A stochastic model for the multi-site aggregate production planning problems

Stephen C.H. Leung; Yue Wu; K. K. Lai

A stochastic model for the multi-site aggregate production planning problems

Stephen C.H. Leung, Yue Wu, K. K. Lai

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	IASTED International Conference on Modelling Identification and Control
Pages	432-437
Publication status	Published - 2003
Event	22nd International Conference on Modelling Identification and Control - Innsbruck, Austria Duration: 10 Feb 2003 → 13 Feb 2003

Conference

Conference	22nd International Conference on Modelling Identification and Control
Place	Austria
City	Innsbruck
Period	10/02/03 → 13/02/03

Research Keywords

Logistics
Production planning
Stochastic programming

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title = "A stochastic model for the multi-site aggregate production planning problems",

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.",

keywords = "Logistics, Production planning, Stochastic programming",

author = "Leung, {Stephen C.H.} and Yue Wu and Lai, {K. K.}",

year = "2003",

language = "English",

isbn = "889863393",

pages = "432--437",

booktitle = "IASTED International Conference on Modelling Identification and Control",

note = "22nd International Conference on Modelling Identification and Control ; Conference date: 10-02-2003 Through 13-02-2003",

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T1 - A stochastic model for the multi-site aggregate production planning problems

AU - Leung, Stephen C.H.

AU - Wu, Yue

AU - Lai, K. K.

PY - 2003

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N2 - 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.

AB - 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.

KW - Logistics

KW - Production planning

KW - Stochastic programming

UR - http://www.scopus.com/inward/record.url?scp=1542318211&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-1542318211&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 889863393

SP - 432

EP - 437

BT - IASTED International Conference on Modelling Identification and Control

T2 - 22nd International Conference on Modelling Identification and Control

Y2 - 10 February 2003 through 13 February 2003

ER -

A stochastic model for the multi-site aggregate production planning problems

Abstract

Conference

Research Keywords

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