1. Sustainable maintenance supplier performance evaluation based on an extend fuzzy PROMETHEE II approach in petrochemical industry
- Author
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Lizhong Tong, Ke Chen, Jiajia Yi, and Zhongmin Pu
- Subjects
Renewable Energy, Sustainability and the Environment ,business.industry ,Process (engineering) ,Computer science ,020209 energy ,Strategy and Management ,Scale (chemistry) ,05 social sciences ,Fuzzy set ,02 engineering and technology ,Fuzzy logic ,Industrial and Manufacturing Engineering ,Manufacturing engineering ,Outsourcing ,Petrochemical ,Operation safety ,Sustainability ,050501 criminology ,0202 electrical engineering, electronic engineering, information engineering ,business ,0505 law ,General Environmental Science - Abstract
Petrochemical industry is a high-pollution and high-risk industry. Under the trend of maintenance business outsourcing in petrochemical industry, the performance of maintenance suppliers is directly related to operation safety. Faced with large scale and varied capability of maintenance suppliers working in a dangerous environment with high temperature, high pressure and high explosivity, petrochemical companies need to evaluate the sustainability performance of maintenance suppliers with appropriate evaluation criteria and methods. However, few scholars focused on this problem of particular industries. Therefore, in this paper, a novel performance evaluation criteria framework of maintenance suppliers was formulated and an extended fuzzy PROMETHEE II method was proposed to assess their actual performance. Firstly, considering the lack of performance criteria in maintenance process of petrochemical firms, a sustainable supplier performance evaluation criteria framework was established from 3 dimensions, including basic aspect, processing aspect as well as sustainability aspect; Secondly, the fuzzy PROMETHEE II approach was presented by combining the fuzzy set theory with PROMETHEE II method; Finally, based on the case study of a Chinese petrochemical enterprise and sensitivity analysis of the decision framework, the effectiveness of the performance evaluation criteria and the applicability of the employed method were verified.
- Published
- 2020