云制造模式下差异化产品多时序生产优化

doi:10.13196/j.cims.2021.06.014

计算机集成制造系统 ›› 2021, Vol. 27 ›› Issue (6): 1681-1692.DOI: 10.13196/j.cims.2021.06.014

云制造模式下差异化产品多时序生产优化

单子丹^1,2,李雲竹¹,盛晨辉¹

1.哈尔滨理工大学经济与管理学院
2.哈尔滨理工大学高新技术产业发展研究中心

出版日期:2021-06-30 发布日期:2021-06-30
基金资助:
国家自然科学基金资助项目(71402041);黑龙江省哲学社科研究规划资助项目(18GLB026);哈尔滨市创新人才基金资助项目(RC2017QN014007);校级“理工英才”计划科学研究资助项目(LGYC2018JC055)。

Multi-timing production of differentiated products in cloud manufacturing mode

Online:2021-06-30 Published:2021-06-30
Supported by:
Project supported by the National Natural Science Foundation,China(No.71402041),the Social Science Research Plan of Hei Longjiang Province,China(No.18GLB026),the Innovative Talent Foundation of Harbin City,China(No.RC2017QN014007),and the School-Level “Science and Technology Talents” Program,China(No.LGYC2018JC055).

摘要/Abstract

摘要： 为解决云制造模式下企业服务能力有限性及客户需求不确定性问题,深入分析云制造企业群多时序生产服务模式,基于服务时间、成本和质量构建差异化产品生产优化模型,结合客户需求的偏好性与模糊性,引入三角模糊及广义诱导有序加权平均算子针对客户模糊需求给出区间型组合供应算法,确定协同制造企业群的最优组合。以包含4类差异制造需求的产品为例,进行MATLAB仿真实验,验证了所提模型与算法的有效性与可行性。结果表明,差异化产品增强了云制造服务流程的复杂性,多时序生产可较好地分解与重组制造任务,嵌入客户模糊化需求,从而提高云制造服务平台的运作效率及应用效果。

关键词: 云制造模式, 生产优化, 多时序生产, 三角模糊, 广义诱导有序加权平均算子

Abstract: To solve the problems of limited enterprises service capacity and customers' uncertain demands under cloud manufacturing mode,the multi-time series production service mode of cloud manufacturing enterprises cluster was deeply analyzed.A differentiated product production decision model was constructed based on the service time,cost and quality,and triangular fuzzy and Generally Induced Ordered Weighted Averaging(GIOWA) operator was introduced to give an interval combinatorial optimization algorithm based on customer fuzzy demand.By taking the product with four manufacturing requirements as the example,the simulation experiment had been conducted with MATLAB to verify the effectiveness and feasibility of the proposed model and algorithm.The results showed that the differentiated products could enhance the complexity of cloud manufacturing service process,the multi-sequence production could better decompose and restructure manufacturing tasks,embed customers' fuzzy and uncertain demands,and improve the operational efficiency and application effect of cloud manufacturing service platform.

Key words: cloud manufacturing mode, production optimization, multi-time sequence production, triangular fuzzy, generally induced ordered weighted averaging operators

中图分类号:

F273.5

单子丹,李雲竹,盛晨辉. 云制造模式下差异化产品多时序生产优化[J]. 计算机集成制造系统, 2021, 27(6): 1681-1692.

[1]	耿秀丽,薄振一. 基于网络博弈的顾客需求权重确定方法[J]. 计算机集成制造系统, 2020, 26(10): 2792-2798.
[2]	王浩伦,徐翔斌,甘卫华. 基于三角模糊软集的FMEA风险评估方法[J]. 计算机集成制造系统, 2015, 21(第11期): 3054-3062.
[3]	马福民,徐安平,刘涛涛. 不确定因素作用下连续型企业能源消耗过程建模方法[J]. 计算机集成制造系统, 2015, 21(第10期): 2711-2719.
[4]	张芳兰,杨明朗,刘卫东. 基于模糊TOPSIS方法的汽车形态设计方案评价[J]. 计算机集成制造系统, 2014, 20(2): 276-.
[5]	张市芳，刘三阳，秦传东，翟任何. 动态三角模糊多属性决策的VIKOR扩展方法[J]. , 2012, 18(01): 0-0.
[6]	周丽娜，徐晓飞，邓胜春. 面向差异性的供应链服务水平综合评价模型[J]. , 2009, 15(05): 0-0.
[7]	李成严, 徐晓飞, 战德臣. 模糊资源约束的联合补充问题[J]. , 2008, 14(01): 0-0.
[8]	潘星,，王君，　刘鲁. 航空制造企业知识管理水平的模糊综合评价方法[J]. , 2007, 13(10): 0-0.
[9]	朱松岭，周平，韩毅，杨海成. 基于模糊层次分析法的风险量化研究[J]. , 2004, 10(8): 0-0.

云制造模式下差异化产品多时序生产优化

Multi-timing production of differentiated products in cloud manufacturing mode

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 9

编辑推荐

Metrics