Integration of geographical information systems, meta-heuristics and optimization models for the employee transportation problem

© 2016 Mapping Sciences Institute, Australia and Surveying and Spatial Sciences Institute. This paper introduces meta-heuristics and its application to an employee transportation problem for a case study of a hard disk drive company. The objective of the development is to demonstrate improved route...

Full description

Saved in:

Bibliographic Details
Main Authors:	Teerapun Saeheaw, Nivit Charoenchai
Format:	Journal
Published:	2018
Subjects:	Earth and Planetary Sciences Energy Social Sciences
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85002489596&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57207
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Chiang Mai University

id	th-cmuir.6653943832-57207
record_format	dspace
spelling	th-cmuir.6653943832-572072018-09-05T03:54:34Z Integration of geographical information systems, meta-heuristics and optimization models for the employee transportation problem Teerapun Saeheaw Nivit Charoenchai Earth and Planetary Sciences Energy Social Sciences © 2016 Mapping Sciences Institute, Australia and Surveying and Spatial Sciences Institute. This paper introduces meta-heuristics and its application to an employee transportation problem for a case study of a hard disk drive company. The objective of the development is to demonstrate improved route planning and fleet assignment to serve all employees in terms of cost savings. A GIS-based employee transportation system is created to design the shortest routes with feasible fleet allocation. The proposed meta-heuristics–central force optimization (CFO), chemical reaction optimization (CRO), and a parallel CFO-CRO–are compared with cuckoo search to validate the performance. The proposed algorithms can effectively determine the most feasible routes. The system is easy to use and capable of handling complex vehicle routing problems. 2018-09-05T03:36:29Z 2018-09-05T03:36:29Z 2017-07-03 Journal 14498596 2-s2.0-85002489596 10.1080/14498596.2016.1256237 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85002489596&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57207
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Earth and Planetary Sciences Energy Social Sciences
spellingShingle	Earth and Planetary Sciences Energy Social Sciences Teerapun Saeheaw Nivit Charoenchai Integration of geographical information systems, meta-heuristics and optimization models for the employee transportation problem
description	© 2016 Mapping Sciences Institute, Australia and Surveying and Spatial Sciences Institute. This paper introduces meta-heuristics and its application to an employee transportation problem for a case study of a hard disk drive company. The objective of the development is to demonstrate improved route planning and fleet assignment to serve all employees in terms of cost savings. A GIS-based employee transportation system is created to design the shortest routes with feasible fleet allocation. The proposed meta-heuristics–central force optimization (CFO), chemical reaction optimization (CRO), and a parallel CFO-CRO–are compared with cuckoo search to validate the performance. The proposed algorithms can effectively determine the most feasible routes. The system is easy to use and capable of handling complex vehicle routing problems.
format	Journal
author	Teerapun Saeheaw Nivit Charoenchai
author_facet	Teerapun Saeheaw Nivit Charoenchai
author_sort	Teerapun Saeheaw
title	Integration of geographical information systems, meta-heuristics and optimization models for the employee transportation problem
title_short	Integration of geographical information systems, meta-heuristics and optimization models for the employee transportation problem
title_full	Integration of geographical information systems, meta-heuristics and optimization models for the employee transportation problem
title_fullStr	Integration of geographical information systems, meta-heuristics and optimization models for the employee transportation problem
title_full_unstemmed	Integration of geographical information systems, meta-heuristics and optimization models for the employee transportation problem
title_sort	integration of geographical information systems, meta-heuristics and optimization models for the employee transportation problem
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85002489596&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57207
_version_	1681424835768483840

Integration of geographical information systems, meta-heuristics and optimization models for the employee transportation problem

Similar Items