Ferdinand, Friska Natalia and Lee, Hae Kyung and Lee, Hee Jeong and Ko, Chang Seong (2014) A GENETIC ALGORITHM-BASED HEURISTIC FOR NETWORK DESIGN OF SERVICE CENTERS WITH PICK-UP AND DELIVERY VISITS OF MANDATED VEHICLES IN EXPRESS DELIVERY SERVICE INDUSTRY. Journal of the Korean Society of Supply Chain Management. pp. 77-83. ISSN 1598-382X
Full text not available from this repository.Abstract
In Korean express delivery service market, many domestic companies have been competing fiercely to extend their own market share. The line-haul vehicles operated by the express delivery service companies in Korea in general can be classified into three types depending on the ways their expenses occur; company-owned vehicle, mandated vehicle which is owned by outsider who entrust the company with its operation, and rented vehicle (outsourcing). Actually, most of the line-haul vehicles in express delivery services belong to the mandated vehicle class. Hence, this study suggests an approach to the design of a service network with pick-up and delivery visits for mandated line-haul vehicles with the objective of maximizing the incremental profits of the drivers of the vehicles under the assumption that express delivery service companies operate mandated vehicles only. A genetic algorithm-based heuristic is developed and tested through an example problem.
| Item Type: | Article |
|---|---|
| Keywords: | Express Delivery Services, Pick-Up and Delivery, Mandated Line-Haul Vehicle, Genetic Algorithm |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods 500 Science and Mathematic > 570 Biology > 576 Genetics and Evolution |
| Divisions: | Faculty of Engineering & Informatics > Information System |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 24 Nov 2021 14:45 |
| Last Modified: | 27 Jan 2022 02:14 |
| URI: | https://kc.umn.ac.id/id/eprint/19263 |
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