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

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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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  1. ABV-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior, India

    R. Rajesh

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Appendix

Appendix

1.1 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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