| dc.contributor.author |
Routroy, Srikanta |
|
| dc.date.accessioned |
2023-08-21T10:32:10Z |
|
| dc.date.available |
2023-08-21T10:32:10Z |
|
| dc.date.issued |
2009-05 |
|
| dc.identifier.uri |
https://www.inderscienceonline.com/doi/abs/10.1504/IJOR.2009.025195 |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11552 |
|
| dc.description.abstract |
The paper discusses a generic model for Multi-echelon Supply Chain Inventory Planning (MSCIP) with demand and leadtime uncertanity considering the Total Supply Chain (TSC) cost, which consists of Supply Chain Inventory Capital (SCIC), Supply Chain Ordering/set-up Cost (SCOC) and Supply Chain Stock-out Cost (SCSC) for a Maximum Allowable Supply Chain Inventory (MASCI). The Differential Evolution (DE/best/1/bin) strategy is used to solve MSCIP problem to determine ordering/production quantity and service level that should be maintained by each member of the supply chain. One case situation is elucidated to reinforce the salient features of the concept. A sensitivity analysis is carried out to know how the TSC is varying along MASCI in different environments. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Inder Science |
en_US |
| dc.subject |
Mechanical Engineering |
en_US |
| dc.subject |
Differential evolution strategy |
en_US |
| dc.subject |
Supply chain inventory planning |
en_US |
| dc.subject |
Supply Chain Management |
en_US |
| dc.title |
Multi-echelon Supply Chain Inventory Planning with demand and leadtime uncertainty |
en_US |
| dc.type |
Article |
en_US |