article

Integrating a shrimp-growth function, farming skills information, and a supply allocation algorithm to manage the shrimp supply chain

Authors:

Supachai Pathumnakul,

Kullapapruk Piewthongngam,

Sakda KhamjanAuthors Info & Claims

Computers and Electronics in Agriculture, Volume 66, Issue 1

Pages 93 - 105

https://doi.org/10.1016/j.compag.2008.12.008

Published: 01 April 2009 Publication History

Abstract

This study examines the coordination problem in the Thai shrimp supply chain. Farming skills and demand seasonality play a crucial role in the chain inventory problem. The proposed purchasing allocation framework consists of a shrimp-growth model, database management and a supply allocation algorithm. The objective of the framework is to minimize overall inventory costs of the chain. Scenario analysis is used to demonstrate the application of the framework. The results show that different efficient plans are appropriate for different scenarios. Hence, establishing a precise plan will potentially reduce inventory cost. The supply allocation decision without a systematic plan would raise inventory cost and would lead to the production of excess shrimp of undesirable sizes. A strong coordination among all members in the chain will benefit all parties and better serve the customers.

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Cited By

Mosallanezhad BHajiaghaei-Keshteli MTriki C(2021)Shrimp closed-loop supply chain network designSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-021-05698-125:11(7399-7422)Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1007/s00500-021-05698-1
Wongsriworaphon AArnonkijpanich BPathumnakul S(2018)An approach based on digital image analysis to estimate the live weights of pigs in farm environmentsComputers and Electronics in Agriculture10.1016/j.compag.2015.05.004115:C(26-33)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1016/j.compag.2015.05.004
Zhu YZhang JHuang DGeng N(2017)The optimization of crop seeds packaging production planning based on dynamic lot-sizing modelComputers and Electronics in Agriculture10.1016/j.compag.2017.02.023136:C(79-85)Online publication date: 15-Apr-2017
https://dl.acm.org/doi/10.1016/j.compag.2017.02.023
Show More Cited By

Index Terms

Integrating a shrimp-growth function, farming skills information, and a supply allocation algorithm to manage the shrimp supply chain
1. Applied computing
2. Computing methodologies
  1. Artificial intelligence
    1. Search methodologies
      1. Heuristic function construction

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Published In

cover image Computers and Electronics in Agriculture

Computers and Electronics in Agriculture Volume 66, Issue 1

April, 2009

113 pages

ISSN:0168-1699

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Copyright © Elsevier B.V. © 2009.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 April 2009

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Cited By

Mosallanezhad BHajiaghaei-Keshteli MTriki C(2021)Shrimp closed-loop supply chain network designSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-021-05698-125:11(7399-7422)Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1007/s00500-021-05698-1
Wongsriworaphon AArnonkijpanich BPathumnakul S(2018)An approach based on digital image analysis to estimate the live weights of pigs in farm environmentsComputers and Electronics in Agriculture10.1016/j.compag.2015.05.004115:C(26-33)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1016/j.compag.2015.05.004
Zhu YZhang JHuang DGeng N(2017)The optimization of crop seeds packaging production planning based on dynamic lot-sizing modelComputers and Electronics in Agriculture10.1016/j.compag.2017.02.023136:C(79-85)Online publication date: 15-Apr-2017
https://dl.acm.org/doi/10.1016/j.compag.2017.02.023
Yan BShi SYe BZhou XShi P(2015)Sustainable development of the fresh agricultural products supply chain through the application of RFID technologyInformation Technology and Management10.1007/s10799-014-0196-y16:1(67-78)Online publication date: 1-Mar-2015
https://dl.acm.org/doi/10.1007/s10799-014-0196-y

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