An emergy-based sustainability evaluation method for outsourcing machining resources

W. Cai, C. Liu (Corresponding Author), J. Shun, Tung Sun Chan, M. Ma, X. Ma

Research output: Journal article publicationJournal articleAcademic researchpeer-review

27 Citations (Scopus)


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.
Original languageEnglish
Article number118849
Pages (from-to)1-8
Number of pages8
JournalJournal of Cleaner Production
Publication statusPublished - 1 Feb 2020


  • Emergy
  • Outsourcing machining
  • Resource utilization efficiency
  • Sustainability evaluation

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • General Environmental Science
  • Strategy and Management
  • Industrial and Manufacturing Engineering


Dive into the research topics of 'An emergy-based sustainability evaluation method for outsourcing machining resources'. Together they form a unique fingerprint.

Cite this