Insights From Supply Chain Disruptions in the COVID-19 Era

2022 ◽  
pp. 62-85
Author(s):  
Türkan Müge Özbekler

The COVID-19 pandemic has created a devastating impact on supply chains. Especially, transportation disruptions, the slowdown in manufacturing, supply-demand imbalances, operational inefficiency in last-mile, and deficiencies in dealing with the crisis can be seen as main headings. This chapter aims to reveal the problems and learn lessons in these areas where significant risks are faced. During the COVID era, the need for resilient supply chains that are not affected by instantaneous changes has come to the fore. Accordingly, the second aim of the chapter is to offer solutions toward the short, medium, and long terms of the first-mile, production, and last-mile processes as enhancing the responsiveness of supply chains by the elements of supply chain resilience. This study is prepared as a review article in an exploratory approach through the supply chain literature and current practical examples. As a result of the study, digital-intensive business models, collaborative network design, and sustainability are highlighted as the main concepts to reach more resilient networks.

2021 ◽  
Author(s):  
Daniel Trauth ◽  
Johannes Schleifenbaum ◽  
Kristian Arntz ◽  
Gerret Lukas ◽  
Philipp Niemietz ◽  
...  

Resilience - the ability to deal with crises and recover from their effects as quickly as possible - has been glorified since the COVID-19 pandemic as the new miracle cure against the effects for disruptions that occur in the future. Especially for Germany as an export-oriented location, the resilient design of supply chains is an economic success factor. However, a strategic anchoring of resilience thinking in management as well as the use of future-oriented technologies are necessary to harness the potentials of a robust, agile, adaptive and integrative supply chain. Additive manufacturing, due to its digital "DNA" and great design freedom, has the potential to more efficiently create or drive supply chain resilience. Redundancy due to inventories, for example, becomes obsolete due to the location-independent, flexible production of required products without long start-up times on the basis of computer-aided design files. Companies in a supply chain also do not have to bear the investment risk for additive manufacturing machines due to new, data-based business models. For many manufacturing companies and entrepreneurial alliances in the form of a supply chain, the question is therefore increasingly whether additive manufacturing technology can be increasingly used as an instrument to increase resilience along the supply chain in the future. The study "Resilience in Supply Chains - How Additive Manufacturing Enables a Resilient Supply Chain" sheds light on this economic and also ecologically valuable question and presents potential data-driven business models for the technology sector.


Author(s):  
Vladimir Shcherbakov ◽  
Galina Silkina

The customer-oriented approach is actively developing within the global trend of the modern industrial revolution that is Industry 4.0. The focus on customer interests has led to cooperation and integration in supply chains, improving their efficiency and increasing transparency, awareness, and trust. However, an issue emerging in this scenario is that conventional supply chain management (SCM) procedures are unable to identify the potential proposal for a particular user. Modern businesses need to build integrated supply chains, which require well-developed infrastructure and easily available complementary services, relying on logistics as a networking technology. Supply chains of this generation grow from traditional individual desynchronized economic relations (linear models with some feedback and the simplest network configurations) to scalable, adaptable, harmonized partner networks. The logistics potential allows additional income by reducing the total costs of participants in the network, thus increasing the competitiveness of companies; this can be implemented based on new models of interaction in the current digital environment through, firstly, system integration. Our goal consists of identifying the essential characteristics of system integration and substantiating the methods for its implementation in the digital economy. The study is based on the analysis of global best practices, considering the reports from leading consulting companies and competent analytical agencies. We have confirmed that the role of a virtual system integrator of supply chains belongs to logistics platforms; the effects of a transition to platform business models are discussed in detail.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin Modgil ◽  
Shivam Gupta ◽  
Rébecca Stekelorum ◽  
Issam Laguir

PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.


2018 ◽  
Vol 140 (10) ◽  
pp. 30-35 ◽  
Author(s):  
Alan S. Brown

For 30 years, additive manufacturing has made all sorts of promises. Yet machines remained slow, materials expensive, and printers too inconsistent for critical parts. And additive was costly. Today, however, the technology is turning that past on its head. While additive manufacturing is usually the most expensive way to make any part, it makes economic sense for supply chains. Which is why manufacturers of everything from aircraft and rolling stock to appliances, industrial equipment, and medical devices are looking at 3-D supply chain solutions—as are the U.S. Marines and UPS. This special report looks at how additive manufacturing is disrupting business models and transforming supply chains.


2021 ◽  
Vol 13 (19) ◽  
pp. 10573
Author(s):  
Muhammad Umar ◽  
Mark Wilson

This study builds on the extant literature of supply chain collaboration, specifically, vertical and horizontal collaboration, and examines how these capabilities influence the resilience of supply chains that experience regular natural disasters in rural communities, as their economic wellbeing relies heavily on the continuation of these supply chains. A multiple case study approach has been adopted to investigate the role of collaboration within food supply chains of two different South Asian regions. This context was selected because these regions are prone to regular natural disruptions, and these food supply chains also play a crucial role in the disaster relief process. The data revealed that effective communication, mutual dependence, information sharing, informal financial support, and trust are some of the components of supply chain collaboration that enhance the overall resilience of supply chains in natural disasters.


Logistics ◽  
2022 ◽  
Vol 6 (1) ◽  
pp. 3
Author(s):  
João M. Lopes ◽  
Sofia Gomes ◽  
Lassana Mané

The constraints imposed by the pandemic COVID-19 increased the risks of the disruption of supply chains, bringing new challenges to companies. These effects were felt more intensely in less-developed countries, which are highly dependent on imports of products and raw materials. This study aims to assess the impact of supply chain resilience in a less-developed country (Guinea-Bissau) using complex adaptive system theory. We used a qualitative methodology through multiple case studies. Semi-structured interviews were conducted with four companies. The semi-structured script contains questions about supply chain disruptions, vulnerabilities and resilience. The main results show that the companies in Guinea-Bissau, due to their dependence on the outside world and the absence of formal, larger and more diversified supply chains, suffered serious consequences with the disruption imposed by the pandemic. It was also concluded that the more resilient the supply chain, the fewer the impacts of crisis events and that the resilience of companies at this level depends on their obtaining competitive advantages over their competitors. The main practical implications of this study are the need to formalize the supply chain, diversify the supply of services and products of companies dependent on the exterior, adopt metrics that allow for the early detection of situations of supply chain disruption, effectively manage stocks and promote proactive crisis resolution strategies. Studies on the impact of resilience on supply chains in crises are scarce, especially on companies located in underdeveloped countries.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings COVID-19 has had a dramatic and damaging effect on supply chains and distributors. This briefing considers why, and what strategies there may be to cope. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Umar ◽  
Mark Wilson ◽  
Jeff Heyl

Purpose This study aims to build on the extant literature of knowledge management (KM) capabilities, notably infrastructure and processes, and examine how these capabilities influence the resilience of supply chains that experience regular natural disasters. Design/methodology/approach A multiple case study approach has been adopted to investigate the role of KM within foods supply chains of two different South Asian regions. This context was selected as these regions are prone to regular natural disruptions and these food supply chains also play a crucial role in the relief process. Findings The data shows that supply chain resilience can be enhanced when supply chain members collaborate to generate, share and use knowledge. These KM processes are greatly facilitated by KM infrastructure capabilities. IT advancements, a cohesive collaborative culture and the presence of strong central hubs firms in the network facilitate knowledge generation, knowledge sharing and knowledge utilisation, thus building supply chain resilience. Given the abductive nature of this research, these findings form the most likely associations, but with a degree of uncertainty. Hence, the authors provide propositions for further detailed research in this important area. Originality/value This study is one of the few, as far as the authors can tell, that seeks to examine the influence of KM on the resilience of supply chains. Further, uncovering the sub-structure of KM in this context adds to this emerging body of literature.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maureen S. Golan ◽  
Benjamin D. Trump ◽  
Jeffrey C. Cegan ◽  
Igor Linkov

PurposeDespite rapid success in bringing SARS-CoV-2 vaccines to distribution by multiple pharmaceutical corporations, supply chain failures in production and distribution can plague pandemic recovery. This review analyzes and addresses gaps in modeling supply chain resilience in general and specifically for vaccines in order to guide researchers and practitioners alike to improve critical function of vaccine supply chains in the face of inevitable disruptions.Design/methodology/approachSystematic review of the literature on modeling supply chain resilience from 2007 to 2020 is analyzed in tandem with the vaccine supply chain manufacturing literature. These trends are then used to apply a novel matrix analysis to seven Securities and Exchange Commission (SEC) annual filings of pharmaceutical corporations involved in COVID-19 vaccine manufacture and distribution.FindingsPharmaceutical corporations favor efficiency as they navigate regulatory, economic and other threats to their vaccine supply chains, neglecting resilience – absorption, adaptation and recovery from inevitable and unexpected disruptions. However, explicitly applying resilience analytics to the vaccine supply chain and further leveraging emerging network science tools found in the academic literature, such as artificial intelligence (AI), stress tests and digital twins, will help supply chain managers to better quantify efficiency/resilience tradeoffs across all associated networks/domains and support optimal system performance post disruption.Originality/valueThis is the first review addressing resilience analytics in vaccine supply chains and subsequent extension to operational management through novel matrix analyses of SEC Filings. The authors provide analyses and recommendations that facilitate resilience quantification capabilities for vaccine supply chain managers, regulatory agencies and corporate stakeholders and are especially relevant for pandemic response, including application to the SARS-CoV-2 vaccines.


2012 ◽  
pp. 1703-1723
Author(s):  
Cuauhtémoc Sánchez-Ramírez ◽  
Giner Alor-Hernandez ◽  
Guillermo Cortes-Robles ◽  
Jorge Luis García-Alcaráz ◽  
Alejandro Rodríguez-González

The Supply Chain Management is a strategy that has allowed the organizations that have established in their business models a competitive advantage. The supply chain is a network of elements, where different key process such as: procurement, manufacturing, distribution, inventory, customer services, and information should be managed and controlled to meet customer requirements. To achieve this goal, different tools have been developed to help to the key processes of the supply chain; one of these tools is the e-procurement system, which helps an organization to control the interactions with the most crucial suppliers.


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