Open AccessMeasuring efficiency of a recycling production system with imprecise data
Author(s) -
Cheng-Feng Hu,
HsiaoFan Wang,
Tingyang Liu
Publication year - 2022
Publication title -
numerical algebra, control and optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.303
H-Index - 20
eISSN - 2155-3289
pISSN - 2155-3297
DOI - 10.3934/naco.2021052
Subject(s) - circular economy , data envelopment analysis , sustainability , resource efficiency , eco efficiency , production (economics) , work (physics) , scarcity , mathematical optimization , process (computing) , fuzzy logic , computer science , environmental economics , economics , mathematics , engineering , microeconomics , mechanical engineering , ecology , artificial intelligence , biology , operating system
Resources scarcity and environmental degradation have made sustainable resource utilization and environmental protection worldwide. A circular economy system considers economic production activities as closed-loop feedback cycles in which resources are used sustainably and cyclically. Improving the eco-efficiency of the circular economy system has both theoretical value and practical meaning. In this work, the efficiency measurement model of the circular economy system with imprecise data based on network data envelopment analysis is proposed. The two-level mathematical programming approach is employed for measuring the system and process efficiencies. The lower and upper bounds of the efficiencies scores are calculated by transformed conventional one-level linear programs so that the existing solution methods can be applied. The proposed method is applied to assess the circular economy system of EU countries. Our results show that most countries have large difference among fuzzy efficiencies between the production efficiency and recycling efficiency stages, which reveals the source that causes the low efficiency of the circular economy system.