Manufacturing system design methodology: execute the specification

Author(s):  
R.P. Judd ◽  
R.S. VanderBok ◽  
M.E. Brown ◽  
J.A. Sauter
Author(s):  
Florea Adrian ◽  
Mironescu Ion ◽  
Crăciunean Daniel ◽  
Morariu Daniel ◽  
Volovici Daniel

Abstract This paper presents a design method and tool developed to support the skill forming activities in the DigiFoF network (https://www.digifof.eu/). The focus is on training of manufacturing system design skills both as HEI education and vocational training, but preliminary design of new manufacturing systems is also supported (e.g in the development of small business process scenarios). We proposed a model-based methodology for solving of the manufacturing system design problems The methodology and the supporting tool are centred around a less abstract Domain-Specific Modelling Language (DSML). The language is easy to learn due to its few components. A modelling and simulation environment named Digital Production Planner Tool (DPPT) was generated from the metamodel of the DSML. The degree of abstraction used by this tool corresponds well to the intended use in training and preliminary design. Our method incorporates by design the possibility to impose constraints at the modelling language level to limit the modelling space to feasible/possible solutions. The resulting tool enforces these constraints in the use and supports the development of feasible designs even by inexperienced designers. The access to the conceptual model allows the translation of the model to other modelling language like Petri net. This extends the support for the design methodology. The whitepaper presents a use case for the developed method and tool: the design of a chocolate manufacturing line.


2018 ◽  
Vol 141 (1) ◽  
Author(s):  
Junfeng Ma ◽  
Raed Jaradat ◽  
Omar Ashour ◽  
Michael Hamilton ◽  
Parker Jones ◽  
...  

Manufacturing system design is a complex engineering field that requires cooperated and aggregated multiple-disciplinary theoretical and practical support. Thereby, the concepts and topics in manufacturing system design courses are not easy to grasp by students. Advances in virtual reality (VR) technology present a new opportunity that can provide the implementation of complex engineering theory from industrial real-life practice in a virtual 3D model. The authors developed a unique queuing theory VR teaching module that can be used in a manufacturing system design course. The module uses Oculus Rift headset, Oculus Touch, and unity 3D software package. The efficacy of this VR teaching module is measured through simulation sickness, system usability, and user experience tools. The statistical analysis shows that VR teaching module is a user-friendly and efficient tool for delivering queueing theory. Approximately 91.7% of the participants experienced below moderate level simulation sickness and none of them withdrew from the study; 91.67% had “above average” satisfaction in terms of system usability. The average user experience was found to be 3.625 out 6. The results also show that the system usability has impact on students' knowledge gain but not motivation, while user experience can affect student's knowledge gain and motivation. VR teaching module outperforms the traditional teaching module in terms of knowledge gain and motivation. Overall, the findings of the study confirm the efficacy of VR technology in teaching queuing theory.


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