An emergy-based sustainability evaluation method for outsourcing machining resources

被引:27
作者
Cai, Wei [1 ]
Liu, Conghu [2 ,3 ]
Jia, Shun [4 ]
Chan, Felix T. S. [5 ]
Ma, Minda [6 ]
Ma, Xin [7 ]
机构
[1] Southwest Univ, Coll Engn & Technol, Chongqing 400715, Peoples R China
[2] Shanghai Jiao Tong Univ, Sino US Global Logist Inst, Shanghai 200030, Peoples R China
[3] Suzhou Univ, Sch Mech & Elect Engn, Suzhou 234000, Peoples R China
[4] Shandong Univ Sci & Technol, Dept Ind Engn, Qingdao 266590, Shandong, Peoples R China
[5] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Hung Hum, Hong Kong, Peoples R China
[6] Chongqing Univ, Sch Construct Management & Real Estate, Chongqing 400045, Peoples R China
[7] Southwest Univ Sci & Technol, Sch Sci, Mianyang 621000, Sichuan, Peoples R China
关键词
Sustainability evaluation; Resource utilization efficiency; Outsourcing machining; Emergy; MANUFACTURING-INDUSTRY; EMISSION-REDUCTION; STEEL PRODUCTION; SUPPLY CHAIN; SELECTION; DECISION; OPTIMIZATION; INNOVATION; FRAMEWORK; SYSTEM;
D O I
10.1016/j.jclepro.2019.118849
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Outsourcing has become an effective production and management measure to increase the resource utilization and production efficiency. However, performing a sustainability evaluation of the outsourcing faces some difficulties in constructing a unified dimensional evaluation model for integration of the quality, time, logistics cost and resources consumption. This paper proposes an emergy-based sustainability evaluation method for the outsourcing machining resources for improving resource utilization efficiency. Firstly, the scope and boundary are defined, and the processes of the method and preparation are illustrated. Then, emergy models for the sustainability evaluation that comprise production quality emergy, production time emergy, production logistics cost emergy and production resources consumption emergy models are established. An integrated assessment is performed to acquire a best plan of outsourcing machining, and the corresponding evaluation indicators can be determined. Finally, a case illustrates the practicability of the proposed method laying a foundation for sustainability evaluation and selection of the outsourcing machining resources. (C) 2019 Elsevier Ltd. All rights reserved.
引用
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页数:8
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