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A heuristic algorithm for the free newspaper delivery problem
Authors:Claudia Archetti  Karl F. Doerner  Fabien Tricoire
Affiliation:1. Department of Economics and Management, University of Brescia, Brescia, Italy;2. Institute for Production and Logistics Management, Johannes Kepler University, Linz, Austria;3. Department of Business Administration, University of Vienna, Vienna, Austria;4. NICTA/UNSW, Sydney, Australia
Abstract:This paper addresses the problem of finding an effective distribution plan to deliver free newspapers from a production plant to subway, bus, or tram stations. The overall goal is to combine two factors: first, the free newspaper producing company wants to minimize the number of vehicle trips needed to distribute all newspapers produced at the production plant. Second, the company is interested in minimizing the time needed to consume all newspapers, i.e., the time needed to get all the newspapers taken by the final readers. The resulting routing problem combines aspects of the vehicle routing problem with time windows, the inventory routing problem, and additional constraints related to the production schedule. We propose a formulation and different heuristic approaches, as well as a hybrid method. Computational tests with real world data show that the hybrid method is the best in various problem settings.
Keywords:Vehicle routing problem with time windows   Inventory routing   Production schedule   Metaheuristics   Hybrid methods
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