Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Journal of Intelligent Manufacturing
Erschienen in: Journal of Intelligent Manufacturing 5/2017

21.03.2015

Estimating the simulation workload for factory simulation as a cloud service

verfasst von: Toly Chen, Chi-Wei Lin

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 5/2017

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

An essential and practical application of cloud manufacturing is factory simulation as a cloud service (FSaaCS). In this paper, several topics related to implementing FSaaCS are discussed. Among them, load balancing is considered a critical topic. To address this topic, estimating a simulation workload is a crucial step. After factors critical to estimating a simulation workload were summarized, several methods were applied to estimate a simulation load, relevant to the required simulation time, from these factors. An experiment using real data was conducted to compare the performance of these methods. In addition, the paired \(t\) test was performed and the results indicated that the performance of the fuzzy collaborative method is superior to those of some existing methods.
Vorheriger Artikel A new paradigm of cloud-based predictive maintenance for intelligent manufacturing
Nächster Artikel A digital equipment identifier system

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Anhänge
Nur mit Berechtigung zugänglich
Literatur
Archimede, B., Letouzey, A., Memon, M. A., & Xu, J. (2014). Towards a distributed multi-agent framework for shared resources scheduling. Journal of Intelligent Manufacturing, 25(5), 1077–1087.CrossRef
Borangiu, T., Raileanu, S., Trentesaux, D., Berger, T., & Iacob, I. (2014). Distributed manufacturing control with extended CNP interaction of intelligent products. Journal of Intelligent Manufacturing, 25(5), 1065–1075.CrossRef
Chen, T. (2009). A fuzzy-neural knowledge-based system for job completion time prediction and internal due date assignment in a wafer fabrication plant. International Journal of Systems Science, 40(8), 889–902.CrossRef
Chen, T. (2014). Strengthening the competitiveness and sustainability of a semiconductor manufacturer with cloud manufacturing. Sustainability, 6, 251–268.CrossRef
Chi, X., Pepper, M. P., & Spedding, T. A. (2004) A web-based virtual factory and simulator for industrial statistics. In: R. Ingalls, M. Rossetti, J. Smith & B. Peters (Eds.), Winter Simulation Conference (pp. 2103–2106). WSC.
Dekel, E., & Sahni, S. (1983). Parallel scheduling algorithms. Operations Research, 31(1), 24–49.CrossRef
Dong, B., Bai, Y., & Zhao, D. (2010). Service-oriented design resource application mode on the web. Journal of Computational Information Systems, 6(2), 439–446.
Duffie, N. A., & Prabhu, V. V. (1994). Real-time distributed scheduling of heterarchical manufacturing systems. Journal of Manufacturing Systems, 13(2), 94–107.CrossRef
Fan, Y., Zhao, D., Zhang, L., Huang, S., & Liu, B. (2004). Manufacturing grid: Needs, concept and architecture. Lecture Notes in Computer Sciences, 3032, 653–656.CrossRef
Fujimoto, R. M. (1987). Performance measurements of distributed simulation strategies. Fort Belvoir: Defense Technical Information Center.
Hsieh, F.-S., & Lin, J.-B. (2014). Context-aware workflow management for virtual enterprises based on coordination of agents. Journal of Intelligent Manufacturing, 25(3), 393–412.CrossRef
Jie, H. Z., Nee, A. Y. C., Fuh, Y. H., & Zhang, Y. F. (2003). A modified genetic algorithm for distributed scheduling problems. Journal of Intelligent Manufacturing, 14, 351–362.CrossRef
Li, B., Chai, X., Hou, B., Li, T., Zhang, Y. B., Yu, H. Y., et al. (2009). Networked modeling & simulation platform based on concept of cloud computing-cloud simulation platform. Journal of System Simulation, 21(17), 5292–5299.
Li, B. H., Chai, X., Zhang, L., Hou, B., Lin, T. Y., Yang, C., et al. (2012). New advances of the research on cloud simulation. In: J. -H. Kim, K. Lee, S. Tanaka, & S.-H. Park (Eds.), Advanced methods, techniques, and applications in modeling and simulation (pp. 144–163). Japan: Springer.
Li, B. H., Zhang, L., & Wang, S. L. (2010) Cloud manufacturing: A service-oriented new networked manufacturing model. Computer Integrated Manufacturing Systems, 16, 1–9.
Ramamritham, K., Stankovic, J. A., & Zhao, W. (1989). Distributed scheduling of tasks with deadlines and resource requirements. IEEE Transactions on Computers, 38(8), 1110–1123.CrossRef
Wu, Q., Zhu, Q., & Zhou, M. (2014). A correlation-driven optimal service selection approach for virtual enterprise establishment. Journal of Intelligent Manufacturing, 25(6), 1441–1453.CrossRef
Xu, X. (2012). From cloud computing to cloud manufacturing. Robotics and Computer-Integrated Manufacturing, 28, 75–86.CrossRef
Yang, Z., Gay, R., Miao, C. & Zhang, J.-B. (2005). Automating integration of manufacturing systems and services: A semantic Web services approach. In 31st annual conference of IEEE Industrial Electronics Society (pp. 2255–2260).
Zhang, Y., Wang, W., Liu, S., & Xie, G. (2014). Real-time shop-floor production performance analysis method for the Internet of manufacturing things. Advances in Mechanical Engineering, 2014, 1–10.
Zott, C. (2003). Dynamic capabilities and the emergence of intraindustry differential firm performance: Insights from a simulation study. Strategic Management Journal, 24(2), 97–125.CrossRef
Metadaten
Titel
Estimating the simulation workload for factory simulation as a cloud service
verfasst von
Toly Chen
Chi-Wei Lin
Publikationsdatum
21.03.2015
Verlag
Springer US
Erschienen in
Journal of Intelligent Manufacturing / Ausgabe 5/2017
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI
https://doi.org/10.1007/s10845-015-1068-y

Weitere Artikel der Ausgabe 5/2017

Journal of Intelligent Manufacturing 5/2017 Zur Ausgabe

OriginalPaper

Advanced manufacturing systems: socialization characteristics and trends

OriginalPaper

Fast GA-based project scheduling for computing resources allocation in a cloud manufacturing system

OriginalPaper

Research on services encapsulation and virtualization access model of machine for cloud manufacturing

OriginalPaper

A digital equipment identifier system

OriginalPaper

Fuzzy holons for intelligent multi-scale design in cloud-based design for configurations

OriginalPaper

A new cloud computing method for establishing asymmetric cycle time intervals in a wafer fabrication factory

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise