Manufacturing Systems Simulation

This micro-credential offers a valuable opportunity for students to delve into the essentials of Discrete Event Simulation, an integral field in engineering and scientific practice. Participants will gain comprehensive knowledge and skills relating to the development and analysis of simulation models, with a specific focus on solving manufacturing systems problems. Engaging in this program allows students to actively participate in various learning activities such as attending weekly lectures and laboratory sessions, completing assignments, and presenting their findings during end-of-semester examinations. By enrolling in this micro-credential, individuals can expect to acquire practical expertise that can be immediately applied within real-world scenarios. The curriculum is designed to foster critical thinking abilities while also nurturing proficiency through hands-on experiences.

Upon successful completion of this micro-credential students will be able to:

• Develop conceptual, paper based, models of manufacturing systems problems as a prior step to developing a discrete event simulation model.
• Develop a discrete event simulation model.
• Distinguish between the concepts of model verification, validation and credibility and make recommendations on how to best accomplish each of these in a manufacturing environment.
• Assess the goodness of fit of a theoretical probability distribution to a dataset of observations.
• Analyse the outputs of discrete event simulation models to determine appropriate simulation model run lengths, identify the warm-up period, and determine the appropriate number of runs required to achieve a desired level of confidence in the estimate of a performance measure.
• Identify and implement an appropriate variance reduction technique when designing simulation experiments.
• Analyse the output of simulation models to compare the results of two or more alternative system configurations and/or operating policies.

A Primary Honours degree, Level 8 in Electronic/Electrical/Computer Engineering, Applied Physics, Computer Sciences or other Cognate/Engineering Disciplines. Applications are also invited from diverse educational and/or employment backgrounds, with applications evaluated on a case-by-case basis. 

And also to indicate the required documentation:

• Please provide Academic Transcripts for final year of study where appropriate (English translation)
• All applicants must submit a copy of their passport
• Please upload a CV

If applicable, evidence of competence in the English language as per DCU entry requirements.  Please see here.