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Personal profile

Quote

“Most companies have a lot of data and it is critical for them to know how to use it. My work is on developing mathematical models to integrate real-world data with operational decision making.”

Research profile

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.

Academic background

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).

Affiliated with

Member of INFORMS, MSOM (Manufacturing and Service Operations) Society, and I-SIM (Informs Simulation Society).

Partners in (semi-)industry

Philips Consumer Lifestyle, Philips Healthcare, Nexperia, Validaide, OrangeGames.

Education/Academic qualification

Carnegie Mellon University

Fingerprint Dive into the research topics where Alp Akcay is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Random variables Engineering & Materials Science
Stochastic systems Engineering & Materials Science
Stochastic Simulation Mathematics
Distribution functions Engineering & Materials Science
Probability distributions Engineering & Materials Science
Uncertainty Mathematics
Engineers Engineering & Materials Science
Planning Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2015 2019

Data Analytics for Trade Lane Risk Assessments and Control (DARA)

Jansen, R., Jansen, R., Akçay, A., Akçay, A., Benckhuijsen - Mertens, P., Zhang, Y. & Faghih Roohi, S.

1/06/1731/05/19

Project: Research direct

MANTIS (662189 ECSEL-2014-1) Cyber Physical System based Proactive Collaborative Maintenance

van Houtum, G., Sartorius - ter Haar, M., Jansen, R., Jansen, R., Akçay, A., Akçay, A. & Xiao, G.

1/05/1531/07/18

Project: Research direct

Research Output 2011 2019

The benefits of state aggregation with extreme-point weighting for assemble-to-order systems

Nadar, E., Akcay, A., Akan, M. & Scheller-Wolf, A., 1 Jul 2018, In : Operations Research. 66, 4, p. 1040-1057 18 p.

Research output: Contribution to journalArticleAcademicpeer-review

Agglomeration
Assemble-to-order
Order systems
Weighting
Cost functions
1 Citation (Scopus)

Input uncertainty in stochastic simulations in the presence of dependent discrete input variables

Akcay, A. & Biller, B., 2018, In : Journal of Simulation. 12, 4, p. 295-306

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Stochastic Simulation
Uncertainty
Dependent
Correlation Matrix
Credible Interval
3 Citations (Scopus)

Simulation of inventory systems with unknown input models: a data-driven approach

Akcay, A. & Corlu, C. G., 2017, In : International Journal of Production Research. 55, 19, p. 5826-5840

Research output: Contribution to journalArticleAcademicpeer-review

Simulation
Inventory systems
Random variables
Probability distributions
Distribution functions
24 Citations (Scopus)

Analyzing the solutions of DEA through information visualization and data mining techniques: SmartDEA framework

Akcay, A., Ertek, G. & Buyukozkan, G., Jul 2012, In : Expert Systems with Applications. 39, 9, p. 7763-7775

Research output: Contribution to journalArticleAcademicpeer-review

20 Citations (Scopus)

Improved inventory targets in the presence of limited historical demand data

Akcay, A., Biller, B. & Tayur, S., 18 Feb 2011, In : Manufacturing & Service Operations Management. 13, 3, p. 297-309 14 p.

Research output: Contribution to journalArticleAcademicpeer-review

Activities 2018 2018

  • 1 Invited talk

Research trends in smart maintenance: Data, models, and decisions.

Alp E. Akçay (Speaker)
21 Nov 2018

Activity: Talk or presentation typesInvited talkProfessional

Courses

Manufacturing Technology

1/09/16 → …

Course

Student theses

A data-driven decision support model for planned maintenance reduction in healthcare

Author: van Lohuizen, T., 30 Nov 2018

Supervisor: Akcay, A. (Supervisor 1) & van Jaarsveld, W. (Supervisor 2)

Student thesis: Master

File

A data driven inventory decision model for the early life cycle of product offerings in an e-tail environment

Author: van Bussel, J., 31 Aug 2017

Supervisor: Akçay, A. (Supervisor 1), Mutlu, N. (Supervisor 2) & van Jaarsveld, W. (Supervisor 2)

Student thesis: Master

File

Ambient temperature prediction of pharmaceutical air freight

Author: Terpstra, B., 28 Feb 2019

Supervisor: Zhang, Y. (Supervisor 1) & Akcay, A. (Supervisor 2)

Student thesis: Master

File

A step-by-step approach to predictive maintenance

Author: Singer, W., 31 May 2019

Supervisor: Flapper, S. D. (Supervisor 1) & Akcay, A. (Supervisor 2)

Student thesis: Master

File