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A production supply chain inventory model with queuing application and carbon emissions under learning effect

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Abstract

Nowadays, a popular term related to production inventory optimization for the greening effect and other policies is carbon emissions tax. Present paper deals with the application of queuing in supply chain management where demand is stochastic and involves carbon emissions and the learning effect. In the final, we have minimized the total inventory cost under queuing application for the supply chain management, where the learning effect follows simultaneous ordering cost, while demand is probabilistic. Numerical examples have been verified for the model, and sensitivity analysis of inventory parameters has been taken for good utilizations in various industrial scenarios.

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Acknowledgements

The authors would like to thank the editor and the anonymous referees for their helpful remarks and recommendations in enhancing the paper.

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Correspondence to Geetanjali Sharma.

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Pandey, J.D., Sharma, G. A production supply chain inventory model with queuing application and carbon emissions under learning effect. OPSEARCH (2023). https://doi.org/10.1007/s12597-023-00710-8

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