Multi-stakeholder?s sustainable requirement analysis for smart manufacturing systems based on the stakeholder value network approach
被引:15
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作者:
Qu, Yuanju
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机构:
Shenzhen Univ, Coll Management, Shenzhen, Peoples R ChinaShenzhen Univ, Coll Management, Shenzhen, Peoples R China
Qu, Yuanju
[1
]
Wang, Yangpeng
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Shenzhen Univ, Coll Management, Shenzhen, Peoples R ChinaShenzhen Univ, Coll Management, Shenzhen, Peoples R China
Wang, Yangpeng
[1
]
Ming, Xinguo
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机构:
Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R ChinaShenzhen Univ, Coll Management, Shenzhen, Peoples R China
Ming, Xinguo
[2
]
Chu, Xianghua
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Shenzhen Univ, Coll Management, Shenzhen, Peoples R China
Shenzhen Univ, Inst Big Data Intelligent Management & Decis, Shenzhen, Peoples R ChinaShenzhen Univ, Coll Management, Shenzhen, Peoples R China
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
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.
机构:
Hong Kong Polytech Univ, Dept Ind & Syst Engn, State Key Lab Ultraprecis Machining Technol, Hung Hom,Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Ind & Syst Engn, State Key Lab Ultraprecis Machining Technol, Hung Hom,Kowloon, Hong Kong, Peoples R China
Yip, W. S.
To, S.
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机构:
Hong Kong Polytech Univ, Dept Ind & Syst Engn, State Key Lab Ultraprecis Machining Technol, Hung Hom,Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Ind & Syst Engn, State Key Lab Ultraprecis Machining Technol, Hung Hom,Kowloon, Hong Kong, Peoples R China