Multiobjective optimization in delivering pharmaceutical products with disrupted vehicle routing problem
| Autor: | Mohammad Cherkaoui, Btissam Dkhissi, Bouchra Bouziyane |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Mathematical optimization
lcsh:T55.4-60.8 Computer science Hybrid approach Multi-objective optimization Industrial and Manufacturing Engineering vehicle routing problem with soft time windows (vrpstw) Variable (computer science) Vehicle routing problem lcsh:Industrial engineering. Management engineering multiobjective optimization lcsh:Production management. Operations management lcsh:TS155-194 hybrid approach |
| Zdroj: | International Journal of Industrial Engineering Computations, Vol 11, Iss 2, Pp 299-316 (2019) |
| ISSN: | 1923-2934 1923-2926 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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