Automation of input data to discrete event simulation for manufacturing: A review

Discrete event simulation (DES) is a well-established decision support tool in modeling work flows in manufacturing industry. But, there are an amount of practical and financial obstacles that deter the employment of this technology in industry. One of the main weaknesses of operating DES is the costs spent on collecting and mapping input data from different enterprise data resources into a DES model. Another issue is the cost of integrating simulation applications with other manufacturing applications. These barriers hinder the automated input of data into DES models and as a result deter use of real-time DES in manufacturing. This review presents the existing research studies in the literature that address the above issues, demonstrating in parallel the already implemented concepts. The scope of this review is to provide an overview of the input data phase, focusing on its automation and motivating researchers to re-examine this phase by highlighting future research directions.

[1]  Terrence D. Perera,et al.  General manufacturing applications: feasibility for automatic data collection , 2001, WSC '01.

[2]  Michael Iuliano.  The Role of Product Data Management in the Manufacturing Engineering ToolKit , 1997 .

[3]  Bengt Lennartson,et al.  Generation of STEP AP214 Models From Discrete Event Systems for Process Planning and Control , 2008, IEEE Transactions on Automation Science and Engineering.

[4]  Gergely Popovics,et al.  ISA Standard Simulation Model Generation Supported by Data Stored in Low Level Controllers , 2013 .

[5]  S. Faltinski,et al.  AutomationML: From data exchange to system planning and simulation , 2012, 2012 IEEE International Conference on Industrial Technology.

[6]  Björn Johansson,et al.  TIME-CONSUMPTION ANALYSIS OF INPUT DATA ACTIVITIES IN DISCRETE EVENT SIMULATION PROJECTS , 2007 .

[7]  Björn Johansson,et al.  Input data management in simulation - Industrial practices and future trends , 2012, Simul. Model. Pract. Theory.

[8]  Charles R. McLean,et al.  Future of the simulation industry, panel: the future of the simulation industry , 2003, WSC '03.

[9]  Stewart Robinson,et al.  General concepts of quality for discrete-event simulation , 2002, Eur. J. Oper. Res..

[10]  Sören Bergmann,et al.  Initialization of simulation models using CMSD , 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).

[11]  Frank Riddick,et al.  Pilot Implementation of the Core Manufacturing Simulation Data Model , 2008 .

[12]  Gunnar Bolmsjö,et al.  Database driven factory simulation: a proof-of-concept demonstrator , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[13]  Gunnar Bolmsjö,et al.  Reducing bottle‐necks in a manufacturing system with automatic data collection and discrete‐event simulation , 2005 .

[14]  Young-Jun Son,et al.  Interoperability of manufacturing applications using the Core Manufacturing Simulation Data (CMSD) standard information model , 2012, Comput. Ind. Eng..

[15]  Daniel Diep,et al.  Integration of agents and RFID in a manufacturing simulation , 2009, 2009 7th IEEE International Conference on Industrial Informatics.

[16]  Rainer Drath,et al.  AutomationML - the glue for seamless automation engineering , 2008, 2008 IEEE International Conference on Emerging Technologies and Factory Automation.

[17]  Albert T. Jones,et al.  Component based simulation modeling from neutral component libraries , 2003, Comput. Ind. Eng..

[18]  Jeffrey S. Smith,et al.  Advanced tutorial—simulation-based scheduling and control , 1996, Winter Simulation Conference.

[19]  Markus Rabe,et al.  An approach for increasing the level of accuracy in Supply Chain simulation by using patterns on input data , 2014, Proceedings of the Winter Simulation Conference 2014.

[20]  Jerry Banks.  Introduction to simulation , 1999, WSC '99.

[21]  Terrence D. Perera,et al.  Automated data collection for simulation? , 2002, Simul. Pract. Theory.

[22]  Cathal Heavey,et al.  Proposed visual wiki system for gathering knowledge about discrete event systems , 2010, Proceedings of the 2010 Winter Simulation Conference.

[23]  Jeffrey S. Smith,et al.  Simulation system for real-time planning, scheduling, and control , 1996, Winter Simulation Conference.

[24]  Mikael Hedlind,et al.  The machine tool model-A core part of the digital factory , 2009 .

[25]  Charles R. McLean,et al.  Generic simulation of automotive assembly for interoperability testing , 2007, 2007 Winter Simulation Conference.

[26]  Mansooreh Mollaghasemi,et al.  Simulation input data modeling , 1994, Ann. Oper. Res..

[27]  Yung-Tsun T. Lee,et al.  A Core Manufacturing Simulation Data Information Model for Manufacturing Applications | NIST , 2006 .

[28]  Yan Luo,et al.  Application of Machine Shop Data Model in Manufacturing Simulation , 2005, MSV.

[29]  Shaw C. Feng,et al.  An Analysis of AP213 for Usage as a Process Plan Exchange Format , 1997 .

[30]  Wolfgang Kühn,et al.  Digitale Fabrik: Fabriksimulation für Produktionsplaner , 2006 .

[31]  Albert T. Jones,et al.  Automatic generation of simulation models from neutral libraries: an example , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[32]  Frank Riddick,et al.  Core Manufacturing Simulation Data – a manufacturing simulation integration standard: overview and case studies , 2011, Int. J. Comput. Integr. Manuf..

[33]  Cathal Heavey,et al.  Test Implementation and Initialisation of a Simulation Model Using CMSD , 2014 .

[34]  Russell S. Peak,et al.  STEP, XML, and UML: Complementary Technologies1 , 2004, J. Comput. Inf. Sci. Eng..

[35]  Sugato Bagchi,et al.  A full-factory simulator as a daily decision-support tool for 300MM wafer fabrication productivity , 2008, 2008 Winter Simulation Conference.

[36]  Michael J Iuliano.  Overview of the Manufacturing Engineering Toolkit prototype , 1995 .

[37]  John Ladbrook,et al.  TOWARDS COMPOSABLE SIMULATION: SUPPORTING THE DESIGN OF ENGINE ASSEMBLY LINES , 2003 .

[38]  Cathal Heavey,et al.  Development of an open-source Discrete Event Simulation cloud enabled platform , 2014, Proceedings of the Winter Simulation Conference 2014.

[39]  Cathal Heavey,et al.  Developing simulation as a desktop resource , 2004, Int. J. Comput. Integr. Manuf..

[40]  James Hill,et al.  Data identification and data collection methods in simulation: a case study at ORH Ltd , 2014, J. Simulation.

[41]  Björn Johansson,et al.  Simulation data architecture for sustainable development , 2010, Proceedings of the 2010 Winter Simulation Conference.

[42]  Anders Skoogh,et al.  Towards continuously updated simulation models: combining automated raw data collection and automated data processing , 2010, Proceedings of the 2010 Winter Simulation Conference.

[43]  Robert E. Shannon,et al.  Introduction to the art and science of simulation , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).

[44]  Ulla Seppala,et al.  A methodology for data gathering and analysis in a logistics simulation project , 1997 .

[45]  Terrence Perera,et al.  IDEF based methodology for rapid data collection , 2001 .

[46]  Christoph Laroque,et al.  Design and implementation of an MDA interface for flexible data capturing , 2010, J. Simulation.

[47]  Johan Stahre,et al.  Automated input data management: evaluation of a concept for reduced time consumption in discrete event simulation , 2012, Simul..

[48]  John W. Fowler,et al.  Grand Challenges in Modeling and Simulation of Complex Manufacturing Systems , 2004, Simul..

[49]  Gergely Popovics,et al.  Automatic Simulation Model Generation Based on PLC Codes and MES Stored Data , 2012 .

[50]  Jonathan Fournier.  Model building with Core Manufacturing Simulation Data , 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).

[51]  Shreekanth Moorthy.  Integrating the CAD model with dynamic simulation: simulation data exchange , 1999, WSC '99.

[52]  Terrence D. Perera,et al.  Methodology for rapid identification and collection of input data in the simulation of manufacturing systems , 2000, Simul. Pract. Theory.

[53]  Sang C. Park,et al.  Plant model generation for PLC simulation , 2010 .