Dynamic resource allocation: A flexible and tractable modeling framework

Dimitris Bertsimas, Shubham Gupta and Guglielmo Lulli

European Journal of Operational Research, 2014, vol. 236, issue 1, 14-26

Abstract: This paper presents a binary optimization framework for modeling dynamic resource allocation problems. The framework (a) allows modeling flexibility by incorporating different objective functions, alternative sets of resources and fairness controls; (b) is widely applicable in a variety of problems in transportation, services and engineering; and (c) is tractable, i.e., provides near optimal solutions fast for large-scale instances. To justify these assertions, we model and report encouraging computational results on three widely studied problems – the Air Traffic Flow Management, the Aircraft Maintenance Problems and Job Shop Scheduling. Finally, we provide several polyhedral results that offer insights on its effectiveness.

Keywords: Applications of integer optimization; Resource allocation; Scheduling; Fairness (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:236:y:2014:i:1:p:14-26

DOI: 10.1016/j.ejor.2013.10.063

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