Computational comparison of mixed-integer programing models for reliable hub systems with fixed cost and multiple capacity levels

Nader Azizi

Computational comparison of mixed-integer programing models for reliable hub systems with fixed cost and multiple capacity levels

Research output: Contribution to conference › Abstract

Abstract

In this research, we present two MIP formulations for the classical single allocation hub location problem considering hubs with multiple capacity levels that are subjected to random disruptions. The computational performance of the two proposed formulations are then compared using small instances from CAB dataset. We also address cases in which hub facilities are partially disrupted.

Original language	English
Publication status	Published - 12 Sep 2018
Event	OR60 'Anniversary' Conference - Lancaster University, Bailrigg, Lancaster, United Kingdom Duration: 11 Sep 2018 → 13 Sep 2018 http://www.theorsociety.com/Pages/Conferences/OR60/OR60.aspx

Conference

Conference	OR60 'Anniversary' Conference
Country/Territory	United Kingdom
City	Bailrigg, Lancaster
Period	11/09/18 → 13/09/18
Internet address	http://www.theorsociety.com/Pages/Conferences/OR60/OR60.aspx

Cite this

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AB - In this research, we present two MIP formulations for the classical single allocation hub location problem considering hubs with multiple capacity levels that are subjected to random disruptions. The computational performance of the two proposed formulations are then compared using small instances from CAB dataset. We also address cases in which hub facilities are partially disrupted.

M3 - Abstract

T2 - OR60 'Anniversary' Conference

Y2 - 11 September 2018 through 13 September 2018

ER -

Computational comparison of mixed-integer programing models for reliable hub systems with fixed cost and multiple capacity levels

Abstract

Conference

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