Forward and Reverse Logistics Network Design with Sustainability for New and Refurbished Products in E-commerce

Abstract

There has been an enormous growth in the availability of refurbished goods in the online marketplace. These days, consumers can buy either the new products or refurbished products based on their budget and individual preferences. As a result, e-commerce firms need to redesign their existing forward and reverse logistics networks while focusing on supply chain sustainability. This paper proposes a novel forward and reverses logistics network design (FRLND) along with a consumer pickup and demand facility within the promised time window while addressing the complexities related to ecommerce platforms, suppliers, manufacturers, third-party logistics providers, retailers, and customer tiers. A mixedinteger non-linear programming (MINLP) model is developed to minimize the overall anticipated cost that consists of costs related to procurement, production, inventory holding, shortages, material for return units, recycling, repairing, disposal, and transportation cost, across the entire supply chain network. The problem under consideration is NP-hard in nature. The special challenges of the problem in consideration are to consider all pickup and distribution nodes of retailers/customers within the range of promising time horizons. For solution purposes, the Block-based Genetic Algorithm, Fruit-fly Algorithm, and CPLEX are used. Computational experiments show the comparative charts and trends that are put on to an extensive range of practical scenarios. The experiments reveal that the Genetic Algorithm performs well than the Fruit Fly algorithm in terms of rate of convergence and solution quality in all cases of interest. CPLEX solution provides the minimum optimal value.

Risk Management in Reverse Supply Chain for Sustainable Agri-food Industry: A Systematic Literature Review and Future Research Agenda

“…The proposed model integrates the Hybrid Fuzzy MILP approach with NSGA-II. Daultani et al (2022) used the MINLP (Mixed Integer Non-Linear Programming) approach to develop a sustainable Forward and Reverse Logistics Network Design for new and refurbished products. Meanwhile, Feitó-Cespón et al (2017) focused on constructing a product recycling supply chain using the SMO-MINLP (Sequential Multi-Objective Mixed Integer Non-Linear Programming) method.…”