Multiobjective optimization in delivering pharmaceutical products with disrupted vehicle routing problem
- 1 January 2020
- journal article
- research article
- Published by Growing Science in International Journal of Industrial Engineering Computations
- Vol. 11 (2), 299-316
- https://doi.org/10.5267/j.ijiec.2019.7.003
Abstract
This paper is interested in pharmaceuticals distribution which is one of the most important activities and ensures the availability of drug products to a set of customers (pharmacies). The study introduces the Disrupted Vehicle Routing problem with Soft Time Windows since pharmaceutical distributors should respond to increased demands for products to ensure timely and efficient delivery to dynamic demands. We also propose an improved multiobjective local search (IMOLS), which uses methods of neighborhood search such as large neighborhood search (LNS) and variable neighborhood search (VNS) based on a hybrid approach in the optimization of vehicle routes. The algorithm is expected to achieve competitive results compared with previously published studies. (C) 2020 by the authors; licensee Growing Science, CanadaKeywords
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