WSC 2007 Final Abstracts

Simulation Interoperability / Manufacturing Track

Tuesday 1:30:00 PM 3:00:00 PM
Manufacturing Simulation Interoperability

Chair: Sanjay Jain (The George Washington University)

Enabling Industrial Scale Simulation / Emulation Models
Michael Johnstone, Doug Creighton, and Saeid Nahavandi (Deakin University)

OLE Process Control (OPC) is an industry standard that facilitates the communication between PCs and Programmable Logic Controllers (PLC). This communication allows for the testing of control systems with an emulation model. When models require faster and higher volume communications, limitations within OPC prevent this. In this paper an interface is developed to allow high speed and high volume communications between a PC and PLC enabling the emulation of larger and more complex control systems and their models. By switching control of elements within the model between the model engine and the control system it is possible to use the model to validate the system design, test the real world control systems and visualise real world operation.

Generic Simulation of Automotive Assembly for Interoperability Testing
Deogratias Kibira and Charles R. McLean (National Institute of Standards and Technology)

Computer simulation is effective in improving the efficiency of manufacturing system design, operation, and maintenance. Most simulation models are usually tailored to address a narrow set of industrial issues, e.g., the introduction of a new product. If generic data-driven simulations could be developed they would be reusable for wider application including interoperability testing of standards for exchange of data across the supply chain in manufacturing. To facilitate future interoperability testing and training, scientists at the National Institute of Standards and Technology are currently developing distributed, integrated manufacturing simulations for automotive manufacturing. These simulations are being developed at four different levels: the supply chain, the assembly plant, the engineering systems, and the shop floor level. This pa-per describes the development of a simulation model of the final assembly plant. Future efforts will increase the versatility of the model, run it on neutral data and extend integration with supply chain simulation

Distributed Simulation for Interoperability Testing Along the Supply Chain
Sanjay Jain (The George Washington University) and Frank Riddick, Andreas Craens, and Deogratias Kibira (National Institute of Standards and Technology)

The need for interoperability of information systems among supply chain partners has been recognized. A number of standards have been or are being developed to ensure interoperability of applications used along the supply chain. An associated need for interoperability testing has emerged. There is a need to evaluate compliance of applications to standards across specific platforms. The standards themselves need to be evaluated for a comprehensive coverage of the application scope (validation testing). This paper reports on a distributed simulation based approach for supply chain interoperability testing. Simulations are used to represent real life organizations to serve as sources and consumers of dynamic data. The data can be encapsulated per the standard under consideration and exchanged with other organizations directly or through selected applications for testing. Error free performance of the simulated systems over time will provide confidence in the interoperability of applications and in the standards themselves.

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