A multi-stage stochastic programming approach for supply chain risk mitigation via product substitution

2020 ◽  
Vol 149 ◽  
pp. 106786
Author(s):  
Seyed Mahdi Ghorashi Khalilabadi ◽  
Seyed Hessameddin Zegordi ◽  
Ehsan Nikbakhsh
Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 995-1003
Author(s):  
Li Meng

The internet of things (IoT) and social media provide information related to disasters that could help businesses to strategically mitigate risks and optimize their supply chain during difficult times. This paper proposes a framework to show how business or supply chain enterprisers can collaborate with community and government in disaster supply chain risk management. Businesses must have an established risk mitigation plan, update it periodically and implement promptly. Community collaboration can build a resilient society, and government should play an important role in leading both financial and non-financial support during natural disasters and pandemic management. The IoT and social media are new mechanisms as a vocal point to enable government, ensuring trustworthiness of information, to provide the community with a means to express needs and feedback, and to assist business services to meet the changeable preferences under risk threats. Social media can be a collaborative effort between all the parties and helps make value added decisions efficiently in supply chain risk management.


2020 ◽  
Author(s):  
Eyyüb Y. Kıbış ◽  
I. Esra Buyuktahtakin ◽  
Robert G. Haight ◽  
Najmaddin Akhundov ◽  
Kathleen Knight ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdelkader Daghfous ◽  
Abroon Qazi ◽  
M. Sajid Khan

PurposeThe literature on supply chain risk management (SCRM) has investigated a multitude of supply chain risks. This paper aims to make a case for the importance of managing the risk of knowledge loss in the supply chain management (SCM) function and incorporating knowledge loss as a critical risk within the SCRM process.Design/methodology/approachThis paper adopts a knowledge-based view of the SCRM process and attempts to bring to light insights based on a synthesis of the relevant literature. The authors conducted a systematic literature review of peer-reviewed articles published between 1998 and 2019. Further, a case study was conducted to illustrate the significance of the risk of knowledge loss in the SCM function in terms of how it operates and why it has such a significant impact on performance.FindingsKnowledge loss is a relatively neglected type of supply chain risk that can be added to the existing typologies. This paper argues that knowledge loss in the SCM function has the propensity to significantly impact the performance of the focal firm, exacerbate other types of supply chain risk and impede risk mitigation efforts. We put forth several strategies that supply chain managers can adopt to mitigate the risk of knowledge loss in their function.Research limitations/implicationsThis paper generates an exploratory opening that could pave the way for a systematic theory of knowledge loss as a supply chain risk and future empirical research. The study culminates in a number of important insights and initiatives for supply chain managers to recognize and manage the risk of knowledge loss.Originality/valueThis paper argues for the importance of incorporating the risk of knowledge loss in SCRM research and practice. It also provides an examination of some promising angles for future research in SCRM from a knowledge-based perspective.


Author(s):  
H.P. Borgman ◽  
Wilfred Rachan

This chapter is the outcome of our consolidated learning on “Supply Chain Risk Management” and “Action Learning in Supply Chains” over a period from 2006 to 2010. We have also published several papers in this domain; please refer to the bibliography section. Although there is a substantial volume of literature on the topic of Supply Chain Management and no lack of coverage today on Risk Management, our motivation was guided by our desire to put into context, both from an academic and Industry perspective, a practical methodology for supply chain risk mitigation based on a proven theory of learning. This methodology will enable industry practitioners of supply chain management to comprehend and act upon risk i.e. identification, assessment, response, monitoring and evaluation. Risk Management in Supply Chain is not a “one-off” transaction but rather an ongoing practice of problem solving and organizational learning i.e. a continuous methodology for sustainable improvement. The methodology provides a means to structure past problems as knowledge to be used by the organization and increase preparedness for facing new challenges. In a global competitive market, successful management of risk in supply chain can be the difference between corporate success and failure.


2021 ◽  
pp. 105-122
Author(s):  
Ramesh Krishnan ◽  
Phi Yen Phan ◽  
Arshinder Kaur ◽  
Sanjoy Kumar Paul

Sign in / Sign up

Export Citation Format

Share Document