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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

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

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Official URL: http://www.ijbts-journal.com/images/main_136679675...

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
Uncontrolled 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 (Artificial Intelligence, Machine Learning, 3D Graphics, Digital Video, Data Mining, Augmented Reality)
500 Science and Mathematic > 570 Biology > 576 Genetics and Evolution
Q Science > QA Mathematics > QA299.6-433 Analysis
Divisions: Fakultas Teknik Informatika > Program Studi Sistem Informasi
Depositing User: mr admin umn
Date Deposited: 24 Nov 2021 14:45
Last Modified: 24 Nov 2021 14:45
URI: http://kc.umn.ac.id/id/eprint/19263

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