Simulation in Manufacturing: Review and Challenges
By Dimitris Mourtzis, M. Doukas, D. Bernidaki. 2014
330 citations recorded by the source corpus.
Abstract Simulation comprises an indispensable set of technological tools and methods for the successful implementation of digital manufacturing, since it allows for the experimentation and validation of product, process and system design and configuration. Especially in todays’ turbulent manufacturing environment, which is affected by megatrends such as globalisation and ever-increasing requirements for higher degree of product customisation and personalisation, the value of simulation is evident. This keynote paper investigates the major milestones in the evolution of simulation technologies and examines recent industrial and research applications and findings. Based on this review, the identification of gaps in current practices is presented, and future trends and challenges to be met on the field are outlined. The considered simulation methods and tools include CAx, Factory layout design, Material and Information flow design, Manufacturing Networks Design, Manufacturing Systems Planning and Control, Manufacturing Networks Planning and Control, Augmented and Virtual Reality in product and process design, planning and verification (ergonomics, robotics, etc.). The evolution, advances, current practices and future trends of these technologies, industrial applications and research results are discussed in the context of the contemporary manufacturing industry.
Subfields: Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/bd1f7af75d169640b11b310680b0a88dccd57381
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In Industrial and Manufacturing Engineering
Citations in the corpus
- Human–robot interaction review and challenges on task planning and programming (2016, background): “An extended research on digital manufacturing tools was presented in Chryssolouris et al. (2009) when the role of simulation was presented in Mourtzis, Doukas, and Bernidaki (2014).”
- Simulation in the design and operation of manufacturing systems: state of the art and new trends (2019, methodology): “…in order to gain insight into these complex systems, testing new operating or resource policies and new concepts or systems before implementing them (Chung 2004), and last but not least, gathering information and knowledge without disturbing the actual system (Mourtzis, Doukas, and Bernidaki 2014).”