Multipolar Interval-Valued Neutrosophic Soft Set for Integrating Sustainability into Logistics: A Performance-Based Evaluation of Green Supply Chains

Abstract

Logistics companies are facing increasing pressure to implement sustainable practices 
as environmental issues across the world worsen. Through a thorough performance-based 
assessment of green supply chains, this research investigates how sustainability might be 
included into logistical operations. Eight important indicators were chosen using an evaluation 
framework to evaluate the operational and environmental performance of logistics companies. 
These indicators ranged from energy efficiency and carbon emissions reduction to green 
procurement and digital monitoring. As alternatives, ten typical logistics models and methods 
were chosen, each of which reflected a different level of sustainability integration. To evaluate 
and rank these models according to their green performance, the study uses both qualitative and 
quantitative data along with formal decision-making procedures. This study uses the Multipolar 
Interval-Valued Neutrosophic Soft Set to overcome uncertainty. Results show that investments in 
renewable energy, digital innovation, and circular logistics techniques greatly improve 
sustainability results. The study provides practical insights for industry stakeholders and 
policymakers dedicated to sustainable supply chain transformation, emphasizing the crucial role 
that strategic decision-making and policy alignment play in advancing eco-efficient logistics 
systems.

DOI: 10.5281/zenodo.16064425