A Fuzzy Multiplicative Performance Indicator to Measure Circular Economy Efficiency

Mohamed El Alaoui

doi:10.33889/ijmems.2020.5.6.085

Abstract

In a world where the linear economy has already proven its limits. Sustainable development through circular economy becomes a necessity more than a choice. To verify the adequacy between a sustainable development objective and the related management of operations, a variety of performance indicators exist in the literature and an overall is required to ease comparisons. Here we use an extended fuzzy weighted product to avoid overvaluation of an indicator over the others. To handle qualitative aspects, fuzzy logic is used to shorten the gap between humans’ perception and machine language. These qualitative features require various evaluators to reduce bias. Thus, a coherence measure is adapted.

Highlights

Human impacts on earth have become so obvious since the Industrial Revolution that some scientists are talking about a new geological era called Anthropocene (Ellis, 2018)
The economic models used are based on consumption in a linear pattern; which consists of producing consumer goods from raw materials that will be discarded at the end of their life cycle; this model of thought including the entire supply chain and the related operations management, has to be replaced by a circular economy scheme
Performance Indicators In the 3Rs approach used in Geng et al (2012), the authors maintained that the Chinese Circular Economy (CE) indicators overvalued reuse and recycle over reduce

Summary

Introduction

Human impacts on earth have become so obvious since the Industrial Revolution that some scientists are talking about a new geological era called Anthropocene (Ellis, 2018). According to (EASAC, 2016) more than 300 Performance Indicators (PI) of circular economy exist. Trying to measure the overall performance, the economic aspect is carving the lion's share, which calls into question the whole process.

Results

Conclusion