000 03119nam a22005055i 4500
001 978-3-642-13725-9
003 DE-He213
005 20140220084539.0
007 cr nn 008mamaa
008 100825s2010 gw | s |||| 0|eng d
020 _a9783642137259
_9978-3-642-13725-9
024 7 _a10.1007/978-3-642-13725-9
_2doi
050 4 _aHB144
072 7 _aPBUD
_2bicssc
072 7 _aKCH
_2bicssc
072 7 _aBUS069000
_2bisacsh
072 7 _aMAT011000
_2bisacsh
082 0 4 _a330.0151
_223
082 0 4 _a330
_223
100 1 _aDrechsel, Julia.
_eauthor.
245 1 0 _aCooperative Lot Sizing Games in Supply Chains
_h[electronic resource] /
_cby Julia Drechsel.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _aXIV, 167p. 20 illus., 10 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Economics and Mathematical Systems,
_x0075-8442 ;
_v644
505 0 _aSelected Topics in Cooperative Game Theory -- Algorithmic Game Theory -- Cooperation in Supply Chains -- An Economic Lot Sizing Game -- A Lot Sizing Game with Uncertain Demand -- A Capacitated Lot Sizing Game with Transshipments, Scarce Capacities, and Player-Dependent Cost Coefficients -- A Multilevel Lot Sizing Game with Restricted Cooperation -- Conclusions and Future Research.
520 _aThe presented work combines two areas of research: cooperative game theory and lot size optimization. One of the most essential problems in cooperations is to allocate cooperative profits or costs among the partners. The core is a well known method from cooperative game theory that describes efficient and stable profit/cost allocations. A general algorithm based on the idea of constraint generation to compute core elements for cooperative optimization problems is provided. Beside its application for the classical core, an extensive discussion of core variants is presented and how they can be handled with the proposed algorithm. The second part of the thesis contains several cooperative lot sizing problems of different complexity that are analyzed regarding theoretical properties like monotonicity or concavity and solved with the proposed row generation algorithm to compute core elements; i.e. determining stable and fair cost allocations.
650 0 _aEconomics.
650 0 _aEconomics, Mathematical.
650 0 _aOperations research.
650 1 4 _aEconomics/Management Science.
650 2 4 _aGame Theory/Mathematical Methods.
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _aProduction/Logistics/Supply Chain Management.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642137242
830 0 _aLecture Notes in Economics and Mathematical Systems,
_x0075-8442 ;
_v644
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-13725-9
912 _aZDB-2-SBE
999 _c112328
_d112328