Computers in Industry - Special issue on learning in intelligent manufacturing systems
An IT view on perspectives of computer aided process planning research
Computers in Industry
Dynamics of complex systems
Component Software: Beyond Object-Oriented Programming
Component Software: Beyond Object-Oriented Programming
Computational Intelligence in Design and Manufacturing
Computational Intelligence in Design and Manufacturing
Server-Based Computing Opportunities
IT Professional
A Practical Framework for Discussing IT Infrastructure
IT Professional
Using Simplicity to Control Complexity
IEEE Software
Constraint Technology and the Commercial World
IEEE Intelligent Systems
Guest Editors' Introduction: Human-Centered Computing at NASA
IEEE Intelligent Systems
Evaluating the impact of alternative plans on manufacturing performance
Computers and Industrial Engineering
Computational technique model for CAD-CAPP integration
MCBE'08 Proceedings of the 9th WSEAS International Conference on Mathematics & Computers In Business and Economics
Situation aware content driven multimedia service fusion in avionic informatics
IMMURO'12 Proceedings of the 11th WSEAS international conference on Instrumentation, Measurement, Circuits and Systems, and Proceedings of the 12th WSEAS international conference on Robotics, Control and Manufacturing Technology, and Proceedings of the 12th WSEAS international conference on Multimedia Systems & Signal Processing
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The purpose of this paper is to explore how people, automation, and complexity can be effectively and successfully integrated into a manufacturing enterprise information system. This exploration is required because various studies showed that manufacturing enterprise information integration faces complex organisational, technical, and social shortcomings. Based on the paper's qualitative findings supported by authorities, evidence, or logic, essentially, it is argued that automation and information systems should focus, incorporate, and assist human, and that wisdom of simplicity in order to control complexity should prevail against the attempt to develop complex systems that usually are a consequence of unnecessary requirements. This also leads to the need for a multi-perspective research approach for solving enterprise integration problems.