Istanbul Technical University

About: Istanbul Technical University is a education organization based out in Istanbul, Turkey. It is known for research contribution in the topics: Fuzzy logic & Large Hadron Collider. The organization has 12889 authors who have published 25081 publications receiving 518242 citations. The organization is also known as: İstanbul Teknik Üniversitesi & Technical University of Istanbul.

An Analysis of the Portrayal of Gender Roles in Turkish Television Advertisements

Abstract: The aim of this study was to examine gender role portrayals in Turkish television advertising. For this purpose, a content analysis of the advertisements that aired on the selected 6 television channels was carried out. Three hundred fourteen independent advertisements were coded according to general characteristics of the advertisements and demographic and attitudinal/behavioral characteristics of the primary figures. The data show significant gender differences in these 2 groups of variables. The findings are also compared with findings of other research conducted in different cultural settings.

Reverse logistics system design for the waste of electrical and electronic equipment (WEEE) in Turkey

Abstract: Depending on the high consumption in the world, the amount of waste increases. One of the critical waste types to be handled is the electrical and electronic waste (WEEE). The recovery of WEEE is very important both from environmental and economic aspects and has become mandatory in most of the countries in the world. Reverse logistics which is mainly the backward flows of used products from consumers to producers is an important stage while constructing a recovery system. The network structure of reverse logistics system plays an important role in the total cost of the recovery system. These structures mainly include the locations of facilities and the flows between the related points. With this study, a reverse logistics system is designed for WEEE in Turkey which is one of the fast developing countries in the world. Ten scenarios are taken into account regarding different collection rates via a mixed integer linear programming model. Different types of storage sites and recycling facilities are considered within the model differing from the existing studies. The optimum locations of storage sites and recycling facilities are obtained for each scenario satisfying the minimum recycling rates stated by the European Union directive for each product category.

A multi-objective ant colony system algorithm for flow shop scheduling problem

Abstract: In this paper, we consider the flow shop scheduling problem with respect to the both objectives of makespan and total flowtime. This problem is known to be NP-hard type in literature. Several algorithms have been proposed to solve this problem. We present a multi-objective ant colony system algorithm (MOACSA), which combines ant colony optimization approach and a local search strategy in order to solve this scheduling problem. The proposed algorithm is tested with well-known problems in literature. Its solution performance was compared with the existing multi-objective heuristics. The computational results show that proposed algorithm is more efficient and better than other methods compared.