000 03321nam a22005175i 4500
001 978-1-4419-9347-2
003 DE-He213
005 20140220083234.0
007 cr nn 008mamaa
008 120216s2012 xxu| s |||| 0|eng d
020 _a9781441993472
_9978-1-4419-9347-2
024 7 _a10.1007/978-1-4419-9347-2
_2doi
050 4 _aQA402-402.37
050 4 _aT57.6-57.97
072 7 _aKJT
_2bicssc
072 7 _aKJM
_2bicssc
072 7 _aBUS049000
_2bisacsh
072 7 _aBUS042000
_2bisacsh
082 0 4 _a519.6
_223
100 1 _aGeunes, Joseph.
_eauthor.
245 1 0 _aDemand Flexibility in Supply Chain Planning
_h[electronic resource] /
_cby Joseph Geunes.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2012.
300 _aXIII, 90p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Optimization,
_x2190-8354
505 0 _a1. Scope of Problem Coverage and Introduction -- 2. Production and Inventory Planning Models with Demand Shaping -- 3. EOQ-Type Models with Demand Selection -- 4. Single-Period Stochastic Inventory Planning with Demand Selection -- 5. Dynamic Lot Sizing with Demand Selection and the Pricing Analog -- 6. Dynamic Lot Sizing with Market Selection -- 7. Assignment and Location Problems in Supply Chains -- 8. Branch and Price Decomposition for Assignment and Location Problems -- 9. Research Challenges in Supply Chain Planning with Flexible Demand.
520 _aThis work encapsulates the essential developments in this field into a single resource, as well as to set an agenda for further development in the field. This brief focuses on the demand flexibility in supply chains with fragmented results distributed throughout the literature. These results have strong implications for managing real-world complex operations planning problems. This book exploits dimensions of demand flexibility in supply chains and characterizes the best fit between demand properties and operations capabilities and constraints. The origins and seminal works are traced in integrated demand and operations planning and an in-depth documentation is provided for the current state of the art. Systems with inherent costs and constraints that must respond to some set of demands at a minimum cost are examined.  Crucial unanswered questions are explored and the high-value research directions  are highlighted for both practice and for the development of new and interesting optimization models and algorithms.  
650 0 _aMathematics.
650 0 _aMathematical optimization.
650 0 _aEngineering economy.
650 1 4 _aMathematics.
650 2 4 _aOperations Research, Management Science.
650 2 4 _aEngineering Economics, Organization, Logistics, Marketing.
650 2 4 _aOptimization.
650 2 4 _aProduction/Logistics/Supply Chain Management.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441993465
830 0 _aSpringerBriefs in Optimization,
_x2190-8354
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-9347-2
912 _aZDB-2-SMA
999 _c100573
_d100573