The project supply chain – a model of the recent disruption brought on by the COVID-19 pandemic and the war in Ukraine

• Authors: Karl Skogstad , Marcin Halicki , Andreas Uphaus

Title variants

PL

Projektowy łańcuch dostaw - model niedawnych zakłóceń wywołanych przez pandemię COVID-19 oraz wojnę na Ukrainie

Abstracts

PL

W artykule zawarto odpowiedź na pytanie, z jakimi decyzjami muszą się zmierzyć przedsiębiorstwa tworząc projektowe łańcuchy dostaw, w zakresie liczby dostawców głównego wykonawcy. Odpowiedź na to pytanie jest celem artykułu, została ona udzielona na podstawie modelu teoretycznego. Model ten pozwala zbadać wpływ wielu zakłóceń, takich jak pandemia COVID 19 lub wojna na Ukrainie, na projektowe łańcuchy dostaw. W artykule przeanalizowano rolę cen, kosztów a także zdolności do funkcjonowania w warunkach zakłóceń. Dodatkowo przeprowadzono symulacje w celu uzyskania wyników badań o ustalonych parametrach. Pokazana symulacja może być również wykorzystana do innych symulacji ryzyka, celem jego analizy, czy też jako narzędzie wspomagające decyzje dotyczące tego, czy budować łańcuch z jednym źródłem dostaw czy z wieloma.

EN

This paper examines the decisions companies must face while creating project supply chains, specifically concerning the number of suppliers from which to contract. This question is of importance as project supply chains are rarely described in the logistic literature. A theoretical model is developed to expound on this issue. This model is then used a basis for simulations which seek to understand under what conditions a firm may wish to insure itself against disruption by contracting with multiple suppliers. This model helps to study the impact of various disruptions, including COVID 19-pandemic or the war in Ukraine, on project supply chains. The paper finds that cost of establishing supplier relationships, the nature of the returns to scale, and the probability of a disruption are all key variables when determining how robust a firm should make their supply chain.

Keywords

EN

disruption; model; project supply chain; disasters; simulation

PL

zakłócenie; model; projektowy łańcuch dostaw; katastrofy; symulacja

• Publisher: Polskie Towarzystwo Geopolityczne
• Journal: Przegląd Geopolityczny
• Year: 2023
• Volume: 43
• Pages: 141-164

Dates

published

2023

Contributors

author

Karl Skogstad

• Lakehead University, Canada

author

Marcin Halicki

• University of Rzeszów, Poland

author

Andreas Uphaus

• Bielefeld University of Applied Sciences, Germany

References

• Aloini, D., Dulmin, R., Mininno, V., Ponticelli, S., 2012. Supply chain management: a review of implementation risks in the construction industry, Business Process Management Journal, 18 (5), pp. 735– 761.
• Beer, J. E., Liyanage, J. P., 2012. Sustainability Risk for Global Production Networks in the Automobile Industry: A Case of Supplier Networks, APMS 2011, IFIP AICT 384, pp. 381–389.
• Chopra, S., Sohdi, M., 2014. Reducing Risk of Supply Chain Disruptions. MIT Sloan Management Review.
• Gamal, A., Abdel-Basser, M., Chakrabortty, R. K., 2022. Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of COVID-19 pandemic, Expert Systems With Applications, 205, pp. 1-18.
• Gatenholm, G., Halldórsson, Á., 2022. Responding to discontinuities in product-based service supply chains in the COVID-19 pandemic, European Management Journal, 3/22 in press, pp. 1-12.
• Halicki, M., 2020. Projektowy łańcuch dostaw w innowacyjnym zarządzaniu, [w:] G. Gajdek, Cz. Puchalski (red.), Ekonomiczno technologiczne aspekty rolnictwa i energetyki, UR, Rzeszów, pp. 61- 70.
• Ivanov, D., 2020. Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case, Transportation Research Part E: Logistics and Transportation Review, 136, pp. 1-14.
• Korpysa, J., Halicki, M., 2022. Project supply chain management and fintech startups – relationship, Procedia Computer Science, 207, pp. 4419–4427.
• Kumar, V., Viswanadham, N., 2007. A CBR-based decision system framework for Construction Supply Chain Risk Management, Proceedings of the 3rd Annual IEEE Conference on Automation Science and Engineering Scottsdale, AZ, USA, Sept 22-25, pp. 980- 985.
• Lahmar, A., Galasso, F., Chabchoub, H., Lamothe, J., 2015. Towards an Integrated Model of Supply Chain Risks: An Alignment Between Supply Chain Characteristics and Risk Dimensions, [in:] Camarinha Matos, L., Bénaben, F., Picard, W. (eds) Risks and Resilience of Collaborative Networks. PRO-VE 2015. IFIP Advances in Information and Communication Technology, 463. Springer, Cham, pp. 3-16.
• Li, X., Pradhan, N., 2017. Supply chain resilience for single and multiple sourcing in the presence of disruption risks, International Journal of Production Research, 56(1), pp. 1-22.
• O’Brien, W.J., Formoso, C.T., Vrijhoef, R., London, K.A., 2009. Construction Supply Chain Management Handbook, Crc Press Taylor & Francis, 2009, Boca Raton.
• Rudolf, C.A. Spinler, S., 2018. Key risks in the supply chain of large scale engineering and construction projects, Supply Chain Management: An International Journal, 23 (4), pp. 336–350.
• Singh, S., Kumar, R., Panchal, R., Tiwari., M. K., 2021. Impact of COVID-19 on logistic systems and disruptions in food supply chain. International Journal of Production Research, 2021, 59 (7), pp. 1993-2008.
• Sodhi, M.S., Tang, C. S., 2012. Supply Chain Risk Management. Managing Supply Chain Risk, International Series in Operations Research and Management Science, 172, pp. 3-11.
• Treleven, M., Schweikhart, S.B., 1988. A Risk/Benefit Analysis of Sourcing Strategies: Single vs. Multiple Sourcing, Journal of Operations Management, 7 (3–4),pp. 93–114.
• Vieira, A. A. C., Dias, L. M. S., Santos, M. Y., Pereira, G.A.B., Oliviera, J. A., 2019. Supply Chain Simulation in a Big Data Context: Risks and Uncertainty Analysis, [in:] Misra, S., et al. (Eds.): ICCSA 2019, LNCS 11619, pp. 817–829.
• Voordijk H., Haan J., Joosten G-J., 2000. Changing governance of supply chains in the building industry: a multiple case study, European Journal of Purchasing & Supply Management, 6 (3–4), pp. 217-225.
• Weber, A. N., 2021. Responding to supply chain disruptions caused by COVID-19 pandamic: A Black Swan event for omnichannel retailers, Journal of Transport and Supply Chain Management, 15, pp. 1-16.

Identifiers

Biblioteka Nauki

21151067