The University of Southampton
University of Southampton Institutional Repository

A robust optimization model for multi-site propduction planning problem in an uncertain environment

A robust optimization model for multi-site propduction planning problem in an uncertain environment
A robust optimization model for multi-site propduction planning problem in an uncertain environment
This paper addresses the multi-site production planning problem for a multinational lingerie company in Hong Kong subject to production import/export quotas imposed by regulatory requirements of different nations, the use of manufacturing factories/locations with regard to customers’ preferences, as well as production capacity, workforce level, storage space and resource conditions at the factories. In this paper, a robust optimization model is developed to solve multi-site production planning problem with uncertainty data, in which the total costs consisting of production cost, labor cost, inventory cost, and workforce changing cost are minimized. By adjusting penalty parameters, production management can determine an optimal medium-term production strategy including the production loading plan and workforce level while considering different economic growth scenarios. The robustness and effectiveness of the developed model are demonstrated by numerical results. The trade-off between solution robustness and model robustness is also analyzed.
0377-2217
224-238
Leung, S.
1631bd08-c1d3-4c99-8fc1-b9d79db850d6
Tsang, S.O.S.
470da4de-7354-4e0c-9977-e29404460c3b
Lai, K.K.
20379c9f-ac5f-4549-ab91-77722180b971
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Leung, S.
1631bd08-c1d3-4c99-8fc1-b9d79db850d6
Tsang, S.O.S.
470da4de-7354-4e0c-9977-e29404460c3b
Lai, K.K.
20379c9f-ac5f-4549-ab91-77722180b971
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c

Leung, S., Tsang, S.O.S., Lai, K.K. and Wu, Y. (2007) A robust optimization model for multi-site propduction planning problem in an uncertain environment. European Journal of Operational Research, 181 (1), 224-238. (doi:10.1016/j.ejor.2006.06.011).

Record type: Article

Abstract

This paper addresses the multi-site production planning problem for a multinational lingerie company in Hong Kong subject to production import/export quotas imposed by regulatory requirements of different nations, the use of manufacturing factories/locations with regard to customers’ preferences, as well as production capacity, workforce level, storage space and resource conditions at the factories. In this paper, a robust optimization model is developed to solve multi-site production planning problem with uncertainty data, in which the total costs consisting of production cost, labor cost, inventory cost, and workforce changing cost are minimized. By adjusting penalty parameters, production management can determine an optimal medium-term production strategy including the production loading plan and workforce level while considering different economic growth scenarios. The robustness and effectiveness of the developed model are demonstrated by numerical results. The trade-off between solution robustness and model robustness is also analyzed.

This record has no associated files available for download.

More information

Published date: 2007

Identifiers

Local EPrints ID: 55109
URI: http://eprints.soton.ac.uk/id/eprint/55109
ISSN: 0377-2217
PURE UUID: dd6cb65e-78d0-4f9c-ba65-a359195eca55

Catalogue record

Date deposited: 31 Jul 2008
Last modified: 16 Mar 2024 03:39

Export record

Altmetrics

Contributors

Author: S. Leung
Author: S.O.S. Tsang
Author: K.K. Lai
Author: Y. Wu ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×