Quality loss assessment and an optimization approach for scheduling fresh fruit exporting operations

Quality loss assessment and an optimization approach for scheduling fresh fruit exporting operations

Mechanical damage to fresh fruits and vegetable during transportation is significant in logistics cost for export companies. Many global companies have tried to control the product quality throughout the food supply chain. However, the cost of quality loss due to the mechanical injuries during trans...

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Main Authors: Damrongpol K., Gilles N., Aicha S., Pradorn S.
Format: Conference Proceeding
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84986005415&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/42605
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Institution: Chiang Mai University
id th-cmuir.6653943832-42605
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spelling th-cmuir.6653943832-426052017-09-28T04:27:59Z Quality loss assessment and an optimization approach for scheduling fresh fruit exporting operations Damrongpol K. Gilles N. Aicha S. Pradorn S. Mechanical damage to fresh fruits and vegetable during transportation is significant in logistics cost for export companies. Many global companies have tried to control the product quality throughout the food supply chain. However, the cost of quality loss due to the mechanical injuries during transportation is difficult to identify accurately and incorporate into logistics cost model. In this paper, we propose the methodology to formulate the mathematical model to maximize revenue that considered not only common logistic cost but also the physical injuries cost due to shock and vibration during transportation. The resulting model can be applied in an illustrative case study for the other FFV, and can be used to design and operate food distribution system both in term of export plan and marketing plan in each day during fruit season period. 2017-09-28T04:27:59Z 2017-09-28T04:27:59Z 2016-01-01 Conference Proceeding 2-s2.0-84986005415 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84986005415&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/42605
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description Mechanical damage to fresh fruits and vegetable during transportation is significant in logistics cost for export companies. Many global companies have tried to control the product quality throughout the food supply chain. However, the cost of quality loss due to the mechanical injuries during transportation is difficult to identify accurately and incorporate into logistics cost model. In this paper, we propose the methodology to formulate the mathematical model to maximize revenue that considered not only common logistic cost but also the physical injuries cost due to shock and vibration during transportation. The resulting model can be applied in an illustrative case study for the other FFV, and can be used to design and operate food distribution system both in term of export plan and marketing plan in each day during fruit season period.
format Conference Proceeding
author Damrongpol K.
Gilles N.
Aicha S.
Pradorn S.
spellingShingle Damrongpol K.
Gilles N.
Aicha S.
Pradorn S.
Quality loss assessment and an optimization approach for scheduling fresh fruit exporting operations
author_facet Damrongpol K.
Gilles N.
Aicha S.
Pradorn S.
author_sort Damrongpol K.
title Quality loss assessment and an optimization approach for scheduling fresh fruit exporting operations
title_short Quality loss assessment and an optimization approach for scheduling fresh fruit exporting operations
title_full Quality loss assessment and an optimization approach for scheduling fresh fruit exporting operations
title_fullStr Quality loss assessment and an optimization approach for scheduling fresh fruit exporting operations
title_full_unstemmed Quality loss assessment and an optimization approach for scheduling fresh fruit exporting operations
title_sort quality loss assessment and an optimization approach for scheduling fresh fruit exporting operations
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84986005415&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/42605
_version_ 1681422221109624832

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