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      Permanent link:
      https://www.ias.ac.in/article/fulltext/sadh/046/0100

    • Keywords

       

      B2B e-commerce logistics; sustainable vehicle routing; multi-product; supplier selection; metaheuristics.

    • Abstract

       

      This paper investigates an integrated supplier selection, vehicle routing, and transportation problem with sustainability factors (like economical and environmental) for (B2B) e-commerce logistics network design, which supplies the multi-product order from the supplier node to the retailer node. In this, we have formulated a mixed-integer nonlinear programming (MINLP) model to minimize the total transportation cost, penalty cost due to late pickup and late delivery, and fuel consumption cost with the best possible supplier selection and find the route for delivery of an order batch. Two solution approaches, i.e., exact optimization using LINGO solver and meta-heuristics, i.e. Invasive Weed Optimization (IWO) and Simulated Annealing (SA) used to solve the proposed model. We have tested the model on 10 scenario (i.e. Small to large size problems) and computation experiments reveal that Simulated Annealing performs better than Invasive Weed Optimization. The study is expected to benefit E-commerce company and helps the manager in perspective of logistic service and supplier selection.

    • Author Affiliations

       

      DHIRENDRA PRAJAPATI1 FULI ZHOU2 MENGDI ZHANG3 H CHELLADURAI1 SAURABH PRATAP4

      1. Department of Mechanical Engineering, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India
      2. School of Economics and Management, Zhengzhou University of Light Industry, Zhengzhou, China
      3. School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, People’s Republic of China
      4. Department of Mechanical Engineering, Indian Institute of Technology (IIT BHU), Varanasi, India
    • Dates

       
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