Supply chain risk, simulation, and vendor selection
By Desheng Dash Wu, David L. Olson. 2008
343 citations recorded by the source corpus.
Subfields: Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/64297498e5994115038f912ac589ff982dfd268c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Dmitry A. Ivanov
- Alexandre Dolgui
- Constantin Blome
- Adel Hatami-Marbini
- James Nga-Kwok Liu
- Stefan Nickel
- Junyi Chai
- Madjid Tavana
In Strategy and Management
- Dmitry A. Ivanov
- Alexandre Dolgui
- Constantin Blome
- Adel Hatami-Marbini
- James Nga-Kwok Liu
- Stefan Nickel
- Junyi Chai
- Madjid Tavana
Citations in the corpus
- A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020, positive): “Simulation has been predominantly applied to problems in this class (Wu and Olson 2008; Schmitt and Singh 2012; Ivanov 2017; Schmitt et al. 2017; Ivanov and Rozhkov 2017; Chen et al. 2017; Macdonald et al. 2018; Ivanov 2019b).”
- Supply chain risk management and artificial intelligence: state of the art and future research directions (2018, neutral): “Two studies put different approaches head-to-head for the problem of supplier selection under risk but do not propose a full-fledged hybrid: Wu and Olson (2008) compare chance-constrained programming, data envelopment analysis and multi-objective programming, while Li and Zabinsky (2011) compare…”
- A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making (2011, methodology): “Azadeh and Alem (2010) also used this fuzzy DEA method (Azadeh et al., 2008) for vendor selection problem which was taken from Wu and Olson (2008).”
- Application of decision-making techniques in supplier selection: A systematic review of literature (2013, methodology): “We summarize the categories based on the relatedness of the study as follows: (1) Stochastic formulations: Wu & Olson (2008a), Wu & Olson (2008b), Wu (2010), Lin and Yeh (2010), Li and Zabinsky (2011), and Yang et al. (2011); (2) Probabilistic formulations: Zhang and Ma (2009), Dogan and Aydin…”
- Supply Chain Risk Management in Financial Crises – A Multiple Case-Study Approach (2011, positive): “As such, Wu and Olson (2008) used simulation to assess risk evaluation models within supply chains.”
- A critical review on supply chain risk – Definition, measure and modeling ☆ (2015, background): “Other sources of uncertainty are referred to as supply risk [37,43,44,78,79,86,123,125,159], demand risk [6,14,37,50,79, 111,125,134], or risk of (total) cost [6,50,155].”
- A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty (2011, background): “There are lots of papers to deal with enterprise risk management (see Wu and Olson, 2008, 2009a, 2009b, 2010a, 2010b; Wu et. al., 2010).”