Experience with Holonic and Agent-Based Control Systems and Their Adoption by Industry

Hall, Kenwood H.; Staron, Raymond J.; Vrba, Pavel

doi:10.1007/11537847_1

Cited by 32 publications

(17 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is mistaken to assume that mere comparison of the situation before and after agents' deployment provides responsible justification. Functionality of the agent application needs to be compared to alterative planning, simulation or diagnostic technologies available on the market [27]. We advise not to argue only by claiming that 'agents are novel and groundbreaking technology ready to solve all your problems.…”

Section: Discussionmentioning

confidence: 99%

“…There are many obstacles to widespread adoption of agent-based technology in industry-compare to [27,41,42]:…”

Section: Discussionmentioning

confidence: 99%

“…The agent-based system did not control the bar mill but instead recommended a configuration to the operator. Although the agent system performed very well in all the tests, to release the system for production would require testing all the steel recipes with all possible configurations of cooling boxes [27].…”

Section: Manufacturing Controlmentioning

confidence: 99%

See 2 more Smart Citations

Industrial deployment of multi-agent technologies: review and selected case studies

Pěchouček

Mařı́k

2008

Auton Agent Multi-Agent Syst

202

View full text Add to dashboard Cite

This paper reports on industrial deployment of multi-agent systems and agent technology. It provides an overview of several application domains and an in-depth presentation of four specific case studies. The presented applications and deployment domains have been analyzed. The analysis indicates that despite strong industrial involvement in this field, the full potential of the agent technology has not been fully utilized yet and that not all of the developed agent concepts and agent techniques have been completely exploited in industrial practice. In the paper, the key obstacles for wider deployments are listed and potential future challenges are discussed.

show abstract

Section: Discussionmentioning

confidence: 99%

“…There are many obstacles to widespread adoption of agent-based technology in industry-compare to [27,41,42]:…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Industrial deployment of multi-agent technologies: review and selected case studies

Pěchouček

Mařı́k

2008

Auton Agent Multi-Agent Syst

202

View full text Add to dashboard Cite

show abstract

“…This is mainly because the distributed and intelligent control approaches are raised in case of flexible and even redundant automation systems. Another related problem, as Hall et al (2005) note, is the demand of customers and industry for proven technology without wanting to be the first to try it in their production processes. This requires the maturity of the technology and the proofs of its real applicability and merits.…”

Section: Conceptual Efficiency In the Paradigmsmentioning

confidence: 99%

Agent-based distributed manufacturing control: A state-of-the-art survey

Leitão

2009

Engineering Applications of Artificial Intelligence

702

349

View full text Add to dashboard Cite

a b s t r a c tManufacturing has faced significant changes during the last years, namely the move from a local economy towards a global and competitive economy, with markets demanding for highly customized products of high quality at lower costs, and with short life cycles. In this environment, manufacturing enterprises, to remain competitive, must respond closely to customer demands by improving their flexibility and agility, while maintaining their productivity and quality. Dynamic response to emergence is becoming a key issue in manufacturing field because traditional manufacturing control systems are built upon rigid control architectures, which cannot respond efficiently and effectively to dynamic change. In these circumstances, the current challenge is to develop manufacturing control systems that exhibit intelligence, robustness and adaptation to the environment changes and disturbances. The introduction of multi-agent systems and holonic manufacturing systems paradigms addresses these requirements, bringing the advantages of modularity, decentralization, autonomy, scalability and reusability. This paper surveys the literature in manufacturing control systems using distributed artificial intelligence techniques, namely multi-agent systems and holonic manufacturing systems principles. The paper also discusses the reasons for the weak adoption of these approaches by industry and points out the challenges and research opportunities for the future.

show abstract

“…Similarly, the IEC 61499 standard [3] can be used to link low-level control with agents. Rockwell Automation developed several industrial control applications using this approach, for example the utilization of a steel rod bar mill and a reconfigurable control system for heating, ventilation, and air conditioning (HVAC) and a chilled water system (CWS) of a US Navy ship (Hall et al [41] provide an overview of these applications). In the CWS system the reconfiguration is one of the major requirements.…”

Section: Holonic and Agent-based Controlmentioning

confidence: 98%

Developments in dynamic and intelligent reconfiguration of industrial automation

Brennan

Vrba²,

Tichý³

et al. 2008

Computers in Industry

View full text Add to dashboard Cite

Experience with Holonic and Agent-Based Control Systems and Their Adoption by Industry

Cited by 32 publications

References 2 publications

Industrial deployment of multi-agent technologies: review and selected case studies

Industrial deployment of multi-agent technologies: review and selected case studies

Agent-based distributed manufacturing control: A state-of-the-art survey

Developments in dynamic and intelligent reconfiguration of industrial automation

Contact Info

Product

Resources

About