There has recently been increasing interest in using reactive synthesis techniques to automate the production of manufacturing process plans. Previous work has assumed that the set of manufacturing resources is known and fixed in advance. In this paper, we consider the more general problem of whether a controller can be synthesized given sufficient resources. In the unbounded setting, only the types of available manufacturing resources are given, and we want to know whether it is possible to manufacture a product using only resources of those type(s), and, if so, how many resources of each type are needed. We model manufacturing processes and facilities as transducers (automata with output), and show that the unbounded orchestration problem is decidable and the (Pareto) optimal set of resources necessary to manufacture a product is computable for uni-transducers. However, for multi-transducers, the problem is undecidable.

Unbounded Orchestrations of Transducers for Manufacturing / Alechina, N; Brazdil, T; De Giacomo, G; Felli, P; Logan, B; Vardi, My. - (2019), pp. 2646-2653. (Intervento presentato al convegno 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence tenutosi a Honolulu, Hawaii; USA).

Unbounded Orchestrations of Transducers for Manufacturing

De Giacomo, G
;
Felli, P
;
2019

Abstract

There has recently been increasing interest in using reactive synthesis techniques to automate the production of manufacturing process plans. Previous work has assumed that the set of manufacturing resources is known and fixed in advance. In this paper, we consider the more general problem of whether a controller can be synthesized given sufficient resources. In the unbounded setting, only the types of available manufacturing resources are given, and we want to know whether it is possible to manufacture a product using only resources of those type(s), and, if so, how many resources of each type are needed. We model manufacturing processes and facilities as transducers (automata with output), and show that the unbounded orchestration problem is decidable and the (Pareto) optimal set of resources necessary to manufacture a product is computable for uni-transducers. However, for multi-transducers, the problem is undecidable.
2019
33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence
Artificial Intelligence; Knowledge Representation and Reasoning; Reasoning about Actions and Planning; Smart Manufacturing
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Unbounded Orchestrations of Transducers for Manufacturing / Alechina, N; Brazdil, T; De Giacomo, G; Felli, P; Logan, B; Vardi, My. - (2019), pp. 2646-2653. (Intervento presentato al convegno 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence tenutosi a Honolulu, Hawaii; USA).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1402389
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