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

Dong Xu, Sai Srinivas Nageshwaraniyer, Young Jun Son

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)7212-7230
Number of pages19
JournalInternational Journal of Production Research
Issue number23
StatePublished - Dec 1 2016


  • distributed simulation
  • manufacturing planning and control
  • process simulation
  • simulation integration

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering


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