Using predetermined partial solutions for solving a heterogeneous truck fleet distribution model

Iqbal Agha () and Debra O'Connor ()
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Iqbal Agha: Department of Finance & Operations Management, Isenberg School of Management, University of Massachusetts at Amherst
Debra O'Connor: Department of Economics, College of the Holy Cross

No 1411, Working Papers from College of the Holy Cross, Department of Economics

Abstract: This paper makes use of partial solutions to solve a two-echelon heterogeneous truck fleet distribution model with single-sourced distribution centres. The partial solutions are predetermined using an algorithmic procedure that determines the mix of trucks to deploy to a demand point by relating the required shipment volume to the cost and capacity of each truck type. The partial solutions reduce the feasible region of the associated mixed-integer programming model, which is then solved to obtain the complete solution. A computational study demonstrates that solutions for prototypical two-echelon distribution scenarios with up to 32 distribution centres and 1,600 demand points can be obtained within a few seconds of computation time.

Keywords: distribution modelling; integer programming; logistics; partial solutions; planning; truck fleet distribution; demand points; distribution centres; shipment volume; mixed integer programmings (search for similar items in EconPapers)
Pages: 13 pages
Date: 2014-12
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Published in International Journal of Planning and Scheduling, Volume 2, Number 1, 2014, Pages 1-13.

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