Green Supply Chain Performance Prediction Using a Bayesian Belief Network

Md. Rabbi, Syed Mithun Ali, Golam Kabir, Zuhayer Mahtab and Sanjoy Kumar Paul
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Md. Rabbi: Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh
Syed Mithun Ali: Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh
Golam Kabir: Industrial Systems Engineering, University of Regina, Regina, SK S4S 0A2, Canada
Zuhayer Mahtab: Department of Industrial and Production Engineering, Military Institute of Science and Technology, Dhaka-1216, Bangladesh
Sanjoy Kumar Paul: UTS Business School, University of Technology Sydney, Sydney, NSW 2007, Australia

Sustainability, 2020, vol. 12, issue 3, 1-19

Abstract: Green supply chain management (GSCM) has emerged as an important issue to lessen the impact of supply chain activities on the natural environment, as well as reduce waste and achieve sustainable growth of a company. To understand the effectiveness of GSCM, performance measurement of GSCM is a must. Monitoring and predicting green supply chain performance can result in improved decision-making capability for managers and decision-makers to achieve sustainable competitive advantage. This paper identifies and analyzes various green supply chain performance measures and indicators. A probabilistic model is proposed based on a Bayesian belief network (BBN) for predicting green supply chain performance. Eleven green supply chain performance indicators and two green supply chain performance measures are identified through an extensive literature review. Using a real-world case study of a manufacturing industry, the methodology of this model is illustrated. Sensitivity analysis is also performed to examine the relative sensitivity of green supply chain performance to each of the performance indicators. The outcome of this research is expected to help managers and practitioners of GSCM improve their decision-making capability, which ultimately results in improved overall organizational performance.

Keywords: green supply chain; performance measurement; Bayesian belief network; sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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