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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mustafee, Navonil Katsaliaki, Korina Taylor, Simon J. E. |
| Copyright Year | 2014 |
| Description | Author affiliation: Centre for Innovation & Service Research, University of Exeter Business School, EX4 4ST, UK (Mustafee, Navonil) || School of Economics & Business Administration & Legal Studies, International Hellenic University, Thessaloniki, 57001, GREECE (Katsaliaki, Korina) || Modelling & Simulation Group, Department of Computer Science, Brunel University, Uxbridge, UB8 3PH, UK (Taylor, Simon J. E.) |
| Abstract | M&S is a decision support technique that enables stakeholders to make better and more informed decisions; application of this to supply chains is referred to as supply chain simulation. The increasingly interconnected enterprise of the digital age benefit from cooperative decision making through the utilization of existing technological foundations, standards and tools (e.g., computer networks, data sharing standards, tools for collaborative working). Distributed Supply Chain Simulation (DSCS) facilitates such collective decision making by enabling simulation models of individual business processes/organizations to execute cooperatively over a computer network. The aim of this research is to identifying the advances in DSCS and its present state of play. Towards realization of this aim we present a methodological review of literature and complement this with our domain-specific knowledge in supply chains and parallel and distributed simulation. |
| Starting Page | 2872 |
| Ending Page | 2883 |
| File Size | 422725 |
| Page Count | 12 |
| File Format | |
| e-ISBN | 9781479974863 |
| DOI | 10.1109/WSC.2014.7020128 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computational modeling Supply chains Data models Adaptation models Educational institutions Bibliographies |
| Content Type | Text |
| Resource Type | Article |
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