu
Author-X-Name-Last: Ma
Author-Name: Fei Gao
Author-X-Name-First: Fei
Author-X-Name-Last: Gao
Author-Name: Shujian Chen
Author-X-Name-First: Shujian
Author-X-Name-Last: Chen
Title: Classification and recognition method of intelligent storage goods based on visual servo
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 realise 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 realise 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.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 391-403
Issue: 3/4
Volume: 37
Year: 2023
Keywords: visual servoing; quaternion Gabor filter convolution algorithm; greedy heuristic algorithm; intelligent storage; cargo classification and recognition.
File-URL: http://www.inderscience.com/link.php?id=133478
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Template-Type: ReDIF-Article 1.0
Author-Name: Atiya Al-Zuheri
Author-X-Name-First: Atiya
Author-X-Name-Last: Al-Zuheri
Author-Name: Ilias Vlachos
Author-X-Name-First: Ilias
Author-X-Name-Last: Vlachos
Title: A genetic algorithm-based optimisation model for designing an efficient, sustainable supply chain network under disruption risks
Abstract:
Existing supply chain designs focus on efficiency and cost minimisation, particularly in just-in-time (JIT) systems. At the same time, sustainability requires designs that preserve resources and minimise environmental impact; thus, companies should design their supply chains to be simultaneously flexible, sustainable, and efficient. This study proposes a genetic algorithm-based optimisation model to address the trade-off between the total supply cost and the carbon emission cost during supply network disruption. The model is tested using a case study to validate its applicability using the particle swarm optimisation (PSO) approach. A number of factors are analysed: lead time, order quantity variance, and transportation mode selection. Performance variables include the total supply chain cost which comprises production, transportation, and CO<SUB align="right"><SMALL>2</SMALL></SUB> 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.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 1-23
Issue: 1
Volume: 37
Year: 2023
Keywords: genetic algorithm; optimisation model; supply chain design; resilience; sustainability; efficiency; disruptions; carbon tax; just-in-time; JIT; particle swarm optimisation; PSO.
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Template-Type: ReDIF-Article 1.0
Author-Name: Cong Wu
Author-X-Name-First: Cong
Author-X-Name-Last: Wu
Author-Name: Zhan-wen Niu
Author-X-Name-First: Zhan-wen
Author-X-Name-Last: Niu
Author-Name: Chao-chao Liu
Author-X-Name-First: Chao-chao
Author-X-Name-Last: Liu
Author-Name: Fudong Yang
Author-X-Name-First: Fudong
Author-X-Name-Last: Yang
Title: Lean bundles and operational performance: the moderating effect of operational absorptive capacity
Abstract:
The positive effect of lean bundles (LBs) on operational performance (OP) has been widely investigated. However, the moderating mechanism on the relationship between LBs and OP remains unclear. Lean literature suggested that the contextual factors (such as, plant size) would affect the effectiveness of LBs. However, existing literatures focused on external environmental factors, whereas this research examined the effect of contextual factors inside of firms. As a source of competitive advantage, operational absorptive capacity (OAC) can improve the ability to integrate resources through acquiring and utilising knowledge effectively, thereby enhancing the efficiency of production management activities. Hence, OAC were introduced to explore the moderating effect of OAC on the relationship between LBs and OP. This research identified four bundles of lean practices, namely just in time (JIT), total preventive maintenance (TPM), total quality management (TQM) and human resource management (HRM). Ordinary least square analysis was adopted for analysing whether OAC can enhance the effectiveness of the LBs. This research deepens the exploration of the relationship between the LBs and OAC. Moreover, this research contribute to literature on the mechanism that LBs effect OP by offering new insights with contingency theory.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 24-48
Issue: 1
Volume: 37
Year: 2023
Keywords: operational performance; operational absorptive capacity; OAC; lean bundles.
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Template-Type: ReDIF-Article 1.0
Author-Name: D.P. Jena
Author-X-Name-First: D.P.
Author-X-Name-Last: Jena
Title: Mathematical modelling and numerical simulation of direct extrusion process for different cross-section of dies
Abstract:
The present research derives the analytical solutions for direct extrusion for different cross-sections of dies. Additionally, to exterminate the limitation and complexity of analytical solution for complex shapes, and validation of analytically calculated results, the finite element-based simulation is demonstrated. First, the tensile and compressive strength for AA6063-T7 and AA6061 are calculated using simulations and verified with experimental measurements. Then, the simulation of direct extrusion is conducted and authenticated with experimental measurements. Finally, with convinced assumptions, the analytical model for different dies such as elliptical, square, and rectangle shapes are derived. It is shown that the calculated results from simulations agree to analytically calculated results with less than 5% error for different coefficient of frictions and different extrusion ratios.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 49-70
Issue: 1
Volume: 37
Year: 2023
Keywords: tensile test; compressive test; analytical modelling; direct extrusion process; finite element analysis; FEA.
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Template-Type: ReDIF-Article 1.0
Author-Name: Arishu Kaushik
Author-X-Name-First: Arishu
Author-X-Name-Last: Kaushik
Author-Name: Doordarshi Singh
Author-X-Name-First: Doordarshi
Author-X-Name-Last: Singh
Title: Evaluating the status of implementation of AMTs in SMEs located in Northern India: a survey of 202 North Indian SMEs
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 enhances 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.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 71-95
Issue: 1
Volume: 37
Year: 2023
Keywords: advanced manufacturing technologies; AMTs; percent point score; PPS; small and medium enterprises; SMEs; adoption/implementation of AMTs; classification of AMTs; India.
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Template-Type: ReDIF-Article 1.0
Author-Name: Xiaowan Zheng
Author-X-Name-First: Xiaowan
Author-X-Name-Last: Zheng
Author-Name: Bicheng Guo
Author-X-Name-First: Bicheng
Author-X-Name-Last: Guo
Author-Name: Boyang Zhang
Author-X-Name-First: Boyang
Author-X-Name-Last: Zhang
Author-Name: Siyuan Fang
Author-X-Name-First: Siyuan
Author-X-Name-Last: Fang
Author-Name: Bernard Sia
Author-X-Name-First: Bernard
Author-X-Name-Last: Sia
Author-Name: Lianxiang Yang
Author-X-Name-First: Lianxiang
Author-X-Name-Last: Yang
Title: Measurement of suction cups release time for press line
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 optimisation.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 97-114
Issue: 2
Volume: 37
Year: 2023
Keywords: suction cup; release time; press line; sheet metal gripping; sheet metal transferring; electronic measurement system.
File-URL: http://www.inderscience.com/link.php?id=131298
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Template-Type: ReDIF-Article 1.0
Author-Name: Xiaoyuan Luo
Author-X-Name-First: Xiaoyuan
Author-X-Name-Last: Luo
Author-Name: Jun Liu
Author-X-Name-First: Jun
Author-X-Name-Last: Liu
Title: An integrated storage method of Industry 4.0 processing data based on big data mining
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 Industry 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 Industry 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 Industry 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%. 
Journal: Int. J. of Manufacturing Technology and Management
Pages: 115-125
Issue: 2
Volume: 37
Year: 2023
Keywords: big data mining; Industry 4.0; processing data; integrated storage.
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:2:p:115-125

Template-Type: ReDIF-Article 1.0
Author-Name: Baihu Sun
Author-X-Name-First: Baihu
Author-X-Name-Last: Sun
Author-Name: Bo Yang
Author-X-Name-First: Bo
Author-X-Name-Last: Yang
Author-Name: Liyuan Zhang
Author-X-Name-First: Liyuan
Author-X-Name-Last: Zhang
Title: Calibration method for mechanical accuracy of drug dissolution meter based on wavelet transform
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 analysed 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%.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 126-137
Issue: 2
Volume: 37
Year: 2023
Keywords: wavelet transform; mechanical accuracy; calibration; singular value packet decomposition; decomposition; reconstruction; drug dissolution meter.
File-URL: http://www.inderscience.com/link.php?id=131300
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:2:p:126-137

Template-Type: ReDIF-Article 1.0
Author-Name: MingXun Zhu
Author-X-Name-First: MingXun
Author-X-Name-Last: Zhu
Author-Name: Zhigang Meng
Author-X-Name-First: Zhigang
Author-X-Name-Last: Meng
Title: Full compensation method of thermal error of NC machine tool based on sequence depth learning
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 analysed 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 realise full compensation. The results show that the total compensation error of thermal error of NC machine tool is less than 2%.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 138-150
Issue: 2
Volume: 37
Year: 2023
Keywords: sequence depth learning; compensation effect; numerical control machine; thermal error; full compensation.
File-URL: http://www.inderscience.com/link.php?id=131301
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:2:p:138-150

Template-Type: ReDIF-Article 1.0
Author-Name: Yingjian Deng
Author-X-Name-First: Yingjian
Author-X-Name-Last: Deng
Title: A fuzzy PID control method of step response of torque hydraulic mechanical transmission
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, 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.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 151-161
Issue: 2
Volume: 37
Year: 2023
Keywords: torque hydraulic machinery; transmission step response; fuzzy PID control; fuzzy inference algorithm.
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:2:p:151-161

Template-Type: ReDIF-Article 1.0
Author-Name: Jin Fan
Author-X-Name-First: Jin
Author-X-Name-Last: Fan
Title: Intelligent colour selection method for product packaging design based on particle swarm optimisation
Abstract:
In order to solve the problems of poor correlation between image and colour matching and low user satisfaction in the traditional colour selection method of packaging design, a new colour intelligent selection method of product packaging design based on particle swarm optimisation algorithm is proposed in this paper. The colour intelligent selection parameters are calculated according to the hue value, the optimisation objective function of colour intelligent selection parameters is constructed, and the particle swarm optimisation algorithm is used to solve the objective function to complete the parameter optimisation. The correlation function of colour information clustering in packaging design is calculated, combined with the image colour enhancement algorithm, image brightness is adjusted, image detail contour is enhanced, and the intelligent selection of colour is completed. The experimental results show that this method is feasible in the intelligent colour selection of product packaging design, and the satisfaction scores are more than four points.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 162-172
Issue: 2
Volume: 37
Year: 2023
Keywords: particle swarm optimisation; product packaging design; intelligent colour selection; image enhancement; colour matching.
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:2:p:162-172

Template-Type: ReDIF-Article 1.0
Author-Name: Ming-hui Yuan
Author-X-Name-First: Ming-hui
Author-X-Name-Last: Yuan
Author-Name: Yong-feng Wu
Author-X-Name-First: Yong-feng
Author-X-Name-Last: Wu
Title: Life-cycle cost assessment method for industrial products based on fuzzy fault tree
Abstract:
In this paper, a fuzzy fault tree-based evaluation method for industrial product life-cycle cost was proposed. The key index of the whole life-cycle cost of industrial products is determined; the influence degree of cost index through the judgement matrix is calculated and the weight of cost index is determined. 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%.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 173-183
Issue: 2
Volume: 37
Year: 2023
Keywords: fuzzy fault tree; key index; least square method; top event; fuzzy number inefficiency.
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:2:p:173-183

Template-Type: ReDIF-Article 1.0
Author-Name: Hui Zhang
Author-X-Name-First: Hui
Author-X-Name-Last: Zhang
Title: An optimisation method of factory terminal logistics distribution route based on K-means clustering
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 optimisation method based on K-means clustering is proposed. Firstly, information entropy is introduced to optimise 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 dataset, the optimal route of factory end logistics distribution to realise optimisation. The results show that this method has low cost and time-consuming less than 0.3 h.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 184-198
Issue: 2
Volume: 37
Year: 2023
Keywords: k-means clustering algorithm; factory end logistics; logistics distribution route; location of distribution centre.
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:2:p:184-198

Template-Type: ReDIF-Article 1.0
Author-Name: Guomeng Zhao
Author-X-Name-First: Guomeng
Author-X-Name-Last: Zhao
Title: An enterprise logistics cost management method under the trend of Industry 4.0
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 analyses 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, using a Likert scale, the level of logistics cost is judged, and the enterprise logistics cost management is completed. 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.
Journal: Int. J. of Manufacturing Technology and Management
Pages: 199-210
Issue: 2
Volume: 37
Year: 2023
Keywords: Industry 4.0 trends; enterprise logistics cost; cost management; logistics cost factor.
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Handle: RePEc:ids:ijmtma:v:37:y:2023:i:2:p:199-210