Optimizing strategies in vendor-managed inventory scenarios
The mathematical models of Pre VMI and VMI scenarios are developed and analysed. These models are developed to quantify the total cost of maintaining the inventory. Besides, the models are enhanced by considering the probabilistic demand, the service as well as the bullwhip effect.
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sg-ntu-dr.10356-57012023-03-11T17:11:17Z Optimizing strategies in vendor-managed inventory scenarios Felisia Miranti Sunarjo Piplani, Rajesh School of Mechanical and Production Engineering DRNTU::Engineering::Manufacturing::Inventory control The mathematical models of Pre VMI and VMI scenarios are developed and analysed. These models are developed to quantify the total cost of maintaining the inventory. Besides, the models are enhanced by considering the probabilistic demand, the service as well as the bullwhip effect. Master of Engineering (MPE) 2008-09-17T10:57:04Z 2008-09-17T10:57:04Z 2002 2002 Thesis http://hdl.handle.net/10356/5701 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Manufacturing::Inventory control Felisia Miranti Sunarjo Optimizing strategies in vendor-managed inventory scenarios |
description |
The mathematical models of Pre VMI and VMI scenarios are developed and analysed. These models are developed to quantify the total cost of maintaining the inventory. Besides, the models are enhanced by considering the probabilistic demand, the service as well as the bullwhip effect. |
author2 |
Piplani, Rajesh |
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Piplani, Rajesh Felisia Miranti Sunarjo |
format |
Theses and Dissertations |
author |
Felisia Miranti Sunarjo |
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Felisia Miranti Sunarjo |
title |
Optimizing strategies in vendor-managed inventory scenarios |
title_short |
Optimizing strategies in vendor-managed inventory scenarios |
title_full |
Optimizing strategies in vendor-managed inventory scenarios |
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Optimizing strategies in vendor-managed inventory scenarios |
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Optimizing strategies in vendor-managed inventory scenarios |
title_sort |
optimizing strategies in vendor-managed inventory scenarios |
publishDate |
2008 |
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http://hdl.handle.net/10356/5701 |
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1761782016034996224 |