000			04398nam a22005295i 4500
001			978-0-387-33477-6
003			DE-He213
005			20250710083951.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780387334776 _a99780387334776
024	7		_a10.1007/0-387-33477-7 _2doi
082	0	4	_a519.6 _223
100	1		_aPochet, Yves. _eauthor.
245	1	0	_aProduction Planning by Mixed Integer Programming _h[recurso electrónico] / _cby Yves Pochet, Laurence A. Wolsey.
264		1	_aNew York, NY : _bSpringer New York, _c2006.
300			_aXXIV, 500 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Series in Operations Research and Financial Engineering, _x1431-8598
505	0		_aProduction Planning and MIP -- The Modeling and Optimization Approach -- Production Planning Models and Systems -- Mixed Integer Programming Algorithms -- Classification and Reformulation -- Reformulations in Practice -- Basic Polyhedral Combinatorics for Production Planning and MIP -- Mixed Integer Programming Algorithms and Decomposition Approaches -- Single-Item Uncapacitated Lot-Sizing -- Basic MIP and Fixed Cost Flow Models -- Single-Item Lot-Sizing -- Lot-Sizing with Capacities -- Backlogging and Start-Ups -- Single-Item Variants -- Multi-Item Lot-Sizing -- Multi-Item Single-Level Problems -- Multi-Level Lot-Sizing Problems -- Problem Solving -- Test Problems.
520			_aThis textbook provides a comprehensive modeling, reformulation and optimization approach for solving production planning and related supply chain planning problems, covering topics from a basic introduction to planning systems, mixed integer programming (MIP) models and algorithms through the advanced description of mathematical results in polyhedral combinatorics required to solve these problems. This book addresses the solution of real life or industrial production planning problems (involving complex production structures with multiple production stages) using a MIP modeling and reformulation approach. It is based on close to twenty years of research in which the authors have played a significant role. One of the goals of this book is to allow non-expert readers, students in business, engineering, applied mathematics and computer science to solve such problems using standard modeling tools and MIP software. To achieve this the book provides a unique collection of reformulation results, integrating them into a comprehensive modeling and reformulation approach, as well as an easy to use problem-solving library. Moreover this approach is demonstrated through a series of real life case studies, exercises and detailed illustrations. Graduate students and researchers in operations research, management, science and applied mathematics wishing to gain a deeper understanding of the formulations and mathematics underlying this approach will find this book useful because of its detailed treatment of the polyhedral structure of the basic lot-sizing problems and simple mixed integer sets that arise in the decomposition of more complicated problems. This book will allow the reader to improve formulations of non-standard MIP models and produce state-of-the-art models and algorithms.
650		0	_aMATHEMATICS.
650		0	_aMATHEMATICAL OPTIMIZATION.
650		0	_aOPERATIONS RESEARCH.
650		0	_aINDUSTRIAL ENGINEERING.
650		0	_aBUSINESS LOGISTICS.
650		0	_aMANAGEMENT INFORMATION SYSTEMS.
650	1	4	_aMATHEMATICS.
650	2	4	_aOPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING.
650	2	4	_aPRODUCTION/LOGISTICS.
650	2	4	_aINDUSTRIAL AND PRODUCTION ENGINEERING.
650	2	4	_aOPERATIONS RESEARCH/DECISION THEORY.
650	2	4	_aOPTIMIZATION.
650	2	4	_aBUSINESS INFORMATION SYSTEMS.
700	1		_aWolsey, Laurence A. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387299594
830		0	_aSpringer Series in Operations Research and Financial Engineering, _x1431-8598
856	4	0	_uhttp://dx.doi.org/10.1007/0-387-33477-7 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c57273 _d57273