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A critical analysis of sustainable micro-manufacturing from the perspective of the triple bottom line: A social network analysis
Institution:1. State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou, China;2. Guangdong Provincial Key Laboratory of Micro-Nano Manufacturing Technology and Equipment, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China;3. State Key Laboratory in Ultra-precision Machining Technology, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong;1. Research Institute for Sustainable Urban Development, The Hong Kong Polytechnic University, Hong Kong, China;2. School of Architecture & Built Environment, Queensland University of Technology, Brisbane 4001, Australia;3. School of Science and Technology, The Open University of Hong Kong, Hong Kong, China;4. Dept of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China;1. Institute of Semiconductor Manufacturing Research, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, Guangdong, China;2. State Key Laboratory of Ultra-precision Machining Technology, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China;3. College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, Guangdong, China
Abstract:Nowadays, substantial improvements in sustainable micro-manufacturing are explicitly addressed based on the triple bottom line (TBL) concept. However, strong criticisms are leveled for the applications of TBL as immense complexities of inner relationships of items and dimensional relationships within TBL, which they cause an inefficacy of accessing critical information in introducing the TBL concept to sustainable micro-manufacturing. In this study, social network analysis (SNA) is used for developing a TBL network of sustainable micro-manufacturing to find out precise meanings of individual items of various dimensions of TBL and the relationships between them. The main metrics of the dominant items of TBL such as in-degree, out-degree, betweenness centrality and closeness centrality are detailly discussed with 16 nodes for three dimensions in the TBL networks. The related findings are further analyzed to reveal the current situation, technical gaps and chances for the sustainable development of the micro-manufacturing sector. This study aims to reveal the relationship between the items of TBL of micro-manufacturing, and delivers the significant roles of the items of TBL according to the findings of metrics and visual analyses for sustainable micro-manufacturing, supporting micro-manufacturing sectors to implement effective sustainable strategies for production activities.
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