Effect of Green Supply Chain Practices on Sustainable Performance Indicators: a Fuzzy MADM Approach

Panpatil, Sarika Sahebrao; Prajapati, Himanshu; Kant, Ravi

doi:10.1007/s41660-022-00260-4

Process Integr Optim Sustain

2022

DOI: 10.1007/s41660-022-00260-4

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Effect of Green Supply Chain Practices on Sustainable Performance Indicators: a Fuzzy MADM Approach

Sarika Sahebrao Panpatil

Himanshu Prajapati

Ravi Kant

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Cited by 3 publications

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“…Some of the widely used representations of uncertainties are fuzzy sets (Zadeh 1965 ), Pythagorean fuzzy sets (Yager 2014 ), and neutrosophic sets (Smarandache 2006 ) where an element’s belongingness to a set is characterized in different ways. Recent work on addressing uncertainty using fuzzy set is determining the effects of green supply chain (GSC) practices on sustainable performance indicators (Panpatil et al 2022b ) and the development of a novel decision tool for identifying factors affecting climate change and the impact of urbanization on hydropower plants (Shil et al 2023 ). In this work, the subjective perspective of human judgment has been considered in developing the decision tool.…”

mentioning

confidence: 99%

Addressing Uncertainties in Planning Sustainable Systems Through Multi-criteria Decision Analysis (MCDA)

Tapia

Promentilla

Smarandache

2023

Process Integr Optim Sustain

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mentioning

confidence: 99%

Addressing Uncertainties in Planning Sustainable Systems Through Multi-criteria Decision Analysis (MCDA)

Tapia

Promentilla

Smarandache

2023

Process Integr Optim Sustain

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Green-Resilient Supplier Selection and Order Allocation Under Disruption by Utilizing Conditional Value at Risk: Mixed Response Strategies

Taghavi

Ghezavati

Bidhandi

et al. 2022

Process Integr Optim Sustain

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Two important decisions in supply chains and logistics systems design are the supplier selection and order allocation (SS&OA) problem and the vehicle routing problem (VRP). Supply disruption may reduce the capacity of suppliers, and the transportation network disruption may decrease the number of vehicles in the fleet and disrupt some routes. Also, increasing environmental regulations and environmental awareness makes companies pay more attention to green supply chain management (GSCM). In this paper, we integrate green and resilient supplier selection and order allocation decisions with vehicle routing decisions under disruption. We present a multiproduct two-stage risk-averse mixed-integer stochastic linear programming for the green and resilient supplier selection and order allocation integrated with vehicle routing (G&RSS&OA-V) problem. We consider resilient strategies before disruption, including multiple sourcing, supplier fortification, prepositioned inventory at the protected supplier, and contract with third-party logistics providers (3PLs). The objective function is to minimize the total mean-risk cost and the cost of greenhouse emissions. We use conditional value at risk (CVaR) as a risk measure to control the risk of worst-case cost. The most significant decisions of this model are the strategic decisions of determining the optimal suppliers and the operational decisions of vehicles routing under disruption simultaneously. Other decisions include determining which suppliers should be fortified, the amount to be transported to the hybrid manufacturing-distribution (HMD) center through the supplier or prepositioned emergency inventory, and the amount of lost sales. In order to validate the proposed model and its features, several numerical examples along with sensitivity analysis are performed by GAMS software, which shows the efficiency and application of the developed model, and some managerial insights are reported. The results of the sensitivity analysis show that as α increases from 0.1 to 0.9, the mean-CVaR objective function cost increases to 13.2%. As λ increases from 0.1 to 0.9, the mean-CVaR objective function cost increases to 35.6%. The increase of these two risk factors makes the proposed model more risk-averse. As the expected shortage cost increases by 150%, the mean-CVaR objective function cost increases to 36% while the amount of expected shortage decreases by 56%.

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Investigation and Assessment of the Barriers to Sustainable Manufacturing Adoption in the Indian Textile Industry

Chourasiya¹,

Pandey²,

Malviya³

2023

Process Integr Optim Sustain

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Effect of Green Supply Chain Practices on Sustainable Performance Indicators: a Fuzzy MADM Approach

Cited by 3 publications

References 82 publications

Addressing Uncertainties in Planning Sustainable Systems Through Multi-criteria Decision Analysis (MCDA)

Addressing Uncertainties in Planning Sustainable Systems Through Multi-criteria Decision Analysis (MCDA)

Green-Resilient Supplier Selection and Order Allocation Under Disruption by Utilizing Conditional Value at Risk: Mixed Response Strategies

Investigation and Assessment of the Barriers to Sustainable Manufacturing Adoption in the Indian Textile Industry

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