Towards a virtual factory prototype

A virtual factory should represent most of the features and operations of the corresponding real factory. Some of the key features of the virtual factory include the ability to assess performance at multiple resolutions and generate analytics data similar to that possible in a real factory. One should be able to look at the overall factory performance and be able to drill down to a machine and analyze its performance. It will require a large amount of effort and expertise to build such a virtual factory. This paper describes an effort to build a multiple resolution model of a manufacturing cell. The model provides the ability to study the performance at the cell level or at the machine level. The benefits and limitations of the presented approach and future research directions are also described.

[1]  C. McLean,et al.  A proposed hierarchical control model for automated manufacturing systems , 1986 .

[2]  Theodore J. Williams,et al.  The Purdue Enterprise Reference Architecture , 1992, DIISM.

[3]  Mark L. Berenson,et al.  Basic Business Statistics : Concepts and Applications , 2007 .

[4]  Christoph Herrmann,et al.  Energy oriented simulation of manufacturing systems - Concept and application , 2011 .

[5]  Zailin Guan,et al.  A Framework of Digital Factory System Using Multi-Resolution Simulation , 2012 .

[6]  Björn Johansson,et al.  Multi-resolution modeling for supply chain sustainability analysis , 2013, 2013 Winter Simulations Conference (WSC).

[7]  Tag Gon Kim,et al.  Specification of multi-resolution modeling space for multi-resolution system simulation , 2013, Simul..

[8]  Sanjay Jain,et al.  Virtual factory revisited for manufacturing data analytics , 2014, Proceedings of the Winter Simulation Conference 2014.

[9]  Simon J. E. Taylor,et al.  A hybrid agent-based and Discrete Event Simulation approach for sustainable strategic planning and simulation analytics , 2014, Proceedings of the Winter Simulation Conference 2014.

[10]  Sanjay Jain,et al.  Data analytics using simulation for smart manufacturing , 2014, Proceedings of the Winter Simulation Conference 2014.

[11]  Boris Otto,et al.  Design Principles for Industrie 4.0 Scenarios: A Literature Review , 2015 .

[12]  W. Terkaja,et al.  A Virtual Factory Data Model as a support tool for the simulation of manufacturing systems , 2015 .

[13]  Xiang Yang,et al.  Manufacturing system design with virtual factory tools , 2015, Int. J. Comput. Integr. Manuf..

[14]  F. Hemez Verifying and Validating Simulation Models , 2015 .

[15]  Sotiris Makris,et al.  The role of simulation in digital manufacturing: applications and outlook , 2015, Int. J. Comput. Integr. Manuf..