Sustainability performance predictions in supply chains: grey and rough set theoretical approaches
- PDF / 1,390,213 Bytes
- 30 Pages / 439.37 x 666.142 pts Page_size
- 15 Downloads / 156 Views
Sustainability performance predictions in supply chains: grey and rough set theoretical approaches R. Rajesh1 Accepted: 15 October 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract It is crucial for any supply chains to measure and monitor the sustainability performance indicators across three dimensions such as; economic, environmental, and social, to achieving sustainable competitiveness. We formulate a periodic prediction model based on grey theory and rough set theory to evaluate and predict the sustainability performances of supply chains. Here, a grey theory based prediction model is used in the first stage to estimating the predictors of the firms’ sustainability indicators, based on their performances in the past. A second stage assessment involves the analysis of the same using a rough set based prediction method to validating the results. A case evaluation for assessing the practical implications of the proposed methodology is also elaborated in this research. From the study, managers are recommended to make use of these prediction models into their supply chains to predicting the sustainability performances of their supply chains and to improve their performance for future. Keywords Sustainability · Sustainable supply chains · Prediction models · Grey theory · Rough set theory
1 Introduction Sustainability and supply chains are the germane combination of research topic to practitioners of the past decade. Sustainability referred to as ‘the ability to be maintained at a certain level’, is a term originally used in the ecological perspective (Linton et al. 2007). And later on, the concept has been adopted for supply chain contexts that lead to the growth of sustainable supply chains. Many quantitative and qualitative works are available in literature for constructing, maintaining, and developing sustainable supply chains for future (Seuring and Müller 2008; Hassini et al. 2012). Environmental, social, and economic dimensions are the three aspects of sustainability measures of performances. According to a latest research by Fahimnia et al. (2015), the risks of not being sustainable, accounted as the sustainability risks has grown beyond boundaries and is considered to be the most important in the domain of
B 1
R. Rajesh [email protected]; [email protected] Management Division, ABV—Indian Institute of Information Technology and Management, Gwalior 474015, India
123
Annals of Operations Research
various risk clusters. Collaboration and symbiosis among industries and their supply chains can provide better sustainable value creating networks (Egilmez et al. 2014; Hervani et al. 2017). For early adopters and process innovators, sustainable supply chain offers significant competitive advantages. There is an increasing need of adoption of sustainable supply chain practices particularly for the developing economies (Witjes and Lozano 2016; Dubey et al. 2019). This is a resultant of the increasing environmental problems and societal issues from the wastes and emissions
Data Loading...
