Modeling and Simulation of Agent’s Structure for a Manufacturing System Using SimEvents

Discrete event simulation is the most flexible simulation tool that analyses the dynamic nature of manufacturing systems and evaluates operating strategies for decision support in manufacturing applications. The modeling and simulation of agents’ structure for a job-shop manufacturing system (JMS) is presented in this chapter which provides basic framework to develop agent based system for JMS. This chapter mainly focuses on exploration and evaluation of SimEvents (a Simulink toolbox in Matlab) for analysing the structure of agents in a case of job-shop problem.

[1]  Paolo Renna,et al.  Deteriorating job scheduling problem in a job-shop manufacturing system by multi-agent system , 2015, Int. J. Comput. Integr. Manuf..

[2]  Ali Azadeh,et al.  A hybrid computer simulation-artificial neural network algorithm for optimisation of dispatching rule selection in stochastic job shop scheduling problems , 2012 .

[3]  Anish Sachdeva,et al.  Planning and optimizing the maintenance of paper production systems in a paper plant , 2008, Comput. Ind. Eng..

[4]  Marcelo Seido Nagano,et al.  Modeling the dynamics of a multi-product manufacturing system: A real case application , 2015, Eur. J. Oper. Res..

[5]  Charles Mbohwa,et al.  A Model Reference Adaptive Control (MRAC) System for the Pneumatic Valve of the Bottle Washer in Beverages Using Simulink , 2017 .

[6]  B. Shirazi,et al.  A Review of Simulation-based Intelligent Decision Support System Architecture for the Adaptive Control of Flexible Manufacturing Systems , 2010 .

[7]  Mark Stevenson,et al.  Workload control in job shops with re-entrant flows: an assessment by simulation , 2016 .

[8]  Oscar A. Ortiz,et al.  Dynamic simulation of a pilot rotary kiln for charcoal activation , 2005, Comput. Chem. Eng..

[9]  Shahram Sarkani,et al.  Multi-scale modeling and simulation of complex systems: Opportunities and challenges , 2016 .

[10]  Abdessalem Jerbi,et al.  The cellular manufacturing paradox: a critical review of simulation studies , 2008 .

[11]  Andrew Taylor,et al.  A Control and Monitoring Oriented Model of a Film Manufacturing Process , 2008 .

[12]  Reza Tavakkoli-Moghaddam,et al.  A computer simulation model for job shop scheduling problems minimizing makespan , 2005, Comput. Ind. Eng..

[13]  Hing Kai Chan,et al.  The State of the Art in Simulation Study on FMS Scheduling: A Comprehensive Survey , 2002 .

[14]  Mohammed A. Omar,et al.  A hybrid simulation approach for predicting energy flows in production lines , 2016 .

[15]  Huai Gao,et al.  A modeling method of task-oriented energy consumption for machining manufacturing system , 2012 .

[16]  Nicholas R. Jennings,et al.  A Roadmap of Agent Research and Development , 2004, Autonomous Agents and Multi-Agent Systems.

[17]  Hasse Nylund,et al.  Simulation of service-oriented and distributed manufacturing systems , 2010 .

[18]  Jeffrey S. Smith,et al.  Simulation for manufacturing system design and operation: Literature review and analysis , 2014 .

[19]  S. N. Samy,et al.  A Framework for Modelling Reconfigurable Manufacturing Systems Using Hybridized Discrete-Event and Agent-based Simulation , 2015 .

[20]  Maghsud Solimanpur,et al.  Development of a simulation-based decision support system for controlling stochastic flexible job shop manufacturing systems , 2010, Simul. Model. Pract. Theory.

[21]  Muhammad Imran,et al.  Cell formation in a cellular manufacturing system using simulation integrated hybrid genetic algorithm , 2017, Comput. Ind. Eng..

[22]  Sami Kara,et al.  A hierarchical framework for concurrent assessment of energy and water efficiency in manufacturing systems , 2016 .

[23]  Tillal Eldabi,et al.  Simulation in manufacturing and business: A review , 2010, Eur. J. Oper. Res..

[24]  Gunnar Bolmsjö,et al.  A survey of the use of the discrete-event simulation in manufacturing industry , 2002 .

[25]  Hing Kai Chan,et al.  A comprehensive survey and future trend of simulation study on FMS scheduling , 2004, J. Intell. Manuf..