| dc.contributor.author |
Zipkin, Paul
|
en_US |
| dc.date.accessioned |
2011-06-21T17:31:02Z |
|
| dc.date.available |
2011-06-21T17:31:02Z |
|
| dc.date.issued |
2010 |
en_US |
| dc.identifier.citation |
Iida,Tetsuo;Zipkin,Paul. 2010. Competition and Cooperation in a Two-Stage Supply Chain with Demand Forecasts. Operations research 58(5): 1350-1363. |
en_US |
| dc.identifier.issn |
0030-364X |
en_US |
| dc.identifier.uri |
http://hdl.handle.net/10161/4436
|
|
| dc.description.abstract |
We consider a serial supply chain with one supplier and one retailer. Each obtains some demand forecast information, which may be shared or not. We investigate the members' benefits from sharing information. The forecasts follow a variant of the Martingale model of forecast evolution (MMFE). We construct a simple transfer-payment scheme to align the players' incentives with that of the overall system. The main finding is that, unless the players' incentives are aligned in this way, sharing information makes little sense. It might hurt one or the other player and the system as a whole. |
en_US |
| dc.language.iso |
en_US |
en_US |
| dc.publisher |
INFORMS |
en_US |
| dc.relation.isversionof |
doi:10.1287/opre.1100.0809
|
en_US |
| dc.subject |
approximate solutions |
en_US |
| dc.subject |
inventory policies |
en_US |
| dc.subject |
assembly system |
en_US |
| dc.subject |
information |
en_US |
| dc.subject |
evolution |
en_US |
| dc.subject |
benefits |
en_US |
| dc.subject |
bounds |
en_US |
| dc.subject |
model |
en_US |
| dc.subject |
management |
en_US |
| dc.subject |
operations research & management science |
en_US |
| dc.title |
Competition and Cooperation in a Two-Stage Supply Chain with Demand Forecasts |
en_US |
| dc.title.alternative |
|
en_US |
| dc.description.version |
Version of Record |
en_US |
| duke.date.pubdate |
2010-10-sep |
en_US |
| duke.description.endpage |
1363 |
en_US |
| duke.description.issue |
5 |
en_US |
| duke.description.startpage |
1350 |
en_US |
| duke.description.volume |
58 |
en_US |
| dc.relation.journal |
Operations research |
en_US |