Multi-objective genetic algorithm in green just-in-time logistics

Ashkan Memari; Abd Rahman Abdul Rahim; Robiah Ahmad

doi:10.1109/IEEM.2014.7058836

Multi-objective genetic algorithm in green just-in-time logistics

Ashkan Memari, Abd Rahman Abdul Rahim, Robiah Ahmad

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

4 Citations (Scopus)

Abstract

This paper addresses a mixed-integer linear programming model by integrating just-in-time delivery along with green objectives in a logistics network. Multi-objective genetic algorithm optimization has been applied in order to minimize the number of delivery and lead-time as well as environmental impact of logistic network. This evolutionary based algorithm incorporates non-dominated sorting genetic algorithm, so as to allow heuristic for parallel optimization of the objective functions. Computational results demonstrate efficiency of the proposed model for minimizing the objective functions. Finally, the conclusion and some areas of further research are proposed.

Original language	English
Title of host publication	IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management
Publisher	IEEE Computer Society
Pages	1239-1243
Number of pages	5
ISBN (Electronic)	9781479964109
DOIs	https://doi.org/10.1109/IEEM.2014.7058836
Publication status	Published - 2014
Externally published	Yes
Event	2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014 - Selangor, Malaysia Duration: 9 Dec 2014 → 12 Dec 2014

Publication series

Name	IEEE International Conference on Industrial Engineering and Engineering Management
Volume	2015-January
ISSN (Print)	2157-3611
ISSN (Electronic)	2157-362X

Conference

Conference	2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014
Country/Territory	Malaysia
City	Selangor
Period	9/12/14 → 12/12/14

Access to Document

10.1109/IEEM.2014.7058836

Cite this

Memari, A., Rahim, A. R. A., & Ahmad, R. (2014). Multi-objective genetic algorithm in green just-in-time logistics. In IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1239-1243). Article 7058836 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2015-January). IEEE Computer Society. https://doi.org/10.1109/IEEM.2014.7058836

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title = "Multi-objective genetic algorithm in green just-in-time logistics",

abstract = "This paper addresses a mixed-integer linear programming model by integrating just-in-time delivery along with green objectives in a logistics network. Multi-objective genetic algorithm optimization has been applied in order to minimize the number of delivery and lead-time as well as environmental impact of logistic network. This evolutionary based algorithm incorporates non-dominated sorting genetic algorithm, so as to allow heuristic for parallel optimization of the objective functions. Computational results demonstrate efficiency of the proposed model for minimizing the objective functions. Finally, the conclusion and some areas of further research are proposed.",

author = "Ashkan Memari and Rahim, {Abd Rahman Abdul} and Robiah Ahmad",

year = "2014",

doi = "10.1109/IEEM.2014.7058836",

language = "English",

series = "IEEE International Conference on Industrial Engineering and Engineering Management",

publisher = "IEEE Computer Society",

pages = "1239--1243",

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note = "2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014 ; Conference date: 09-12-2014 Through 12-12-2014",

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Memari, A, Rahim, ARA & Ahmad, R 2014, Multi-objective genetic algorithm in green just-in-time logistics. in IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management., 7058836, IEEE International Conference on Industrial Engineering and Engineering Management, vol. 2015-January, IEEE Computer Society, pp. 1239-1243, 2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014, Selangor, Malaysia, 9/12/14. https://doi.org/10.1109/IEEM.2014.7058836

Multi-objective genetic algorithm in green just-in-time logistics. / Memari, Ashkan; Rahim, Abd Rahman Abdul; Ahmad, Robiah.
IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE Computer Society, 2014. p. 1239-1243 7058836 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2015-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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AB - This paper addresses a mixed-integer linear programming model by integrating just-in-time delivery along with green objectives in a logistics network. Multi-objective genetic algorithm optimization has been applied in order to minimize the number of delivery and lead-time as well as environmental impact of logistic network. This evolutionary based algorithm incorporates non-dominated sorting genetic algorithm, so as to allow heuristic for parallel optimization of the objective functions. Computational results demonstrate efficiency of the proposed model for minimizing the objective functions. Finally, the conclusion and some areas of further research are proposed.

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Y2 - 9 December 2014 through 12 December 2014

ER -

Multi-objective genetic algorithm in green just-in-time logistics

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