2009
DOI: 10.1287/mnsc.1080.0943
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Supply Disruptions, Asymmetric Information, and a Backup Production Option

Abstract: We study a manufacturer that faces a supplier privileged with private information about supply disruptions. We investigate how risk-management strategies of the manufacturer change and examine whether risk-management tools are more or less valuable in the presence of such asymmetric information. We model a supply chain with one manufacturer and one supplier, in which the supplier's reliability is either high or low and is the supplier's private information. On disruption, the supplier chooses to either pay a p… Show more

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Cited by 342 publications
(112 citation statements)
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References 34 publications
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“…Yang et al (2009a), Chaturvedi andMartínez-de-Albéniz (2010), andYang et al (2009b) study asymmetric information about the supplier's likelihood of experiencing a disruption and about the supplier's production cost. Baiman et al (2000) and Lim (1997) study asymmetric information about the supplier's ability to produce non-defective items.…”
Section: Competition Among Buyersmentioning
confidence: 99%
See 3 more Smart Citations
“…Yang et al (2009a), Chaturvedi andMartínez-de-Albéniz (2010), andYang et al (2009b) study asymmetric information about the supplier's likelihood of experiencing a disruption and about the supplier's production cost. Baiman et al (2000) and Lim (1997) study asymmetric information about the supplier's ability to produce non-defective items.…”
Section: Competition Among Buyersmentioning
confidence: 99%
“…Supplier qualification screening/risk discovery: Wan and Beil (2009) Wan and Beil (2008), and Yang et al (2009b). These papers are reviewed in Section 4.…”
Section: Types Of Risk Management Toolsmentioning
confidence: 99%
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“…Several recent works study dual-sourcing motivated by disruption and risk management; see Tomlin and Wang (2005), Babich et al (2007), Yang et al (2012), Gümüs et al (2010). In these works, usually the capacity of each supplier is modeled with a Bernoulli random variable, with some probability the supplier fails to produce any supply and with the remaining probability yields a certain quantity.…”
Section: Related Workmentioning
confidence: 99%