A service-oriented simulation integration platform for hierarchical manufacturing planning and control

In this paper, a coherent and comprehensive distributed simulation platform is proposed to support hierarchical manufacturing planning and control. This platform enables integration of various hardware and software components within and across supply chain members, such as manufacturing equipment, physics-based process simulators, system-dynamic, agent-based and discrete-event simulators (DESs), and databases via web services technology. At the shop level, a DES model may run in a stand-alone mode, or in conjunction with other simulators (e.g. process or agent-based simulators) and/or hardware (e.g. robots and machines). At the enterprise level, multiple shop floor simulators (each representing a factory) are integrated into a geographically dispersed environment. Exemplary models simulating aircraft drill and assembly on the shop floor are developed in widely used packages, such as Arena®, Simio®, Anylogic® and ESPRIT®, and then integrated. The proposed platform with the hardware-in-the-loop capability is successfully implemented and demonstrated for an automated manufacturing cell in the Computer Integrated Manufacturing and Simulation lab at the University of Arizona. Experiments are conducted using the proposed platform to test (1) reduction in estimated variance of part cycle time given variations in order arrival rate, effectiveness of materials processers and material handlers, and (2) computational time performance of web services. The experimental results reveal that the proposed platform is viable to enable both vertical (shop simulator to equipment level process simulators and/or equipment) as well as horizontal (e.g. multiple shop level simulators) integrations.

[1]  Fei Tao,et al.  CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System , 2014, IEEE Transactions on Industrial Informatics.

[2]  Ray Y. Zhong,et al.  RFID-enabled real-time advanced planning and scheduling shell for production decision making , 2013, Int. J. Comput. Integr. Manuf..

[3]  Dong Xu,et al.  An integrated simulation, learning and game-theoretic framework for supply chain competition , 2014 .

[4]  Jayadev Misra,et al.  Distributed discrete-event simulation , 1986, CSUR.

[5]  João Carlos Espíndola Ferreira,et al.  A methodology for web-based manufacturing management and control , 2008, 2008 IEEE International Conference on Automation Science and Engineering.

[6]  Richard A. Wysk,et al.  Resource modeling for the integration of the manufacturing enterprise , 2001 .

[7]  Jeffrey S. Smith,et al.  Discrete event simulation for shop floor control , 1994, Proceedings of Winter Simulation Conference.

[8]  Roy Scrudder,et al.  High Level Architecture Object Model Development And Supporting Tools , 1998, Simul..

[9]  Dong Xu,et al.  Simulation-based assessment of change propagation effect in an aircraft design process , 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).

[10]  R.M. Fujimoto,et al.  Parallel and distributed simulation systems , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[11]  Sameh M. Saad,et al.  Development of a business model for diagnosing uncertainty in ERP environments , 2002 .

[12]  Durk-Jouke van der Zee,et al.  A Modeling Framework for Supply Chain Simulation: Opportunities for Improved Decision Making , 2005, Decis. Sci..

[13]  J. Venkateswaran,et al.  Hybrid system dynamic—discrete event simulation-based architecture for hierarchical production planning , 2005 .

[14]  Anne Kuefer,et al.  Creating Computer Simulation Systems An Introduction To The High Level Architecture , 2016 .

[15]  Young-Jun Son,et al.  Design and development of a prototype distributed simulation for evaluation of supply chains , 2004 .

[16]  Richard M. Fujimoto,et al.  Time Management in The High Level Architecture , 1998, Simul..

[17]  Richard A. Wysk,et al.  Simulation-based planning and control: From shop floor to top floor , 2007 .

[18]  Brian W. Unger.  Distributed simulation , 1988, WSC '88.

[19]  Marc-Thomas Schmidt,et al.  The Enterprise Service Bus: Making service-oriented architecture real , 2005, IBM Syst. J..

[20]  Jeffrey S. Smith,et al.  Simulation-based shop floor control , 2002 .

[21]  Judith S. Dahmann,et al.  Standards for Simulation: As Simple As Possible But Not Simpler The High Level Architecture For Simulation , 1998, Simul..

[22]  Paulo Leitão,et al.  High-level Petri nets for the process description and control in service-oriented manufacturing systems , 2012 .

[23]  J. Lygeros,et al.  Decision Making I , 2014 .

[24]  Mark Harman,et al.  Testing and verification in service‐oriented architecture: a survey , 2013, Softw. Test. Verification Reliab..

[25]  Siddharth Misra.  FRAMEWORK FOR ADAPTIVE TIME SYNCHRONIZATION METHOD FOR INTEGRATION OF DISTRIBUTED , HETEROGENEOUS , SUPPLY CHAIN SIMULATIONS , 2003 .

[26]  M. Harman,et al.  Testing & Verification In Service-Oriented Architecture : A Survey , 2012 .

[27]  Leon F. McGinnis,et al.  Distributed Supply Chain Simulation as a Decision Support Tool for the Semiconductor Industry , 2003, Simul..

[28]  Mostafa H. Ammar,et al.  A federated approach to distributed network simulation , 2004, TOMC.

[29]  Richard A. Wysk,et al.  Development and benchmarking of an epoch time synchronization method for distributed simulation , 2005 .

[30]  K. Mani Chandy,et al.  Distributed Simulation: A Case Study in Design and Verification of Distributed Programs , 1979, IEEE Transactions on Software Engineering.

[31]  Mike P. Papazoglou,et al.  Service oriented architectures: approaches, technologies and research issues , 2007, The VLDB Journal.

[32]  Sergio Cavalieri,et al.  Simulation in the supply chain context: a survey , 2004, Comput. Ind..

[33]  Xiaolin Hu,et al.  Simulation software as a service and Service-Oriented simulation experiment , 2011, 2011 IEEE International Conference on Information Reuse & Integration.

[34]  Mahmoud Houshmand,et al.  A collaborative and integrated platform to support distributed manufacturing system using a service-oriented approach based on cloud computing paradigm , 2013 .

[35]  Steffen Straßburger,et al.  Future trends in distributed simulation and distributed virtual environments: Results of a peer study , 2008, 2008 Winter Simulation Conference.

[36]  Stamatis Karnouskos,et al.  Integration of SOA-ready networked embedded devices in enterprise systems via a cross-layered web service infrastructure , 2007, 2007 IEEE Conference on Emerging Technologies and Factory Automation (EFTA 2007).

[37]  Jochen Schlick,et al.  Leveraging the Agility of Manufacturing Chains by Combining Process-Oriented Production Planning and Service-Oriented Manufacturing Automation , 2011 .

[38]  John Ladbrook,et al.  GRIDS-SCF: An Infrastructure for Distributed Supply Chain Simulation , 2002, Simul..

[39]  Xun Xu,et al.  Service-oriented, cross-platform and high-level machining simulation , 2012, Int. J. Comput. Integr. Manuf..

[40]  David Raber,et al.  Integration of Multiagent Systems and Service Oriented Architectures in the Steel Industry , 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

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

[42]  Sanjay Bose,et al.  Impact of service-oriented architecture on enterprise systems, organizational structures, and individuals , 2005, IBM Syst. J..

[43]  Young-Jun Son,et al.  Production Planning and Control via Service-oriented Simulation Integration Platform , 2014 .

[44]  Jiung-yao Huang,et al.  Smart Time Management - the unified time synchronization interface for the distributed simulation , 2005, Comput. Stand. Interfaces.

[45]  Hyunbo Cho,et al.  Design and conceptual development of shop-floor controllers through the manipulation of process plans , 2006, Int. J. Comput. Integr. Manuf..