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Economic production quantity models for deteriorating items with up-stream full trade credit and down-stream partial trade credit

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  • Chen, Sheng-Chih
  • Teng, Jinn-Tsair
  • Skouri, Konstantina

Abstract

In practice, in order to reduce default risks with credit-risk customers, a seller (e.g., a manufacturer or a retailer) frequently requests its credit-risk customers to pay a fraction of the purchase amount at the time of placing an order as collateral deposit, and then grants a permissible delay on the outstanding balance (i.e., a down-stream partial trade credit). By contrast, the seller usually receives a permissible delay on the entire purchase amount from the supplier (i.e., an up-stream full trade credit). In this paper, we propose an economic production quantity (EPQ) model for deteriorating items in a supply chain with both up-stream and down-stream trade credit financing. By using fractional programming results, we can prove that the optimal solution not only exists but also is unique. Moreover, we propose three discrimination terms to identify the optimal solution among possible alternatives. Finally, some numerical examples are presented to highlight the theoretical results and managerial insights.

Suggested Citation

  • Chen, Sheng-Chih & Teng, Jinn-Tsair & Skouri, Konstantina, 2014. "Economic production quantity models for deteriorating items with up-stream full trade credit and down-stream partial trade credit," International Journal of Production Economics, Elsevier, vol. 155(C), pages 302-309.
  • Handle: RePEc:eee:proeco:v:155:y:2014:i:c:p:302-309
    DOI: 10.1016/j.ijpe.2013.07.024
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    References listed on IDEAS

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    1. Chern, Maw-Sheng & Pan, Qinhua & Teng, Jinn-Tsair & Chan, Ya-Lan & Chen, Sheng-Chih, 2013. "Stackelberg solution in a vendor–buyer supply chain model with permissible delay in payments," International Journal of Production Economics, Elsevier, vol. 144(1), pages 397-404.
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    Cited by:

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    4. Zhang, Qinhong & Dong, Ming & Luo, Jianwen & Segerstedt, Anders, 2014. "Supply chain coordination with trade credit and quantity discount incorporating default risk," International Journal of Production Economics, Elsevier, vol. 153(C), pages 352-360.
    5. Li, Ruihai & Skouri, Konstantina & Teng, Jinn-Tsair & Yang, Wen-Goang, 2018. "Seller's optimal replenishment policy and payment term among advance, cash, and credit payments," International Journal of Production Economics, Elsevier, vol. 197(C), pages 35-42.
    6. Chen, Sheng-Chih & Teng, Jinn-Tsair, 2015. "Inventory and credit decisions for time-varying deteriorating items with up-stream and down-stream trade credit financing by discounted cash flow analysis," European Journal of Operational Research, Elsevier, vol. 243(2), pages 566-575.
    7. Castellano, Davide & Glock, Christoph H., 2024. "Economic production quantity for a decaying item with stochastic demand and positive lead time," International Journal of Production Economics, Elsevier, vol. 267(C).
    8. Chuan Zhang & Yu-xin Tian & Ling-wei Fan & Shu-min Yang, 2021. "Optimal ordering policy for a retailer with consideration of customer credit under two-level trade credit financing," Operational Research, Springer, vol. 21(4), pages 2409-2432, December.
    9. Xu, Xinhan & Chen, Xiangfeng & Jia, Fu & Brown, Steve & Gong, Yu & Xu, Yifan, 2018. "Supply chain finance: A systematic literature review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 204(C), pages 160-173.
    10. Zhen, Zhiyuan & Jiang, Lan & Yan, Qiang, 2024. "The evolution of portfolio financing equilibrium in a risk-averse supply chain under a partial trade credit policy," Finance Research Letters, Elsevier, vol. 62(PA).
    11. Johari, Maryam & Hosseini-Motlagh, Seyyed-Mahdi & Nematollahi, Mohammadreza & Goh, Mark & Ignatius, Joshua, 2018. "Bi-level credit period coordination for periodic review inventory system with price-credit dependent demand under time value of money," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 270-291.
    12. Chaudhari, Urmila & Bhadoriya, Amrita & Jani, Mrudul Y. & Sarkar, Biswajit, 2023. "A generalized payment policy for deteriorating items when demand depends on price, stock, and advertisement under carbon tax regulations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 207(C), pages 556-574.
    13. Leyla Aliabadi & Seyed Hessameddin Zegordi & Ali Husseinzadeh Kashan & Mohammad Ali Rastegar, 2024. "A sustainable supply chain model for time-varying deteriorating items under the promotional cost-sharing policy and three-level trade credit financing," Operational Research, Springer, vol. 24(2), pages 1-59, June.
    14. Feng, Lin & Wang, Wan-Chih & Teng, Jinn-Tsair & Cárdenas-Barrón, Leopoldo Eduardo, 2022. "Pricing and lot-sizing decision for fresh goods when demand depends on unit price, displaying stocks and product age under generalized payments," European Journal of Operational Research, Elsevier, vol. 296(3), pages 940-952.
    15. Wu, Jiang & Al-khateeb, Faisal B. & Teng, Jinn-Tsair & Cárdenas-Barrón, Leopoldo Eduardo, 2016. "Inventory models for deteriorating items with maximum lifetime under downstream partial trade credits to credit-risk customers by discounted cash-flow analysis," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 105-115.
    16. Nita Shah & Monika Naik, 2019. "Coordinated production, ordering, shipment and pricing model for supplier-retailer inventory system under trade credit," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(2), pages 55-76.
    17. Feng, Lin & Chan, Ya-Lan, 2019. "Joint pricing and production decisions for new products with learning curve effects under upstream and downstream trade credits," European Journal of Operational Research, Elsevier, vol. 272(3), pages 905-913.
    18. Juanjuan Qin & Aina Zhang & Liangjie Xia & Mengqi Liu, 2017. "Retail Order-Taking Strategies Under Competing Trade Credit Policies With Varying Demands," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-17, February.

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