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Collaboration Policy for Two-Echelon Green Industrial Supply Chain with Carbon Emissions Using Particle Swarm Optimization

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Abstract

We develop a two-echelon supply chain inventory model with emission, isoelastic demand and multiple shipment policy. The quality of the manufactured items affects the production rate. Depending upon the production rate, a certain amount of the lot produced contains defective items. The numerical simulation and cost optimization via Particle Swarm Optimization (PSO) have been done to facilitate the valuable insights of optimal investment in green technology to reduce the carbon emissions.

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Acknowledgements

The authors would like to thank the editor-in-chief and anonymous reviewers for their helpful comments.

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Authors and Affiliations

  1. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247667, India

    Nidhi Sharma & Madhu Jain

  2. Department of Business, Management and Accounting, University of Maryland Eastern Shore, Princess Anne, MD, 21853, USA

    Dinesh Sharma

Authors
  1. Nidhi Sharma
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  2. Madhu Jain
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  3. Dinesh Sharma
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Correspondence to Madhu Jain.

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Sharma, N., Jain, M. & Sharma, D. Collaboration Policy for Two-Echelon Green Industrial Supply Chain with Carbon Emissions Using Particle Swarm Optimization. Natl. Acad. Sci. Lett. (2023). https://doi.org/10.1007/s40009-023-01368-y

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  • DOI: https://doi.org/10.1007/s40009-023-01368-y

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