Investigation on inventory network
Recently, the inventory optimization has been a very popular topic in supply chain area. Because it is very important commercial function in the warehouse stock flow. Warehouse overstock will lead to a financial problem Due to poor planning of replenishment, the company capital chain will be affecte...
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sg-ntu-dr.10356-676332023-07-07T15:41:38Z Investigation on inventory network FU, JIAN Fu, Jian Ma Maode School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Recently, the inventory optimization has been a very popular topic in supply chain area. Because it is very important commercial function in the warehouse stock flow. Warehouse overstock will lead to a financial problem Due to poor planning of replenishment, the company capital chain will be affected due to cash can’t flow out and huge warehouse storage fee. On the other hand, a shortage stock will reduce the customer satisfaction rate. The goods delivery time will also be delay or postponed. The reputation of a company will be affect by such delay shipment. How to plan and manage an inventory network and warehouse storage become a critical element for company operation. The objective of this project is to use computer simulation technology to build up a warehouse model to run simulation and optimize the warehouse delay time. There are four sub warehouse and one main warehouse in this warehouse model. The manufacture was located in the main warehouse.in order to understand the relationship between warehouse variables and average total delay. In this project, we will carry out a few of simulation test for each warehouse parameter, such as, request arrival rate, request amount, production line capability and cargo capability. Last but not least, we will obtain the best warehouse storage value setting to get an minimum delay time per customer order. Bachelor of Engineering 2016-05-18T08:45:13Z 2016-05-18T08:45:13Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67633 en Nanyang Technological University 66 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems FU, JIAN Fu, Jian Investigation on inventory network |
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Recently, the inventory optimization has been a very popular topic in supply chain area. Because it is very important commercial function in the warehouse stock flow. Warehouse overstock will lead to a financial problem Due to poor planning of replenishment, the company capital chain will be affected due to cash can’t flow out and huge warehouse storage fee. On the other hand, a shortage stock will reduce the customer satisfaction rate. The goods delivery time will also be delay or postponed. The reputation of a company will be affect by such delay shipment. How to plan and manage an inventory network and warehouse storage become a critical element for company operation.
The objective of this project is to use computer simulation technology to build up a warehouse model to run simulation and optimize the warehouse delay time. There are four sub warehouse and one main warehouse in this warehouse model. The manufacture was located in the main warehouse.in order to understand the relationship between warehouse variables and average total delay. In this project, we will carry out a few of simulation test for each warehouse parameter, such as, request arrival rate, request amount, production line capability and cargo capability. Last but not least, we will obtain the best warehouse storage value setting to get an minimum delay time per customer order. |
author2 |
Ma Maode |
author_facet |
Ma Maode FU, JIAN Fu, Jian |
format |
Final Year Project |
author |
FU, JIAN Fu, Jian |
author_sort |
FU, JIAN |
title |
Investigation on inventory network |
title_short |
Investigation on inventory network |
title_full |
Investigation on inventory network |
title_fullStr |
Investigation on inventory network |
title_full_unstemmed |
Investigation on inventory network |
title_sort |
investigation on inventory network |
publishDate |
2016 |
url |
http://hdl.handle.net/10356/67633 |
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1772828366969241600 |