Analysing the COVID-19 disruptive impact on Montevideo’s Supply Chains

Matías Aresti; Felipe Algorta; Ignacio Bertoncello; Manuel Aramis Flores; Matías Crosa; Martín Tanco

doi:10.36561/ING.22.3

Autores/as

Matías Aresti Universidad de Montevideo https://orcid.org/0000-0002-8180-999X
Felipe Algorta Universidad de Montevideo, Uruguay https://orcid.org/0000-0002-8697-9023
Ignacio Bertoncello Universidad de Montevideo, Uruguay https://orcid.org/0000-0001-8014-4546
Manuel Aramis Flores Universidad de Montevideo, Uruguay https://orcid.org/0000-0003-0805-7717
Matías Crosa Universidad de Montevideo, Uruguay https://orcid.org/0000-0002-4150-7102
Martín Tanco Universidad de Montevideo, Uruguay https://orcid.org/0000-0002-2252-1742

DOI:

https://doi.org/10.36561/ING.22.3

Palabras clave:

COVID-19, Gestión logística, Resiliencia de las cadenas de suministros, Efecto látigo

Resumen

Mundialmente, el COVID-19 generó niveles de contagio sin precedentes, afectando reuniones sociales, espacios públicos, y muchos aspectos de la vida diaria. Durante los primeros días de pandemia, cadenas de suministros fueron afectadas debido a una gran incertidumbre de factores socioeconómicos, causando una alta volatilidad en la demanda resultándola impredecible. Este artículo analiza el efecto que tuvo la pandemia en el comportamiento de diferentes empresas considerando las variaciones en la oferta y demanda de bienes de consumo envasados. Las perturbaciones generadas por la pandemia, el efecto látigo causado por fluctuaciones en la demanda, y la resiliencia de diferentes empresas son estudiadas. Se utilizan múltiples estudios de caso para analizar el proceso de toma de decisiones de catorce empresas uruguayas, de diversos sectores, enfrentándose a la pandemia. Entre las observaciones realizadas se destacan la identificación de riesgos operacionales y disrupciones, y una alta coordinación en la administración de cadenas de suministro durante los primeros meses de pandemia. Asimismo, necesidades sanitarias y alimenticias, y el miedo al agote de stock, causaron demandas inciertas, ocasionando un efecto látigo en ciertos canales de productos. Finalmente, la resiliencia y solidez de las empresas es estudiada, y se identifican y analizan buenas prácticas para afrontar la pandemia.

Descargas

Los datos de descargas todavía no están disponibles.

Citas

Ivanov, D.; Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case, 2020, Transportation Research Part E: Logistics and Transportation Review, 136, 101922. https://doi.org/10.1016/j.tre.2020.101922

Sharma, A., Adhikary, A., & Borah, S. B.; Covid-19′s impact on supply chain decisions: Strategic insights from NASDAQ 100 firms using Twitter data, 2020, Journal of Business Research, 117(May), 443–449. https://doi.org/10.1016/j.jbusres.2020.05.035

OECD Secretary General; Covid-19: SME Policy Responses, 2020, 1–55. https://oecd.dambroadcast.com/pm_7379_119_119680-di6h3qgi4x.pdf

National Academies of Sciences Engineering and Medicine; Freight Transportation

Resilience in Response to Supply Chain Disruptions, 2019, https://doi.org/10.17226/25463

Sheffi, Y.; Preparing for disruptions through early detection, 2015, MIT Sloan Management Review, 57(1), 31–42.

Sheffi, Y., & Rice, J. B.; A supply chain view of the resilient enterprise, 2005, MIT Sloan Management Review, 47(1).

He, Y., & Liu, N.; Methodology of emergency medical logistics for public health emergencies, 2015, Transportation Research Part E: Logistics and Transportation Review, 79, 178–200. https://doi.org/10.1016/j.tre.2015.04.007

The Guardian; Uruguay and Paraguay buck the Latin America coronavirus trend, 2020, https://www.theguardian.com/world/2020/jun/25/uruguay-and-paraguay-buck-latin-americacoronavirus-trend

Christopher, M., & Peck, H.; BUILDING THE RESILIENT SUPPLY CHAIN, 2004, 15(2), 1–13.

Lee, H. L., Padmanhaban, V., & Whang, S.; The Bullwhip Effect in Supply Chains, 1997, 93–103.

Metters, R.; Quantifying the bullwhip effect in supply chains, 1997, 15, 89–100.

Faizan, R., & Haque, A. ul.; Bullwhip effect phenomenon and mitigation in logistic firm’s

supply chain: Adaptive approach by Transborder Agency, Canada, 2015, International Journal of Supply Chain Management, 4(4), 43–51.

Holweg, M., Disney, S., Holmstro, J. A. N., & Sma, J.; Supply Chain Collaboration : Making Sense of the Strategy Continuum, 2005, 23(2), 170–181. https://doi.org/10.1016/j.emj.2005.02.008

Klibi, W., Martel, A., & Guitouni, A.; The design of robust value-creating supply chain networks: A critical review, 2010, European Journal of Operational Research, 203(2), 283–293. https://doi.org/10.1016/j.ejor.2009.06.011

Tang, C. S., Perspectives in supply chain risk management, 2006, International Journal of Production Economics, 103(2), 451–488. https://doi.org/10.1016/j.ijpe.2005.12.006

Norrman, A., & Jansson, U.; Ericsson’s proactive supply chain risk management approach after a serious sub-supplier accident, 2004, International Journal of Physical Distribution and Logistics Management, 34(5), 434–456. https://doi.org/10.1108/09600030410545463

Fan, Y., & Stevenson, M.; A review of supply chain risk management: definition, theory, and research agenda, 2018, International Journal of Physical Distribution and Logistics Management, 48(3), 205–230. https://doi.org/10.1108/IJPDLM-01-2017-0043

Falasca, M., Zobel, C. W., & Cook, D.; A decision support framework to assess supply chain resilience, 2008, Proceedings of ISCRAM 2008 - 5th International Conference on Information Systems for Crisis Response and Management, 596–605.

Brandon-Jones, E., Squire, B., Autry, C. W., & Petersen, K. J.; A Contingent ResourceBased Perspective of Supply Chain Resilience and Robustness, 2014, Journal of Supply Chain Management, 50(3), 55–73. https://doi.org/10.1111/jscm.12050

Brusset, X., & Teller, C.; Supply chain capabilities, risks, and resilience, 2017, International Journal of Production Economics, 184(September), 59–68.

https://doi.org/10.1016/j.ijpe.2016.09.008

Michelman, P.; Building a Resilient Supply Chain, 2007, Harvard Business Review, 1–7.

Ivanov, D., Dolgui, A., Sokolov, B., & Ivanova, M.; Literature review on disruption recovery in the supply chain, 2017, International Journal of Production Research, 55(20), 6158–6174. https://doi.org/10.1080/00207543.2017.1330572

Boerkamps, J. H. K., Van Binsbergen, A. J., & Bovy, P. H. L.; Modelling behavioural aspects of urban freight movement in supply chains, 2000, Transportation Research Record, 1725, 17–25. https://doi.org/10.3141/1725-03

Cardoso, S. R., Paula Barbosa-Póvoa, A., Relvas, S., & Novais, A. Q.; Resilience metrics in the assessment of complex supply-chains performance operating under demand uncertainty, 2015, Omega (United Kingdom), 56, 53–73. https://doi.org/10.1016/j.omega.2015.03.008

Ta, C., Goodchild, A. V., & Pitera, K.; Structuring a definition of resilience for the freight transportation system, 2009, Transportation Research Record, 2097, 19–25. https://doi.org/10.3141/2097-03

Tom Linton, B. V.; Coronavirus Is Proving We Need More Resilient Supply Chains, 2020, MIT.

Freitas, A. R. R., Napimoga, M., & Donalisio, M. R.; Análise da gravidade da pandemia de Covid-19, 2020, Epidemiologia e Servicos de Saude : Revista Do Sistema Unico de Saude Do Brasil, 29(2), e2020119. https://doi.org/10.5123/S1679-49742020000200008

Saunders, M., Lewis, P., & Thornhill, A.; Research Methods for Business Students, 2007, In Pearson Education. https://doi.org/10.1017/S0016756800135770

Yin, R. K.; Case Study Research: Design and Methods, 2003, Third Edition, Applied Social Research Methods Series, Vol 5 [Paperback] (p. 200). http://www.amazon.com/Case-StudyResearch-Methods-Applied/dp/0761925538

Ketokivi, M., & Choi, T.; Renaissance of case research as a scientific method, 2014, Journal of Operations Management, 32(5), 232–240. https://doi.org/10.1016/j.jom.2014.03.004

Stuart, I., McCutcheon, D., Handfield, R., McLachlin, R., & Samson, D.; Effective case research in operations management: A process perspective, 2002, Journal of Operations Management, 20(5), 419–433. https://doi.org/10.1016/S0272-6963(02)00022-0

Hobbs J. E.; Food supply chains during the COVID-19 pandemic, 2020, Can J Agr Econ, 68:171–176. https://doi.org/10.1111/cjag.12237

Lins, S., & Aquino, S.; Development and initial psychometric properties of a panic buying scale during the COVID-19 pandemic, 2020, Heliyon, 6(9), e04746. https://doi.org/10.1016/j.heliyon.2020.e04746

Viu-Roig, M., & Alvarez-Palau, E. J.; The impact of E-Commerce-related last-mile logistics on cities: A systematic literature review, 2020, Sustainability (Switzerland), 12(16). https://doi.org/10.3390/su12166492