Estimating the simulation workload for factory simulation as a cloud service

Tin-Chih Chen, Chi Wei Lin*

*Corresponding author for this work

Research output: Contribution to journalArticle

7 Scopus citations

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.

Original languageEnglish
Pages (from-to)1139-1157
Number of pages19
JournalJournal of Intelligent Manufacturing
Volume28
Issue number5
DOIs
StatePublished - 1 Jun 2017

Keywords

  • Cloud computing
  • Cloud manufacturing
  • Collaborative
  • Estimation
  • Fuzzy
  • Simulation
  • Workload

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