Intelligent Manufacturing Systems

Abstract

This chapter provides information on intelligent manufacturing systems including an analysis on change and historical progress of manufacturing systems as well as a brief review of traditional manufacturing systems. Fundamental technologies of artificial intelligence are also reviewed in order to establish the baseline for intelligent manufacturing systems. Following that, basic characteristics of intelligent manufacturing and respective architectures are provided. Some examples of the applications of intelligent manufacturing systems are highlighted.Keywords Artificial intelligence, manufacturing system, fuzzy logic, genetic algorithm, holonic manufacturing system IntroductionAutomation is one of the major indicators of the change in manufacturing. Machines behaving themselves not only decrease the cost but also produce the products to be more compliant with the needs and specifications of the customers. Although technologies such as flexible manufacturing systems provide various advantages, automation itself is not enough to provide competitive advantage. In most of the modern manufacturing facilities, machines are capable of making decisions and exhibiting intelligent behaviour. That is to say that the manufacturingrelated activities starting from the design to product shipment are being carried out through intelligent manufacturing technologies. As traditionally known, manufacturing systems are the integrated combination of various functions such as design, process planning, production planning, quality assurance, storing and shipment etc. In each of these functions several activities are carried out. Intelligent behaviour is exhibited by the machines in all of these functions. This diverted the attention of the researcher to "unmanned factories" and there have been quite interesting studies and implementations along this line. In this chapter, a general overview E. Oztemel ( ) Marmara University, Engineering Faculty,

Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning

“…IMS, in detail explained in Sect. 2.2.2, try expanding that view by expanding the focus on further characteristics like e.g., autonomy, learning and efficiency Oztemel 2010;Almeida 2011 …”

An analysis of the applications of mechatronics in intelligent manufacturing

“…Make use of diversified technologies to create intelligent robots that simulate human operation, such as automatic control technology, intelligent control modules, mechatronics technology, etc. [9] In response to this situation, the staff should pay more attention to mechatronics technology, combine mechatronics technology with intelligent manufacturing, realize intelligent robot simulation control, and use intelligent control technology to simulate human thinking logic so that manufacturing robots and personnel have the same judgement ability [10]. After the staff issued relevant instructions, the robot completely simulates the various actions of humans for processing, effectively improving the level of intelligent manufacturing technology in mechanical processing.…”

An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms

“…In company with the big data explosion and hardware system evolution over the past decades, deep learning (DL) systems achieved tremendous success and human competitive performance in various cutting-edge applications, such as real-time strategy game [1,2], image processing [3][4][5], speech intelligent assistant (e.g., Siri, Alexa, Cortana) [6,7], autonomous vehicle [8,9], intelligent manufacturing [10], medicine discovery [11] and medical diagnostics [12]. DL has become the driving force of technology innovation of next generation, penetrating into many domains of industry manufacture process, renovating the industry practice and reshaping almost every aspect of our society and daily life.…”