Network design for resilience in supply chains using novel crazy elitist TLBO

Abstract

A resilient plant location model is proposed in this research and has been evaluated for a case problem. The model considers three major indicators of network resilience, viz. node density, node complexity and node criticality. A resilient design could ensure for cost efficiency, apart from that the likelihood of potential disruptions due to bottlenecks could be minimized. The results were optimized using a novel crazy elitist TLBO algorithm. The algorithm has been presented to solve the case problem and has been pretested for a constrained and unconstrained test function. A multi-objective decision-making model has been constructed with the flow of products as variables and was effectively solved using the meta-heuristic. The solution to the case brings insights into the design of supply network for resilience, and the managers are recommended to incorporate the concepts of resilience from the design phase itself.

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Appendix

Appendix

Annexure 1: Recent literature on network design and supply chains

Sl. no. Author(s) Nature of work Remarks/findings
1. [67] Green supply network design for stochastic demand was proposed Supply network configuration was found to be highly sensitive to the probability distribution of the carbon credit price
2. [21] A review on network design problems under uncertainty conditions is completed Existing optimization techniques for dealing with uncertainty were explored in terms of mathematical modeling and solution approaches
3. [31] A hybrid robust stochastic programming approach was used for network design An accelerated stochastic Benders decomposition algorithm was proposed
4. [72] Considered the design problem of a closed-loop supply chain considering various echelons of a supply chain Sustainability and green approaches were considered in the modeling and design of the network
5. [76] A fuzzy optimization model for carbon-efficient closed-loop supply chain network design was proposed Model was observed to be capable of controlling the network uncertainties
6. [22] Closed-loop supply chain network design problem that encompasses flows in both forward and reverse directions was considered Concluded that adjusting product flows to the tax rate can provide negligible benefits
7. [23] A mixed integer nonlinear programming model for multi-objective sustainable closed-loop supply chain network design problem was developed Efficiency and effectiveness of these algorithms were compared using Pareto optimal analyses
8. [50] An integrated mathematical programming model for multi-period, multi-product and capacitated closed-loop green supply chain was developed The model objective functions considered the minimization of economic cost and environmental emissions and maximization of customer satisfaction
9. [17] A tri-level programming model for the tire closed-loop supply chain was designed Four hybrid optimizers to improving the recent and old used meta-heuristics were developed
10. [27] A stochastic robust optimization to designing a closed-loop supply chain network was proposed Facility locations and transshipments in different disruption scenarios were optimized
11. [85] An integrated supply chain network design model was proposed that incorporates payment time Deferred payment time and its impacts on the associated decisions were examined analytically and numerically
12. [16] Closed-loop supply chain network design problem under hybrid uncertainty was proposed and solved Possibility theory and robust fuzzy stochastic programming approaches were employed

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Rajesh, R. Network design for resilience in supply chains using novel crazy elitist TLBO. Neural Comput & Applic 32, 7421–7437 (2020). https://doi.org/10.1007/s00521-019-04260-3

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Keywords

  • Supply network design
  • Resilience
  • Decision-making
  • TLBO