How to Measure Sustainability in the Supply Chain Design: An Integrated Proposal from an Extensive and Systematic Literature Review

被引:2
作者
Perez, Andrea Teresa Espinoza [1 ,2 ]
Vasquez, Oscar C. [1 ,2 ]
机构
[1] Univ Santiago Chile, Fac Engn, Program Dev Sustainable Prod Syst PDSPS, Santiago 9170124, Chile
[2] Univ Santiago Chile, Fac Engn, Dept Ind Engn, Santiago 9170124, Chile
关键词
supply chain design; sustainability; cluster analysis; aggregation criteria; systematic review; DECISION-SUPPORT-SYSTEM; GREENHOUSE-GAS EMISSIONS; MULTIOBJECTIVE OPTIMIZATION APPROACH; BENDERS DECOMPOSITION ALGORITHM; EXISTING PETROLEUM REFINERIES; VARIABLE NEIGHBORHOOD SEARCH; STOCHASTIC-PROGRAMMING MODEL; ANALYTIC HIERARCHY PROCESS; LIFE-CYCLE OPTIMIZATION; GAME-THEORETIC APPROACH;
D O I
10.3390/su15097138
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The increase in the world population and resource scarcity has led to the introduction of environmental concepts such as sustainability and sustainable supply chain design (SSCD). However, there is a lack of consensus among researchers on how to measure sustainability in SSCD. Therefore, the authors propose a novel approach to measuring sustainability in the context of SSCD by developing an integrated, tractable, and representative metrics framework. The methodology corresponds to a quantitative approach involving bibliographic examination and statistical techniques. First, the authors conducted a systematic literature review by formulating research questions and a search protocol, searched for relevant articles, and conducted a quality assessment on full-text reviews to obtain metrics for measuring sustainability in SSCD from the literature. Then, they defined aggregation criteria representing their inclusion relationship by merging associated metrics. The authors then used Cluster Analysis (CA), a multivariate statistical technique, for grouping the metrics. Consequently, twelve clusters were distinguished from 541 research articles, grouping 51 metrics from different sustainability dimensions. It shows the strong connection among the sustainability dimensions, i.e., they must be assessed holistically. Then, we proposed reducing the 51 metrics to 5 to evaluate sustainability in the SSCD, allowing us to focus on a reduced number of indicators.
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页数:57
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