Highlights A real-world multi-period territory design problem is presented. The scheduling subproblem is formally defined as a mixed integer program (MIP). A heuristic based on a location-allocation scheme is developed. Experiments on real-word instances show the effectiveness of the proposed method.
Abstract In service territory design applications, a field service workforce is responsible for providing recurring services at their customers’ sites. We introduce the associated planning problem, which consists of two subproblems: In the partitioning subproblem, customers must be grouped into service territories. In the scheduling subproblem, customer visits must be scheduled throughout the multi-period planning horizon. The emphasis of this paper is put on the scheduling subproblem. We propose a mixed integer programming model for this subproblem and present a location-allocation heuristic. The results of extensive experiments on real-world instances show that the proposed heuristic produces high-quality solutions.
The multi-period service territory design problem – An introduction, a model and a heuristic approach
2016-09-18
23 pages
Article (Journal)
Electronic Resource
English
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