Multi-stakeholder?s sustainable requirement analysis for smart manufacturing systems based on the stakeholder value network approach

被引:15
|
作者
Qu, Yuanju [1 ]
Wang, Yangpeng [1 ]
Ming, Xinguo [2 ]
Chu, Xianghua [1 ,3 ]
机构
[1] Shenzhen Univ, Coll Management, Shenzhen, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China
[3] Shenzhen Univ, Inst Big Data Intelligent Management & Decis, Shenzhen, Peoples R China
基金
中国国家自然科学基金;
关键词
Smart manufacturing requirements list; Stakeholder salience model; Stakeholder value network; Sustainable value; Smart manufacturing systems; INDUSTRY; 4.0; DECISION-MAKING; DESIGN; IDENTIFICATION; CAPABILITIES; METHODOLOGY; ENTERPRISES; FRAMEWORK; INTERNET; FOCUS;
D O I
10.1016/j.cie.2023.109043
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Sustainable development is of great significance to all Smart Manufacturing Systems (SMSs). Complex multi -stakeholder requirements influence the design and implementation of SMSs. Capturing multi-stakeholder re-quirements of SMSs are very important to manufacturer for construction or business process reengineering (BPR) phase of SMSs. However, there is a lack of the research on SMSs requirements (SMSs-R) list from the sustainable value view of multi-stakeholder and a lack of illustrating the complex relationship between SMSs and multi -stakeholder. Therefore, this study provided a systematic method to capture the SMSs-R list and explain the complex relationship between the SMSs and their multi-stakeholder. The contribution of this research study offers the comprehensive approach to capture SMSs-R based on stakeholder salience model and stakeholder value network. Secondly, the quantification analysis of SMS-R is proposed to determine the urgency and importance through the comprehensive fuzzy Kano model. Thirdly, SMSs-R list is obtained through the sys-tematic evaluation methods, including graph theory, dependency relationship matrix, and network statistical. Finally, a case study in Chinese company is used to check the feasibility of the proposed approach. The results show that our method can provide a visual and effective analysis for traditional manufacturing enterprises, and improve the operability and accuracy of SMSs-R list in the preliminary design or BPR stage.
引用
收藏
页数:14
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