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.
