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INFORMS Analytics Collections: Analytics in a World of Disruptions
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RISK IDENTIFICATION AND ASSESSMENT

Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain

Published Online:

Interfaces

    Abstract
    Firms are exposed to a variety of low-probability, high-impact risks that can disrupt their operations and supply chains. These risks are difficult to predict and quantify; therefore, they are difficult to manage. As a result, managers may suboptimally ...
A Machine Learning-Based System for Predicting Service-Level Failures in Supply Chains

Published Online:

INFORMS Journal on Applied Analytics

    Abstract
    Despite advanced supply chain planning and execution systems, manufacturers and distributors tend to observe service levels below their targets, owing to different sources of uncertainty and risks. These risks, such as drastic changes in demand, machine ...
Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics

Published Online:

Operations Research

    Abstract
    In cargo logistics, a key performance measure is transport risk, defined as the deviation of the actual arrival time from the planned arrival time. Neither earliness nor tardiness is desirable for customer and freight forwarders. In this paper, we ...
Optimization Modeling and Techniques for Systemic Risk Assessment and Control in Financial Networks

Published Online:

INFORMS TutORials in Operations Research

    Abstract
    Since the financial crisis of 2007–2008, the assessment and control of the systemic risk in financial networks has become one of the most important and active research areas in economics and finance. In this tutorial, we will give a basic introduction to ...
From Pandemic Disruption to Global Supply Chain Recovery

INFORMS

Published Online: April 9, 2020

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