RZRM: Paper Abstract
International Journal of Computational Intelligence Systems, 5(1):126-147, 2012

Commercial Territory Design for a Distribution Firm with New Constructive and Destructive Heuristics

Jaime Cano-Belmán (1)
Roger Z. Ríos-Mercado (2)
M. Angélica Salazar-Aguilar (3)

(1) Institute for Supply Chain Management - Procurement and Logistics
EBS University, Wiesbaden, Germany

(2) Graduate Program in Systems Engineering
Universidad Autónoma de Nuevo León

(3) HEC-Montréal, Canada

Abstract: A commercial territory design problem with compactness maximization criterion subject to territory balancing and connectivity is addressed. Four new heuristics based on Greedy Randomized Adaptive Search Procedures within a location-allocation scheme for this NP-hard combinatorial optimization problem are proposed. The first three (named GRLH1, GRLH2, and GRDL) build the territories simultaneously. Their construction phase consists of two parts: a location phase where p territory seeds are identified, and an allocation phase where the remaining basic units are iteratively assigned to a territory. In contrast, the other heuristic (named SLA) builds the territories one at a time. Empirical results reveals that GRLH1 and GRLH2 find near-optimal or optimal solutions to relatively small instances, where exact solutions could be found. The proposed procedures are relatively fast. We carried out a comparison between the proposed heuristic procedures and the existing method in larger instances. It was observed the proposed heuristic GRLH1 produced competitive results with respect to the existing approach.


Download: [ My PDF || DOI: 10.1080/18756891.2012.670526 || Reprint from IJCIS || Citations from Scholar.Google ]