IDEAS home Printed from https://ideas.repec.org/r/eee/proeco/v176y2016icp154-169.html
   My bibliography  Save this item

Impact of trade credit and inflation on retailer's ordering policies for non-instantaneous deteriorating items in a two-warehouse environment

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Mrudul Y. Jani & Heta A. Patel & Amrita Bhadoriya & Urmila Chaudhari & Mohamed Abbas & Malak S. Alqahtani, 2023. "Deterioration Control Decision Support System for the Retailer during Availability of Trade Credit and Shortages," Mathematics, MDPI, vol. 11(3), pages 1-27, January.
  2. 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.
  3. Mamta Gupta & Sunil Tiwari & Chandra K. Jaggi, 2020. "Retailer’s ordering policies for time-varying deteriorating items with partial backlogging and permissible delay in payments in a two-warehouse environment," Annals of Operations Research, Springer, vol. 295(1), pages 139-161, December.
  4. Rajan Mondal & Subhajit Das & Md Akhtar & Ali Akbar Shaikh & Asoke Kumar Bhunia, 2024. "A two-warehouse inventory model for deteriorating items with partially backlogged demand rate under trade credit policies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(7), pages 3350-3367, July.
  5. Chan, Chi Kin & Wong, Wai Him & Langevin, A. & Lee, Y.C.E., 2017. "An integrated production-inventory model for deteriorating items with consideration of optimal production rate and deterioration during delivery," International Journal of Production Economics, Elsevier, vol. 189(C), pages 1-13.
  6. Khan, Md. Al-Amin & Shaikh, Ali Akbar & Cárdenas-Barrón, Leopoldo Eduardo, 2021. "An inventory model under linked-to-order hybrid partial advance payment, partial credit policy, all-units discount and partial backlogging with capacity constraint," Omega, Elsevier, vol. 103(C).
  7. Wang, Chengfu & Fan, Xiaojun & Yin, Zhe, 2019. "Financing online retailers: Bank vs. electronic business platform, equilibrium, and coordinating strategy," European Journal of Operational Research, Elsevier, vol. 276(1), pages 343-356.
  8. Chandra K. Jaggi & Mamta Gupta & Amrina Kausar & Sunil Tiwari, 2019. "Inventory and credit decisions for deteriorating items with displayed stock dependent demand in two-echelon supply chain using Stackelberg and Nash equilibrium solution," Annals of Operations Research, Springer, vol. 274(1), pages 309-329, March.
  9. Li, Guiping & He, Xiuli & Zhou, Jing & Wu, Hao, 2019. "Pricing, replenishment and preservation technology investment decisions for non-instantaneous deteriorating items," Omega, Elsevier, vol. 84(C), pages 114-126.
  10. Sarkar, Mitali & Ganguly, Baishakhi & Dem, Himani & Pramanik, Moumita & Sarkar, Biswajit & Bar, Nilkamal & Pareek, Sarla & Cárdenas-Barrón, Leopoldo Eduardo, 2024. "Risk due to insufficient retail service management considering satisfaction level for distributor and consumer," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
  11. 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).
  12. Osama Abdulaziz Alamri, 2023. "A Supply Chain Model with Carbon Emissions and Preservation Technology for Deteriorating Items under Trade Credit Policy and Learning in Fuzzy," Mathematics, MDPI, vol. 11(13), pages 1-58, June.
  13. 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.
  14. Hui-Ling Yang & Chun-Tao Chang & Yao-Ting Tseng, 2024. "Optimal Replenishment Strategy for a High-Tech Product Demand with Non-Instantaneous Deterioration under an Advance-Cash-Credit Payment Scheme by a Discounted Cash-Flow Analysis," Mathematics, MDPI, vol. 12(19), pages 1-25, October.
  15. Wang, Chengfu & Chen, Xiangfeng & Jin, Wei & Fan, Xiaojun, 2022. "Credit guarantee types for financing retailers through online peer-to-peer lending: Equilibrium and coordinating strategy," European Journal of Operational Research, Elsevier, vol. 297(1), pages 380-392.
  16. Ranveer Singh Rana & Dinesh Kumar & Kanika Prasad & K. Mathiyazhagan, 2024. "Mitigating the impact of demand disruption on perishable inventory in a two-warehouse system," Operations Management Research, Springer, vol. 17(2), pages 469-504, June.
  17. Rabin Kumar Mallick & Kartik Patra & Shyamal Kumar Mondal, 2020. "Mixture inventory model of lost sale and back-order with stochastic lead time demand on permissible delay in payments," Annals of Operations Research, Springer, vol. 292(1), pages 341-369, September.
  18. Chandan Mahato & Gour Chandra Mahata, 2023. "Sustainable partial backordering inventory model under linked-to-order credit policy and all-units discount with capacity constraint and carbon emissions," Flexible Services and Manufacturing Journal, Springer, vol. 35(3), pages 896-944, September.
  19. Mrudul Y. Jani & Manish R. Betheja & Urmila Chaudhari & Biswajit Sarkar, 2023. "Effect of Future Price Increase for Products with Expiry Dates and Price-Sensitive Demand under Different Payment Policies," Mathematics, MDPI, vol. 11(2), pages 1-31, January.
  20. Yang, Ya & Chi, Huihui & Tang, Ou & Zhou, Wei & Fan, Tijun, 2019. "Cross perishable effect on optimal inventory preservation control," European Journal of Operational Research, Elsevier, vol. 276(3), pages 998-1012.
  21. Yu, Jonas C.P., 2019. "Optimizing a two-warehouse system under shortage backordering, trade credit, and decreasing rental conditions," International Journal of Production Economics, Elsevier, vol. 209(C), pages 147-155.
  22. Sunil Tiwari & Chandra K. Jaggi & Asoke Kumar Bhunia & Ali Akbar Shaikh & Mark Goh, 2017. "Two-warehouse inventory model for non-instantaneous deteriorating items with stock-dependent demand and inflation using particle swarm optimization," Annals of Operations Research, Springer, vol. 254(1), pages 401-423, July.
  23. Surendra Vikram Singh Padiyar & Vandana & Shiv Raj Singh & Dipti Singh & Mitali Sarkar & Bikash Koli Dey & Biswajit Sarkar, 2022. "Three-Echelon Supply Chain Management with Deteriorated Products under the Effect of Inflation," Mathematics, MDPI, vol. 11(1), pages 1-19, December.
  24. Alım, Muzaffer & Beullens, Patrick, 2020. "Joint inventory and distribution strategy for online sales with a flexible delivery option," International Journal of Production Economics, Elsevier, vol. 222(C).
  25. Mahesh Kumar Jayaswal & Mandeep Mittal & Isha Sangal, 2021. "Ordering policies for deteriorating imperfect quality items with trade-credit financing under learning effect," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(1), pages 112-125, February.
  26. Vandana & A. K. Das, 2022. "Two-warehouse supply chain model under preservation technology and stochastic demand with shortages," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1587-1612, December.
  27. Ranveer Singh Rana & Dinesh Kumar & Kanika Prasad, 2022. "Two warehouse dispatching policies for perishable items with freshness efforts, inflationary conditions and partial backlogging," Operations Management Research, Springer, vol. 15(1), pages 28-45, June.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.