A multiobjective post-sales guarantee and repair services network design problem
| Autor: | Gazi Bilal Yıldız, Banu Soylu |
|---|---|
| Přispěvatelé: | [Belirlenecek] |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Economics and Econometrics
Mathematical optimization Total cost Computer science Heuristic (computer science) Tardiness 0211 other engineering and technologies 02 engineering and technology Management Science and Operations Research Industrial and Manufacturing Engineering Frontier Post-sales and repair networks 0502 economics and business 021103 operations research Multiobjective mixed-integer linear programming Mobile phone repair networks Heuristic 05 social sciences Pareto principle General Business Management and Accounting Network planning and design Mobile phone Customer satisfaction 050203 business & management Variable neighborhood search Reverse logistics |
| Popis: | In this paper, we consider a biobjective post-sales guarantee and repair services network design problem. One of the objective functions minimizes the total transportation cost of the network, while the other one minimizes the total tardiness of returned products from the targeted delivery duration. Although the motivation of our problem emanates from the repair services network of a mobile phone company, proposed models and algorithms can easily be adapted to any type of products. The mobile phone customers are sensitive to delays and thus decreasing the tardiness improves the customer satisfaction. However, due to intense competition among mobile phone companies, the total cost of the repair services network should also be minimized. We analyze the tradeoff between these objective functions and discuss the properties of the Pareto frontier. We are able to find the Pareto frontier exactly for small size networks. For large size networks, we propose a variable neighborhood search (VNS) based heuristic to approximate the Pareto frontier. We perform an application and experiments on the current network of a mobile company and present alternatives to the decision maker. WOS:000487564900023 2-s2.0-85067842019 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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