A stochastic model for multi-site aggregate production planning problems
A stochastic model for multi-site aggregate production planning problems
This paper addresses the problem of aggregate production planning (APP) for a multinational lingerie company in Hong Kong. The multi-site production planning problem considers the production loading plans among manufacturing factories subject to certain restrictions, such as 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 of the factories. In this study, a stochastic model is developed to solve the production planning problems under uncertain environment. Numerical results demonstrate the robustness and effectiveness of the developed model.
0889863431
562-568
Leung, S.
1631bd08-c1d3-4c99-8fc1-b9d79db850d6
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Lai, K.K.
20379c9f-ac5f-4549-ab91-77722180b971
2003
Leung, S.
1631bd08-c1d3-4c99-8fc1-b9d79db850d6
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Lai, K.K.
20379c9f-ac5f-4549-ab91-77722180b971
Leung, S., Wu, Y. and Lai, K.K.
(2003)
A stochastic model for multi-site aggregate production planning problems.
Hamza, M.H.
(ed.)
In Proceedings of the 22nd International Association of Science and Technology for Devlopment (IASTED) International Conference on Modelling, Identification and Control.
ACTA Press.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper addresses the problem of aggregate production planning (APP) for a multinational lingerie company in Hong Kong. The multi-site production planning problem considers the production loading plans among manufacturing factories subject to certain restrictions, such as 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 of the factories. In this study, a stochastic model is developed to solve the production planning problems under uncertain environment. Numerical results demonstrate the robustness and effectiveness of the developed model.
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Published date: 2003
Venue - Dates:
22nd International Association of Science and Technology for Devlopment (IASTED) International Conference on Modelling, Identification and Control, Innsbruck, Austria, 2003-02-10 - 2003-02-13
Identifiers
Local EPrints ID: 36334
URI: http://eprints.soton.ac.uk/id/eprint/36334
ISBN: 0889863431
PURE UUID: 6a762a79-f04f-48e9-a2dc-ceb9a1a891b5
Catalogue record
Date deposited: 30 May 2006
Last modified: 09 Dec 2023 02:39
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Contributors
Author:
S. Leung
Author:
K.K. Lai
Editor:
M.H. Hamza
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