Please use this identifier to cite or link to this item:
http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/11539
Full metadata record
DC Field | Value | Language |
---|---|---|
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 |
Appears in Collections: | Department of Mechanical engineering |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.