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Developing an Object Exchange Model Template for GRIDS distributed supply chain simulations

Authors: Gary S. H. Tan; Wee Ngee Ng; Simon J. E. Taylor;

Developing an Object Exchange Model Template for GRIDS distributed supply chain simulations

Abstract

Supply chain management (SCM) is a series of activities, usually sequential, that an organisation, or a network of organisations, uses to deliver products and/or services to customers. With the globalisation of commercial markets, distributed supply chain (DSQ) simulation, connecting organisations from various parts of the world, has gained significance in supply chain management decision support. DSC simulation requires that information be transferred between individual simulations (interoperability) in a timely and consistent manner. In this work GRIDS (Generic Runtime Infrastructure for Distributed Simulation), an extensible, service-based RTI, is used to successfully transfer timely information between simulations. However, the question of what format this information should take still remains. This paper presents the development of an Object Exchange Model Template (OEMT), for DSC simulation in GRIDS. These are templates for standard object creation within a DSC simulation, so as to facilitate standard object transfers between the various simulations that compose a DSC simulation. The templates are stored in an Object Exchange Model Repository (OEMR) for easy access by all simulation builders intending to build a DSC simulation using GRIDS. The OEMT facilitates interoperability by providing a common "language" that can be used to share information (objects) between simulations. This approach can also facilitate data distribution management (DDM) services. The OEMT is intended to extend and complement the OMT of the High Level Architecture.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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