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A robust optimization model for production planning of perishable products

A robust optimization model for production planning of perishable products
A robust optimization model for production planning of perishable products
In this study, a robust optimization model is developed to solve production planning problems for perishable products in an uncertain environment in which the setup costs, production costs, labour costs, inventory costs, and workforce changing costs are minimized. Using the concept of postponement, the production process for perishable products is differentiated into two phases to better utilize the resources. By adjusting penalty parameters, decision-makers can determine an optimal production loading plan and better utilize resources while considering different economic growth scenarios. A case from a Hong Kong plush toy company is studied and the characteristics of perishable products are discussed. Numerical results demonstrate the robustness and effectiveness of the proposed model. An analysis of the trade-off between solution robustness and model robustness is also presented
0160-5682
413-422
Leung, S.C.H.
f2cd1867-873c-4d15-aa07-0063a77e6b24
Lai, K.K.
20379c9f-ac5f-4549-ab91-77722180b971
Ng, W.L.
ea7850e7-1fee-4651-8b1d-ebd21d47ec2e
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Leung, S.C.H.
f2cd1867-873c-4d15-aa07-0063a77e6b24
Lai, K.K.
20379c9f-ac5f-4549-ab91-77722180b971
Ng, W.L.
ea7850e7-1fee-4651-8b1d-ebd21d47ec2e
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c

Leung, S.C.H., Lai, K.K., Ng, W.L. and Wu, Y. (2007) A robust optimization model for production planning of perishable products. Journal of the Operational Research Society, 58 (4), 413-422. (doi:10.1057/palgrave.jors.2602159).

Record type: Article

Abstract

In this study, a robust optimization model is developed to solve production planning problems for perishable products in an uncertain environment in which the setup costs, production costs, labour costs, inventory costs, and workforce changing costs are minimized. Using the concept of postponement, the production process for perishable products is differentiated into two phases to better utilize the resources. By adjusting penalty parameters, decision-makers can determine an optimal production loading plan and better utilize resources while considering different economic growth scenarios. A case from a Hong Kong plush toy company is studied and the characteristics of perishable products are discussed. Numerical results demonstrate the robustness and effectiveness of the proposed model. An analysis of the trade-off between solution robustness and model robustness is also presented

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Published date: 2007

Identifiers

Local EPrints ID: 45612
URI: http://eprints.soton.ac.uk/id/eprint/45612
ISSN: 0160-5682
PURE UUID: 1eaee86d-bbd4-4db3-98f6-57f620e0f872

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Date deposited: 18 Apr 2007
Last modified: 16 Mar 2024 03:39

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Contributors

Author: S.C.H. Leung
Author: K.K. Lai
Author: W.L. Ng
Author: Y. Wu ORCID iD

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