Algorithm for Customers Loss Minimization with Possible Supply Chain Disruption

2020 ◽  
pp. 142-149
Author(s):  
Elena Lezhnina ◽  
Yulia Balykina ◽  
Timur Lepikhin
Keyword(s):  
Supply Chain ◽  
Loss Minimization ◽  
Supply Chain Disruption

Analysis of the Supply Chain Disruption Risks in the Malaysian Automotive Remanufacturing Industry-a Case Study

2020 ◽  
Vol 12 (05) ◽  
Author(s):  
Nuramilawahida Mat Ropi ◽  
◽  
Hawa Hishamuddin ◽  
Dzuraidah Abd Wahab ◽  
◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Disruption ◽  
Disruption Risks

scholarly journals Heeding Supply Chain Disruption Warnings: When And How Do Cross‐Functional Teams Ensure Firm Robustness?

2021 ◽  
Author(s):  
Thomas A. De Vries ◽  
Gerben S. Van Der Vegt ◽  
Kirstin Scholten ◽  
Dirk Pieter Van Donk
Keyword(s):  
Supply Chain ◽  
Supply Chain Disruption ◽  
Functional Teams

scholarly journals Mathematical model of the feedback between global supply chain disruption and COVID-19 dynamics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xingyu Li ◽  
Amin Ghadami ◽  
John M. Drake ◽  
Pejman Rohani ◽  
Bogdan I. Epureanu
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Care Delivery ◽  
Global Supply Chain ◽  
Economic Losses ◽  
Chain Model ◽  
Supply Chain Disruption ◽  
Disease Networks ◽  
Resource Allocation Strategy ◽  
The Impact

AbstractThe pandemic of COVID-19 has become one of the greatest threats to human health, causing severe disruptions in the global supply chain, and compromising health care delivery worldwide. Although government authorities sought to contain the spread of SARS-CoV-2, by restricting travel and in-person activities, failure to deploy time-sensitive strategies in ramping-up of critical resource production exacerbated the outbreak. Here, we developed a mathematical model to analyze the effects of the interaction between supply chain disruption and infectious disease dynamics using coupled production and disease networks built on global data. Analysis of the supply chain model suggests that time-sensitive containment strategies could be created to balance objectives in pandemic control and economic losses, leading to a spatiotemporal separation of infection peaks that alleviates the societal impact of the disease. A lean resource allocation strategy can reduce the impact of supply chain shortages from 11.91 to 1.11% in North America. Our model highlights the importance of cross-sectoral coordination and region-wise collaboration to optimally contain a pandemic and provides a framework that could advance the containment and model-based decision making for future pandemics.

Minimizing supply chain disruption risk through enhanced flexibility

2009 ◽  
Vol 39 (5) ◽  
pp. 404-427 ◽  
Author(s):  
Joseph B. Skipper ◽  
Joe B. Hanna
Keyword(s):  
Supply Chain ◽  
Multiple Regression ◽  
Planning Process ◽  
Research Effort ◽  
Risk Exposure ◽  
Contingency Planning ◽  
Management Support ◽  
Supply Chain Disruption ◽  
Content Type ◽  
Disruption Risk

PurposeThe purpose of this paper is to examine the use of a strategic approach (contingency planning) to minimize risk exposure to a supply chain disruption. Specifically, the relationship between several attributes of a contingency planning process and flexibility are examined.Design/methodology/approachThis effort develops a model that will provide both researchers and practitioners a means of determining the attributes with the highest relationship to flexibility. The model is then tested using multiple regression techniques.FindingsBased on the sample used in this survey, top management support, resource alignment, information technology usage, and external collaboration provide the largest contributions to flexibility. Flexibility has been shown to enhance the ability to minimize risk exposure in the event of a supply chain disruption.Research limitations/implicationsIn this research effort, the multiple regression results produced an R2 of 0.45, indicating that additional variables of interest may need to be identified and investigated. Furthermore, a wider range of respondents could make the results more generalizable.Practical implicationsThis effort will help to allow managers at multiple levels to understand the primary planning attributes to use to increase flexibility.Originality/valueThe paper develops a model that can be used to identify the specific areas that can lead to improved flexibility. Based on the model, managers, and planners can develop appropriate strategies for minimizing risk exposure in the event of a supply chain disruption.

Supply chain disruption for crude oil due to the effect of Covid-19 pandemic: Evidence from Vietnam

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Giang Hoang Huong ◽  
Son Ta Anh ◽  
Luan Thanh Le ◽  
Bui Duy Linh ◽  
Ngoc Vu Thi Minh
Keyword(s):  
Supply Chain ◽  
Crude Oil ◽  
Supply Chain Disruption

Supply Chain Disruption Management: Severe Events, Recovery, and Performance

2013 ◽  
Vol 34 (4) ◽  
pp. 270-288 ◽  
Author(s):  
John R. Macdonald ◽  
Thomas M. Corsi
Keyword(s):  
Supply Chain ◽  
Disruption Management ◽  
Supply Chain Disruption ◽  
And Performance
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