Process Plan Controllers for Non-Deterministic Manufacturing Systems

Process Plan Controllers for Non-Deterministic Manufacturing Systems

Paolo Felli, Lavindra de Silva, Brian Logan, Svetan Ratchev

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
Main track. Pages 1023-1030. https://doi.org/10.24963/ijcai.2017/142

Determining the most appropriate means of producing a given product, i.e., which manufacturing and assembly tasks need to be performed in which order and how, is termed process planning. In process planning, abstract manufacturing tasks in a process recipe are matched to available manufacturing resources, e.g., CNC machines and robots, to give an executable process plan. A process plan controller then delegates each operation in the plan to specific manufacturing resources. In this paper we present an approach to the automated computation of process plans and process plan controllers. We extend previous work to support both non-deterministic (i.e., partially controllable) resources, and to allow operations to be performed in parallel on the same part. We show how implicit fairness assumptions can be captured in this setting, and how this impacts the definition of process plans.
Keywords:
Knowledge Representation, Reasoning, and Logic: Action, Change and Causality
Agent-based and Multi-agent Systems: Formal verification, validation and synthesis