A two-stage recourse model for production planning with stochastic demand
A two-stage recourse model for production planning with stochastic demand
Production planning problems play a vital role in the supply chain management. The methodology of production planning problem can provide the quantity of production and the workforce level at each production plant to fulfil market demand. This paper develops a stochastic programming model with additional constraints. A set of data from a multinational lingerie company in Hong Kong is used to demonstrate the robustness and effectiveness of the proposed model.
robustness, constraint satisfaction, stochastic programming, probabilistic approach, modeling, markets, plant production, logistics, production planning
250-260
Lai, K.K.
20379c9f-ac5f-4549-ab91-77722180b971
Leung, S.
1631bd08-c1d3-4c99-8fc1-b9d79db850d6
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
2005
Lai, K.K.
20379c9f-ac5f-4549-ab91-77722180b971
Leung, S.
1631bd08-c1d3-4c99-8fc1-b9d79db850d6
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Lai, K.K., Leung, S. and Wu, Y.
(2005)
A two-stage recourse model for production planning with stochastic demand.
Lecture Notes in Computer Science, 3483, .
Abstract
Production planning problems play a vital role in the supply chain management. The methodology of production planning problem can provide the quantity of production and the workforce level at each production plant to fulfil market demand. This paper develops a stochastic programming model with additional constraints. A set of data from a multinational lingerie company in Hong Kong is used to demonstrate the robustness and effectiveness of the proposed model.
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Published date: 2005
Keywords:
robustness, constraint satisfaction, stochastic programming, probabilistic approach, modeling, markets, plant production, logistics, production planning
Identifiers
Local EPrints ID: 58633
URI: http://eprints.soton.ac.uk/id/eprint/58633
ISSN: 0302-9743
PURE UUID: fcf44006-66d7-4e28-ba75-8134013ff917
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Date deposited: 15 Aug 2008
Last modified: 03 Dec 2023 02:39
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Author:
K.K. Lai
Author:
S. Leung
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