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Application of AI in SCM or Supply Chain 4.0
Preparing Supply Chain for the Next Disruption Beyond COVID-19: Managerial Antecedents of Supply Chain Resilience
Ethan Nikookar, Yoshio Yanadori
International Journal of Operations & Production Management
Article publication date: 10 December 2021
Purpose
COVID-19 once again showed the importance of building resilience in supply chains. Extant research on supply chain resilience management has successfully identified a set of organizational antecedents that contribute to supply chain resilience. However, little is known about the mechanisms by which these antecedents are developed within a firm. Drawing on the dynamic managerial capabilities theory, the current study aims to investigate the critical role that supply chain managers play in developing the organizational antecedents. Specifically, this study shows that supply chain managers’ social capital, human capital and cognition are instrumental to the development of three organizational supply chain resilience antecedents: visibility, responsiveness and flexibility, which subsequently enhance the firm’s supply chain resilience.
The authors employ survey data collected from 598 manufacturing firms in Australia, and Hayes and Preacher’s (2014) parallel multiple mediator model to empirically test the hypotheses.
Findings
The findings of the study establish that supply chain managers’ social capital, human capital and cognition indeed have implications for developing supply chain resilience. Furthermore, the mediators through which managers’ social capital, human capital and cognition improve supply chain resilience are identified in the current study.
Originality/value
The study contributes to the extant literature on supply chain resilience, investigating the role that supply chain managers play in developing the resilience of their firm.
CyberLEO and CyberSatGov
The CyberSat events are dedicated to fostering the necessary discussions to
understand current threat vectors in the satellite and space industry, with the
intent to develop solutions to prioritize and mitigate risks.
MAY 11-13, 2022 | LOS ANGELES, CA
NOV. 1-3, 2022 | RESTON, VA
Based on market demand, CyberLEO will launch in May in Los Angeles, CA and address cybersecurity threats to Low Earth Orbit satellites and emerging technologies. The conversation continues in November with the flagship event CyberSatGov, focusing on
government, military, satellite, and space technologies.
For more information, visit 39937-CyberSat22-Prospectus-Update_2.pdf (cybersatsummit.com)
To register, visit CyberSat 2022 – New Registration (eventscloud.com)
Rocky Mountain Cyberspace Symposium 2022
Rocky Mountain Cyberspace Symposium 2022 (eventsquid.com)
Rocky Mountain Cyberspace Symposium 2022 AFCEA Rocky Mountain Chapter
Mon, February 21, 2022 — Thu, February 24, 2022
The Rocky Mountain Cyberspace Symposium’s theme this year is: “Securing Partnerships and Technologies.” Modern organizations, whether Federal or Commercial, are increasingly interdependent on each other for mission critical pieces of their operations. Events in late 2020 and early 2021 highlighted some of the risks and vulnerabilities that can come with this dependence. Whether it is supply chain risk as demonstrated by the SolarWinds hack, or more traditional exploitations like those seen against Microsoft Exchange; as we all increasingly rely on trusted partners for our success, a critical look at existing and new strategies for securing our shared requirements becomes necessary.
Register at the link above by February 24, 2022 @ 12:00 pm
Four New Foreign Companies Added to Department of Commerce Entity List
NSO Group: Israeli spyware company added to US trade blacklist – BBC News
The US Commerce Department’s Bureau of Industry and Security (BIS) has added four foreign companies to its Entity List. The decision comes as these companies – two from Israel, and one each from Russia and Singapore – were deemed to act in a way that went against the national security or foreign policy interests of the United States. NSO Group and Candiru, the two companies from Israel, reported supplied spyware to foreign governments that used these tools to maliciously target government officials, journalists, businesspeople, activists, academics, and embassy workers.
New Law Tightens U.S. Restrictions on Equipment in Supply Chain
Biden signs legislation to tighten U.S. restrictions on Huawei, ZTE | Reuters
New legislation signed in November – The Secure Equipment Act – will prevent companies that are deemed security threats from receiving new equipment licenses from U.S. regulators. The new law requires the Federal Communications Commission (FCC) to no longer review or approve any authorization application for equipment that poses an unacceptable risk to national security.
Commerce Proposes New Software Supply Chain Safety Criteria
Commerce Proposes New Software Supply Chain Safety Criteria – MeriTalk
The Department of Commerce is proposing new safety criteria for connected software to help better secure information and communications technology and services (ICTS) supply chains, including potential third-party audits of connected software and ICTS transactions, according to a proposed rule posted to the Federal Register Nov. 26.
The Department of Commerce is seeking feedback on the rule in its entirety but is also specifically looking for feedback on how to define what is a “reliable third-party” for the purposes of the rule. The agency also wants to know if its criteria of “third-party auditing of connected software applications” is sufficiently descriptive or whether the agency needs to get more specific.
The agency will accept public comment on the proposed rule until Dec. 30.
The Impact of Supply Chain Complexity on Supply Chain Resilience: the Moderating Effect of Supplier Integration
Microsoft Word – Repaired thesis_Yuhan.docx (rug.nl)
Abstract Purpose – The purpose of this research is to explore the direct relationship between supply chain complexity and supply chain resilience (consisting of robustness and agility), and the possibility of using supplier integration as a capability to absorb the negative effects of supply chain complexity on supply chain resilience.
Design/methodology/approach – Based on the previous literature on the content,
measurement and scope of the concept of three selected variables (supply chain complexity, supplier integration and supply chain resilience), a model is presented and tested by linear regression tests. It utilizes survey data collected from 106 suppliers of two automobile manufacturing firms in China.
Findings – Supply chain complexity has a negative impact on building a resilient supply chain. In addition, supplier integration as the moderator is also proved to positively influence the relationship between supply chain complexity and supply chain
agility in a significant way, while no significant moderating effect has been found on the
direct relationship between supply chain complexity and supply chain robustness.
Practical implications – The study offers valuable insights into the management of supply
chain complexity and the development of supply chain resilience. This research provided
managers with a specific way, integrating suppliers, to accommodate supply chain complexity and increase supply chain agility.
Originality/value – This paper improves the understanding of supply chain complexity
effects and provides a basis for future research, as well as guidance for companies facing
complexity challenges. Specifically, it helps to define the direct relationship between supply
chain complexity and supply chain resilience, and the moderating effect of supplier
integration on the relationship.
Digital Twin Integrated Reinforced Learning in Supply Chain and Logistics
https://www.mdpi.com/2305-6290/5/4/84/pdf
Abstract: Background: As the Internet of Things (IoT) has become more prevalent in recent years, digital twins have attracted a lot of attention. A digital twin is a virtual representation that replicates a physical object or process over a period of time. These tools directly assist in reducing the manufacturing and supply chain lead time to produce a lean, flexible, and smart production and supply chain setting. Recently, reinforced machine learning has been introduced in production and logistics systems to build prescriptive decision support platforms to create a combination of lean, smart, and agile production setup. Therefore, there is a need to cumulatively arrange and systematize the past research done in this area to get a better understanding of the current trend and future research directions from the perspective of Industry 4.0.
Results: The findings are snowballed as a systematic review and later the final data set has been conducted to understand the intensity and relevance of research work done in different subsections related to the context of the research agenda proposed. Conclusion: A framework for data-driven digital twin generation and reinforced learning has been proposed at the end of the paper along with a research paradigm.