Parallel discrete event simulation algorithm for manufacturing supply chains
UNSPECIFIED. (2004) Parallel discrete event simulation algorithm for manufacturing supply chains. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 55 (6). pp. 622-629. ISSN 0160-5682Full text not available from this repository.
Official URL: http://dx.doi.org/10.1057/palgrave.jors.2601688
Parallel discrete event simulation (PDES) is concerned with the distributed execution of large-scale system models on multiple processors. It is an enabler in the implementation of the virtual enterprise concept, integrating semi-autonomous models of production cells, factories, or units of a supply chain. The key issue in PDES is to maintain causality relationships between system events, while maximizing parallelism in their execution. Events can be executed conservatively only when it is safe to do so, sacrificing the extent to which potential parallelism of the system can be exploited. Alternatively, they can be processed optimistically without guarantee of correctness, but incurring the overhead of a rollback to an earlier saved state when causality error is detected. The paper proposes a modified optimistic scheme for distributed simulation of constituent models of a supply chain in manufacturing, which exploits the inherent operating characteristics of its domain.
|Item Type:||Journal Article|
|Subjects:||H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management|
|Journal or Publication Title:||JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY|
|Publisher:||PALGRAVE PUBLISHERS LTD|
|Number of Pages:||8|
|Page Range:||pp. 622-629|
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