| dc.contributor.author |
Routroy, Srikanta |
|
| dc.date.accessioned |
2023-08-21T06:45:03Z |
|
| dc.date.available |
2023-08-21T06:45:03Z |
|
| dc.date.issued |
2007-03 |
|
| dc.identifier.uri |
https://www.inderscienceonline.com/doi/abs/10.1504/IJOR.2007.012853 |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11539 |
|
| dc.description.abstract |
Inventory planning is the significant operational issue in supply chain management. In this paper, a mathematical model is developed for multi-echelon supply chain inventory planning to determine ordering/production quantity and reorder point while minimising the Total Supply Chain Cost (TSCC) (i.e., supply chain inventory capital, supply chain ordering/set-up cost and supply chain inventory stock out cost). Differential Evolution algorithm is used for multi-echelon supply chain inventory planning. One case situation is elucidated in order to reinforce the salient features of the concept. A sensitivity analysis is also carried out to show the effect of input parameters on the TSCC. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Inder Science |
en_US |
| dc.subject |
Mechanical Engineering |
en_US |
| dc.subject |
Supply chains |
en_US |
| dc.subject |
Inventory planning |
en_US |
| dc.subject |
Differential evolution algorithms |
en_US |
| dc.subject |
Multi-echelon inventory modeling |
en_US |
| dc.subject |
Operational research |
en_US |
| dc.title |
Inventory planning for a multi-echelon supply chain |
en_US |
| dc.type |
Article |
en_US |