An Agent-Based Simulation Modeling Approach for Dynamic Job-Shop Manufacturing System

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.

[1]  Sergey Polyakovskiy,et al.  A multi-agent system for the weighted earliness tardiness parallel machine problem , 2014, Comput. Oper. Res..

[2]  Ahmed Chiheb Ammari,et al.  An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem , 2015, Journal of Intelligent Manufacturing.

[3]  Adil Baykasoglu,et al.  Dynamic virtual cellular manufacturing through agent-based modelling , 2017, Int. J. Comput. Integr. Manuf..

[4]  Angel A. Juan,et al.  A multi-agent based cooperative approach to scheduling and routing , 2016, Eur. J. Oper. Res..

[5]  Weiming Shen,et al.  Real time distributed shop floor scheduling using an agent-based service-oriented architecture , 2008 .

[6]  Michael J. North,et al.  Agent-based modeling and simulation , 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

[7]  Abdelghani Bekrar,et al.  An effective particle swarm optimization algorithm for flexible job-shop scheduling problem , 2013, Proceedings of 2013 International Conference on Industrial Engineering and Systems Management (IESM).

[8]  Rajesh Kumar,et al.  Multi agent system: concepts, platforms and applications in power systems , 2016, Artificial Intelligence Review.

[9]  László Monostori,et al.  Agent-based systems for manufacturing , 2006 .

[10]  Yu-Cheng Chou,et al.  A bio-inspired mobile agent-based integrated system for flexible autonomic job shop scheduling , 2013 .

[11]  Jie Zhang,et al.  Multi-agent-based hierarchical collaborative scheduling in re-entrant manufacturing systems , 2016 .

[12]  J. Sun,et al.  A dynamic reactive scheduling mechanism for responding to changes of production orders and manufacturing resources , 2001, Comput. Ind..

[13]  Manoj Kumar Tiwari,et al.  A Multi-Agent System based simulation approach for planning procurement operations and scheduling with multiple cross-docks , 2017, Comput. Ind. Eng..