Risk assessment and management for supply chain networks: A case study
By G. Tuncel, Gülgün Alpan-Gaujal. Computers in industry (Print), 2010
332 citations recorded by the source corpus.
Subfields: Safety, Risk, Reliability and Quality, Statistics and Probability, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/4afcec2ff8b2001854f8916747cda0f9c3bf011a
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Citations in the corpus
- Network resilience (2020, unknown): “[716] have”
- Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review (2019, background): “A timed Petri net based approach has been proposed by Tuncel and Alpan (2010) for risk assessment and real-time control of supply chain (SC) networks.”
- Supply chain risk analysis with mean-variance models: a technical review (2016, background): “The basic idea behind Markowitz’s MV framework is to consider 1This approach is still employed today, see e.g., Chen and Yano (2010), Tuncel and Alpan (2010), Dong and Tomlin (2012), and Gumus et al. (2012). both the expected payoff (i.e. the “mean”) and the variation of payoff (i.e., the…”