Supply Chain Analytics
Research in the Supply Chain Analytics program investigates challenging topics in descriptive, prescriptive and predictive analytics inspired by real-life problems and novel strategies in logistics and operations management. The impact of Data Science on Supply Chain Functions is rapidly growing. Some of the most promising applications that today’s students are working on are expected to disrupt many supply chain functions, including demand forecasting, distribution, call centers, procurement, and pricing.
Supply Chain Analytics
Research in the Supply Chain Analytics program investigates challenging topics in descriptive, prescriptive and predictive analytics inspired by real-life problems and novel strategies in logistics and operations management. The impact of Data Science on Supply Chain Functions is rapidly growing. Some of the most promising applications that today’s students are working on are expected to disrupt many supply chain functions, including demand forecasting, distribution, call centers, procurement, and pricing.
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Faculty
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Key publications
Hoogeboom, M., Battarra, M., Erdoǧan, G. and Vigo, D. (2016). Erratum: Exact Algorithms for the Clustered Vehicle Routing Problem (Operations Research (2014) 62:1 (58-71)) Operations Research, 64(2):456--457.
Roberti, R., Bartolini, E. and Mingozzi, A. (2015). The fixed charge transportation problem: An exact algorithm based on a new integer programming formulation Management Science, 61(6):1275--1291.
Buson, E., Roberti, R. and Toth, P. (2014). A reduced-cost iterated local search heuristic for the fixed-charge transportation problem Operations Research, 62(5):1095--1106.
Battarra, M., Erdogan, G. and Vigo, D. (2014). Exact Algorithms for the Clustered Vehicle Routing Problem Operations Research, 62(1):58--71.
Baldacci, R., Mingozzi, A., Roberti, R. and Calvo, R. (2013). An exact algorithm for the two-echelon capacitated vehicle routing problem Operations Research, 61(2):298--314.