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An EOQ inventory model for non-instantaneous deteriorating item with constant demand under progressive financial trade credit facility

Author

Listed:
  • Monalisha Tripathy

    (Banasthali Vidyapith)

  • Geetanjali Sharma

    (Banasthali Vidyapith)

  • Anuj Kumar Sharma

    (Shyam Lal College, University of Delhi)

Abstract

In this paper, the authors are considering an inventory model for non-instantaneous deteriorating items where progressive trade credit policy plays a major role. This model is developed in financial environment considering various realistic financial scenarios. The aim of this work is to develop a profit function by considering various situations depending on the trade credit period in economic environment. During this process, to illustrate the robustness of the model, a number of realistic cases, sub cases and scenarios are examined. An algorithm is established to obtain the average profit, the replenishment time and the optimal order quantity. A comprehensive sensitivity analysis has been performed on the optimal case, which is obtained by solving the hypothetical numerical examples.

Suggested Citation

  • Monalisha Tripathy & Geetanjali Sharma & Anuj Kumar Sharma, 2022. "An EOQ inventory model for non-instantaneous deteriorating item with constant demand under progressive financial trade credit facility," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1215-1243, December.
  • Handle: RePEc:spr:opsear:v:59:y:2022:i:4:d:10.1007_s12597-022-00573-5
    DOI: 10.1007/s12597-022-00573-5
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    References listed on IDEAS

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    1. Tiwari, Sunil & Cárdenas-Barrón, Leopoldo Eduardo & Goh, Mark & Shaikh, Ali Akbar, 2018. "Joint pricing and inventory model for deteriorating items with expiration dates and partial backlogging under two-level partial trade credits in supply chain," International Journal of Production Economics, Elsevier, vol. 200(C), pages 16-36.
    2. Longfei He & Han Gao & Xiao Zhang & Qinpeng Wang & Chenglin Hu, 2018. "Optimal Replenishment for Perishable Products with Inventory-Dependent Demand and Backlogging under Continuous and Discrete Progressive Payments," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    3. Maihami, Reza & Nakhai Kamalabadi, Isa, 2012. "Joint pricing and inventory control for non-instantaneous deteriorating items with partial backlogging and time and price dependent demand," International Journal of Production Economics, Elsevier, vol. 136(1), pages 116-122.
    4. Tiwari, Sunil & Jaggi, Chandra K. & Gupta, Mamta & Cárdenas-Barrón, Leopoldo Eduardo, 2018. "Optimal pricing and lot-sizing policy for supply chain system with deteriorating items under limited storage capacity," International Journal of Production Economics, Elsevier, vol. 200(C), pages 278-290.
    5. Cai, Jianhu & Hu, Xiaoqing & Tadikamalla, Pandu R. & Shang, Jennifer, 2017. "Flexible contract design for VMI supply chain with service-sensitive demand: Revenue-sharing and supplier subsidy," European Journal of Operational Research, Elsevier, vol. 261(1), pages 143-153.
    6. Huang, Yung-Fu, 2007. "Optimal retailer's replenishment decisions in the EPQ model under two levels of trade credit policy," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1577-1591, February.
    7. Janssen, Larissa & Claus, Thorsten & Sauer, Jürgen, 2016. "Literature review of deteriorating inventory models by key topics from 2012 to 2015," International Journal of Production Economics, Elsevier, vol. 182(C), pages 86-112.
    8. Pasandideh, Seyed Hamid Reza & Niaki, Seyed Taghi Akhavan & Nobil, Amir Hossein & Cárdenas-Barrón, Leopoldo Eduardo, 2015. "A multiproduct single machine economic production quantity model for an imperfect production system under warehouse construction cost," International Journal of Production Economics, Elsevier, vol. 169(C), pages 203-214.
    9. Anuj Kumar Sharma & Chandra K. Jaggi & Sunil Tiwari, 2017. "Optimal replenishment policy for price dependent demand in different financial scenario under fuzzy environment," International Journal of Inventory Research, Inderscience Enterprises Ltd, vol. 4(2/3), pages 103-131.
    10. Taleizadeh, Ata Allah & Pentico, David W. & Saeed Jabalameli, Mohammad & Aryanezhad, Mirbahador, 2013. "An EOQ model with partial delayed payment and partial backordering," Omega, Elsevier, vol. 41(2), pages 354-368.
    11. Bakker, Monique & Riezebos, Jan & Teunter, Ruud H., 2012. "Review of inventory systems with deterioration since 2001," European Journal of Operational Research, Elsevier, vol. 221(2), pages 275-284.
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