Journal article
Short-term capacity adjustment with offline production for a flexible manufacturing system under abnormal disturbances
Annals of operations research, Vol.107(1), pp.83-100
01/01/2001
DOI: 10.1023/A:1014942830746
Abstract
Large production variations caused by abnormal disturbances can significantly reduce the production capacity of a flexible manufacturing system (FMS). To prevent production delays, short-term capacity adjustment strategies can be used to augment the capacity of the FMS, such as working overtime, using alternative tools that are suited for faster processing, and producing parts outside of the FMS. We propose a mixed integer programming (MIP) model to obtain an optimal production plan for a multi-machine FMS. Our model evaluates both the FMS loading decision and the effective use of short-term capacity adjustment strategies to minimize the total part production cost. We develop an iterative procedure to solve the model that uses the Lagrangian relaxation method for finding lower bounds and a Lagrangian heuristic for obtaining feasible solutions. The procedure exploits certain special structures found in the Lagrangian multipliers which enable us to obtain good solutions to reasonably large test problems quickly. [PUBLICATION ABSTRACT]
Details
- Title: Subtitle
- Short-term capacity adjustment with offline production for a flexible manufacturing system under abnormal disturbances
- Creators
- Renato de Matta - University of IowaVernon Ning Hsu - Department of Industrial Engineering and Engineering Management, Hongkong University of Science and Technology, Hongkong, Peoples Republic of ChinaChang-Xue Feng - Bradley University
- Resource Type
- Journal article
- Publication Details
- Annals of operations research, Vol.107(1), pp.83-100
- Publisher
- Springer Nature B.V
- DOI
- 10.1023/A:1014942830746
- ISSN
- 0254-5330
- eISSN
- 1572-9338
- Language
- English
- Date published
- 01/01/2001
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380478402771
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