Alp Akcay is an assistant professor in the Operations, Planning, Accounting and Control (OPAC) group at Eindhoven University of Technology. His research interests include statistical decision making under uncertainty, simulation design and analysis, and approximate dynamic programming with applications in manufacturing, maintenance, and supply chain management. He is a core-team member of the smart maintenance and manufacturing research program at Data Science Center Eindhoven.
Alp Akcay received his PhD in Operations Management from the Tepper School of Business at Carnegie Mellon University (2013). The title of his PhD dissertation is “Statistical Estimation Problems in Inventory Control.” Dr. Akcay holds an MSc in Industrial Engineering from Sabanci University (2008) and a BSc in Mechanical Engineering from Boğaziçi University (2006). Prior to joining TU Eindhoven, dr. Akcay has worked as an assistant professor at Bilkent University (2013-2015).
The benefits of state aggregation with extreme-point weighting for assemble-to-order systemsOperations Research (2018)
Input uncertainty in stochastic simulations in the presence of dependent discrete input variablesJournal of Simulation (2018)
Simulation of inventory systems with unknown input models: a data-driven approachInternational Journal of Production Research (2017)
Analyzing the solutions of DEA through information visualization and data mining techniquesExpert Systems with Applications (2012)
Improved inventory targets in the presence of limited historical demand dataManufacturing & Service Operations Management (2011)