"Stress-oriented, data-based payment model for machine tools"
نویسندگان
چکیده
منابع مشابه
An Intelligence-Based Model for Supplier Selection Integrating Data Envelopment Analysis and Support Vector Machine
The importance of supplier selection is nowadays highlighted more than ever as companies have realized that efficient supplier selection can significantly improve the performance of their supply chain. In this paper, an integrated model that applies Data Envelopment Analysis (DEA) and Support Vector Machine (SVM) is developed to select efficient suppliers based on their predicted efficiency sco...
متن کاملAnalyzing and Investigating the Use of Electronic Payment Tools in Iran using Data Mining Techniques
In today's world, most financial transactions are carried out using done through electronic instruments and in the context of the Information Technology and Internet. Disregarding the application of new technologies at this field and sufficing to traditional ways, will result in financial loss and customer dissatisfaction. The aim of the present study is surveying and analyzing the use of elect...
متن کاملLife-cycle oriented development of machine tools
For the investment decision for new production equipment it becomes more and more common to guarantee the total amount of life-cycle-costs (LCC). In the research project "LoeWe", funded by the German Federal Ministry of Education and Research (BMBF), methods are developed to minimize life cycle costs in the development, operation and recycling phase. Exemplarily the development of an innovative...
متن کاملA Machine Model for Aspect-Oriented Programming
Aspect-oriented programming languages usually are extensions of object-oriented ones, and their compilation target is usually the (virtual) machine model of the language they extend. While that model elegantly supports core object-oriented language mechanisms such as virtual method dispatch, it provides no direct support for core aspectoriented language mechanisms such as advice application. He...
متن کاملTools for Model Validation Based on Incomplete Data
A procedure to establish probability densities based on limited data is derived, where the probability mass in the tails is a function of the required confidence and the sample size. Kernel densities are used to represent the tails and to capture with high fidelity the correlations.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia CIRP
سال: 2020
ISSN: 2212-8271
DOI: 10.1016/j.procir.2020.03.080