An agent-based simulation modeling approach for dynamic job-shop manufacturing system

Om Ji Shukla; Gunjan Soni; Rajesh Kumar; A. Sujil; Surya Prakash

doi:10.1007/978-981-13-0761-4_72

An agent-based simulation modeling approach for dynamic job-shop manufacturing system

Om Ji Shukla
, Gunjan Soni
, Rajesh Kumar
, A. Sujil
, Surya Prakash

Malaviya National Institute of Technology
BML Munjal University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Dynamic nature of global market requires a manufacturing system, which can quickly adapt and respond rapid changes. This type of manufacturing system needs to generate efficient production schedules to deal with quick changes. The efficient production schedules can be generated through real-time data sharing in the manufacturing system, which enables dynamic nature in the system. This paper has proposed an agent-based simulation modeling approach with particular focus on simulation mechanism that facilitates real-time production scheduling in dynamic job-shop manufacturing system (DJMS). This approach incorporates SimEvents-based discrete event simulation and Stateflow-based multi-agent modeling in MATLAB environment.

Original language	English
Title of host publication	Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018
Editors	Jagdish Chand Bansal, Joong Hoon Kim, Anupam Yadav, Kusum Deep, Neha Yadav
Publisher	Springer Verlag
Pages	751-760
Number of pages	10
ISBN (Print)	9789811307607
DOIs	https://doi.org/10.1007/978-981-13-0761-4_72
Publication status	Published - 2019
Externally published	Yes
Event	4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018 - Gurgaon, India Duration: 7 Feb 2018 → 9 Feb 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	741
ISSN (Print)	2194-5357

Conference

Conference	4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018
Country/Territory	India
City	Gurgaon
Period	7/02/18 → 9/02/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Agent-based simulation modeling
Artificial intelligence
Dynamic job-shop manufacturing system
Multi-agent system
Stateflow

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-981-13-0761-4_72

Cite this

Shukla, O. J., Soni, G., Kumar, R., Sujil, A., & Prakash, S. (2019). An agent-based simulation modeling approach for dynamic job-shop manufacturing system. In J. C. Bansal, J. H. Kim, A. Yadav, K. Deep, & N. Yadav (Eds.), Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018 (pp. 751-760). (Advances in Intelligent Systems and Computing; Vol. 741). Springer Verlag. https://doi.org/10.1007/978-981-13-0761-4_72

Shukla, Om Ji ; Soni, Gunjan ; Kumar, Rajesh et al. / An agent-based simulation modeling approach for dynamic job-shop manufacturing system. Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018. editor / Jagdish Chand Bansal ; Joong Hoon Kim ; Anupam Yadav ; Kusum Deep ; Neha Yadav. Springer Verlag, 2019. pp. 751-760 (Advances in Intelligent Systems and Computing).

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abstract = "Dynamic nature of global market requires a manufacturing system, which can quickly adapt and respond rapid changes. This type of manufacturing system needs to generate efficient production schedules to deal with quick changes. The efficient production schedules can be generated through real-time data sharing in the manufacturing system, which enables dynamic nature in the system. This paper has proposed an agent-based simulation modeling approach with particular focus on simulation mechanism that facilitates real-time production scheduling in dynamic job-shop manufacturing system (DJMS). This approach incorporates SimEvents-based discrete event simulation and Stateflow-based multi-agent modeling in MATLAB environment.",

keywords = "Agent-based simulation modeling, Artificial intelligence, Dynamic job-shop manufacturing system, Multi-agent system, Stateflow",

author = "Shukla, \{Om Ji\} and Gunjan Soni and Rajesh Kumar and A. Sujil and Surya Prakash",

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Shukla, OJ, Soni, G, Kumar, R, Sujil, A & Prakash, S 2019, An agent-based simulation modeling approach for dynamic job-shop manufacturing system. in JC Bansal, JH Kim, A Yadav, K Deep & N Yadav (eds), Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018. Advances in Intelligent Systems and Computing, vol. 741, Springer Verlag, pp. 751-760, 4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018, Gurgaon, India, 7/02/18. https://doi.org/10.1007/978-981-13-0761-4_72

An agent-based simulation modeling approach for dynamic job-shop manufacturing system. / Shukla, Om Ji; Soni, Gunjan; Kumar, Rajesh et al.
Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018. ed. / Jagdish Chand Bansal; Joong Hoon Kim; Anupam Yadav; Kusum Deep; Neha Yadav. Springer Verlag, 2019. p. 751-760 (Advances in Intelligent Systems and Computing; Vol. 741).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Shukla OJ, Soni G, Kumar R, Sujil A, Prakash S. An agent-based simulation modeling approach for dynamic job-shop manufacturing system. In Bansal JC, Kim JH, Yadav A, Deep K, Yadav N, editors, Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018. Springer Verlag. 2019. p. 751-760. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-981-13-0761-4_72

An agent-based simulation modeling approach for dynamic job-shop manufacturing system

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this