000 03998nam a22005655i 4500
001 978-1-4614-8002-0
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007 cr nn 008mamaa
008 130822s2013 xxu| s |||| 0|eng d
020 _a9781461480020
_9978-1-4614-8002-0
024 7 _a10.1007/978-1-4614-8002-0
_2doi
049 _aAlfaisal Main Library
050 4 _aQA71-90
072 7 _aPDE
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aMAT003000
_2bisacsh
082 0 4 _a004
_223
100 1 _aGoldengorin, Boris.
_eauthor.
245 1 0 _aCell Formation in Industrial Engineering
_h[electronic resource] :
_bTheory, Algorithms and Experiments /
_cby Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXIV, 206 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Optimization and Its Applications,
_x1931-6828 ;
_v79
505 0 _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.
520 _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.
650 0 _aMathematics.
650 0 _aComputer mathematics.
650 0 _aMathematical models.
650 0 _aOperations research.
650 0 _aManagement science.
650 1 4 _aMathematics.
650 2 4 _aComputational Science and Engineering.
650 2 4 _aOperations Research, Management Science.
650 2 4 _aMathematical Modeling and Industrial Mathematics.
655 7 _aElectronic books.
_2local
700 1 _aKrushinsky, Dmitry.
_eauthor.
700 1 _aPardalos, Panos M.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461480013
830 0 _aSpringer Optimization and Its Applications,
_x1931-6828 ;
_v79
856 4 0 _uhttp://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/978-1-4614-8002-0
912 _aZDB-2-SMA
942 _2lcc
_cEBOOKS
999 _c276922
_d276922