Combination Weighting-based Comprehensive Evaluation for Discrete Workshop Production Plan

doi:10.16182/j.issn1004731x.joss.20-0287

Abstract

Abstract: Aiming at the lack of a general evaluation index system and a comprehensive evaluation method combining qualitative and quantitative for discrete workshop production planning, an evaluation index system is constructed from the economy, timeliness and adaptability and a combination weighting-based comprehensive evaluation method is proposed. A combination weight of subjective and objective significance is obtained by combining the extension of analytic hierarchy process, entropy value method and improved CRITIC (Criteria Importance Through Intercriteria Correlation) method, which improves the scientific evaluation of discrete workshop production planning. The verification results of examples show that the method is more sensitive to the data and has the better evaluation sensitivity.

Key words: discrete workshop, extension AHP(Analytic Hierarchy Process), improved CRITIC(Criteria Importance Through Intercriteria Correlation) method, entropy method, comprehensive evaluation of production plan

CLC Number:

TP391.9

Luo Zhangzhen, Jiang Haifan, Fu Jianlin, Ding Guofu. Combination Weighting-based Comprehensive Evaluation for Discrete Workshop Production Plan[J]. Journal of System Simulation, 2021, 33(8): 1856-1865.

References

[1] Afshar S, Koroorian F, Ashjaei M.Investigating Alternatives for System Architectures to Enhance Discrete Manufacturing[J]. International Journal of Distributed Sensor Networks (S1550-1477), 2019, 15(8).
[2] Gordic B.Flexible Optimization in the Process of Planning and Pronduction Control[J]. Tehnicki Vjesnik-Technical Gazette (S1848-6339), 2017, 24(4): 1087-1094.
[3] 李玉东. 全过程视角下某离散制造系统运行评价及应用[D]. 重庆: 重庆大学, 2015.
Li Yudong.Operation Evaluation and Its Application of One Discrete Manufacturing System under a Whole Process Perspective[D]. Chongqing: Chongqing University, 2015.
[4] Li L H, Mo R.Production Task Queue Optimization Based on Multi-Attribute Evaluation for Complex Product Assembly Workshop[J]. PLoS One (S1932-6203), 2015, 10(9): e0134343.
[5] 张通. 汽车制造企业S公司生产计划模型研究与评价[D]. 武汉: 武汉理工大学, 2011.
Zhang Tong.Research and Evaluation of Production Plan Optimization for S Automobile Manufacturers Enterprise[D]. Wuhan: Wuhan University of Technology, 2011.
[6] 雷崇武. 基于知识表示的钢铁生产合同计划决策支持系统研究[D]. 武汉: 武汉科技大学, 2015.
Lei Chongwu.Decision Support System of Iron and Steel Production Order Planning based on Knowledge Representation[D]. Wuhan: Wuhan University of Science and Technology, 2015.
[7] 郭菁菁. 基于紧急订单的生产计划制定与影响评价研究[D]. 北京: 中国矿业大学, 2018.
Guo Jingjing.Study of Production Planning and Impact Evaluating Based on Rush Order[D]. Beijing: China University of Mining and Technology, 2018.
[8] Tas O, Ekmekcioglu M.Mortgage Demanders Evaluation by Fuzzy AHP[J]. Journal of Multiple-Valued Logic and Soft Computing (S1542-3980), 2013, 21(5/6): 511-524.
[9] 高炜, 张庆普, 敦晓彪. 基于改进的可拓层次分析法和动态加权的航天高技术综合评价研究[J]. 系统工程与电子技术, 2016, 38(1): 102-109.
Gao Wei, Zhang Qingpu, Dun Xiaobiao.Comprehensive Assessment of Advanced Military Aerospace Technologies Based on Improved EAHP and Dynamic Weighting[J]. Systems Engineering and Electronics, 2016, 38(1): 102-109.
[10] Lin Z Z, Wen F S, Wang H F.CRITIC-Based Node Importance Evaluation in Skeleton-Network Reconfiguration of Power Grids[J]. IEEE Transactions on Circuits and Systems II-Express Briefs (S1549-7747), 2018, 65(2): 206-210.
[11] 祝志川, 张国超, 张君妍. 基于改进CRITIC的修正G2赋权方法及实证[J]. 统计与决策, 2018, 34(18): 33-38.
Zhu Zhichuan, Zhang Guochao, Zhang Junyan.Modified G2 Weighting Method and Empirical Research Based on Improved CRITIC[J]. Statistics & Decision, 2018, 34(18): 33-38.
[12] Li M, Sun H, Singh V P.Agricultural Water Resources Management Using Maximum Entropy and Entropy-Weight-Based TOPSIS Methods[J]. Entropy (S1099-4300), 2019, 21(4): 364.
[13] 宋冬梅, 刘春晓, 沈晨. 基于主客观赋权法的多目标多属性决策方法[J]. 山东大学学报(工学版), 2015, 45(4): 1-9.
Song Dongmei, Liu Chunxiao, Shen Chen.Multiple Objective and Attribute Decision Making Based on the Subjective and Objective Weighting[J]. Journal of Shandong University (Engineering Science), 2015, 45(4): 1-9.
[14] 曹东风, 王艳. 基于组合权重的制造系统能效贝叶斯评价方法[J]. 系统仿真学报, 2018, 30(11): 4313-4322.
Cao Dongfeng, Wang Yan.Bayesian Evaluation Method for Energy Efficiency of Manufacturing System Based on Combined Weights[J]. Journal of System Simulation, 2018, 30(11): 4313-4322.
[15] 彭竹清, 王艳, 纪志成. 基于改进熵值法的离散制造系统能效评价方法[J]. 系统仿真学报, 2017, 29(9): 2121-2127.
Peng Zhuqing, Wang Yan, Ji Zhicheng.Energy Efficiency Evaluation of Discrete Manufacturing System Based on Improved Entropy Method[J]. Journal of System Simulation, 2017, 29(9): 2121-2127.