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Personal profile

Research interests

My research is exact and heuristic algorithms for integer and mixed-integer optimisation problems and their applications to healthcare and logistics problems. My expertise with exact optimisation methods includes branch-and-cut-and-price and cutting plane algorithms, especially for vehicle routing problems. In terms of heuristic optimisation methods, I have utilized variants of local search, tabu search, and large neighbourhood search in my papers and I have a working knowledge of genetic algorithms and neural networks. The areas of application for my research extend to the optimisation of ambulance location, vehicle routing, and airline crew scheduling.

Willing to supervise doctoral students

I am interested in hearing from PhD students who are interested in pursuing quality research in Vehicle Routing, Ambulance Location, Airline Management Problems.

Education/Academic qualification

Industrial Engineering, Doctor of Philosophy, Bilkent University

Award Date: 1 Feb 2007

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Research Output

Algorithms for the Calzedonia workload allocation problem

Battarra, M., Fraboni, F., Thomasson, O., Erdoğan, G., Laporte, G. & Marco, F., 23 Jun 2020, In : Journal of the Operational Research Society.

Research output: Contribution to journalArticle

An Open Source Decision Support System for Facility Location Analysis

Erdoğan, G., Stylianou, N. & Vasilakis, C., 1 Oct 2019, In : Decision Support Systems. 125, p. 1-12 12 p., 113116.

Research output: Contribution to journalArticle

A facility location problem solver and its application in healthcare

Vasilakis, C., Erdoğan, G. & Stylianou, N., 2018.

Research output: Contribution to conferenceAbstract

Scheduling Twin Robots in a Palletising Problem

Thomasson, O., Battarra, M., Erdoğan, G. & Laporte, G., 2018, In : International Journal of Production Research. 56, 1-2, p. 518-542 25 p.

Research output: Contribution to journalArticle

Open Access
  • 3 Citations (Scopus)
    108 Downloads (Pure)