A Real-Time Architecture for Proactive Decision Making in Manufacturing Enterprises

@inproceedings{Bousdekis2015ARA,
  title={A Real-Time Architecture for Proactive Decision Making in Manufacturing Enterprises},
  author={Alexandros Bousdekis and Nikos Papageorgiou and Babis Magoutas and Dimitris Apostolou and Gregoris Mentzas},
  booktitle={OTM Workshops},
  year={2015}
}
We outline a new architecture for supporting proactive decision making in manufacturing enterprises. We argue that event monitoring and data processing technologies can be coupled with decision methods effectively providing capabilities for proactive decision-making. We present the main conceptual blocks of the architecture and their role in the realization of the proactive enterprise. We illustrate how the proposed architecture supports decision-making ahead of time on the basis of real-time… 

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References

SHOWING 1-10 OF 23 REFERENCES

Anticipation-driven Architecture for Proactive Enterprise Decision Making

TLDR
It is argued that a cognitive approach of continuous situation awareness can enable capabilities of proactive enterprise intelligence and a conceptual architecture outlining the main conceptual blocks and their role in the realization of the proactive enterprise is proposed.

Extending Event-Driven Architecture for Proactive Systems

TLDR
A proactive event-driven architecture for Scalable Proactive Event-Driven Decision-making (SPEEDD), which combines these capabilities and is instantiated by a real use case from the traffic management domain.

Event-Driven Architecture for Decision Support in Traffic Management Systems

Formalisation of a new prognosis model for supporting proactive maintenance implementation on industrial system

Supporting the Selection of Prognostic-based Decision Support Methods in Manufacturing

TLDR
This work proposes an approach for supporting analysts selecting the most suitable combination of methods for prognostic-based maintenance decision support according to the requirements of a given maintenance application based on the ID3 decision tree learning algorithm.

Proactive event processing in action: a case study on the proactive management of transport processes (industry article)

TLDR
It is demonstrated that through the use of this proactive approach, predictions concerning over and under-weight loads can be made days in advance of a shipment, thus enabling the air freight planner to optimize their load plans and thus maximize the revenue that they generate from shipments.

Towards proactive event-driven computing

TLDR
This paper introduces a conceptual architecture for the next phase of that evolution: proactive event-driven computing, and extends the event processing agent model to include two more type of agents: predictive agents that may derive future uncertain events based on prediction models, and proactive agents that compute the best proactive action that should be taken.

A layered e-maintenance architecture powered by smart wireless monitoring components

TLDR
A layered e-Maintenance architecture is introduced, leveraging upon the strengths of smart and wireless components in order to upgrade the maintenance-services from the low level of operations, to the higher levels of planning and decision making.

Ubiquitous computing for dynamic condition-based maintenance

TLDR
A flexible architecture concept to provide a ubiquitous computing framework where condition‐based maintenance (CBM) data and information can be easily accessed, and maintenance decisions may be performed wherever required.

Value-driven engineering of E-maintenance platforms

Purpose – The purpose of this paper is to propose a methodology for the engineering of E-maintenance platforms that is based on a value-driven approach. Design/methodology/approach – The methodology