Browsing by Author "İçtenbaş, Burcu Devrim"
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Conference Object Citation Count: 19Determining Learning Styles of Engineering Students to Improve the Design of a Service Course(Elsevier Science Bv, 2011) Ictenbas, Burcu Devrim; Eryilmaz, Hande; Industrial EngineeringStudents learn in different ways and instructors must design their courses to meet the needs of those students. The purpose of this study is to determine learning styles of engineering students at Atilim University for a service course. A VARK questionnaire was administrated to the students who were enrolled in this course and learning styles of these students from different departments were determined and compared. This will provide a guide for instructors to improve their courses offered to different engineering departments based on the determined student learning styles. (C) 2011 Published by Elsevier Ltd.Doctoral Thesis Döküm parametreleri optimizasyonu için hibrid model ve metodoloji önerisi(2013) İçtenbaş, Burcu Devrim; Özaktaş, Hakan; Güray, Cenk; Industrial EngineeringDöküm hataları tekrar işleme için geçen zaman kaybı ve hurdaya ayrılan malzeme kaybından dolayı dökümhanelere zarar vermektedir. Bu hatalara neden olan faktörleri incelenip düzeltici önlemler alınması hata oranlarını azaltırken verimliliğe de olumlu yönde katkı sağlayacaktır. Bu çalışmanın ana amacı, Yapay Sinir Ağları ve Karar ağaçları analizi tekniklerini kullanarak döküm hatalarını tahminleyen bir hibrid sistem önermektir. Çalışmada ayrıca Yapay sinir Ağları ve Karar ağaçları analizi metodlarının tek başına döküm hataları tahmini için kullanılması ve tahmin performanslarının karşılaştırılması çalışmada yer almaktadır. Modellerin oluşturulmasındaki esas amaç mühendisler ve yöneticiler için döküm parametreleri ve döküm kalitesi hakkında karar verme sürecine yardım edecek bir karar destek sisteminin oluşturulmasıdır.Conference Object Citation Count: 8Linking Employers' Expectations with Teaching Methods: Quality Function Deployment Approach(Elsevier Science Bv, 2011) Ictenbas, Burcu Devrim; Eryilmaz, Hande; Industrial EngineeringMeeting the expectations of employers' and related sector is important in gaining a competitive advantage and is thus an opportunity as well as a big challenge faced by universities. Quality Function Deployment (QFD) is a methodology to translate customer requirements into the final product or service characteristics. The purpose of the study is to evaluate different teaching methods in perspective of employers' expectations using the QFD approach. This study takes a sample Industrial Engineering course as an example and uses QFD methodology in assessing the effectiveness of teaching methods in the perspective of employers' expectations. The findings will help the instructors to improve their courses to meet the employers' expectations.Conference Object Citation Count: 0Selection of ERP System Using QFD Approach: A Pilot Study From Turkey(Acad Conferences Ltd, 2012) Ictenbas, Burcu Devrim; Rouyendegh, Babak Daneshvar; Erkan, Turan Erman; Industrial Engineering; Computer EngineeringToday companies face the challenge of increasing competition, expanding markets and rising competition. Many organizations seek to improve their competitiveness by utilizing advanced information technology, such as Enterprise Resource Planning (ERP) systems. Selection of appropriate ERP system is a vital decision for any enterprise in this intense competitive environment. The selection process is complicated since complexity of ERP systems and too many alternatives. Requirements analysis of a software system like ERP is often considered to be one of the most important steps in the software selection process. Quality Function Deployment (QFD) is a methodology to translate customer requirements into the final product or service characteristics. In spite of successful applications of QFD in familiar fields such as product planning, education quality and service quality, the usability of QFD in the selection of software systems have been seen in only few studies. The purpose of the study is to determinethe most important technical attributes of the ERP systems from the end - users' perspective using QFD methodology. The developed framework integrates ERP characteristics obtained from vendors in the market and the list of customer requirements by taking into account the company profile and strategic selection criteria. The solution proposed in this study will support decision makers to manage the early stages of ERP selection according the company's needs.