Quantitative models for supply chain planning under uncertainty: a review

Supply-chain uncertainty: a review and theoretical foundation for future research

“…To date the reviews published have tended to either be broad -see for example the review of Supply Chain Management (SCM) by Burgess et al (2006) -or focussed on other specific areas of SCM -such as performance metrics (Gunasekaran and Kobu, 2007) and supply chain flexibility (Stevenson and Spring, 2007). Whilst there has also been a recent literature review of quantitative modelling approaches under uncertainty (Peidro, 2009), no review has yet been published that looks at a broader set of approaches to the management of supply chain uncertainty. In addition, although there has been a review of the supply chain risk area (Juttner et al, 2003), this does not incorporate important contributions to the uncertainty literature or the more recent research in both areas.…”

“…As the mathematical modelling papers have already been recently reviewed and tend to focus on a narrow set of uncertainties (Peidro, 2009), a comprehensive discussion of these papers is not included here. Instead this review focuses on conceptual and empirical studies.…”

Process Supply Chains Management – Where are We? Where to Go Next?

“…A multi-objective mixed-integer non-linear programing (moMINLP) model was developed that measures financial performance through economic value added and credit solvency through a valid credit scoring model. Two comprehensive reviews have been published dealing with the treatment of uncertainty and risk in SCs (Peidro et al, 2009;Klibi and Martel, 2012). The need to further explore quantitative models that integrate different sources of uncertainty as well as new methods to model and solve uncertainty problems and the solution of real problems was recognized as future research areas.…”

Applying Fuzzy Linear Programming to Supply Chain Planning with Demand, Process and Supply Uncertainty

“…In Peidro et al (2008) a literature survey on SC planning under uncertainty conditions by adopting quantitative approaches is developed. Here, we present a summary, extracted from this paper, about the applications of fuzzy set theory and the possibility theory to different problems related to SC planning: SC inventory management: Petrovic et al (1998;1999) describe the fuzzy modelling and simulation of a SC in an uncertain environment.…”