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Optimal assignment of resources to strengthen the weakest link in an uncertain environment

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  • Ching-Chung Kuo

Abstract

The weakest link principle applies to many real-life situations where a system is as productive as its bottleneck. The purpose of this paper is to show how the efficiency of a manufacturing or service process (i.e., the strength of a chain) may be maximized by optimal allocation of resources to improve the performance of the bottleneck (i.e., strengthen the weakest link) in an uncertain environment. Specifically, we consider two different versions of the stochastic bottleneck assignment problem (SBAP), which is a variation of the classic assignment problem (AP), with respective goals of minimizing the expected longest processing time and maximizing the expected lowest production rate. It is proven that each of the two intrinsically difficult SBAPs is reducible to an efficiently solvable AP provided that the processing times or the production rates are independent random variables following some families of probability distributions. Copyright Springer Science+Business Media, LLC 2011

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  • Ching-Chung Kuo, 2011. "Optimal assignment of resources to strengthen the weakest link in an uncertain environment," Annals of Operations Research, Springer, vol. 186(1), pages 159-173, June.
    • Handle: RePEc:spr:annopr:v:186:y:2011:i:1:p:159-173:10.1007/s10479-011-0860-0
    DOI: 10.1007/s10479-011-0860-0
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    Cited by:

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    2. R. Lenin & S. Ramaswamy, 2015. "Performance analysis of wireless sensor networks using queuing networks," Annals of Operations Research, Springer, vol. 233(1), pages 237-261, October.

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