|Table of Contents|

Multi-objective optimization for job shop scheduling in green manufacturing(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2011年02期
Page:
106-112
Research Field:
Publishing date:
2011-04-30

Info

Title:
Multi-objective optimization for job shop scheduling in green manufacturing
Author(s):
LIU Qing-tao;  CAI Zong-yan;  LIU Xiao-ting;  ZAN Jie
School of Engineering Machinery, Chang'an University, Xi'an 710064, Shaanxi, China
Keywords:
mechanical engineering;  green manufacturing;  multi-objective;  genetic algorithm;  fuzzy evaluation
PACS:
TH166
DOI:
-
Abstract:
A new multi-objective optimization for job shop scheduling in green manufacturing was put forward. Firstly, the scheduling objectives were decomposed into competitiveness indices and sustainability indices, and mathematical models were established for both of them separately. Secondly, the multi-group Pareto optimal solutions based on improved genetic algorithm were solved to meet the competitive index, from which the best compromise solution of sustainability indices were selected by fuzzy evaluation and the green scheduling solution was finally established. A case study shows that the proposed method not only ensures production efficiency, but also minimize resource consumption and environmental impact in manufacturing process, and can solve multi-objective optimization problem in green manufacturing effectively. 1 tab, 2 figs, 9 refs.

References:

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Memo

Memo:
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Last Update: 2011-04-30