“…Next to the figure is discussed proactive roles of each contributor. Figure 4 Triple Helix Collaboration Eco-system to adapt Intelligent Manufacturing Systems (A) Triple Helix collaboration model (adapted from [18] ) (B) Recursive collaboration model (adapted from [39] (C) Systematic collaboration approach …”
Section: Proposition: Contribution Of Government Academia and Industr...mentioning
“…Next to the figure is discussed proactive roles of each contributor. Figure 4 Triple Helix Collaboration Eco-system to adapt Intelligent Manufacturing Systems (A) Triple Helix collaboration model (adapted from [18] ) (B) Recursive collaboration model (adapted from [39] (C) Systematic collaboration approach …”
Section: Proposition: Contribution Of Government Academia and Industr...mentioning
“…They designed an immune multi-agent scheduling system to solve a flexible job shop scheduling problem. Mezgebe et al [24] have also proposed negotiation model considering smart product agents scheduled to be processed on different resource agents. The communication protocol was fully controlled by product agents and role of Radio Frequency Identification (RFID) technology was used to help detect disturbances and send back to product agents for its management.…”
Section: Surveys Related To Cooperative Decisionsmentioning
The emergence of Cyber Physical System has dramatically impacted the use of traditionally centralized control system in responding to unexpected events. Rush order is quite common unexpected event in the current dynamic market characteristics and has significant perturbing ability to a centrally predictive schedule. This paper is aimed to propose a Consensus algorithm for Multi-agent based Manufacturing system (CoMM) to control the rush order and henceforth minimize a makespan. Consensus is an algorithmic procedure applied in control theory which allows convergence of state between locally autonomous agents collaborating for their common goal. Leader-Follower communication approach was used among the multi-agent to deal with the perturbing event. Each agent decides when to broadcast its state to neighbor agents and the controlling decision depends on the behavior of this state. The consensus algorithm is initially modeled by networking all contributing agents. After this, it is validated with simulation experiment based on academic full-sized application platform called TRACILOGIS platform. The results showed that the consensus algorithm has significantly minimized the impact of rush order on makespan of manufacturing orders launched on a system.
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