IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i12p5004-d373419.html
   My bibliography  Save this article

Managing a Sustainable and Resilient Perishable Food Supply Chain (PFSC) after an Outbreak

Author

Listed:
  • Quan Zhu

    (Sustainable International Business, International Business School Maastricht, Zuyd University of Applied Sciences, 6217 HB Maastricht, The Netherlands)

  • Harold Krikke

    (Faculty of Management, Open University of the Netherlands, 6419 AT Heerlen, The Netherlands)

Abstract

It is a challenging task to manage a perishable food supply chain (PFSC), due to the product’s short lifetime and to demand uncertainty. Even worse is the fact that, because of the multitude of participating stakeholders in production, distribution, and retailing, the PFSC becomes complex and thus particularly vulnerable to crises. Product shortages that result from an outbreak like COVID-19 often cause customers to seek alternative sources of supply, possibly with a larger purchasing amount (i.e., hoarding), leading to even severer demand uncertainty after the shortage period. To manage a sustainable and resilient PFSC after an outbreak, supply chain partners need to share and use the right information to facilitate decision making. A system dynamics simulation was thus applied to study a cheese supply chain with three tiers. Three scenarios that cause product shortages were simulated. Seven balanced feedback loops and two reinforced feedback loops were identified from the simulation model. Through the feedback loop dominance analysis, we identified four dominant loops that facilitate the generation of endogenous demand. In order to alleviate the negative influence of endogenous demand, it is suggested that the information sharing that causes endogenous demand be stopped and a loosely coupled strategy to support decision making utilized.

Suggested Citation

  • Quan Zhu & Harold Krikke, 2020. "Managing a Sustainable and Resilient Perishable Food Supply Chain (PFSC) after an Outbreak," Sustainability, MDPI, vol. 12(12), pages 1-11, June.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:5004-:d:373419
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/12/5004/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/12/5004/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tuomikangas, Nina & Kaipia, Riikka, 2014. "A coordination framework for sales and operations planning (S&OP): Synthesis from the literature," International Journal of Production Economics, Elsevier, vol. 154(C), pages 243-262.
    2. Shuai Yang & Yujie Xiao & Yong-Hong Kuo, 2017. "The Supply Chain Design for Perishable Food with Stochastic Demand," Sustainability, MDPI, vol. 9(7), pages 1-12, July.
    3. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    4. Christine Göbel & Nina Langen & Antonia Blumenthal & Petra Teitscheid & Guido Ritter, 2015. "Cutting Food Waste through Cooperation along the Food Supply Chain," Sustainability, MDPI, vol. 7(2), pages 1-17, January.
    5. Sebastian Kot, 2018. "Sustainable Supply Chain Management in Small and Medium Enterprises," Sustainability, MDPI, vol. 10(4), pages 1-19, April.
    6. Kamath, Narasimha B. & Roy, Rahul, 2007. "Capacity augmentation of a supply chain for a short lifecycle product: A system dynamics framework," European Journal of Operational Research, Elsevier, vol. 179(2), pages 334-351, June.
    7. 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.
    8. Revilla, Elena & Sáenz, María Jesús, 2014. "Supply chain disruption management: Global convergence vs national specificity," Journal of Business Research, Elsevier, vol. 67(6), pages 1123-1135.
    9. Olhager, Jan & Rudberg, Martin & Wikner, Joakim, 2001. "Long-term capacity management: Linking the perspectives from manufacturing strategy and sales and operations planning," International Journal of Production Economics, Elsevier, vol. 69(2), pages 215-225, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Chowdhury, Priyabrata & Paul, Sanjoy Kumar & Kaisar, Shahriar & Moktadir, Md. Abdul, 2021. "COVID-19 pandemic related supply chain studies: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    2. Ardekani, Zahra Fozouni & Sobhani, Seyed Mohammad Javad & Barbosa, Marcelo Werneck & de Sousa, Paulo Renato, 2023. "Transition to a sustainable food supply chain during disruptions: A study on the Brazilian food companies in the Covid-19 era," International Journal of Production Economics, Elsevier, vol. 257(C).
    3. Yazdani, Morteza & Torkayesh, Ali Ebadi & Chatterjee, Prasenjit & Fallahpour, Alireza & Montero-Simo, Maria Jose & Araque-Padilla, Rafael A. & Wong, Kuan Yew, 2022. "A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).

    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. Pastore, Erica & Alfieri, Arianna & Zotteri, Giulio, 2019. "An empirical investigation on the antecedents of the bullwhip effect: Evidence from the spare parts industry," International Journal of Production Economics, Elsevier, vol. 209(C), pages 121-133.
    2. Unai Apaolaza & Aitor Orue & Aitor Lizarralde & Aitor Oyarbide-Zubillaga, 2022. "Competitive Improvement through Integrated Management of Sales and Operations," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    3. Ma, Yungao & Wang, Nengmin & He, Zhengwen & Lu, Jizhou & Liang, Huigang, 2015. "Analysis of the bullwhip effect in two parallel supply chains with interacting price-sensitive demands," European Journal of Operational Research, Elsevier, vol. 243(3), pages 815-825.
    4. Ananth V. Iyer & Apurva Jain, 2003. "The Logistics Impact of a Mixture of Order-Streams in a Manufacturer-Retailer System," Management Science, INFORMS, vol. 49(7), pages 890-906, July.
    5. Li Chen & Hau L. Lee, 2012. "Bullwhip Effect Measurement and Its Implications," Operations Research, INFORMS, vol. 60(4), pages 771-784, August.
    6. Zhang, Xiaolong & Burke, Gerard J., 2011. "Analysis of compound bullwhip effect causes," European Journal of Operational Research, Elsevier, vol. 210(3), pages 514-526, May.
    7. Zhao, Xiande & Xie, Jinxing & Leung, Janny, 2002. "The impact of forecasting model selection on the value of information sharing in a supply chain," European Journal of Operational Research, Elsevier, vol. 142(2), pages 321-344, October.
    8. Hancock, Mary Everett & Mora, Jesse, 2023. "The Impact of COVID-19 on Chinese trade and production: An empirical analysis of processing trade with Japan and the US," Journal of Asian Economics, Elsevier, vol. 86(C).
    9. Jaksic, Marko & Rusjan, Borut, 2008. "The effect of replenishment policies on the bullwhip effect: A transfer function approach," European Journal of Operational Research, Elsevier, vol. 184(3), pages 946-961, February.
    10. Van Belle, Jente & Guns, Tias & Verbeke, Wouter, 2021. "Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains," European Journal of Operational Research, Elsevier, vol. 288(2), pages 466-479.
    11. Chandra, Charu & Grabis, Janis, 2005. "Application of multi-steps forecasting for restraining the bullwhip effect and improving inventory performance under autoregressive demand," European Journal of Operational Research, Elsevier, vol. 166(2), pages 337-350, October.
    12. Goh, Shao Hung & Eldridge, Stephen, 2019. "Sales and Operations Planning: The effect of coordination mechanisms on supply chain performance," International Journal of Production Economics, Elsevier, vol. 214(C), pages 80-94.
    13. Hiroko Nakamura & Shinji Suzuki & Tomobe Hironori & Yuya Kajikawa & Ichiro Sakata, 2011. "Citation lag analysis in supply chain research," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 221-232, May.
    14. Ouyang, Yanfeng & Daganzo, Carlos, 2008. "Robust tests for the bullwhip effect in supply chains with stochastic dynamics," European Journal of Operational Research, Elsevier, vol. 185(1), pages 340-353, February.
    15. Pero, Margherita & Rossi, Tommaso & Noé, Carlo & Sianesi, Andrea, 2010. "An exploratory study of the relation between supply chain topological features and supply chain performance," International Journal of Production Economics, Elsevier, vol. 123(2), pages 266-278, February.
    16. Syntetos, Aris A. & Boylan, John E., 2010. "On the variance of intermittent demand estimates," International Journal of Production Economics, Elsevier, vol. 128(2), pages 546-555, December.
    17. Ciancimino, Elena & Cannella, Salvatore & Canca Ortiz, José David & Framiñán Torres, José Manuel, 2009. "Análisis multinivel de cadenas de suministros: dos técnicas de resolución del efecto bullwhip // Supply Chain Multi-level Analysis: Two Bullwhip Dampening Approaches," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 8(1), pages 7-28, December.
    18. Yu, Yugang & Luo, Yifei & Shi, Ye, 2022. "Adoption of blockchain technology in a two-stage supply chain: Spillover effect on workforce," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    19. Muhammad Usman Ahmed & Mark Pagell & Mehmet Murat Kristal & Thomas F. Gattiker, 2019. "Micro-Foundations of Supply Chain Integration: An Activity-Based Analysis," Logistics, MDPI, vol. 3(2), pages 1-17, March.
    20. Naim, M.M., 2006. "The impact of the net present value on the assessment of the dynamic performance of e-commerce enabled supply chains," International Journal of Production Economics, Elsevier, vol. 104(2), pages 382-393, December.

    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:gam:jsusta:v:12:y:2020:i:12:p:5004-:d:373419. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.