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Cloud based data capture and representation for simulation in small and medium enterprises

Authors:

Diana Carvalho e Ferreira,

P. J. ByrneAuthors Info & Claims

WSC '15: Proceedings of the 2015 Winter Simulation Conference

Pages 2195 - 2206

Published: 06 December 2015 Publication History

Abstract

The data collection and representation phase is an important phase within the lifecycle of a DES study. It is recognized that for large companies the data collection and representation phase differs when compared to SMEs. DES is not widely used by small to medium sized enterprises (SMEs) due to complexity and related costs being prohibitively high. DES-related data can be stored in a variety of formats and it is not always evident what data is required (if even available) to support a DES model in relation to specific problem scenarios. Building on previous research output, this paper presents the implementation of a Cloud based SaaS application to process input data from a SME in the medical industry and to output this information to in a usable format towards data-driven automated simulation model building.

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Cited By

Schumacher BKohl H(2020)Learning environment for introduction in discrete-event simulation for design and improvement of new and existing material flow systemsProceedings of the Winter Simulation Conference10.5555/3466184.3466554(3224-3235)Online publication date: 14-Dec-2020
https://dl.acm.org/doi/10.5555/3466184.3466554

Cloud based data capture and representation for simulation in small and medium enterprises
1. Applied computing

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cover image ACM Conferences

WSC '15: Proceedings of the 2015 Winter Simulation Conference

December 2015

4051 pages

ISBN:9781467397414

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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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IEEE Press

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Published: 06 December 2015

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WSC '15: Winter Simulation Conference

December 6 - 9, 2015

California, Huntington Beach

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WSC '15 Paper Acceptance Rate 202 of 296 submissions, 68%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

Schumacher BKohl H(2020)Learning environment for introduction in discrete-event simulation for design and improvement of new and existing material flow systemsProceedings of the Winter Simulation Conference10.5555/3466184.3466554(3224-3235)Online publication date: 14-Dec-2020
https://dl.acm.org/doi/10.5555/3466184.3466554

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