Flexible process sequencing using Petri net theory
Computers and Industrial Engineering
Selection of cutting tools and conditions of machining operations using an expert system
Computers in Industry
A reconfigurable concurrent function block model and its implementation in real-time Java
Integrated Computer-Aided Engineering
Realizing holonic control with function blocks
Integrated Computer-Aided Engineering
Using genetic algorithms in process planning for job shop machining
IEEE Transactions on Evolutionary Computation
Distributed control of production systems
Engineering Applications of Artificial Intelligence
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The objective of this research is to develop methodologies and a framework for distributed process planning and adaptive control using function blocks. Facilitated by a real-time monitoring system, the proposed methodologies can be applied to integrate with functions of dynamic scheduling in a distributed environment. A function block-enabled process planning approach is proposed to handle dynamic changes during process plan generation and execution. This paper focuses mainly on distributed process planning, particularly on the development of a function block designer that can encapsulate generic process plans into function blocks for runtime execution. As function blocks can sense environmental changes on a shop floor, it is expected that a so-generated process plan can adapt itself to the shop floor environment with dynamically optimized solutions for plan execution and process monitoring.