LEADER 03621nam 2200529Ia 450 001 9910739470903321 005 20200520144314.0 010 $a1-4614-8002-7 024 7 $a10.1007/978-1-4614-8002-0 035 $a(OCoLC)858763763 035 $a(MiFhGG)GVRL6XBP 035 $a(CKB)2670000000530518 035 $a(MiAaPQ)EBC1398500 035 $a(EXLCZ)992670000000530518 100 $a20111102d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aCell formation in industrial engineering $etheory, algorithms and experiments /$fBoris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos 205 $a1st ed. 2013. 210 $aNew York $cSpringer Science$d2013 215 $a1 online resource (xiv, 206 pages) $cillustrations (some color) 225 0 $aSpringer optimization and its applications ;$v79 300 $a"ISSN: 1931-6828." 311 $a1-4614-8001-9 311 $a1-4899-8540-9 320 $aInclude bibliographical references and index. 327 $a1. The problem of cell formation -- 2. The p-Median problem -- 3. Application of the PMP to cell formation in group technology -- 4. The minimum multicut problem and an exact model for cell formation -- 5. Multiobjective nature of cell formation -- 6. Pattern-based heuristic for the cell formation problem in group technology -- 7. Branch-and-bound algorithm for bi-criterion cell formation problems -- 8. Summary and conclusions -- A. Solutions to the 35 CF instances from [71] -- Index -- References. 330 $aThis book focuses on a development of optimal, flexible, and efficient models and algorithms for cell formation in group technology. Its main aim is to provide a reliable tool that can be used by managers and engineers to design manufacturing cells based on their own preferences and constraints imposed by a particular manufacturing system. This tool could potentially lower production costs by minimizing other costs in a number of areas, thereby increasing profit in a manufacturing system. In the volume, the cell formation problem is considered in a systematic and formalized way, and several models are proposed, both heuristic and exact. The models are based on general clustering problems, and are flexible enough to allow for various objectives and constraints. The authors also provide results of numerical experiments involving both artificial data from academic papers in the field and real manufacturing data to certify the appropriateness of the models proposed. The book was intended to suit the broadest possible audience, and thus all algorithmic details are given in a detailed description with multiple numerical examples and informal explanations are provided for the theoretical results. In addition to managers and industrial engineers, this book is intended for academic researchers and students. It will also be attractive to many theoreticians, since it addresses many open problems in computer science and bioinformatics. 410 0$aSpringer optimization and its applications ;$vv. 79. 606 $aManufacturing cells 606 $aIndustrial engineering 615 0$aManufacturing cells. 615 0$aIndustrial engineering. 676 $a658.50011 700 $aGoldengorin$b Boris$01424392 701 $aKrushinsky$b Dmitry$01749933 701 $aPardalos$b P. M$g(Panos M.),$f1954-$0318341 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739470903321 996 $aCell formation in industrial engineering$94184397 997 $aUNINA