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...
Saved in:
Main Authors: | , |
---|---|
Format: | Journal |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85002489596&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46769 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
id |
th-cmuir.6653943832-46769 |
---|---|
record_format |
dspace |
spelling |
th-cmuir.6653943832-467692018-04-25T07:22:37Z Integration of geographical information systems, meta-heuristics and optimization models for the employee transportation problem Teerapun Saeheaw Nivit Charoenchai Energy Agricultural and Biological 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. 2018-04-25T07:00:56Z 2018-04-25T07:00:56Z 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/6653943832/46769 |
institution |
Chiang Mai University |
building |
Chiang Mai University Library |
country |
Thailand |
collection |
CMU Intellectual Repository |
topic |
Energy Agricultural and Biological Sciences |
spellingShingle |
Energy Agricultural and Biological 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/6653943832/46769 |
_version_ |
1681422935871455232 |