Energy-Saving and Efficient Equipment Selection for Machining Process Based on Business Compass Model

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

An Energy Saving Valve for Refrigeration Equipment Mounting Rotary Compressor

A Fuzzy Based Decision Support Model for Non-traditional Machining Process Selection

INTRODUCTION The well‐known philosophical statement denoted by René Descartes “I think, therefore I exist” is perhaps the best comment that discloses the importance of thinking in human life. Humans used this vital ability in decision making process which can be defined as the procedure to find the best alternative among a set of feasible ones [1]. However; complexity of decision making process...

A Fuzzy Based Decision Support Model for Non-traditional Machining Process Selection

Original scientific paper Usages of non-traditional machining processes are rapidly increasing together with increases in demand and usage of high strength, temperature resistant and complex materials. Due to their advantages such as cutting speed, surface quality and economizing, they became a vital process of manufacturing. Because of the conflicting criteria, the selections of appropriate no...

Energy-Efficient Machining via Energy Data Integration

Energy-efficient machining strategies are required to be implemented in daily practice to advance the competitiveness of the enterprises on global scale. Energy information, which currently not considered as an integral part of production data, is studied. A need is identified to integrate energy information into production program and solidify the knowledge for extensive reference. To effectiv...