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Agent-Based Modeling: Methods and Techniques for Scheduling Industrial Machine Operation

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Agent-Based Modeling: Methods and Techniques for Scheduling Industrial Machine Operation


Chiagunye Tochukwu | Inyiama Hyacinth | Aguodoh Patrick C.

https://doi.org/10.31142/ijtsrd7018



Chiagunye Tochukwu | Inyiama Hyacinth | Aguodoh Patrick C. "Agent-Based Modeling: Methods and Techniques for Scheduling Industrial Machine Operation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1, December 2017, pp.465-474, URL: https://www.ijtsrd.com/papers/ijtsrd7018.pdf

Owing to its impact on the industrial economy, job shop scheduler and controller are vital algorithms for modern manufacturing processes. Hence a production scheduling and control that performs reactive (not deterministic) scheduling and can make decision on which job to process next based solely on its partial (not central) view of the plant becomes necessary. This requirement puts the problem in the class of agent based model (ABM). Hence this work adopts an alternative view on job-shop scheduling problem where each resource is equipped with adaptive agent that, independent of other agents makes job dispatching decision based on its local view of the plant. A combination of Markov Chain instruments and agent oriented analysis is used in the analysis of the proposed agent based model (ABM) for the job shop scheduling problem. The Markov Chain approach allows a rigorous analysis of the ABM. It provides a general framework of aggregation in agent-based and related computational models by making use of Markov Chain aggregation and lumpability theory in order to link the micro and the macro level of observation. Simulated annealing technique is used for carrying out the optimization modeling for the ABM.

Agent-Based, Scheduling, Industry, Machine Operation, Markov Chain


IJTSRD7018
Volume-2 | Issue-1, December 2017
465-474
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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