Abstract
Dynamism and uncertainty are genuine threats for current high technology organisations. Capability to change is the crux of sustainability of current large organisations. Modern manufacturing philosophies, including agile and lean, are not enough to be competitive in global market therefore a new emerging paradigm i.e. reconfigurable manufacturing systems is fast emerging to complement the application of lean and agile manufacturing systems. Product, Process and Resource (PPR) are the core areas in an engineering domain of a manufacturing enterprise which are tightly coupled with each other. Change in one (usually product) affects the others therefore engineering change management activity has to tackle PPR change effects. Current software applications do not provide an unequivocal infrastructure where PPR can be explicitly related. It follows that reconfigurable techniques can be further complemented with the help of knowledge based systems to design, engineer, manufacture, commission and change existing processes and resources against changed products.
Highlights
Reconfigurable Assembly Systems (RAS), a subset of Reconfigurable Manufacturing Systems (RMS), facilitate enterprises to rapidly respond to changes in today’s unpredictable and dynamic global markets
In the current research work, it is intended to develop a method for using a knowledge management tool so as to create an axiom-controlled ontology to define prospects of the knowledge model and its plan to control the actions of the model for use in a manufacturing environment
The authors have devised a collaborative production line planning solution based on knowledge management theories which was successfully implemented and the initial implementation results are extremely encouraging
Summary
Reconfigurable Assembly Systems (RAS), a subset of Reconfigurable Manufacturing Systems (RMS), facilitate enterprises to rapidly respond to changes in today’s unpredictable and dynamic global markets. One of the key success factors for the effective use of RAS is methods and tools that can rapidly configure and reconfigure assembly systems driven by changing product requirements. The focus of the current research is the development of a suitable knowledge based system for knowledge sharing and reuse. In the current research work, it is intended to develop a method for using a knowledge management tool so as to create an axiom-controlled ontology to define prospects of the knowledge model and its plan to control the actions of the model for use in a manufacturing environment. The authors argue for the need of a flexible, meta-data driven approach to address requirements for the use of knowledge bases in industrial settings and present a lightweight ontological knowledge based system as a decision
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