A Component Based Model Developed for Machine Tool Selection Decisions
Ic, Yusuf Tansel
Üst veriTüm öğe kaydını göster
Machine tools are widely used in manufacturing sectors; such as automotive industry, metal cutting industry, aerospace industry etc. Purchase of a machine tool is a long-term capital investment decision and requires a high initial investment cost. Machine tool producers offer a wide-ranging types and models of machine tools. On the other hand, expectations and requirements of the manufacturing companies differ depending on the parts produced and their strategic objectives. High stiffness, rigidity, metal cutting performance, surface finish and low tolerance range are common expectations from machine tools. This paper aims to develop a technical evaluation model to help manufacturing companies in their machine tool purchasing decisions. In the proposed model, first components used in machine tools are analyzed and based on this analysis a technical evaluation model is developed. The application of the developed model is illustrated by making a selection among nine different machine tool alternatives.
Başlık, yazar, küratör ve konuya göre gösterilen ilgili öğeler.
Topcu, Deniz Ilhan; Bayraktar, Nilufer (2022)Objectives Automated machine learning (AutoML) tools can help clinical laboratory professionals to develop machine learning models. The objective of this study was to develop a novel formula for the estimation of urine ...
Celik, Yaren; Guney, Selda; Dengiz, Berna (2021)Obesity is a growing societal and public health problem starting from 1980 that needs more attention. For this reason, new studies are emerging day by day, including those looking for obesity in children, especially the ...
Ağzıyağlı, Veysel Sercan (Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2020)İnternet teknolojisinin ve içerik sağlayıcıların artmasıyla birlikte tüm dünyada ders videolarında da diğer videolarda olduğu gibi büyük bir artış gerçekleşmiştir. Covid 19 salgınının dünyayı etkisi altına alması hem ...