The Integrated Use of Enterprise and System Dynamics Modelling Techniques in Support of Business Decisions

Enterprise modelling techniques support business process (re)engineering by capturing existing processes and based on perceived outputs, support the design of future process models capable of meeting enterprise requirements. System dynamics modelling tools on the other hand are used extensively for policy analysis and modelling aspects of dynamics which impact on businesses. In this paper, the use of enterprise and system dynamics modelling techniques has been integrated to facilitate qualitative and quantitative reasoning about the structures and behaviours of processes and resource systems used by a Manufacturing Enterprise during the production of composite bearings. The case study testing reported has led to the specification of a new modelling methodology for analysing and managing dynamics and complexities in production systems. This methodology is based on a systematic transformation process, which synergises the use of a selection of public domain enterprise modelling, causal loop and continuous simulation modelling techniques. The success of the modelling process defined relies on the creation of useful CIMOSA process models which are then converted to causal loops. The causal loop models are then structured and translated to equivalent dynamic simulation models using the proprietary continuous simulation modelling tool iThink.

[1]  MengChu Zhou,et al.  Modeling, Simulation, and Control of Flexible Manufacturing Systems - A Petri Net Approach , 1999, Series in Intelligent Control and Intelligent Automation.

[2]  R. H. Weston,et al.  Modelling dynamic value streams in support of process design and evaluation , 2009, Int. J. Comput. Integr. Manuf..

[3]  Kevin M. Passino,et al.  Stable Adaptive Control and Estimation for Nonlinear Systems , 2001 .

[4]  J. Forrester Industrial Dynamics , 1997 .

[5]  John D. Sterman,et al.  Business dynamics : systems thinking and modelling for acomplex world , 2002 .

[6]  George P. Richardson,et al.  Reflections for the future of system dynamics , 1999, J. Oper. Res. Soc..

[7]  Angappa Gunasekaran,et al.  Modelling and analysis of outsourcing decisions in global supply chains , 2010 .

[8]  Luis Rabelo,et al.  Using system dynamics, neural nets, and eigenvalues to analyse supply chain behaviour. A case study , 2008 .

[9]  Steffen Bayer,et al.  Business dynamics: Systems thinking and modeling for a complex world , 2004 .

[10]  Steve New Modeling and Analysis of Manufacturing Systems , 1994 .

[11]  J. Pearl Causality: Models, Reasoning and Inference , 2000 .

[12]  Peter Radford,et al.  Petri Net Theory and the Modeling of Systems , 1982 .

[13]  S. Vinodh,et al.  Fuzzy logic based leanness assessment and its decision support system , 2011 .

[14]  K. Kosanke,et al.  Process Oriented Presentation of Modelling Methodologies , 1996 .

[15]  John D. Sterman,et al.  System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .

[16]  E. Gardner,et al.  Optimal storage properties of neural network models , 1988 .

[17]  Marvin Minsky,et al.  An introduction to computational geometry , 1969 .

[18]  Radmehr P. Monfared A component-based approach to design and construction of change capable manufacturing cell control systems , 2000 .

[19]  R. H. Weston,et al.  Model‐driven, component‐based approach to reconfiguring manufacturing software systems , 1999 .

[20]  Bernd Scholz-Reiter,et al.  Modelling and Control of Production Systems based on Nonlinear Dynamics Theory , 2002 .

[21]  J Swanson,et al.  Business Dynamics—Systems Thinking and Modeling for a Complex World , 2002, J. Oper. Res. Soc..

[22]  R. P. Cherian,et al.  Modelling the relationship between process parameters and mechanical properties using Bayesian neural networks for powder metal parts , 2000 .

[23]  Joseph O. Ajaefobi,et al.  Human systems modelling in support of enhanced process realisation , 2004 .

[24]  Richard H. Weston,et al.  On modelling reusable components of change-capable manufacturing systems , 2009 .

[25]  Rogelio Oliva,et al.  Maps and models in system dynamics: a response to Coyle , 2001, System Dynamics Review.

[26]  Jørgen Randers,et al.  Elements of the System Dynamics Method , 1997 .

[27]  Peter Bernus,et al.  Enterprise integration — engineering tools for designing enterprises , 1996 .

[28]  Rajat Roy,et al.  Modelling and analysis of manufacturing systems: Ronald G. Askin and Charles R. Standridge John Wiley & Sons Chichester (1993) xvi + 461 pp £16.95 ISBN 0 471 57369 8 , 1994 .

[29]  Jing Sun,et al.  Design and Automatic Tuning of Fuzzy Logic Control for an Active Suspension System , 1993 .

[30]  Ebrahim Shayan,et al.  A fuzzy logic modelling of dynamic scheduling in FMS , 2006 .

[31]  Xinyu Shao,et al.  Integration of rough set and neural network ensemble to predict the configuration performance of a modular product family , 2010 .

[32]  Mohamed Mohamed Naim,et al.  ‘Bullwhip’ and ‘backlash’ in supply pipelines , 2009 .

[33]  Yau-Tarng Juang,et al.  A projection approach to stability analysis and design of fuzzy systems , 2003, IEEE Trans. Syst. Man Cybern. Part A.

[34]  Richard H. Weston,et al.  The enhanced use of enterprise and simulation modellingtechniques to support factory changeability , 2007, Int. J. Comput. Integr. Manuf..

[35]  Amit Kumar Gupta,et al.  Predictive modelling of turning operations using response surface methodology, artificial neural networks and support vector regression , 2010 .

[36]  Richard H. Weston,et al.  Systems approach to modelling cost and value dynamics in manufacturing enterprises , 2011 .

[37]  Kwabena Agyapong-Kodua,et al.  Multi-product cost and value stream modelling: in support of business process analysis , 2010 .

[38]  Hördur V. Haraldsson,et al.  Developing System Dynamics Models from Causal Loop Diagrams. , 2004 .

[39]  E F Wolstenholme,et al.  Qualitative vs quantitative modelling: the evolving balance , 1999, J. Oper. Res. Soc..

[40]  Celal Batur,et al.  Automated rule-based model generation for uncertain complex dynamic systems , 1991 .

[41]  Onur M. Ülgen,et al.  A Component Strategy for the Formulation of System Dynamics Models , 2002 .