用不精确的数据衡量回收生产系统的效率

IF 1.1 Q2 MATHEMATICS, APPLIED Numerical Algebra Control and Optimization Pub Date : 2022-01-01 DOI:10.3934/naco.2021052
Chengcheng Hu, Hsiao-Fan Wang, Tingyang Liu
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引用次数: 2

摘要

资源短缺和环境恶化促使世界范围内的资源可持续利用和环境保护。循环经济系统认为经济生产活动是一个闭环反馈循环,在这个循环中资源被可持续地和循环地使用。提高循环经济系统的生态效率既有理论价值,也有现实意义。本文提出了基于网络数据包络分析的不精确数据下循环经济系统效率测度模型。采用两级数学规划方法测量系统和过程效率。利用变换后的常规一级线性规划计算效率分数的下界和上界,使已有的求解方法得以应用。将该方法应用于欧盟国家循环经济体系的评价。研究结果表明,大多数国家在生产效率阶段和回收效率阶段的模糊效率差异较大,这揭示了导致循环经济系统效率低下的根源。
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Measuring efficiency of a recycling production system with imprecise data
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.
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来源期刊
CiteScore
3.10
自引率
0.00%
发文量
62
期刊介绍: Numerical Algebra, Control and Optimization (NACO) aims at publishing original papers on any non-trivial interplay between control and optimization, and numerical techniques for their underlying linear and nonlinear algebraic systems. Topics of interest to NACO include the following: original research in theory, algorithms and applications of optimization; numerical methods for linear and nonlinear algebraic systems arising in modelling, control and optimisation; and original theoretical and applied research and development in the control of systems including all facets of control theory and its applications. In the application areas, special interests are on artificial intelligence and data sciences. The journal also welcomes expository submissions on subjects of current relevance to readers of the journal. The publication of papers in NACO is free of charge.
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