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Supplier’s goal setting considering sustainability: An uncertain dynamic Data Envelopment Analysis based benchmarking model
Journal article   Peer reviewed

Supplier’s goal setting considering sustainability: An uncertain dynamic Data Envelopment Analysis based benchmarking model

Xiaoyang Zhou, Linzi Li, Haoyu Wen, Xin Tian, Shouyang Wang and Benjamin Lev
Information sciences, v 545, pp 44-64
04 Feb 2021
DOI: https://doi.org/10.1016/j.ins.2020.07.074
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Fuzzy data Goal setting Sustainability Uncertain dynamic DEA
•An uncertain dynamic goal setting process is introduced to provide implementable goal sequences.•Variables of economic-social-environmental sustainability are considered in goal setting.•Detailed information classification is conducted to make reasonable analysis.•More sensible goal sequence can be given by layering process and the measure of attractiveness and progress.•Numerical example is conducted to show the feasibility and efficacy of the proposed model. Because of the growing awareness of balancing the economy, the society and the environment, there has been an increased focus on goal setting under sustainable context. However, underperforming suppliers may set impractical goals that are difficult to achieve in the short term due to the poor information analysis, which could cause benchmarking difficulties. Therefore, rather than focusing on a single ultimate goal, this paper developed an implementable goal sequence for which a dynamic Data Envelopment Analysis based benchmarking model was developed as a multi-period process. The indicators that could not be directly measured using numerical values were incorporated into the model as fuzzy numbers, and based on efficiencies, the suppliers were divided into several layers. A method that identified supplier attractiveness and progress was then introduced to select the most appropriate goal in each layer for the goal sequence. A numerical example is provided that illustrated the feasibility and efficacy of the proposed method to successfully identify the inefficient suppliers and determine a goal sequence that had three attainable goals. The sensitivity analysis and comparisons revealed that the proposed model avoided selecting period-inefficient suppliers and provided a better benchmarking process.

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14 Record Views
10 citations in Web of Science
13 citations in Scopus

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UN Sustainable Development Goals (SDGs)

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#9 Industry, Innovation and Infrastructure

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Web of Science research areas
Computer Science, Information Systems
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