Editorial: intelligent manufacturing systems towards industry 4.0 era

Intelligent Decision Making

Intelligent manufacturing plays an important role in Industry 4.0. Key technologies such as artificial intelligence (AI), big data analytics (BDA), the internet of things (IoT), cyber-physical systems (CPSs), and cloud computing enable intelligent manufacturing systems (IMS). Artificial intelligence (AI) plays an essential role in IMS by providing typical features such as learning, reasoning, acting, modeling, intelligent interconnecting, and intelligent decision making. Artificial intelligence's impact on manufacturing is involved in Industry 4.0 through big data analytics, predictive maintenance, data-driven system modeling, control and optimization, human-robot collaboration, and smart machine communication. The recent advances in machine and deep learning algorithms combined with powerful computational hardware have opened new possibilities for technological progress in manufacturing, which led to improving and optimizing any business model.

Advances in Business Information Systems and Analytics - Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing ◽

Intelligent Manufacturing Systems Driven by Artificial Intelligence in Industry 4.0

10.4018/978-1-7998-2725-2.ch002 ◽

2020 ◽

pp. 31-52 ◽

Cited By ~ 1

Author(s):

Lejla Banjanović-Mehmedović ◽

Fahrudin Mehmedović

Keyword(s):

Artificial Intelligence ◽

Big Data ◽

Industry 4.0 ◽

Data Analytics ◽

Manufacturing Systems ◽

System Modeling ◽

Big Data Analytics ◽

Intelligent Decision Making

Intelligent manufacturing plays an important role in Industry 4.0. Key technologies such as artificial intelligence (AI), big data analytics (BDA), the internet of things (IoT), cyber-physical systems (CPSs), and cloud computing enable intelligent manufacturing systems (IMS). Artificial intelligence (AI) plays an essential role in IMS by providing typical features such as learning, reasoning, acting, modeling, intelligent interconnecting, and intelligent decision making. Artificial intelligence's impact on manufacturing is involved in Industry 4.0 through big data analytics, predictive maintenance, data-driven system modeling, control and optimization, human-robot collaboration, and smart machine communication. The recent advances in machine and deep learning algorithms combined with powerful computational hardware have opened new possibilities for technological progress in manufacturing, which led to improving and optimizing any business model.

Industry 4.0: Trends in Management of Intelligent Manufacturing Systems

10.1007/978-3-030-14011-3 ◽

2019 ◽

Cited By ~ 2

Keyword(s):

Industry 4.0 ◽

Manufacturing Systems ◽

Intelligent Manufacturing Systems

Industry 4.0 – holistic perspective: modelling and simulation applications in intelligent manufacturing systems

Journal of Innovative Science and Engineering (JISE) ◽

10.38088/jise.816023 ◽

2021 ◽

Author(s):

Muhammet ARUCU

Keyword(s):

Industry 4.0 ◽

Manufacturing Systems ◽

Modelling And Simulation ◽

Holistic Perspective

Introduction to Intelligent Quality Management

10.5772/intechopen.94971 ◽

2020 ◽

Cited By ~ 1

Author(s):

Ercan Oztemel

Keyword(s):

Industry 4.0 ◽

Manufacturing Systems ◽

General Information ◽

Manufacturing Processes ◽

Industrial Operations ◽

Control And Management ◽

Industrial Societies ◽

Rapid Transformation

Intelligent manufacturing is becoming more and more attractive for industrial societies especially after the introduction of industry 4.0 where most of industrial operations are to be carried by robots equipped with intelligent capabilities. This explicitly implies that the manufacturing systems will entirely be integrated and all manufacturing functions including quality control and management will have to be made as much intelligent as possible in operating with minimum human intervention. This Chapter will present a brief overview of some implications about intelligent quality systems. It intends to provide the readers of the book to understand how the concept of artificial intelligence is to be embedded into quality functions. It is known that the interoperability is the rapid transformation requirement of industry specific operations. This requires the integration of quality functions to other manufacturing functions for sharing the quality related knowledge with other manufacturing functions in order to sustain total intelligent collaboration. Achieving this, on the other hand, ensures the improvement of manufacturing processes for better performance in an integrated manner. Note that, although some general information about intelligent manufacturing systems are given, this chapter is particularly focused on discussing intelligent quality related issues.