@inproceedings{431eac6f9dc34698aab91ed053997e23,
title = "An agent-based simulation modeling approach for dynamic job-shop manufacturing system",
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",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018 ; Conference date: 07-02-2018 Through 09-02-2018",
year = "2019",
doi = "10.1007/978-981-13-0761-4_72",
language = "English",
isbn = "9789811307607",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "751--760",
editor = "Bansal, {Jagdish Chand} and Kim, {Joong Hoon} and Anupam Yadav and Kusum Deep and Neha Yadav",
booktitle = "Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018",
address = "Germany",
}