Abstract
This paper highlights the difficulties that have been experienced in the development of Computer Integrated Manufacturing (CIM) systems. It questions as to why this is the case when significant benefits have been reaped in specific areas within the manufacturing process. It subsequently identifies the various functional areas involved in CIM systems and in so doing illustrates the inherent complexities of such systems. Thereafter it introduces the concept of Distributed Artificial Intelligence (DAI) and suggests that such a paradigm could be used effectively to combat the complex nature of such systems. It introduces the reader to notable research in the DAI area and then illustrates how these ideas could be applied to CIM. In addition it suggests that such an approach will result in a much more disciplined and rigorous methodology for the design of AI software.
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