2010
DOI: 10.1287/msom.1090.0279
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Mitigating Supply Risk: Dual Sourcing or Process Improvement?

Abstract: Surveys suggest that supply chain risk is a growing issue for executives and that supplier reliability is of particular concern. A common mitigation strategy observed in practice is for the buying firm to expend effort improving the reliability of its supply base. We explore a model in which a firm can source from multiple suppliers and/or exert effort to improve supplier reliability. For both random capacity and random yield types of supply uncertainty, we propose a model of process improvement in which impro… Show more

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Cited by 312 publications
(208 citation statements)
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References 37 publications
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“…Some papers, however, do focus on how a company should respond to supply and demand risks (Demirel 2012;Mitchell 1995;Tomlin 2006;Wang et al 2010;Zsidisin et al 2004;Zsidisin et al 2000). Flexible strategies are most commonly discussed by scholars as a way to mitigate risks in industrial supply chains (Sodhi and Tang 2012;Tang and Tomlin 2008).…”
Section: Research Framework and Methodsmentioning
confidence: 99%
“…Some papers, however, do focus on how a company should respond to supply and demand risks (Demirel 2012;Mitchell 1995;Tomlin 2006;Wang et al 2010;Zsidisin et al 2004;Zsidisin et al 2000). Flexible strategies are most commonly discussed by scholars as a way to mitigate risks in industrial supply chains (Sodhi and Tang 2012;Tang and Tomlin 2008).…”
Section: Research Framework and Methodsmentioning
confidence: 99%
“…The resource allocation based on managerial decision making also influences the operating choices and conditions such as the technical equipment and machinery as well as the production capacity and access to the raw materials needed in the product and process development. A major slowdown in the manufacturing process can result from inefficient and late supply of input factors and raw material (Richardson 1993;Wang et al 2010). Alternatively, a smooth supply operation and well-managed inventory (lean production) stimulate production as scheduled (Chopra and Sodhi 2004).…”
Section: Operational Determinantsmentioning
confidence: 99%
“…Recently, the existing work on supply uncertainty can be divided into three categories: (i) the random-yield model, which models the uncertainty by assuming that the supply level is a random function of the input level (e.g. Babich, Ritchken, Burnetas [4]; Deo, Corbett [5]; Federgruen, Yang [6]; Gao, Li, Shou [7]; Kazaz [8]; Parlar, Wang [9]; Swaminathan, Shan-thikumar [10]; Wang, Gilland, Tomlin [11]; Fang & Shou [12]); (ii) the stochastic lead-time model, which models the lead-time as a random variable(e.g. Zipkin [13]), and (iii) the supply disruption model, which typically models the uncertainty of a supplier as one of two states: "up" or "down" (see Arreola-Risa, DeCroix [14]; Meyer, Rothkopf, Smith [15]; Parlar, Berkin [16]; Song, Zipkin [17]; Tomlin [18]).…”
Section: Literature Reviewmentioning
confidence: 99%