Reactive Scheduling of a Decentralized Multi-Objective Material Transportation Tasks in a Dynamic Job Shop Manufacturing System

Muhammad Hafidz Fazli bin Md Fauadi; Fairul Azni Jafar; Adi Saptari; Wan Ling Li

doi:10.4028/www.scientific.net/AMM.564.597

Paper Titles

Hydrodynamic Cavitation Device that Makes Straw Cuts Suitable for Efficient Biogas Production
p.572

Municipal Waste Sludge Drying in an Agitated Drum Dryer
p.577

An Optimization Approach to Solve a Multi-Objective Unrelated Parallel Machine Scheduling Problem
p.585

Function-Based Conceptual Design Expert (CDE) Systems: Development Trend and Gaps Identification
p.590

Reactive Scheduling of a Decentralized Multi-Objective Material Transportation Tasks in a Dynamic Job Shop Manufacturing System
p.597

Communication System Improvement for Air Traffic Service to Provide a Continuous Surveillance over the Oceanic Area
p.604

Higher Desirability in Solving Multiple Response Optimization Problems with Committee Machine
p.608

Combination of Adaptive Enlargement and Reduction in the Search Neighbourhood in the Bees Algorithm
p.614

A Framework of Knowledge Based System for Integrated Maintenance Strategy and Operation
p.619

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 564Reactive Scheduling of a Decentralized...

Reactive Scheduling of a Decentralized Multi-Objective Material Transportation Tasks in a Dynamic Job Shop Manufacturing System

Abstract:

The increasingly challenging and dynamic nature of manufacturing industry has driven organizations to enhance their system efficiency. One of the most important aspects in manufacturing plant is the Material Transportation System (MTS). In order to address dynamic factors, MTS need to be equipped with rescheduling capability. This paper focuses on reactive transportation task assignment to a fleet of autonomous Automated Guided Vehicles (AGVs). This paper proposes a Mixed Integer Programming method to reschedule transportation tasks for a non-disruptive job shop manufacturing system based on Multi Agent System (MAS) architecture. The result shows that proposed rescheduling method is able to outperform conventional method significantly.

You might also be interested in these eBooks

Advances in Mechanical and Manufacturing Engineering

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 564)

Pages:

597-603

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.564.597

Citation:

Cite this paper

Online since:

June 2014

Authors:

Muhammad Hafidz Fazli bin Md Fauadi*, Fairul Azni Jafar, Adi Saptari, Wan Ling Li

Keywords:

Automated Guided Vehicle, Material Transportation System, Mixed Integer Programming, Reactive Scheduling

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Paulo Leitão, Engineering Applications of Artificial Intelligence, Vol. 22, Issue 7 (2009), pp.979-991.

Google Scholar

[2] Luping Zhang, T.N. Wong, R.Y.K. Fung, Intelligent Decision Technologies. Vol. 7(3) (2013), pp.197-211.

Google Scholar

[3] Martijn Mes, Matthieu van der Heijden and Jos van Hillegersberg, Decision Support Systems, Vol. 44 Issue 4 (2008), pp.983-999.

DOI: 10.1016/j.dss.2007.11.005

Google Scholar

[4] Andrew Wallace, Int. Journal of Production Research, Vol. 39 (4) (2001), p.709–726.

Google Scholar

[5] Sunderesh S. Heragu, Robert J. Graves, Byung-In Kim, Art S. Onge, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 32 (5) (2002), p.560–573.

DOI: 10.1109/tsmca.2002.804788

Google Scholar

[6] Sabuncuoglu, I. and Kizilisik, O. B., Int. Journal of Production Research, 41, 17 (2003), pp.4211-4231.

Google Scholar

[7] Guilherme E. Vieira, Jeffrey W. Herrmann, Edward Lin, Journal of Scheduling. Vol. 6, Issue 1 (2003), pp.39-62.

Google Scholar

[8] S. P. Singh and M. K. Tiwari, International Journal of Production Research, Volume 40 Issue 16 (2002), pp.4195-4223.

Google Scholar

[9] Tatsushi Nishi, Masakazu Ando, Masami Konishi, Robotics and Computer-Integrated Manufacturing. Vol. 22 Issue 2 (2006), p.154–165.

Google Scholar

[10] Muhammad Hafidz Fazli Bin Md Fauadi, Hao Wen Lin, Tomohiro Murata, IEEJ Transactions on Electronics, Information and Systems, Volume 132, Issue 5 (2012), pp.697-705.

Google Scholar

[11] Muhammad Hafidz Fazli Md Fauadi, SH Yahaya, T Murata, IEEJ Transactions on Electrical and Electronic Engineering 8 (4) (2013), pp.371-379.

Google Scholar

[12] B. S. P. Reddy and C. S. P. Rao:, International. Journal of Advanced Manufacturing Technology, Vol. 31, No. 5-6, (2006), pp.602-613.

Google Scholar