Title |
Multi-stakeholder?s sustainable requirement analysis for smart manufacturing systems based on the stakeholder value network approach |
ID_Doc |
73707 |
Authors |
Qu, YJ; Wang, YP; Ming, XG; Chu, XH |
Title |
Multi-stakeholder?s sustainable requirement analysis for smart manufacturing systems based on the stakeholder value network approach |
Year |
2023 |
Published |
|
DOI |
10.1016/j.cie.2023.109043 |
Abstract |
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. |
Author Keywords |
Smart manufacturing requirements list; Stakeholder salience model; Stakeholder value network; Sustainable value; Smart manufacturing systems |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED) |
EID |
WOS:000963712400001 |
WoS Category |
Computer Science, Interdisciplinary Applications; Engineering, Industrial |
Research Area |
Computer Science; Engineering |
PDF |
|