IDEAS home Printed from https://ideas.repec.org/a/sae/fortra/v55y2020i4p511-534.html
   My bibliography  Save this article

The Supply Chain Disruption Framework Post COVID-19: A System Dynamics Model

Author

Listed:
  • Deepankar Sinha
  • Virupaxi Bagodi
  • Debasri Dey

Abstract

The COVID pandemic seems to have raised the question, ‘whether existing supply chain (SC) disruption philosophies and strategies continue to remain valid?’. This article assesses the differences in the business scenarios pre-and post-COVID. The authors capture the mathematical and operational relationships amongst the relevant factors and propose a System Dynamics (SD) model to carry out the simulations. The approach considers the impact of the force majeure condition, that is, COVID period on individuals’ income, prices and demand of goods, cost of input and supply of finished goods. The results show that earnings may increase demand but, disruption in supplies of raw materials and finished products nullify the effect. On the other hand, even if flow returns to normal, reduced income affects normal goods businesses. JEL Codes: R41

Suggested Citation

  • Deepankar Sinha & Virupaxi Bagodi & Debasri Dey, 2020. "The Supply Chain Disruption Framework Post COVID-19: A System Dynamics Model," Foreign Trade Review, , vol. 55(4), pages 511-534, November.
  • Handle: RePEc:sae:fortra:v:55:y:2020:i:4:p:511-534
    DOI: 10.1177/0015732520947904
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0015732520947904
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0015732520947904?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
    ---><---

    References listed on IDEAS

    as
    1. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
    2. Francois Lescaroux & Olivier Rech, 2008. "The Impact of Automobile Diffusion on the Income Elasticity of Motor Fuel Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 41-60.
    3. Greenman, J. V., 1996. "The car park: Diffusion models revisited," Energy Economics, Elsevier, vol. 18(1-2), pages 107-128, April.
    4. Dargay, Joyce & Gately, Dermot, 1997. "Vehicle ownership to 2015: Implications for energy use and emissions," Energy Policy, Elsevier, vol. 25(14-15), pages 1121-1127, December.
    5. Kenneth B. Medlock & Ronald Soligo, 2002. "Car Ownership and Economic Development with Forecasts to the Year 2015," Journal of Transport Economics and Policy, University of Bath, vol. 36(2), pages 163-188, May.
    6. Neto, David, 2012. "Testing and estimating time-varying elasticities of Swiss gasoline demand," Energy Economics, Elsevier, vol. 34(6), pages 1755-1762.
    7. Sharifi, H. & Zhang, Z., 1999. "A methodology for achieving agility in manufacturing organisations: An introduction," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 7-22, May.
    8. Robert McRae, 1994. "Gasoline Demand in Developing Asian Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 143-156.
    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. Tonmoy Chatterjee & Soumyananda Dinda, 2022. "Preference Distortion, Information Cost and Comparative Advantage: A Theoretical Quest to Claim Trade Posture in Post-Pandemic Era," Foreign Trade Review, , vol. 57(2), pages 127-147, May.
    2. Mojtaba Hajian Heidary, 2022. "A system dynamics model of the impact of COVID-19 pandemic and foreign direct investment in the global supply chain," Future Business Journal, Springer, vol. 8(1), pages 1-9, December.
    3. Kazancoglu, Yigit & Ekinci, Esra & Mangla, Sachin Kumar & Sezer, Muruvvet Deniz & Ozbiltekin-Pala, Melisa, 2023. "Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    4. Mojtaba Hajian Heidary, 2022. "The Effect of COVID-19 Pandemic on the Global Supply Chain Operations: A System Dynamics Approach," Foreign Trade Review, , vol. 57(2), pages 198-220, May.

    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. Garth Heutel & Erich Muehlegger, 2015. "Consumer Learning and Hybrid Vehicle Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(1), pages 125-161, September.
    2. Sentenac-Chemin, Elodie, 2012. "Is the price effect on fuel consumption symmetric? Some evidence from an empirical study," Energy Policy, Elsevier, vol. 41(C), pages 59-65.
    3. Liddle, Brantley & Parker, Steven, 2022. "One more for the road: Reconsidering whether OECD gasoline income and price elasticities have changed over time," Energy Economics, Elsevier, vol. 114(C).
    4. Arzaghi, Mohammad & Squalli, Jay, 2015. "How price inelastic is demand for gasoline in fuel-subsidizing economies?," Energy Economics, Elsevier, vol. 50(C), pages 117-124.
    5. Scott, K. Rebecca, 2015. "Demand and price uncertainty: Rational habits in international gasoline demand," Energy, Elsevier, vol. 79(C), pages 40-49.
    6. Sheng, Mingyue & Sharp, Basil, 2019. "Aggregate road passenger travel demand in New Zealand: A seemingly unrelated regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 55-68.
    7. Lescaroux, François, 2011. "Dynamics of final sectoral energy demand and aggregate energy intensity," Energy Policy, Elsevier, vol. 39(1), pages 66-82, January.
    8. Brons, Martijn & Nijkamp, Peter & Pels, Eric & Rietveld, Piet, 2008. "A meta-analysis of the price elasticity of gasoline demand. A SUR approach," Energy Economics, Elsevier, vol. 30(5), pages 2105-2122, September.
    9. Nasser Al Dossary & Carol A. Dahl, 2009. "Is Global Gasoline Demand Still as Responsive to Price?," Working Papers 2009-01, Colorado School of Mines, Division of Economics and Business.
    10. Javier Aliaga Lordemann & Alejandra Terán Orsini, 2020. "Vehicle fleets path and non-linear ownership elasticity for Bolivia, 2000-2035," Development Research Working Paper Series 04/2020, Institute for Advanced Development Studies.
    11. Martijn Brons & Peter Nijkamp & Eric Pels & Piet Rietveld, 2006. "A Meta-analysis of the Price Elasticity of Gasoline Demand. A System of Equations Approach," Tinbergen Institute Discussion Papers 06-106/3, Tinbergen Institute.
    12. Liddle, Brantley & Hasanov, Fakhri J. & Parker, Steven, 2022. "Your mileage may vary: Have road-fuel demand elasticities changed over time in middle-income countries?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 38-53.
    13. Qodri Febrilian Erahman & Nadhilah Reyseliani & Widodo Wahyu Purwanto & Mahmud Sudibandriyo, 2019. "Modeling Future Energy Demand and CO 2 Emissions of Passenger Cars in Indonesia at the Provincial Level," Energies, MDPI, vol. 12(16), pages 1-25, August.
    14. Tobias Knabke & Sebastian Olbrich, 2018. "Building novel capabilities to enable business intelligence agility: results from a quantitative study," Information Systems and e-Business Management, Springer, vol. 16(3), pages 493-546, August.
    15. Asensio, Javier & Matas, Anna & Raymond, Jose-Luis, 2003. "Petrol expenditure and redistributive effects of its taxation in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(1), pages 49-69, January.
    16. Thibault Fally & James Sayre, 2018. "Commodity Trade Matters," 2018 Meeting Papers 172, Society for Economic Dynamics.
    17. M. Adam & O. Bonnet & E. Fize & T. Loisel & M. Rault & L. Wilner, 2023. "How does fuel demand respond to price changes? Quasi-experimental evidence based on high-frequency data," Documents de Travail de l'Insee - INSEE Working Papers 2023-17, Institut National de la Statistique et des Etudes Economiques.
    18. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "A meta-analysis on the price elasticity of energy demand," Energy Policy, Elsevier, vol. 102(C), pages 549-568.
    19. Dora Gicheva & Justine Hastings & Sofia Villas-Boas, 2007. "Revisiting the Income Effect: Gasoline Prices and Grocery Purchases," NBER Working Papers 13614, National Bureau of Economic Research, Inc.
    20. Ziru Feng & Tian Cai & Kangli Xiang & Chenxi Xiang & Lei Hou, 2019. "Evaluating the Impact of Fossil Fuel Vehicle Exit on the Oil Demand in China," Energies, MDPI, vol. 12(14), pages 1-18, July.

    More about this item

    Keywords

    COVID pandemic; force majeure condition; supply chain (SC) disruption; demand; system dynamics model; policy and strategy experimentation;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    Statistics

    Access and download statistics

    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:sae:fortra:v:55:y:2020:i:4:p:511-534. 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: SAGE Publications (email available below). General contact details of provider: .

    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.