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Joint Pricing and Inventory Model for Deteriorating Items with Maximum Lifetime and Controllable Carbon Emissions under Permissible Delay in Payments

Author

Listed:
  • Arash Sepehri

    (School of Industrial Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran)

  • Umakanta Mishra

    (Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632014, India)

  • Ming-Lang Tseng

    (Institute of Innovation and Circular Economy, Asia University, Taichung 41354, Taiwan)

  • Biswajit Sarkar

    (Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, Korea)

Abstract

Reducing carbon emissions plays a significant role in developing sustainable inventory systems. In a seller-buyer relationship, an allowable delay in payment is considered for the buyer to manage the stock and simulate the demand. Deteriorating items that usually have specific maximum lifetimes have become a challenge for most firms. Contrary to the importance of these issues, very little research has studied the impact of carbon emissions on deteriorating inventory systems. This paper provides a price-dependent demand for perishable items when carbon cap-and-trade regulation fills the mentioned gap. This model provides a carbon reduction investment scheme and illustrates this investment’s effect on the inventory system. This paper determines the optimal replenishment cycle and selling price, in which: (a) perishable items have specific maximum lifetimes, (b) a specific period of delay in payment is allowed for the buyer to accumulate revenue, (c) carbon is emitted due to ordering and storage operations and carbon cap and trade is regulated along with allowable carbon reduction investment. After developing the model, optimal values are obtained from necessary and sufficient conditions of optimality. Numerical experiments are proposed to validate the model. By developing an algorithm, the optimal values of replenishment cycle, selling price, and carbon reduction technology investment are obtained, and the impact of carbon emissions and efforts to control emissions are outlined. Finally, some managerial applications are mentioned, and future research directions are exposed.

Suggested Citation

  • Arash Sepehri & Umakanta Mishra & Ming-Lang Tseng & Biswajit Sarkar, 2021. "Joint Pricing and Inventory Model for Deteriorating Items with Maximum Lifetime and Controllable Carbon Emissions under Permissible Delay in Payments," Mathematics, MDPI, vol. 9(5), pages 1-27, February.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:5:p:470-:d:505571
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    References listed on IDEAS

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    4. Saha, Subrata & Sarkar, Biswajit & Sarkar, Mitali, 2023. "Application of improved meta-heuristic algorithms for green preservation technology management to optimize dynamical investments and replenishment strategies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 209(C), pages 426-450.
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    6. Yasaman Mashayekhy & Amir Babaei & Xue-Ming Yuan & Anrong Xue, 2022. "Impact of Internet of Things (IoT) on Inventory Management: A Literature Survey," Logistics, MDPI, vol. 6(2), pages 1-19, May.

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