Disorders, Vulnerabilities and Resilience in the Supply Chain in Pandemic Times
Abstract
:1. Introduction
2. Literature Review
2.1. Complex Adaptive System Theory
2.2. Business Supply Chain Disruptions
2.3. Vulnerability in the Supply Chain
2.4. Resilience in the Supply Chain
2.5. The Relationship between Adaptive System Complexity and Supply Chain Disruption, Vulnerability and Resilience
3. Methodology
4. Results and Discussion of the Results
4.1. Supply Chain Disruptions
4.2. Supply Chain Vulnerabilities
4.3. Resilience in the Supply Chain
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
- Liu, J.; Tong, T.W.; Sinfield, J.V. Toward a resilient complex adaptive system view of business models. Long Range Plan. 2020, 54, 102030. [Google Scholar] [CrossRef]
- Afuah, A.; Tucci, C. Internet Business Models and Strategies; McGraw-Hill: Boston, MA, USA, 2001. [Google Scholar]
- Turner, J.R.; Baker, R.M. Complexity Theory: An Overview with Potential Applications for the Social Sciences. Systems 2019, 7, 4. [Google Scholar] [CrossRef] [Green Version]
- Karl, A.A.; Micheluzzi, J.; Leite, L.R.; Pereira, C.R. Supply chain resilience and key performance indicators: A systematic literature review. Production 2018, 28. [Google Scholar] [CrossRef] [Green Version]
- Sureeyatanapas, P.; Waleekhajornlert, N.; Arunyanart, S.; Niyamosoth, T. Resilient supplier selection in electronic components procurement: An integration of evidence theory and rule-based transformation into TOPSIS to tackle uncertain and incomplete information. Symmetry 2020, 12, 1109. [Google Scholar] [CrossRef]
- Mari, S.I.; Lee, Y.H.; Memon, M.S. Sustainable and resilient supply chain network design under disruption risks. Sustainability 2014, 6, 6666–6686. [Google Scholar] [CrossRef] [Green Version]
- Silva, R.M.D. Os impactos da pandemia do Covid-19 na cadeia de suprimentos e atividades logísticas: Contribuições e Insights Teóricos. INOVAE J. Eng. Archit. Technol. Innov. 2021, 9, 448–467. [Google Scholar]
- Zhu, G.; Chou, M.C.; Tsai, C.W. Lessons Learned from the COVID-19 pandemic exposing the shortcomings of current supply chain operations: A long-term prescriptive offering. Sustainability 2020, 12, 5858. [Google Scholar] [CrossRef]
- Pourhejazy, P.; Kwon, O.K.; Chang, Y.T.; Park, H. Evaluating resiliency of supply chain network: A data envelopment analysis approach. Sustainability 2017, 9, 255. [Google Scholar] [CrossRef] [Green Version]
- Elleuch, H.; Dafaoui, E.; Elmhamedi, A.; Chabchoub, H. Resilience and Vulnerability in Supply Chain: Literature review. IFAC Pap. 2016, 49, 1448–1453. [Google Scholar] [CrossRef]
- Alves, U.; Pereyron, L. A transferência vocálica em falantes bilíngues e trilíngues: Uma concepção de Língua como Sistema Adaptativo Complexo. REVEL Rev. Virtual Estud. Ling. 2016, 14, 226–265. [Google Scholar]
- dos Santos, A.C.R.; De Held, M.S.B. Moda e a teoria da complexidade de Edgar Morin. Projetica 2018, 9, 55. [Google Scholar] [CrossRef]
- Vieira, E.J.; Martins, H.C.; Gonçalves, C.A. Complexity Theory under the management perspective. Cad. UniFOA 2015, 10, 51–66. [Google Scholar] [CrossRef]
- Guo, X.; Vogel, D.; Zhou, Z.; Zhang, X.; Chen, H. Chaos Theory as a Lens for Interpreting Blogging. J. Manag. Inf. Syst. 2009, 26, 101–128. [Google Scholar] [CrossRef]
- Vieira, E.J.; Martins, H.C.; Gonçalves, C.A. Complexity theory: A study in organizations from several perspectives. Rev. Econ. Gestão 2014, 14, 85–112. [Google Scholar] [CrossRef] [Green Version]
- Wang, C.; Dong, X.; Zhang, Y.; Luo, Y. Community resilience governance on public health crisis in china. Int. J. Environ. Res. Public Health 2021, 18, 2123. [Google Scholar] [CrossRef] [PubMed]
- Fahimnia, B.; Sarkis, J.; Davarzani, H. Green supply chain management: A review and bibliometric analysis. Int. J. Prod. Econ. 2015, 162, 101–114. [Google Scholar] [CrossRef]
- Sarkis, J.; Zhu, Q.; Lai, K.H. An organizational theoretic review of green supply chain management literature. Int. J. Prod. Econ. 2011, 130, 1–15. [Google Scholar] [CrossRef]
- Amindoust, A. A resilient-sustainable based supplier selection model using a hybrid intelligent method. Comput. Ind. Eng. 2018, 126, 122–135. [Google Scholar] [CrossRef]
- Sheffi, Y. Are You Prepared to Manage a Whack-A-Mole Recovery? Supply Chain Management Review. 2020. Available online: https://medium.com/mitsupplychain/are-you-prepared-to-manage-a-whack-a-mole-recovery-6b79127ad63a (accessed on 15 June 2021).
- Levary, R.R. Using the analytic hierarchy process to rank foreign suppliers based on supply risks. Comput. Ind. Eng. 2008, 55, 535–542. [Google Scholar] [CrossRef]
- Shukla, A.; Lalit, V.A.; Venkatasubramanian, V. Optimizing efficiency-robustness trade-offs in supply chain design under uncertainty due to disruptions. Int. J. Phys. Distrib. Logist. Manag. 2011, 41, 623–646. [Google Scholar] [CrossRef]
- Lim, M.K.; Bassamboo, A.; Chopra, S.; Daskin, M.S. Facility location decisions with random disruptions and imperfect estimation. Manuf. Serv. Oper. Manag. 2013, 15, 239–249. [Google Scholar] [CrossRef]
- Blackhurst, J.; Rungtusanatham, M.J.; Scheibe, K.; Ambulkar, S. Supply chain vulnerability assessment: A network based visualization and clustering analysis approach. J. Purch. Supply Manag. 2018, 24, 21–30. [Google Scholar] [CrossRef]
- Babich, V. Vulnerable options in supply chains: Effects of supplier competition. Nav. Res. Logist. 2006, 53, 656–673. [Google Scholar] [CrossRef]
- Kim, Y.; Chen, Y.S.; Linderman, K. Supply network disruption and resilience: A network structural perspective. J. Oper. Manag. 2015, 33–34, 43–59. [Google Scholar] [CrossRef] [Green Version]
- Treleven, M.; Bergman Schweikhart, S. A risk/benefit analysis of sourcing strategies: Single vs. multiple sourcing. J. Oper. Manag. 1988, 7, 93–114. [Google Scholar] [CrossRef]
- Wagner, S.M.; Neshat, N. A comparison of supply chain vulnerability indices for different categories of firms. Int. J. Prod. Res. 2012, 50, 2877–2891. [Google Scholar] [CrossRef]
- Crucitti, P.; Latora, V.; Marchiori, M.; Rapisarda, A. Error and attack tolerance of complex networks. Phys. A Stat. Mech. Its Appl. 2004, 340, 388–394. [Google Scholar] [CrossRef] [Green Version]
- Wagner, S.M.; Bode, C. An empirical investigation into supply chain vulnerability. J. Purch. Supply Manag. 2006, 12, 301–312. [Google Scholar] [CrossRef]
- Ponomarov, S.Y.; Holcomb, M.C. Understanding the concept of supply chain resilience. Int. J. Logist. Manag. 2009, 20, 124–143. [Google Scholar] [CrossRef]
- Thomé, A.M.T.; Scavarda, L.F.; Scavarda, A.J. Conducting systematic literature review in operations management. Prod. Plan. Control 2016, 27, 408–420. [Google Scholar] [CrossRef]
- Ali, A.; Mahfouz, A.; Arisha, A. Analysing supply chain resilience: Integrating the constructs in a concept. Supply Chain Manag. Int. J. 2017, 22, 1–49. [Google Scholar] [CrossRef]
- Kamalahmadi, M.; Parast, M.M. A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. Int. J. Prod. Econ. 2016, 171, 116–133. [Google Scholar] [CrossRef]
- CSM. Creating Resilient Supply Chains: A Practical Guide; Centre for Logistics and Supply Chain Management, Cranfield School of Management (CSM): West Yorkshire, UK, 2003. [Google Scholar]
- Christopher, M.; Peck, H. Building the Resilient Supply Chain. Int. J. Logist. Manag. 2004, 15, 1–14. [Google Scholar] [CrossRef] [Green Version]
- Pettit, T.J.; Fiksel, J.; Croxton, K.L. Ensuring Supply Chain Resilience: Development of a Conceptual Framework. J. Bus. Logist. 2010, 31, 1–21. [Google Scholar] [CrossRef]
- Pettit, T.J.; Croxton, K.L.; Fiksel, J. The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain Resilience. J. Bus. Logist. 2019, 40, 56–65. [Google Scholar] [CrossRef]
- Pettit, T.J.; Croxton, K.L.; Fiksel, J. Ensuring Supply Chain Resilience: Development and Implementation of an Assessment Tool. J. Bus. Logist. 2013, 34, 46–76. [Google Scholar] [CrossRef]
- Scholten, K.; Scott, P.S.; Fynes, B. Mitigation processes—Antecedents for building supply chain resilience. Supply Chain Manag. 2014, 19, 211–228. [Google Scholar] [CrossRef]
- Brusset, X.; Teller, C. Supply chain capabilities, risks, and resilience. Int. J. Prod. Econ. 2017, 184, 59–68. [Google Scholar] [CrossRef]
- Giunipero, L.; Hohenstein, N.-O.; Feisel, E.; Hartmann, E. Research on the phenomenon of supply chain resilience. Int. J. Phys. Distrib. Logist. Manag. 2015, 45, 90–117. [Google Scholar]
- Kamalahmadi, M.; Parast, M.M. An assessment of supply chain disruption mitigation strategies. Int. J. Prod. Econ. 2017, 184, 210–230. [Google Scholar] [CrossRef] [Green Version]
- Pereira, C.R.; Christopher, M.; Lago Da Silva, A. Achieving supply chain resilience: The role of procurement. Supply Chain Manag. 2014, 19, 626–642. [Google Scholar] [CrossRef]
- Christopher, M.; Holweg, M. Supply chain 2.0 revisited: A framework for managing volatility-induced risk in the supply chain. Int. J. Phys. Distrib. Logist. Manag. 2017, 47, 2–17. [Google Scholar] [CrossRef]
- Melnyk, S.A.; Narasimhan, R.; DeCampos, H.A. Supply chain design: Issues, challenges, frameworks and solutions. Int. J. Prod. Res. 2014, 52, 1887–1896. [Google Scholar] [CrossRef] [Green Version]
- Yaroson, E.V.; Breen, L.; Hou, J.; Sowter, J. Advancing the understanding of pharmaceutical supply chain resilience using complex adaptive system (CAS) theory. Supply Chain Manag. Int. J. 2021, 26, 323–340. [Google Scholar] [CrossRef]
- Andersson, B.; Johannesson, P.; Zdravkovic, J. Aligning goals and services through goal and business modelling. Inf. Syst. E-Bus. Manag. 2009, 7, 143–169. [Google Scholar] [CrossRef]
- Itami, H.; Nishino, K. Killing two birds with one stone: Profit for now and learning for the future. Long Range Plan. 2010, 43, 364–369. [Google Scholar] [CrossRef]
- Baden-Fuller, C.; Haefliger, S. Business Models and Technological Innovation. Long Range Plan. 2013, 46, 419–426. [Google Scholar] [CrossRef] [Green Version]
- Gassmann, O.; Frankenberger, K.; Sauer, R. Exploring the Field of Business Model. Innovation: New Theoretical Perspectives; Springer: Berlin/Heidelberg, Germany, 2016. [Google Scholar]
- Hosseini, S.; Barker, K.; Ramirez-Marquez, J.E. A review of definitions and measures of system resilience. Reliab. Eng. Syst. Saf. 2016, 145, 47–61. [Google Scholar] [CrossRef]
- Njie, B.; Asimiran, S. Case Study as a Choice in Qualitative Methodology. IOSR J. Res. Method Educ. 2014, 4, 35–40. [Google Scholar] [CrossRef]
- Lopes, J.M.; Farinha, L.; Ferreira, J.J.; Ferreira, F. Peeking beyond the wall: Analysing university technology transfer and commercialisation processes. Int. J. Technol. Manag. 2018, 78, 107–132. [Google Scholar] [CrossRef]
- Lopes, J.; Farinha, L.; Ferreira, J.J. Value creation and commercialization in insular ecosystems. Int. J. Soc. Ecol. Sustain. Dev. 2018, 9, 92–102. [Google Scholar] [CrossRef]
- Yin, R. Case Study Research: Design and Methods; Sage Publications: Thousand Oaks, CA, USA, 2003. [Google Scholar]
- Jüttner, U.; Peck, H.; Christopher, M. Supply chain risk management: Outlining an agenda for future research. Int. J. Logist. Res. Appl. 2003, 6, 197–210. [Google Scholar] [CrossRef] [Green Version]
- Salimi, M.; Sampaio, P.; Golmaryami, S.S. Analyzing the implications of COVID-19 on supply chain quality management. In Proceedings of the 4th International Conference on Quality Engineering and Management, Braga, Portugal, 21–22 September 2020; pp. 221–232. [Google Scholar]
- Moshood, T.D.; Nawanir, G.; Sorooshian, S. Digital Twins Driven Supply Chain Visibility within Logistics: A New Paradigm for Future Logistics. Appl. Syst. Innov. 2021, 4, 29. [Google Scholar] [CrossRef]
- Tozanlı, Ö.; Kongar, E.; Gupta, S.M. Evaluation of waste electronic product trade-in strategies in predictive twin disassembly systems in the era of blockchain. Sustainability 2020, 12, 5416. [Google Scholar] [CrossRef]
- Kuei, C.H.; Madu, C.N.; Lin, C. Developing global supply chain quality management systems. Int. J. Prod. Res. 2011, 49, 4457–4481. [Google Scholar] [CrossRef]
- Ketchen, D.J., Jr.; Combs, J.G.; Russel, C.J.; Shook, C.; Dean, M.A.; Runge, J.; Lohrke, F.T.; Naumann, S.E.; Haptonstahl, D.E.; Baker, R.; et al. Organizational Configurations and Performance: A Meta-Analysis. Acad. Manag. J. 1997, 40, 223–240. [Google Scholar] [CrossRef]
- Morcillo-bellido, J.; Isasi-sanchez, L.; Garcia-gutierrez, I.; Duran-heras, A. Model Based Analysis of Innovation in Sustainable Supply Chains. Sustainability 2021, 13, 4868. [Google Scholar] [CrossRef]
- Hajej, Z.; Nyoungue, A.C.; Abubakar, A.S.; Ali, K.M. An Integrated Model of Production, Maintenance, and Quality Control with Statistical Process Control Chart of a Supply Chain. Appl. Sci. 2021, 11, 4192. [Google Scholar] [CrossRef]
- Huang, S.; Potter, A.; Eyers, D. Using simulation to explore the influence of online reviews on supply chain dynamics. Comput. Ind. Eng. 2021, 151, 106925. [Google Scholar] [CrossRef]
- Jacobs, M.A.; Yu, W.; Chavez, R. The effect of internal communication and employee satisfaction on supply chain integration. Int. J. Prod. Econ. 2016, 171, 60–70. [Google Scholar] [CrossRef]
- Klueber, R.; O’Keefe, R.M. Defining and assessing requisite supply chain visibility in regulated industries. J. Enterp. Inf. Manag. 2013, 26, 295–315. [Google Scholar] [CrossRef]
- Hosoe, N. Impact of border barriers, returning migrants, and trade diversion in Brexit: Firm exit and loss of variety. Econ. Model. 2018, 69, 193–204. [Google Scholar] [CrossRef] [Green Version]
- Motilewa, B.D. Survey data on supply chain improvement and operational competency of oil and gas firms in Nigeria. Data Brief 2018, 20, 1073–1078. [Google Scholar] [CrossRef]
Large Enterprises | SME | |
2019 | 1357 | 1,333,649 |
Companies | Individuals | |
2019 | 447,271 | 887,735 |
Company A | Company B | Company C | Company D | Company E | |
---|---|---|---|---|---|
Date and Time of Interview | 29 March 2021 14:00 h | 4 April 2021 21:02 h | 27 March 2021 16:37 h | 30 March 2021 15:00 h | 05 April 2021 10:00 h |
Interviewee | CEO | CEO | CEO | CEO | CEO |
Type of Company | Unipessoal Limited | Private Limited Company | Private Limited Company | Private Limited Company | Private Limited Company |
Area of Responsibility | Food | Food/Farming | Food | Food | Food |
Years of Experience of the interviewee | 10 years | 3 years | 24 years | 20 years | 12 years |
Invoicing Volume 2020 | EUR 500,000 | EUR 400,000 | EUR 2,000,000 | EUR 6,278,000 | EUR 1,000,000 |
Timing of Product Supply Delay | Duration and Reason for the Delay | The Quickness of the Perception of the Interruption/the Reason That Caused It | Alert Metrics in a Disruptive Event | Quick Perception of the Impact of the Interruption | Perceived Impact on Areas of the Supply Chain | Barrier Encountered during the Interruption | |
---|---|---|---|---|---|---|---|
Company A | Lack of protein | - 3 weeks - COVID-19 | 2 days | Early warning from the wholesaler | Instantaneous | Raw materials sales area | Lack of suppliers of the same raw material |
Company B | Fresh product delay | - 2 weeks - Brexit | - Immediately | No metrics of any kind | 1 day | Sales area | Demand from customers, other suppliers |
Company C | Bovine animal protein delay | - Intermittent delay - Bovine spongiform encephalopathy disease | - Immediately | No metrics at all | Immediately | Sales area | Fear in beef consumption |
Company D | Vegetable product delays | - 5 days - Product production delay | 2 days | Producer early warning | Immediately | Operating area | Reaching alternative producers |
Company E | Flour product delay | - 5 days - Delay in flour transportation | - Immediately | Supplier early warning | At the time | Operating area | Finding a flour supplier |
Product Characteristics and Whether It Amplifies Disruptive Activity | Supply Chain | Amplifier Feature for Disruptive Activities | Role of Suppliers in Disruptive Activity | Role of Suppliers | Effect of Management Decisions during an Interruption | Role of Regulatory Bodies | |
---|---|---|---|---|---|---|---|
Company A | - Product confectioned moments before delivery. - Willingness to innovate in terms of machinery, to shorten the cooking time | - Producers or suppliers contact the company - Delivery deadlines established - Delivery by carriers - Storage of raw material - Transformation of the raw material into the final product | - Expiration of products - Higher margin of error since the final product is executed by labour | Does not have a role in disruptive activity. Since the products are raw materials, they cannot innovate | Does not have a role | Joint communication facilitates the resolution of the disruptive activity | Supervision of frauds and management deficiencies (ASAE) |
Company B | Sensitive products, such as vegetables, with very limited shelf life and open to innovations | - Weekly orders, established by deadlines - Reception of the plants by the transporter - Planting and treatment of the plants - Final product - Final consumer | No magnifying feature whatsoever | The supplier does not have a role | Suppliers do not have any role in this situation. | Communication with suppliers | To avoid these frauds, HCCP provides training |
Company C | Products that require refrigeration and are open to innovations | - Daily orders - Receiving live cattle at transporters - Storage of cattle - Slaughtering and processing of livestock - Own transport to customers - At customers’ locations, as butchers are sold to the final consumer | There are no magnifying resources. | Suppliers do not have a role | They do not have any role. | Communication with all agencies in the supply chain | - State Veterinarians, guarantee the legality of the process of collection and slaughter of animals; - ASAE supervises and inspects the company |
Company D | Perishable horticultural and fruit products, with the possibility of innovation | - The company contacts the producers - Reception of products - Storage of fruit and vegetable products - Sale of the products to wholesalers and final consumers | Delivery time, since they are perishable products, if they are not delivered on the due date, the products spoil | Does not have a role | Does not have a function | The company believes that its management decisions do not affect in the event of a disruption | Ensure the safety of public health |
Company E | Products made in-house, with the possibility to innovate | - Producers (who make the products) - Suppliers who deliver the products to the bakery through their transporters - They store the products - Some are processed, and others resold - Delivery to the final consumer | - Conservation; - Expiration date - Mismanagement | The role is to deliver the feeds needed to make this innovation happen | At the time of the innovation of the fradinhas (new cake made in the company), they had to deliver flour | Good connections with employees and suppliers | Ensure the conservation of products so as not to affect the well-being of final consumers |
Strategies for Responding to Interruptions | Resources that Support the Disruptive Event | Effect of Strategies on Interruption | the Competitive Position of the Company | Process of Obtaining Information from Stakeholders | Ability to Obtain Product over a Disruptive Activity | Available Suppliers | Obstacles | How to Better Prepare a Supply Chain | |
---|---|---|---|---|---|---|---|---|---|
Company A | - Identical products - Substitution with another product | Resort to companies in the company’s area | Time optimisation | Product quality at a low price, in a short time of production | - Individual Meetings - Collective meetings | - Alternative Products - Contact with suppliers | Yes, since they are large suppliers, that is, with great capacity | Increase in raw materials due to COVID-19 | Increased supplier communication about innovative processes |
Company B | - Remodeling of the delivery procedure - Identical products | Daily contact with intermediaries | Satisfied customers | Securing market share | - Weekly meetings - Daily phone calls | Regular contacts and good relationships with suppliers to obtain the product | Yes. Some suppliers are always able to deliver immediately | Brexit, with the closing of the borders between France and England | Increased supplier knowledge of innovative planting procedures horticultural and fruit treatment |
Company C | - Communications - Alternative suppliers | Alternative suppliers | - Optimise time - Achievement of stipulated deadlines | Assure customers by supplier alternatives | Meetings with stakeholders | A good relationship with suppliers | Yes, depending on the product | COVID-19 | Communication with stakeholders to seek innovative ideas either for products or processes |
Company D | - Contacting Customers - Alternative Solutions | Producers have alternative supplies | The customer is not affected | Existence of diversity of producers | Permanent contact with stakeholders | Search for alternative producers | Yes | Difficulty in delivery times or product maturity | You cannot prepare in a better way because your products have no innovative solution. |
Company E | Have stock | The company is branched into four establishments, so they supply each other in this case | The decreased risk with customer satisfaction | The competitive position of differentiation, by the issue of never lacking product | - Phone calls when necessary - Quarterly meetings | Product alternative | Diversified and available suppliers | COVID-19 | With effective stakeholder communication, we can access innovative ideas that can cover the various areas |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Ferreira, C.; Cardoso, C.; Travassos, M.; Paiva, M.; Pestana, M.; Lopes, J.M.; Oliveira, M. Disorders, Vulnerabilities and Resilience in the Supply Chain in Pandemic Times. Logistics 2021, 5, 48. https://doi.org/10.3390/logistics5030048
Ferreira C, Cardoso C, Travassos M, Paiva M, Pestana M, Lopes JM, Oliveira M. Disorders, Vulnerabilities and Resilience in the Supply Chain in Pandemic Times. Logistics. 2021; 5(3):48. https://doi.org/10.3390/logistics5030048
Chicago/Turabian StyleFerreira, Catarina, Catarina Cardoso, Mariana Travassos, Mariana Paiva, Micaela Pestana, João M. Lopes, and Márcio Oliveira. 2021. "Disorders, Vulnerabilities and Resilience in the Supply Chain in Pandemic Times" Logistics 5, no. 3: 48. https://doi.org/10.3390/logistics5030048
APA StyleFerreira, C., Cardoso, C., Travassos, M., Paiva, M., Pestana, M., Lopes, J. M., & Oliveira, M. (2021). Disorders, Vulnerabilities and Resilience in the Supply Chain in Pandemic Times. Logistics, 5(3), 48. https://doi.org/10.3390/logistics5030048