Inventory systems analysis of perishable products to improve performance

Perishable goods require adequate planning as the lifetime of the goods pose a limit on the lead time and are likely to decay over a period of time. This results in lost sales and will reduce the profit margin for companies supplying them. Therefore, good inventory management is required to measure...

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Main Author: Tay, Yu Ying
Other Authors: Appa Iyer Sivakumar
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/69435
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-694352023-03-04T18:24:36Z Inventory systems analysis of perishable products to improve performance Tay, Yu Ying Appa Iyer Sivakumar School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering Perishable goods require adequate planning as the lifetime of the goods pose a limit on the lead time and are likely to decay over a period of time. This results in lost sales and will reduce the profit margin for companies supplying them. Therefore, good inventory management is required to measure the optimal ordering quantity and minimum cost associated with it. Inventory management is vital in handling physical stocks, and in the case of perishable goods, need to ensure that the goods supplied are still within its lifetime, to keep up with the service level they provide. This report examines the performance of inventory models for perishable goods, in particular, Newsvendor, Base stock and (Q, r) models. Based on the demands of a case study, the performance measures of the inventory models will include the optimal order quantity and costs involved. It is important to measure the costs involved, as the aim of companies carrying goods to sell is to gain profit. However, without investment, they are not able to acquire goods. Therefore, it is important to know how much is to be invested to know the amount they will stand to gain. Through the measurement with regards to different quantities and service levels, knowledge will be gained to implement a suitable inventory model for the goods. Bachelor of Engineering (Mechanical Engineering) 2017-01-03T04:06:27Z 2017-01-03T04:06:27Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/69435 en Nanyang Technological University 61 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Tay, Yu Ying
Inventory systems analysis of perishable products to improve performance
description Perishable goods require adequate planning as the lifetime of the goods pose a limit on the lead time and are likely to decay over a period of time. This results in lost sales and will reduce the profit margin for companies supplying them. Therefore, good inventory management is required to measure the optimal ordering quantity and minimum cost associated with it. Inventory management is vital in handling physical stocks, and in the case of perishable goods, need to ensure that the goods supplied are still within its lifetime, to keep up with the service level they provide. This report examines the performance of inventory models for perishable goods, in particular, Newsvendor, Base stock and (Q, r) models. Based on the demands of a case study, the performance measures of the inventory models will include the optimal order quantity and costs involved. It is important to measure the costs involved, as the aim of companies carrying goods to sell is to gain profit. However, without investment, they are not able to acquire goods. Therefore, it is important to know how much is to be invested to know the amount they will stand to gain. Through the measurement with regards to different quantities and service levels, knowledge will be gained to implement a suitable inventory model for the goods.
author2 Appa Iyer Sivakumar
author_facet Appa Iyer Sivakumar
Tay, Yu Ying
format Final Year Project
author Tay, Yu Ying
author_sort Tay, Yu Ying
title Inventory systems analysis of perishable products to improve performance
title_short Inventory systems analysis of perishable products to improve performance
title_full Inventory systems analysis of perishable products to improve performance
title_fullStr Inventory systems analysis of perishable products to improve performance
title_full_unstemmed Inventory systems analysis of perishable products to improve performance
title_sort inventory systems analysis of perishable products to improve performance
publishDate 2017
url http://hdl.handle.net/10356/69435
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