000			03513nam a22004815i 4500
001			978-0-85729-766-2
003			DE-He213
005			20140220083228.0
007			cr nn 008mamaa
008			111003s2012 xxk| s |||| 0|eng d
020			_a9780857297662 _9978-0-85729-766-2
024	7		_a10.1007/978-0-85729-766-2 _2doi
050		4	_aTA177.4-185
072		7	_aTBC _2bicssc
072		7	_aKJMV _2bicssc
072		7	_aTEC000000 _2bisacsh
082	0	4	_a658.5 _223
100	1		_aChristou, Ioannis T. _eauthor.
245	1	0	_aQuantitative Methods in Supply Chain Management _h[electronic resource] : _bModels and Algorithms / _cby Ioannis T. Christou.
264		1	_aLondon : _bSpringer London, _c2012.
300			_aXIV, 398 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_a1. A Review of Optimization Methods -- 2. Forecasting -- 3. Planning and Scheduling -- 4. Inventory Control -- 5. Location Theory and Distribution Management -- 6. Epilogue.
520			_aQuantitative Methods in Supply Chain Management presents some of the most important methods and tools available for modeling and solving problems arising in the context of supply chain management. In the context of this book, “solving problems” usually means designing efficient algorithms for obtaining high-quality solutions. The first chapter is an extensive optimization review covering continuous unconstrained and constrained linear and nonlinear optimization algorithms, as well as dynamic programming and discrete optimization exact methods and heuristics. The second chapter presents time-series forecasting methods together with prediction market techniques for demand forecasting of new products and services. The third chapter details models and algorithms for planning and scheduling with an emphasis on production planning and personnel scheduling. The fourth chapter presents deterministic and stochastic models for inventory control with a detailed analysis on periodic review systems and algorithmic development for optimal control of such systems. The fifth chapter discusses models and algorithms for location/allocation problems arising in supply chain management, and transportation problems arising in distribution management in particular, such as the vehicle routing problem and others. The sixth and final chapter presents a short list of new trends in supply chain management with a discussion of the related challenges that each new trend might bring along in the immediate to near future. Overall, Quantitative Methods in Supply Chain Management may be of particular interest to students and researchers in the fields of supply chain management, operations management, operations research, industrial engineering, and computer science.
650		0	_aEngineering.
650		0	_aAlgorithms.
650		0	_aEngineering economy.
650		0	_aSystem safety.
650	1	4	_aEngineering.
650	2	4	_aEngineering Economics, Organization, Logistics, Marketing.
650	2	4	_aProduction/Logistics/Supply Chain Management.
650	2	4	_aAlgorithms.
650	2	4	_aQuality Control, Reliability, Safety and Risk.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780857297655
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-85729-766-2
912			_aZDB-2-ENG
999			_c100275 _d100275