Literature DB >> 32836618

Designing dynamic reverse logistics network for post-sale service.

Shraddha Mishra1, Surya Prakash Singh1.   

Abstract

The paper addresses the problem of designing a multi-country production-distribution network that also provides services such as repairs and remanufacturing. The proposed work concentrates primarily on post-sale service provided by the firm under warranty returns. The proposed model assumes that existing warehouses can also serve as collection centres or repair centres for reverse logistics. In addition, the model also explores the possibility of establishing a new facility. Hybrid facilities are considered because of their huge cost-cutting potential due to equipment sharing and space sharing. The capacity of hybrid facilities can be expanded to a predefined limit to process returned products without hampering forward logistics operations. However, if a product cannot be repaired at the warehouse, it is transported to the plant for remanufacturing. The model optimizes the overall configuration and operation cost of the production-distribution network. The production-distribution model developed in the paper is a mixed-integer nonlinear program (MINLP) that is later transformed to a mixed-integer linear program to reduce the solution time. The usefulness of the model is illustrated using a randomly generated dataset. The model identifies (a) the optimal locations/allocations of the existing/new facilities, (b) the distribution of returned products for refurbishing and remanufacturing, and (c) the capacity expansion of the existing plants and warehouses to facilitate remanufacturing and repair services. © Springer Science+Business Media, LLC, part of Springer Nature 2020.

Entities:  

Keywords:  Facility network; Mixed-integer nonlinear program (MINLP); Refurbishing; Remanufacturing

Year:  2020        PMID: 32836618      PMCID: PMC7340781          DOI: 10.1007/s10479-020-03710-9

Source DB:  PubMed          Journal:  Ann Oper Res        ISSN: 0254-5330            Impact factor:   4.820


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1.  Distribution network model using big data in an international environment.

Authors:  Shraddha Mishra; Surya Prakash Singh
Journal:  Sci Total Environ       Date:  2019-11-18       Impact factor: 7.963

2.  Viable supply chain model: integrating agility, resilience and sustainability perspectives-lessons from and thinking beyond the COVID-19 pandemic.

Authors:  Dmitry Ivanov
Journal:  Ann Oper Res       Date:  2020-05-22       Impact factor: 4.854

3.  Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case.

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Journal:  Transp Res E Logist Transp Rev       Date:  2020-03-24
  3 in total
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1.  A multi-objective optimization model for a multi-period mobile facility location problem with environmental and disruption considerations.

Authors:  Fouad Maliki; Mehdi Souier; Mohammed Dahane; Fouad Ben Abdelaziz
Journal:  Ann Oper Res       Date:  2022-09-08       Impact factor: 4.820

  1 in total

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