Journal ArticleDOI
OR/MS Models for Supply Chain Disruptions: A Review
TLDR
A review of the OR/MS literature on supply chain disruptions can be found in this paper, where the authors provide an overview of the research questions that have been addressed and a discussion of future research directions.Abstract:
We review the OR/MS literature on supply chain disruptions in order to take stock of the research to date and to provide an overview of the research questions that have been addressed. We first place disruptions in the context of other forms of supply uncertainty and discuss common modeling approaches. We then discuss nearly 150 scholarly works on the topic, organized into six categories: evaluating supply disruptions; strategic decisions; sourcing decisions; contracts and incentives; inventory; and facility location. We conclude with a discussion of future research directions.read more
Citations
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Journal ArticleDOI
The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics
TL;DR: This paper analyses recent literature and case-studies seeking to bring the discussion further with the help of a conceptual framework for researching the relationships between digitalisation and SC disruptions risks and emerges with an SC risk analytics framework.
Journal ArticleDOI
A critical review on supply chain risk – Definition, measure and modeling ☆
TL;DR: In this paper, existing approaches for quantitative supply chain risk management are reviewed by setting the focus on the definition of supply chain risks and related concepts, and a review of these approaches is presented.
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Review of quantitative methods for supply chain resilience analysis
TL;DR: This paper conceptualizes and comprehensively presents a systematic review of the recent literature on quantitative modeling the SCR while distinctively pertaining it to the original concept of resilience capacity.
Journal ArticleDOI
Viable supply chain model: integrating agility, resilience and sustainability perspectives-lessons from and thinking beyond the COVID-19 pandemic.
TL;DR: The VSC model can help firms in guiding their decisions on recovery and re-building of their SCs after global, long-term crises such as the COVID-19 pandemic and can be of value for decision-makers to design SCs that can react adaptively to both positive changes and negative changes.
Journal ArticleDOI
Ripple effect in the supply chain: an analysis and recent literature
TL;DR: The reasons and mitigation strategies for the ripple effect in the supply chain are observed and a ripple effect control framework that includes redundancy, flexibility and resilience analysis is presented.
References
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Journal ArticleDOI
Perspectives in supply chain risk management
TL;DR: In this paper, the authors present a review of various quantitative models for managing supply chain risks and relate various supply chain risk management strategies examined in the research literature with actual practices, highlighting the gap between theory and practice, and motivate researchers to develop new models for mitigating supply chain disruptions.
Journal ArticleDOI
Managing Disruption Risks in Supply Chains
TL;DR: In this paper, the authors provide a conceptual framework that reflects the joint activities of risk assessment and risk mitigation that are fundamental to disruption risk management in supply chains, and consider empirical results from a rich data set covering the period 1995-2000 on accidents in the U. S. Chemical Industry.
Journal Article
Managing Risk To Avoid Supply-Chain Breakdown
Sunil Chopra,ManMohan S. Sodhi +1 more
TL;DR: In this article, a "what if?" team exercise called "stress testing" is used to identify potentially weak links in the supply chain and then select the best mitigation strategy: holding "reserves," pooling inventory, using redundant suppliers, balancing capacity and inventory, implementing robust backup and recovery systems, adjusting pricing and incentives, bringing or keeping production in-house, and using Continuous Replenishment Programs (CRP), Collaborative Planning, Forecasting, and other supply-chain initiatives.
Journal ArticleDOI
The Sample Average Approximation Method for Stochastic Discrete Optimization
TL;DR: A Monte Carlo simulation--based approach to stochastic discrete optimization problems, where a random sample is generated and the expected value function is approximated by the corresponding sample average function.
Book
Foundations of Inventory Management
TL;DR: In this article, one item with a constant demand rate and time-varying demands is described. But, the model is based on a single item with constant lead times.