Abstract

 


 



A Review of Manufacturing Resources Planning Models Under Different Uncertainties: State-of-The-Art and Future Directions


Md. Abdul Wazed


University of Malaya (UM)

Shamsuddin Ahmed


University of Malaya (UM)

Yusoff Nukman


University of Malaya

June 5, 2010

South African Journal of Industrial Engineering, Vol. 21, No. 1, pp. 17-33, 2010

Abstract:     
The main purposes of this paper are to enhance the understanding of manufacturing resources planning models under uncertain conditions by documenting the current state of affairs, and to stimulate a fruitful future research direction by identifying gaps between the relevant issues and the literature available in reputable journals. This paper is a comprehensive and up-to-date review of the existing literature on manufacturing resource planning models under uncertainty. The authors have found that the combined effects/impacts of the uncertainty factors on the system parameters have yet to be thoroughly studied. So far no research has been conducted into developing mathematical model(s) to study the uncertainty issues holistically in multi-period, multiple product, and multi-stage environments for manufacturing resources planning in association with commonality.

Number of Pages in PDF File: 18

Keywords: Commonality, uncertainty, manufacturing resources planning

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Date posted: June 12, 2010  

Suggested Citation

Wazed, Md. Abdul, Ahmed, Shamsuddin and Nukman, Yusoff, A Review of Manufacturing Resources Planning Models Under Different Uncertainties: State-of-The-Art and Future Directions (June 5, 2010). South African Journal of Industrial Engineering, Vol. 21, No. 1, pp. 17-33, 2010. Available at SSRN: http://ssrn.com/abstract=1620964

Contact Information

Md. Abdul Wazed (Contact Author)
University of Malaya (UM) ( email )
Kuala Lumpur, 50603
Malaysia
Shamsuddin Ahmed
University of Malaya (UM) ( email )
Kuala Lumpur, 50603
Malaysia
Yusoff Nukman
University of Malaya ( email )
Kuala Lumpur, 50603
Malaysia
60379674459 (Phone)
60379675330 (Fax)
Feedback to SSRN (Beta)


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