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Performance Analysis of a Flexible Manufacturing System

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Abstract

A typical Flexible Manufacturing System (FMS) has been studied under Planning Design and Control (PDC) strategies. The chief objective is to test the impact of design strategy (routing flexibility) on system performance under planning strategy (alternate system load condition) with control strategies (sequencing and dispatching rules). A computer simulation model is developed to evaluate the effects of aforementioned strategies on the make-span time, which is taken as the system performance measure. Shortest Processing Time (SPT), Maximum Balance Processing Time (MBPT) are the sequencing rules for selecting the part from the input buffer whereas for machine selection the dispatching rules are Minimum Number of parts in the Queue (MINQ), and Minimum queue with Minimum Waiting Time of all parts in the Queue (MQMWT). In this paper, the same manufacturing system is modeled under four different system load conditions. These load conditions are Full Balanced Load (FBL), Balanced Machine Load and Unbalanced Processing Time (BMLUPT), Unbalanced Machine Load and Balanced Processing Time (UMLBPT) and Unbalanced Load (UBL) with respect to machine load and processing time. The result of the simulation shows that there is continuous reduction in make-span with increase in routing flexibility when both machine load and processing times are unbalanced i.e., under UBL system condition.

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Late Subhash Wadhwa (Eur. Ing., C.Eng., Ph.D (Ireland)) worked in Europe for several years on prestigious European projects and a US Multinational before joining IIT Delhi. He extensively contributed to the development of generic simulators and expert systems for flexible systems. He was Professor in Industrial Engineering at the Indian Institute of Technology, Delhi. He contributed to Global projects in the IT domain and has coordinated several workshops. He has been consultant / Contributor / National-Expert to many prestigious International bodies. He has over 200 publications and has reviewed papers for renowned journals. He has also been chief consultant on several Industrial projects. He researched extensively in Flexible Systems, SCM, TQM, BPR, Knowledge Management, Simulation, Intelligent Systems, e-Biz / e-Governance / e-education / e-health care etc. He was dedicated to the goal of bringing synergy between Academics, Industry and Research.

Yves Ducq did his Ph.D. from LAP/GRAI at the University of Bordeaux 1. He has extensive interest in Enterprise Modeling. He worked as a consultant to develop GRAI application for industry for several years. He has worked on several European commission projects. As a researcher, he has many publications in many renowned journals and conferences. He is guiding many research students. His research areas include enterprise modeling, UEML, CIM system, supply chains and service systems. He has worked closely with Late Prof. S. Wadhwa and did joint research related to modeling of industrial systems.

Mohammed Ali took his Mechanical Engineering and Master in Industrial Engineering degree from Aligarh Muslim University, Aligarh, U.P. Subsequently he did Ph.D from IIT-Delhi, in the domain of CIM systems under the supervision of Late Professor Subhash Wadhwa. At present he is Assistant Professor in Department of Mechanical Engineering, A.M.U. Aligarh. He has taught many subjects ranging from Industrial Engineering, Industrial Management, Economy and Management, Manufacturing Engineering etc He has publications in journals and conferences. His interest includes Flexible Systems, Simulation, CIMS etc.

Anuj Prakash was pursuing Ph.D. from IIT, Delhi under Late Prof. Subhash Wadhwa. After his Bachelors degree, he has done Masters in Computer Integrated Manufacturing Systems. He is working in the domain of CIM systems involving multiple entity flow modeling. His research interests involve GA, SA, Fuzzy Systems applications to the CIM system problems. He has somepublications in internationals journals and conferences.

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Wadhwa, S., Ducq, Y., Ali, M. et al. Performance Analysis of a Flexible Manufacturing System. Global J. Flexible Syst. Manage. 10, 23–34 (2009). https://doi.org/10.1007/BF03396564

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