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A two-stage recourse model for production planning with stochastic demand

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
0302-9743
250-260
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.
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, 250-260.

Record type: Article

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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More information

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: 13 Mar 2019 20:32

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Contributors

Author: K.K. Lai
Author: S. Leung
Author: Y. Wu

University divisions

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