Aligning Decision Support with Shop Floor Operations: A Proposal of Intelligent Product Based on BDI Physical Agents

Ansola, Pablo García; García, Andrés Boza; Morenas, Javier de las

doi:10.1007/978-3-319-15159-5_9

“…Recent work has looked at developing model-based reasoning to develop the decision making of PAs [12], [13], [38], [42], [43]. Model-based PAs use a model of the system and optimization techniques to drive the decision making of the PA [13].…”

Section: Model-based Product Agentsmentioning

confidence: 99%

“…Finite state machines (FSMs) [45] are frequently used to encode the capabilities of the manufacturing systems in modelbased PAs [12], [13], [42], [43], [46]. For the FSMs used in model-based PAs, the states represent potential locations and completed manufacturing operations (i.e.…”

Section: Model-based Product Agentsmentioning

confidence: 99%

“…Other models that have been used to encode manufacturing system capabilities include Markov Decision Process (MDP) models [38], [42], [43], [48] and Petri nets [9], [49]. The MDP models used by PAs are extensions to PA FSM models that also capture some of the stochastic elements of manufacturing systems, e.g., processing time [38], [42], [43], [48]. Petri nets models have also been used for decision making by PAs [9], [49].…”

Section: Model-based Product Agentsmentioning

confidence: 99%

See 1 more Smart Citation

Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework

Kovalenko

¹

,

Balta²,

Tilbury

³

et al. 2023

IEEE Trans. Automat. Sci. Eng.

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Due to the advancements in manufacturing system technology and the ever-increasing demand for personalized products, there is a growing desire to improve the flexibility of manufacturing systems. Multi-agent control is one strategy that has been proposed to address this challenge. The multi-agent control strategy relies on the decision making and cooperation of a number of intelligent software agents to control and coordinate various components on the shop floor. One of the most important agents for this control strategy is the product agent, which is the decision maker for a single part in the manufacturing system. To improve the flexibility and adaptability of the product agent and its control strategy, this work proposes a direct and active cooperation framework for the product agent. The directly and actively cooperating product agent can identify and actively negotiate scheduling constraints with other agents in the system. A new modeling formalism, based on priced timed automata, and an optimization-based decision making strategy are proposed as part of the framework. Two simulation case studies showcase how direct and active cooperation can be used to improve the flexibility and performance of manufacturing systems.Note to Practitioners-An intelligent product is a product in a manufacturing system that is able to make decisions based on a set of specifications and affect its own production process. Intelligent products have often been proposed to address the challenges associated with small-batch manufacturing and highly customized production. Specifically, by using intelligent products, manufacturers would be able to complete small orders without the need to reconfigure or reschedule operations in the manufacturing system. However, one of the major challenges in the implementation of this control strategy is the need to develop methods that allow intelligent products to cooperate with Manuscript

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“…Finite state machines (FSMs) [45] are frequently used to encode the capabilities of the manufacturing systems in modelbased PAs [12], [13], [42], [43], [46]. For the FSMs used in model-based PAs, the states represent potential locations and completed manufacturing operations (i.e.…”

Section: Model-based Product Agentsmentioning

confidence: 99%

Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework

Kovalenko¹,

Balta²,

Tilbury³

et al. 2021

Preprint

0

View full text Add to dashboard Cite

Due to the advancements in manufacturing system technology and the ever-increasing demand for personalized products, there is a growing desire to improve the flexibility of manufacturing systems. Multi-agent control is one strategy that has been proposed to address this challenge. The multi-agent control strategy relies on the decision making and cooperation of a number of intelligent software agents to control and coordinate various components on the shop floor. One of the most important agents for this control strategy is the product agent, which is the decision maker for a single part in the manufacturing system. To improve the flexibility and adaptability of the product agent and its control strategy, this work proposes a direct and active cooperation framework for the product agent. The directly and actively cooperating product agent can identify and actively negotiate scheduling constraints with other agents in the system. A new modeling formalism, based on priced timed automata, and an optimization-based decision making strategy are proposed as part of the framework. Two simulation case studies showcase how direct and active cooperation can be used to improve the flexibility and performance of manufacturing systems.

show abstract

Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework

Kovalenko¹,

Balta²,

Tilbury³

et al. 2021

Preprint

View full text Add to dashboard Cite

Due to the advancements in manufacturing system technology and the ever-increasing demand for personalized products, there is a growing desire to improve the flexibility of manufacturing systems. Multi-agent control is one strategy that has been proposed to address this challenge. The multi-agent control strategy relies on the decision making and cooperation of a number of intelligent software agents to control and coordinate various components on the shop floor. One of the most important agents for this control strategy is the product agent, which is the decision maker for a single part in the manufacturing system. To improve the flexibility and adaptability of the product agent and its control strategy, this work proposes a direct and active cooperation framework for the product agent. The directly and actively cooperating product agent can identify and actively negotiate scheduling constraints with other agents in the system. A new modeling formalism, based on priced timed automata, and an optimization-based decision making strategy are proposed as part of the framework. Two simulation case studies showcase how direct and active cooperation can be used to improve the flexibility and performance of manufacturing systems.

show abstract

Aligning Decision Support with Shop Floor Operations: A Proposal of Intelligent Product Based on BDI Physical Agents

Cited by 3 publications

References 15 publications

Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework

Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework

Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework

Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework

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