IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v17y2024i2d10.1007_s12063-023-00418-4.html
   My bibliography  Save this article

Mitigating the impact of demand disruption on perishable inventory in a two-warehouse system

Author

Listed:
  • Ranveer Singh Rana

    (National Institute of Technology Jamshedpur)

  • Dinesh Kumar

    (National Institute of Technology Jamshedpur)

  • Kanika Prasad

    (National Institute of Technology Jamshedpur)

  • K. Mathiyazhagan

    (Thiagarajar School of Management)

Abstract

There can be various causes of demand disruption like pandemic outbreaks, war situations, natural calamities, customer preference change, etc. Recently, the world witnessed one of the biggest disruptive events: the COVID-19 pandemic. Many times, when things seemed to be returning to normal, a new wave of pandemic arrived. Another disruptive event appeared in the form of Russia Ukraine war. As people avoid going out of their homes during such events, demand for a product is likely to go down. During the COVID-19 lockdown, demand for a normal product also vanished due to stringent rules imposed by the government. The novelty of the present work lies in collaborations of realistic aspects like demand disruption, both sudden fall and rise, time-dependent demand, stochastic two-parameter Weibull distribution deterioration rate, trade credit financing, and partial backlogged demand during stock out condition and also the validation of the model with real data sets in a two-warehouse inventory system, i.e., distributor possesses two warehouses one is owned by the distributor is called as an owned warehouse (OW) and another warehouse is hired on rent by the distributor called as a rented warehouse (RW). According to the author's knowledge, this work has not been completed previously. The proposed work determines an optimum lot size and optimum backlogged quantity to maximize profit under such a disruptive environment. According to the duration of the disruption, two distinct scenarios are developed to illustrate the impact of disruption duration on total average profit. The model is validated with numerical examples, and concavity is illustrated graphically. To derive critical theoretical managerial implications, a sensitivity analysis is conducted with respect to significant parameters. This study ends with a conclusion, followed by a discussion of the limitations of the current study and the potential directions for future research.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:opmare:v:17:y:2024:i:2:d:10.1007_s12063-023-00418-4
    DOI: 10.1007/s12063-023-00418-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-023-00418-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12063-023-00418-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. S. Panda & S. Saha & M. Basu, 2009. "An EOQ model for perishable products with discounted selling price and stock dependent demand," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 17(1), pages 31-53, March.
    2. Chandra K. Jaggi & K.K. Aggarwal & Mona Verma, 2012. "Optimal retailer's ordering policies under two-stage partial trade credit financing in a supply chain," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 10(3), pages 277-299.
    3. Umakanta Mishra & Leopoldo Eduardo Cárdenas-Barrón & Sunil Tiwari & Ali Akbar Shaikh & Gerardo Treviño-Garza, 2017. "An inventory model under price and stock dependent demand for controllable deterioration rate with shortages and preservation technology investment," Annals of Operations Research, Springer, vol. 254(1), pages 165-190, July.
    4. 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.
    5. Charles W. Haley & Robert C. Higgins, 1973. "Inventory Policy and Trade Credit Financing," Management Science, INFORMS, vol. 20(4-Part-I), pages 464-471, December.
    6. Lee, Chun Chen, 2006. "Two-warehouse inventory model with deterioration under FIFO dispatching policy," European Journal of Operational Research, Elsevier, vol. 174(2), pages 861-873, October.
    7. Qi, Lian, 2013. "A continuous-review inventory model with random disruptions at the primary supplier," European Journal of Operational Research, Elsevier, vol. 225(1), pages 59-74.
    8. Piramuthu, Selwyn & Zhou, Wei, 2013. "RFID and perishable inventory management with shelf-space and freshness dependent demand," International Journal of Production Economics, Elsevier, vol. 144(2), pages 635-640.
    9. Magfura Pervin & Sankar Kumar Roy & Gerhard-Wilhelm Weber, 2018. "Analysis of inventory control model with shortage under time-dependent demand and time-varying holding cost including stochastic deterioration," Annals of Operations Research, Springer, vol. 260(1), pages 437-460, January.
    10. Jill E. Hobbs, 2020. "Food supply chains during the COVID‐19 pandemic," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(2), pages 171-176, June.
    11. Jaggi, Chandra K. & Goyal, S.K. & Goel, S.K., 2008. "Retailer's optimal replenishment decisions with credit-linked demand under permissible delay in payments," European Journal of Operational Research, Elsevier, vol. 190(1), pages 130-135, October.
    12. Abad, P. L. & Jaggi, C. K., 2003. "A joint approach for setting unit price and the length of the credit period for a seller when end demand is price sensitive," International Journal of Production Economics, Elsevier, vol. 83(2), pages 115-122, February.
    13. S. Panda & S. Saha & M. Basu, 2013. "Optimal pricing and lot-sizing for perishable inventory with price and time dependent ramp-type demand," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(1), pages 127-138.
    14. Robert A. Davis & Norman Gaither, 1985. "Optimal Ordering Policies Under Conditions of Extended Payment Privileges," Management Science, INFORMS, vol. 31(4), pages 499-509, April.
    15. Krishna Prasad & Bani Mukherjee, 2016. "Optimal inventory model under stock and time dependent demand for time varying deterioration rate with shortages," Annals of Operations Research, Springer, vol. 243(1), pages 323-334, August.
    16. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    17. Nikolopoulos, Konstantinos & Punia, Sushil & Schäfers, Andreas & Tsinopoulos, Christos & Vasilakis, Chrysovalantis, 2021. "Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions," European Journal of Operational Research, Elsevier, vol. 290(1), pages 99-115.
    18. Md. Al-Amin Khan & Ali Akbar Shaikh & Gobinda Chandra Panda & Asoke Kumar Bhunia & Ioannis Konstantaras, 2020. "Non-instantaneous deterioration effect in ordering decisions for a two-warehouse inventory system under advance payment and backlogging," Annals of Operations Research, Springer, vol. 289(2), pages 243-275, June.
    19. Jaggi, C. K. & Aggarwal, S. P., 1994. "Credit financing in economic ordering policies of deteriorating items," International Journal of Production Economics, Elsevier, vol. 34(2), pages 151-155, March.
    20. Sawik, Tadeusz, 2011. "Selection of supply portfolio under disruption risks," Omega, Elsevier, vol. 39(2), pages 194-208, April.
    21. Song Xu & Xiaotong Zhang & Lipan Feng & Wenting Yang, 2020. "Disruption risks in supply chain management: a literature review based on bibliometric analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3508-3526, June.
    22. Wang, Xun & Disney, Stephen M., 2016. "The bullwhip effect: Progress, trends and directions," European Journal of Operational Research, Elsevier, vol. 250(3), pages 691-701.
    23. M. Palanivel & M. Suganya, 2022. "Partial backlogging inventory model with price and stock level dependent demand, time varying holding cost and quantity discounts," Journal of Management Analytics, Taylor & Francis Journals, vol. 9(1), pages 32-59, January.
    24. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    25. Ruibin Bai & Graham Kendall, 2008. "A Model for Fresh Produce Shelf-Space Allocation and Inventory Management with Freshness-Condition-Dependent Demand," INFORMS Journal on Computing, INFORMS, vol. 20(1), pages 78-85, February.
    26. Tiwari, Sunil & Cárdenas-Barrón, Leopoldo Eduardo & Khanna, Aditi & Jaggi, Chandra K., 2016. "Impact of trade credit and inflation on retailer's ordering policies for non-instantaneous deteriorating items in a two-warehouse environment," International Journal of Production Economics, Elsevier, vol. 176(C), pages 154-169.
    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.
    28. Luis Pedauga & Francisco Sáez & Blanca L. Delgado-Márquez, 2022. "Macroeconomic lockdown and SMEs: the impact of the COVID-19 pandemic in Spain," Small Business Economics, Springer, vol. 58(2), pages 665-688, February.
    29. Biswajit Sarkar & Sharmila Saren & Leopoldo Cárdenas-Barrón, 2015. "An inventory model with trade-credit policy and variable deterioration for fixed lifetime products," Annals of Operations Research, Springer, vol. 229(1), pages 677-702, June.
    30. Rong, M. & Mahapatra, N.K. & Maiti, M., 2008. "A two warehouse inventory model for a deteriorating item with partially/fully backlogged shortage and fuzzy lead time," European Journal of Operational Research, Elsevier, vol. 189(1), pages 59-75, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Kartick Dey & Debajyoti Chatterjee & Subrata Saha & Ilkyeong Moon, 2019. "Dynamic versus static rebates: an investigation on price, displayed stock level, and rebate-induced demand using a hybrid bat algorithm," Annals of Operations Research, Springer, vol. 279(1), pages 187-219, August.
    4. Aditi Khanna & Aakanksha Kishore & Biswajit Sarkar & Chandra K. Jaggi, 2018. "Supply Chain with Customer-Based Two-Level Credit Policies under an Imperfect Quality Environment," Mathematics, MDPI, vol. 6(12), pages 1-35, December.
    5. Bhunia, A.K. & Shaikh, Ali Akbar, 2015. "An application of PSO in a two-warehouse inventory model for deteriorating item under permissible delay in payment with different inventory policies," Applied Mathematics and Computation, Elsevier, vol. 256(C), pages 831-850.
    6. 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.
    7. Liao, Jui-Jung & Chung, Kun-Jen & Huang, Kuo-Nan, 2013. "A deterministic inventory model for deteriorating items with two warehouses and trade credit in a supply chain system," International Journal of Production Economics, Elsevier, vol. 146(2), pages 557-565.
    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. Luis A. San-José & Joaquín Sicilia & Manuel González-de-la-Rosa & Jaime Febles-Acosta, 2022. "Profit maximization in an inventory system with time-varying demand, partial backordering and discrete inventory cycle," Annals of Operations Research, Springer, vol. 316(2), pages 763-783, September.
    10. 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.
    11. Md. Tarek Chowdhury & Aditi Sarkar & Sanjoy Kumar Paul & Md. Abdul Moktadir, 2022. "A case study on strategies to deal with the impacts of COVID-19 pandemic in the food and beverage industry," Operations Management Research, Springer, vol. 15(1), pages 166-178, June.
    12. Chandra K. Jaggi & Sunil Tiwari & Satish K. Goel, 2017. "Credit financing in economic ordering policies for non-instantaneous deteriorating items with price dependent demand and two storage facilities," Annals of Operations Research, Springer, vol. 248(1), pages 253-280, January.
    13. Bhunia, A.K. & Jaggi, Chandra K. & Sharma, Anuj & Sharma, Ritu, 2014. "A two-warehouse inventory model for deteriorating items under permissible delay in payment with partial backlogging," Applied Mathematics and Computation, Elsevier, vol. 232(C), pages 1125-1137.
    14. Yue Xie & Allen H. Tai & Wai-Ki Ching & Yong-Hong Kuo & Na Song, 2021. "Joint inspection and inventory control for deteriorating items with time-dependent demand and deteriorating rate," Annals of Operations Research, Springer, vol. 300(1), pages 225-265, May.
    15. Hardik Soni & Nita H. Shah, 2008. "Optimal Ordering and Trade Credit Policy for EOQ Model," Indus Journal of Management & Social Science (IJMSS), Department of Business Administration, vol. 2(1), pages 66-76, June.
    16. Seifert, Daniel & Seifert, Ralf W. & Protopappa-Sieke, Margarita, 2013. "A review of trade credit literature: Opportunities for research in operations," European Journal of Operational Research, Elsevier, vol. 231(2), pages 245-256.
    17. Daniel Seifert & Ralf W. Seifert & Olov H.D. Isaksson, 2017. "A test of inventory models with permissible delay in payment," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 1117-1128, February.
    18. Beatriz Abdul-Jalbar & Roberto Dorta-Guerra & José M. Gutiérrez & Joaquín Sicilia, 2021. "Production/Inventory Policies for a Two-Echelon System with Credit Period Incentives," Mathematics, MDPI, vol. 9(15), pages 1-25, July.
    19. 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.
    20. Bandaly, Dia & Satir, Ahmet & Shanker, Latha, 2016. "Impact of lead time variability in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 180(C), pages 88-100.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:opmare:v:17:y:2024:i:2:d:10.1007_s12063-023-00418-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.