Pub Date : 2014-01-01DOI: 10.1504/IJMTM.2014.066702
U. Ghani, N. Sheikh
Most machines in an assembly line are not working on equal cycle times, therefore, the power consumption rating could be of interest, if a buffer is present, eliminated, oversized or undersized during the conception phase. Such pre build analysis is made with the help of emulation of machine in virtual engineering environment. The available useful engineering data, from the virtual environment can be used in a planning and decision support tool such as discrete event simulation. Moreover, machine control is enabled to accommodate the variations in production demands, particularly for the energy consumption when it is physically available on the shop floor. A method is suggested to rate the machine in virtual engineering and then fine tune the cycle time in discrete event simulation to articulate the inventory within the mutually deployed stations. The method has been practically applied and tested in an automotive case successfully.
{"title":"Energy consumption in relation with buffer design during the pre-build stages of manufacturing system","authors":"U. Ghani, N. Sheikh","doi":"10.1504/IJMTM.2014.066702","DOIUrl":"https://doi.org/10.1504/IJMTM.2014.066702","url":null,"abstract":"Most machines in an assembly line are not working on equal cycle times, therefore, the power consumption rating could be of interest, if a buffer is present, eliminated, oversized or undersized during the conception phase. Such pre build analysis is made with the help of emulation of machine in virtual engineering environment. The available useful engineering data, from the virtual environment can be used in a planning and decision support tool such as discrete event simulation. Moreover, machine control is enabled to accommodate the variations in production demands, particularly for the energy consumption when it is physically available on the shop floor. A method is suggested to rate the machine in virtual engineering and then fine tune the cycle time in discrete event simulation to articulate the inventory within the mutually deployed stations. The method has been practically applied and tested in an automotive case successfully.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85073120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-01-01DOI: 10.1504/IJMTM.2014.066696
P. Ramkumar, D. Kulkarni
Selection of appropriate manufacturing process for processing plastics is the biggest challenge during the preliminary design stage. As the selection decisions are complex, there is a need for simple, systematic, and logical methods or mathematical tools to guide decision makers in considering a number of selection attributes and their interrelations in making right decisions. In this paper, we have explored an objective-based multiple attribute decision-making (MADM) method for the selection of plastic manufacturing process. The method uses fuzzy logic to convert qualitative attributes into the quantitative attributes. The procedure has been adapted to rank different process, to quantitatively assist a designer to select a suitable process from a long list for a specific application. A case study of process selection for a plastic moulded automotive fuel tank is used to explain the intricacies involved. The selection is also compared with other graphical methods of decision-making.
{"title":"Objective-based multiple attribute decision-making method for plastic manufacturing process selection","authors":"P. Ramkumar, D. Kulkarni","doi":"10.1504/IJMTM.2014.066696","DOIUrl":"https://doi.org/10.1504/IJMTM.2014.066696","url":null,"abstract":"Selection of appropriate manufacturing process for processing plastics is the biggest challenge during the preliminary design stage. As the selection decisions are complex, there is a need for simple, systematic, and logical methods or mathematical tools to guide decision makers in considering a number of selection attributes and their interrelations in making right decisions. In this paper, we have explored an objective-based multiple attribute decision-making (MADM) method for the selection of plastic manufacturing process. The method uses fuzzy logic to convert qualitative attributes into the quantitative attributes. The procedure has been adapted to rank different process, to quantitatively assist a designer to select a suitable process from a long list for a specific application. A case study of process selection for a plastic moulded automotive fuel tank is used to explain the intricacies involved. The selection is also compared with other graphical methods of decision-making.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75028749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-01-01DOI: 10.1504/IJMTM.2014.066698
N. Ren, John R. Drake, Yixin Li, April H. Reed
One of the key problems in complex product manufacturing is the lack of support for multiple management-oriented perspectives in the design and implementation of work processes. If we do not comprehensively analyse and understand the characteristics of complex product manufacturing projects, we cannot make the decomposition results of a work breakdown structure (WBS) effectively guide the work processes. The purpose of this paper is to develop a research framework for understanding the development and usage of WBS in complex product manufacturing by synthesising theory from project and manufacturing operations management disciplines. This framework must identify how to effectively deliver the information from management requirements to the work process that supports the manufacturing process. To accomplish this purpose, we analyse research in project management and compare the results to characteristics of complex product manufacturing. From this analysis, we design a unique framework of WBS construction and usage in complex product manufacturing and suggest future research directions.
{"title":"Review and outlook of work breakdown structure for complex product manufacturing","authors":"N. Ren, John R. Drake, Yixin Li, April H. Reed","doi":"10.1504/IJMTM.2014.066698","DOIUrl":"https://doi.org/10.1504/IJMTM.2014.066698","url":null,"abstract":"One of the key problems in complex product manufacturing is the lack of support for multiple management-oriented perspectives in the design and implementation of work processes. If we do not comprehensively analyse and understand the characteristics of complex product manufacturing projects, we cannot make the decomposition results of a work breakdown structure (WBS) effectively guide the work processes. The purpose of this paper is to develop a research framework for understanding the development and usage of WBS in complex product manufacturing by synthesising theory from project and manufacturing operations management disciplines. This framework must identify how to effectively deliver the information from management requirements to the work process that supports the manufacturing process. To accomplish this purpose, we analyse research in project management and compare the results to characteristics of complex product manufacturing. From this analysis, we design a unique framework of WBS construction and usage in complex product manufacturing and suggest future research directions.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80002488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-01-01DOI: 10.1504/IJMTM.2014.066700
L. Anojkumar, M. Ilangkumaran
Material selection is an important activity in manufacturing industry. An improper selection of materials leads to affect the productivity and profitability of the organisation. The aim of this paper is to apply the hybrid MCDM approach for the selection of suitable material for pipes to reduce the corrosive wear. The proposed MCDM approach involves FAHP with GRA-TOPSIS. FAHP is used to determine the criteria weights and GRA-TOPSIS used to find the performance ranking of alternative materials. The FAHP-TOPSIS is also applied to the same numerical example to show the effectiveness of the proposed model.
{"title":"A combination of data analytic and compensatory methodology for material selection in sugar manufacturing industry","authors":"L. Anojkumar, M. Ilangkumaran","doi":"10.1504/IJMTM.2014.066700","DOIUrl":"https://doi.org/10.1504/IJMTM.2014.066700","url":null,"abstract":"Material selection is an important activity in manufacturing industry. An improper selection of materials leads to affect the productivity and profitability of the organisation. The aim of this paper is to apply the hybrid MCDM approach for the selection of suitable material for pipes to reduce the corrosive wear. The proposed MCDM approach involves FAHP with GRA-TOPSIS. FAHP is used to determine the criteria weights and GRA-TOPSIS used to find the performance ranking of alternative materials. The FAHP-TOPSIS is also applied to the same numerical example to show the effectiveness of the proposed model.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79052344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-01-01DOI: 10.1504/IJMTM.2014.066706
Maria Elo, Tuomo Kareila
Remanufacturing is a sustainable and cost-effective alternative to virgin material-based manufacturing processes. A product is disassembled, cleaned, repaired and reassembled to function as new, which links to end-of-life strategies. Considered to be the ultimate form of recycling and a source of new international business opportunities, the concept involves not only manufacturing and technological challenges but also managerial and strategic challenges due to complexity and intellectual property rights (IPR) implications. Remanufacturing is often embedded in a web of international activities interlinked across various legal domains, creating ambiguity for IPR. This study is the first to assess IPR implications regarding strategic management of remanufacturing, especially from a global perspective. It combines a meta-analysis of court decisions with qualitative analysis of expert interviews, providing an analytical framework for management challenges related to remanufacturing strategy, operations and IPR. The study contributes a remanufacturer typology and implications for operations and marketing, and provides a conceptual tool for management.
{"title":"Management of remanufacturing – strategic challenges from intellectual property rights","authors":"Maria Elo, Tuomo Kareila","doi":"10.1504/IJMTM.2014.066706","DOIUrl":"https://doi.org/10.1504/IJMTM.2014.066706","url":null,"abstract":"Remanufacturing is a sustainable and cost-effective alternative to virgin material-based manufacturing processes. A product is disassembled, cleaned, repaired and reassembled to function as new, which links to end-of-life strategies. Considered to be the ultimate form of recycling and a source of new international business opportunities, the concept involves not only manufacturing and technological challenges but also managerial and strategic challenges due to complexity and intellectual property rights (IPR) implications. Remanufacturing is often embedded in a web of international activities interlinked across various legal domains, creating ambiguity for IPR. This study is the first to assess IPR implications regarding strategic management of remanufacturing, especially from a global perspective. It combines a meta-analysis of court decisions with qualitative analysis of expert interviews, providing an analytical framework for management challenges related to remanufacturing strategy, operations and IPR. The study contributes a remanufacturer typology and implications for operations and marketing, and provides a conceptual tool for management.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75121536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-01-01DOI: 10.1504/IJMTM.2007.011849
Wang Qing, Li Qing, Shen Hui, Chen Yu-liu
Business process modelling is a primary task and widely used for implementing enterprise IT projects. The existing models represent business domain knowledge and are needed to be well managed and reused. In this paper, a framework consisting of methods and an application tool is presented for the business process model management and its reuse. On the basis of the awareness of the challenges of management and its reuse, this paper introduces a web-based business process model management system. Supported by this application, a hierarchical framework with methods to manage and reuse the business process models is described, in which, the developed models called reference models are organised and stored in a hierarchical structure. For the classification and retrieval of the reference models, a fuzzy neural network classifier is described and a case study is provided as an illustration.
{"title":"Business process model management and reuse: method and an application tool","authors":"Wang Qing, Li Qing, Shen Hui, Chen Yu-liu","doi":"10.1504/IJMTM.2007.011849","DOIUrl":"https://doi.org/10.1504/IJMTM.2007.011849","url":null,"abstract":"Business process modelling is a primary task and widely used for implementing enterprise IT projects. The existing models represent business domain knowledge and are needed to be well managed and reused. In this paper, a framework consisting of methods and an application tool is presented for the business process model management and its reuse. On the basis of the awareness of the challenges of management and its reuse, this paper introduces a web-based business process model management system. Supported by this application, a hierarchical framework with methods to manage and reuse the business process models is described, in which, the developed models called reference models are organised and stored in a hierarchical structure. For the classification and retrieval of the reference models, a fuzzy neural network classifier is described and a case study is provided as an illustration.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75471095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2006-06-15DOI: 10.1504/IJMTM.2006.010058
Xia Pingjun, Y. Yingxue, Liu Jiang-sheng, Liu Jianguang
Virtual assembly, as a typical application of Virtual Reality (VR), provides an efficient tool to optimise assembly planning and evaluation. In this paper, a VR-based Assembly Planning and Training System (VR-APTS) is introduced. Using a Computer-Aided Design (CAD) assembly model as input, the system can output one or several good assembly sequences with the application of an intelligent bionic algorithm. Key techniques in the development of VR-APTS are discussed. A novel information decomposition and transformation method is put forward to transform data from CAD to VR, and a geometric constraint-based virtual environment is set up to support interactive assembly planning and evaluation. First, an initial optimal assembly sequence is generated by virtual disassembly and ant colony optimisation algorithm. Then, this initial sequence is evaluated by virtual assembly simulation, a more practical and optimal assembly sequence is replaned. This is an iterative process until the best assembly sequence is obtained. An application case is studied to demonstrate the basic advantages of the system for assembly planning and training.
{"title":"Optimising assembly planning based on virtual reality and bionic algorithm","authors":"Xia Pingjun, Y. Yingxue, Liu Jiang-sheng, Liu Jianguang","doi":"10.1504/IJMTM.2006.010058","DOIUrl":"https://doi.org/10.1504/IJMTM.2006.010058","url":null,"abstract":"Virtual assembly, as a typical application of Virtual Reality (VR), provides an efficient tool to optimise assembly planning and evaluation. In this paper, a VR-based Assembly Planning and Training System (VR-APTS) is introduced. Using a Computer-Aided Design (CAD) assembly model as input, the system can output one or several good assembly sequences with the application of an intelligent bionic algorithm. Key techniques in the development of VR-APTS are discussed. A novel information decomposition and transformation method is put forward to transform data from CAD to VR, and a geometric constraint-based virtual environment is set up to support interactive assembly planning and evaluation. First, an initial optimal assembly sequence is generated by virtual disassembly and ant colony optimisation algorithm. Then, this initial sequence is evaluated by virtual assembly simulation, a more practical and optimal assembly sequence is replaned. This is an iterative process until the best assembly sequence is obtained. An application case is studied to demonstrate the basic advantages of the system for assembly planning and training.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77008503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1504/ijmtm.2022.10051232
Xiaojun Qi, Guanyu Wei
{"title":"An Optimization control method of manufacturing whole process based on real-time information drive","authors":"Xiaojun Qi, Guanyu Wei","doi":"10.1504/ijmtm.2022.10051232","DOIUrl":"https://doi.org/10.1504/ijmtm.2022.10051232","url":null,"abstract":"","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81354348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1504/ijmtm.2022.10053757
Xiaowan Chen
{"title":"Product packaging text and composition colour matching model design based on visual communication","authors":"Xiaowan Chen","doi":"10.1504/ijmtm.2022.10053757","DOIUrl":"https://doi.org/10.1504/ijmtm.2022.10053757","url":null,"abstract":"","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87436001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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