Implementing a vendor managed inventory policy in a two-stage supply chain with stochastic demands

In a two-stage supply chain, implementing Vendor Managed Inventory policies (VMI), the supplier assumes, in addition to his own inbound inventory, the responsibility of maintaining inventory at its retailers and ensuring that they will not run out of stock at any moment.This paper discusses an optim...

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Main Authors: El-Houssaine, Aghezzaf, Abdul Rahim, Mohd Kamarul Irwan
Format: Conference or Workshop Item
Published: 2012
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Online Access:http://repo.uum.edu.my/17441/
http://doi.org/10.3182/20120523-3-RO-2023.00215
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spelling my.uum.repo.174412016-03-08T07:45:00Z http://repo.uum.edu.my/17441/ Implementing a vendor managed inventory policy in a two-stage supply chain with stochastic demands El-Houssaine, Aghezzaf Abdul Rahim, Mohd Kamarul Irwan TS Manufactures In a two-stage supply chain, implementing Vendor Managed Inventory policies (VMI), the supplier assumes, in addition to his own inbound inventory, the responsibility of maintaining inventory at its retailers and ensuring that they will not run out of stock at any moment.This paper discusses an optimization approach, considering the impact of demand uncertainty on the inbound as well as the outbound inventory, for a two-stage supply chain implementing VMI. In the proposed approach, retailers are first clustered to minimize the within-cluster travel costs and/or distances and are then replenished using an optimal direct shipping strategy satisfying some additional restrictions. 2012 Conference or Workshop Item PeerReviewed El-Houssaine, Aghezzaf and Abdul Rahim, Mohd Kamarul Irwan (2012) Implementing a vendor managed inventory policy in a two-stage supply chain with stochastic demands. In: 14th IFAC Symposium on Information Control Problems in Manufacturing, 23-25 May 2012, Hilton Conference Centre of Bucharest, Romania. http://doi.org/10.3182/20120523-3-RO-2023.00215 doi:10.3182/20120523-3-RO-2023.00215
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
topic TS Manufactures
spellingShingle TS Manufactures
El-Houssaine, Aghezzaf
Abdul Rahim, Mohd Kamarul Irwan
Implementing a vendor managed inventory policy in a two-stage supply chain with stochastic demands
description In a two-stage supply chain, implementing Vendor Managed Inventory policies (VMI), the supplier assumes, in addition to his own inbound inventory, the responsibility of maintaining inventory at its retailers and ensuring that they will not run out of stock at any moment.This paper discusses an optimization approach, considering the impact of demand uncertainty on the inbound as well as the outbound inventory, for a two-stage supply chain implementing VMI. In the proposed approach, retailers are first clustered to minimize the within-cluster travel costs and/or distances and are then replenished using an optimal direct shipping strategy satisfying some additional restrictions.
format Conference or Workshop Item
author El-Houssaine, Aghezzaf
Abdul Rahim, Mohd Kamarul Irwan
author_facet El-Houssaine, Aghezzaf
Abdul Rahim, Mohd Kamarul Irwan
author_sort El-Houssaine, Aghezzaf
title Implementing a vendor managed inventory policy in a two-stage supply chain with stochastic demands
title_short Implementing a vendor managed inventory policy in a two-stage supply chain with stochastic demands
title_full Implementing a vendor managed inventory policy in a two-stage supply chain with stochastic demands
title_fullStr Implementing a vendor managed inventory policy in a two-stage supply chain with stochastic demands
title_full_unstemmed Implementing a vendor managed inventory policy in a two-stage supply chain with stochastic demands
title_sort implementing a vendor managed inventory policy in a two-stage supply chain with stochastic demands
publishDate 2012
url http://repo.uum.edu.my/17441/
http://doi.org/10.3182/20120523-3-RO-2023.00215
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score 13.149126