Postdoctoral Research Associate
The Ph.D. program in Industrial Engineering comprises a minimum of 24 credits of course work and a thesis. Upon comletion of the coursework, each Ph.D. student must pass a comprehensive qualifying exam composed of three parts: in-class, take-home and oral. Thesis work starts after suceeding in the qualifying exam. The PhD program has a strong academic orientation. The students are encouraged for making publications and joining internatiobal conferences. Doctoral students may also become research assistants, which helps the students to develop their teaching and English skills.
Supervisor: Yaman Barlas
Abstract: The main purpose of this research is to assess how systemic complexity affects performance and learning in interactive simulation games. In the first part, we focus on explaining the overall game complexity, in terms of three factors: delay, nonlinearity, and feedback. We design experiments involving two types of games: a growth management game, and a stock management game. The growth management game experiments show that the analyzed complexity factors do not necessarily make the game more complex. Also, the effect of repeated trials (learning) is observed only in some games. The growth game experiment also suggest that complexity factors can limit procedural learning by repeated games, or even create “false” learning. On the other hand, in the stock management game experiments, with respect to the simple base game, delay creates worsening in game performances. All subject groups exhibit learning by repeated trials. Nevertheless, there is also evidence that delay prevents transfer of learning to other game versions.
In the second set of experiments, the interaction effects between the complexity factors are tested. The results show that interaction of complexity factors can amplify or damped their effects. In the final part, the effects of complexity on conceptual learning and transfer of learning are analyzed and suggestions are made for improving learning from simulation games.
The thesis also compares the performances of some heuristic decision rules with experimental results. A method is presented for obtaining statistical distribution of scores resulting from a given simulated decision heuristic, which can be used to compare against and assess experimental gaming results. The results show that under some complexity conditions, human subjects do not perform better than the random heuristic —a primitive rule composed of a sequence of random decisions.
The quality of the Industrial Engineering graduate program of Boğaziçi University is nationally and internationally highly reputable. Of the 17 full-time faculty members, 12 have their Ph.D. degrees from respected North American and European universities. The Master of Science program in Industrial Engineering comprises a minimum of 24 credits of course work and a thesis.
Supervisor: Wolfgang Hörmann
Abstract: The main aim of this thesis is to determine the best values of total printing volume of magazines and the amounts that are sent to sales points, through forecasting and determination of optimum service level to be provided. The basic tradeoff in this problem is between the cost incurred by the returns of the unsold copies and the lost sales as a result of insufficient number of copies in a single endpoint. The existing literature sees the problem from the inventory planning perspective and tries to optimize the number of copies to be delivered. Based on the costs, which are actually difficult to estimate and dynamic in nature, they calculate the optimum values. However, due to the practical problems regarding the demand estimation, cost structure and the uncertainty of the future, instead of giving only an optimum delivery amount, the expected values of returns and lost sales, together with their confidence intervals should be provided to the decision makers. The first part of the thesis deals with forecasting the sales endpoint demands for the future issue. Especially, the handling of the censored demand in case of selloutis analyzed. Also, studies are carried out for finding the optimum parameters of theforecasting method. The two main strategies used for planning are mentioned: top-down and bottom-up. The top-down approach first determines the printing volume and distributes it to the endpoints. In the second part, three alternative ways of applying the top-down approach are discussed. The third part presents the existing bottom-up optimization approach that is valid under the assumption of normal probability demanddistribution. It then deduces formulas for finding return and lost sales that would occur. Then, a simulation based approach is described that finds these performance measures, under any demand distribution assumption. In the end, a computer based illustration of these methods is given.
Department of Industrial Engineering in Middle East Technical university is founded in 1969 as the first of its kind in Turkey. At the time of graduation, the program composed of 146 credits including two summer internships and one applied graduation project. The language of education is 100% English. The undergraduate program is among the most popular programs in the country. Only the students in the top 0.3% of those who take nationwide central placement test can succeed to be placed in the department. The program is evaluated by the Accreditation Board of Engineering and Technology (ABET) since 2002. After ABET started to formally accredit international programs, the program declared as "substantially equivalent" to the ABET accredited programs in the USA. Middle East Technical University has been ranked as 183th in World University Ranking by Times Higher Education in 2011, second highest in Turkey.