文献类型：期刊文献

英文题名：MULTI-OBJECTIVE ENERGY-SAVING JOB-SHOP SCHEDULING BASED ON IMPROVED NSGA-II

作者：Huo, D. X.[1];Xiao, X. J.[2];Pan, Y. J.[3]

第一作者：Huo, D. X.

通讯作者：Pan, YJ[1]

机构：[1]Xinzhou Teachers Univ, Dept Econ & Management, Xinzhou 034000, Peoples R China;[2]Jiangxi Police Inst, Nanchang 330103, Jiangxi, Peoples R China;[3]Beijing Union Univ, Business Coll, Beijing 100025, Peoples R China

第一机构：Xinzhou Teachers Univ, Dept Econ & Management, Xinzhou 034000, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Business Coll, Beijing 100025, Peoples R China.|[1141721]北京联合大学商务学院;[11417]北京联合大学;

年份：2020

卷号：19

期号：3

起止页码：494-504

外文期刊名：INTERNATIONAL JOURNAL OF SIMULATION MODELLING

收录：;Scopus(收录号：2-s2.0-85095782317);WOS:【SCI-EXPANDED(收录号:WOS:000571403200012)】；

基金：This work is supported by Program for the Philosophy and Social Sciences Research of Higher Learning Institutions of Shanxi, China (No. 2020W156).

语种：英文

外文关键词：Job-Shop Scheduling Problem (JSP); Multi-Objective Energy-Saving Optimization; Non-Dominated Sorting Genetic Algorithm II (NSGA-II); Green Manufacturing

摘要：To pursue sustainable development, the manufacturing industry must meet strict requirements on energy-saving. However, the traditional manufacturing mode is not sufficiently green to satisfy such requirements. To solve the problem, this paper attempts to optimize the multi-objective energy-saving job-shop scheduling process. Firstly, a multi-objective optimization model was established to minimize the maximum makespan, total carbon emissions, and total tardiness. Then, the non-dominated sorting genetic algorithm II (NSGA-II) was improved to provide a solution to the multi-objective energy-saving job-shop scheduling problem (JSP). Finally, the effectiveness of the improved NSGA-II for solving the said problem was verified through simulation. The research provides a good reference for improving the greenness of manufacturing mode.