Application of operational research models and techniques in flexible manufacturing systems |
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| Affiliation: | 1. Center for Outcomes Research in Liver Diseases, Washington, DC, USA;2. Betty and Guy Beatty Center for Integrated Research, Inova Health System, Falls Church, VA, USA;1. St. Peter’s Institute of Higher Education and Research, Avadi, Chennai, Tamil Nadu, India;2. SMR East Coast College of Engineering and Technology, Thanjavur, Tamil Nadu, India;1. PCM2E, Université François Rabelais, Parc de Grandmont, 37200 Tours, France;2. IPREM–ECP CNRS UMR 5254, Université de Pau et des pays de l’Adour, Hélioparc Pau Pyrénées, 2 av. Pierre Angot, 64053 Pau Cedex 9, France;3. ICG–AIME, Bat 15, cc 15-02 Université Montpellier 2, Pl. E. Bataillon, 34095 Montpellier cedex, France;1. Institute for Numerical Simulation (INS), University of Bonn, Wegelerstr. 6, 53115 Bonn, Germany;2. Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Schloss Birlinghoven, 53754 Sankt Augustin, Germany;3. Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Melbweg 42, 53115 Bonn, Germany;4. Institute of Textile Technology and Process Engineering Denkendorf (ITV Denkendorf), Körschtalstr. 26, 73770 Denkendorf, Germany;1. Department of Mathematics, Faculty of Science and Technology, Science University of Tokyo, 2641 Yamazaki, Noda, Chiba (278-8510), Japan;2. Department of Mathematics, University of Bergen, PO Box 7803, Bergen N-5020, Norway |
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| Abstract: | In this paper, classification of Flexible Manufacturing Systems (FMSs) and flexibilities is presented. It would be difficult to efficiently implement an FMS without solving its design problems. These problems, as well as a number of operations problems, are discussed. A planning and scheduling framework is developed. Based on this framework, the relevant FMS literature is discussed. Most of the tools and techniques applicable for solving FMS problems are listed. Recommendations for future researh are also presented. |
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