AN OPTIMIZATED & CLOSED LOOP DECISION-MAKING FRAMEWORK FOR E-COMMERCE TEXTILE LEFTOVER

Abstract

As the e-commerce industry becomes increasingly competitive, there is a growing need for smoother and more sustainable integrated logistics frameworks that account for both environmental and managerial implications. There is a major environmental concern of textile leftovers too with significant contribution to waste, making their recycling a pressing issue for both the environment and business sustainability. The paper presents a two-stage integrated and optimized decision support framework designed to address the escalating complexities within textile leftover e-commerce supply chains, which are experiencing rapid growth. In the first stage of the proposed framework, supplier selection is accomplished using the Analytic Hierarchy Process (AHP), with cost, quality, and lead time as primary criteria. The second stage involves the development of a mixed-integer integrated optimization model with quality as the primary sorting criterion. A scenario-based analysis is utilized to validate the framework's effectiveness, demonstrating its potential to assist decision-makers in e-commerce firms in optimizing their logistics while efficiently utilizing textile leftovers as a primary input for business operations.