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Today, engineers make efforts for post-graduate programs far more than before. The main reasons can be increasing awareness of firms about education, decreasing job opportunities for undergraduate degrees, the increasing demand for being an academician or scholarship opportunities by government. Some firms want their postgraduate student engineers to solve the firm's problems in their master or doctoral thesis as case studies. In this regard industrial engineering is a field that adjusts almost with every sector because of its multidisciplinary nature. Thus, there are many post-graduate theses written in this area. The aim of this paper is to analyze 2,122 postgraduate theses (master & doctoral) which are carried out in the department of industrial engineering in Turkish universities. The data is obtained from the website of Council of Higher Education of Turkey. The time period is determined as 2010-2017 and only the 1780 "permission" theses are analyzed in order to reach keywords for solution approaches and keywords analysis. Nine different indicators are used to analyze the thesis such as; university status, page numbers, language, keywords etc. As a result, this study shows how the theses are clustered according to different indicators and which topics are studied more frequently in recent years. The inference of the paper is important because the results give an insight about the road map of industrial engineering thesis completed in 56 different Turkish universities. [ABSTRACT FROM AUTHOR]

Nowadays Industrial Engineering is one of the most popular professions in the world and in our country. This study assumes that both definition of Industrial engineering and acts of Industrial engineers are not well known, therefore, aims at measuring the awareness of Industrial Engineering in Turkey. In this study questionnaires are used as a data collection tool. The survey was answered face to face and on the internet by 300 people in July and August 2018. Initially, the questions were planned to be 20, but as a result of the factor analysis, it was considered appropriate to drop 17. The questions measure whether participants can accurately evaluates the definition of engineering or they know abilities of a person who graduated of the Department of Industrial Engineering. The questions measure that whether participants can accurately evaluate the definition of industrial engineering or how much they know about abilities of a person who graduated of the Department of Industrial Engineering. The results of the survey were analyzed by ANOVA and t Test methods and the results were interpreted. As a result of the survey, according to the assumptions of the study, it concluded that neither definition of Industrial Engineering nor abilities of a person who graduated of the department of Industrial Engineering are known in Turkey. [ABSTRACT FROM AUTHOR]