Purpose -A key process involved in supply chains is a priori evaluation of potential partners, not only in terms of expected cost (which includes exchange rate risk), but also in terms of other risks. These risks can include product failure, producing company failure (such as bankruptcy), and even political risk. This paper aims to compare tools to aid supply chain organizations in measuring, evaluating, and assessing risk in this environment. Design/methodology/approach -The authors demonstrate the use of DEA, followed by a DEA simulation model and also a Monte Carlo simulation using a risk-adjusted cost concept. Once non-dominated partners are identified by DEA, simulation analysis is applied to compare expected performance of vendors, and the range of expected outcomes can be identified, aiding supply chain core organizations to better select producing partners. Findings -The authors consider strategies of outsourcing to China, as well as other nations under various forms of risk. A scenario analysis using risk management models indicates outsourcing to Great China is a good strategy. Originality/value -The authors conducted a thorough review of supply chain risk management and identified criteria and various risk performance measures for outsourcing under risk and uncertainty in a supply chain. The benefit of outsourcing to China is discussed. The authors have designed an international outsourcing problem, where foreign exchange risk, product failure, organizational failure, and political risks are considered.
scite is a Brooklyn-based startup that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.