|
|
|
|
| LEADER |
03192nam a22005055i 4500 |
| 001 |
10843 |
| 003 |
DE-He213 |
| 005 |
20130725201528.0 |
| 007 |
cr nn 008mamaa |
| 008 |
100825s2010 gw | s |||| 0|eng d |
| 020 |
# |
# |
|a 9783642137259
|9 978-3-642-13725-9
|
| 024 |
7 |
# |
|a 10.1007/978-3-642-13725-9
|2 doi
|
| 050 |
# |
4 |
|a HB144
|
| 072 |
# |
7 |
|a PBUD
|2 bicssc
|
| 072 |
# |
7 |
|a KCH
|2 bicssc
|
| 072 |
# |
7 |
|a BUS069000
|2 bisacsh
|
| 072 |
# |
7 |
|a MAT011000
|2 bisacsh
|
| 082 |
0 |
4 |
|a 330.0151
|2 23
|
| 082 |
0 |
4 |
|a 330
|2 23
|
| 100 |
1 |
# |
|a Drechsel, Julia.
|e author.
|
| 245 |
1 |
0 |
|a Cooperative Lot Sizing Games in Supply Chains
|c by Julia Drechsel.
|h [electronic resource] /
|
| 264 |
# |
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2010.
|
| 300 |
# |
# |
|a XIV, 167p. 20 illus., 10 illus. in color.
|b online resource.
|
| 336 |
# |
# |
|a text
|b txt
|2 rdacontent
|
| 337 |
# |
# |
|a computer
|b c
|2 rdamedia
|
| 338 |
# |
# |
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
# |
# |
|a text file
|b PDF
|2 rda
|
| 490 |
1 |
# |
|a Lecture Notes in Economics and Mathematical Systems,
|v 644
|x 0075-8442 ;
|
| 505 |
0 |
# |
|a Introduction -- Selected Topics in Cooperative Game Theory -- Algorithmic Game Theory -- Cooperation in Supply Chains -- An Economic Lot Sizing Game -- A Lot Sizing 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 -- Conclusion and Future Outlook -- Appendix: Computational Study MLCLSP Game.
|
| 520 |
# |
# |
|a The 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 |
|a Economics.
|
| 650 |
# |
0 |
|a Economics, Mathematical.
|
| 650 |
# |
0 |
|a Operations research.
|
| 650 |
1 |
4 |
|a Economics/Management Science.
|
| 650 |
2 |
4 |
|a Game Theory/Mathematical Methods.
|
| 650 |
2 |
4 |
|a Operation Research/Decision Theory.
|
| 650 |
2 |
4 |
|a Production/Logistics/Supply Chain Management.
|
| 710 |
2 |
# |
|a SpringerLink (Online service)
|
| 773 |
0 |
# |
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783642137242
|
| 830 |
# |
0 |
|a Lecture Notes in Economics and Mathematical Systems,
|v 644
|x 0075-8442 ;
|
| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-13725-9
|
| 912 |
# |
# |
|a ZDB-2-SBE
|
| 950 |
# |
# |
|a Business and Economics (Springer-11643)
|