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Estimating the simulation workload for factory simulation as a cloud service

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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.

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Acknowledgments

This study was supported by the Ministry of Science and Technology, Taiwan.

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Correspondence to Chi-Wei Lin.

Appendix

Appendix

See Figs. 12 and 13.

Fig. 12
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The program code of NLP model I

Fig. 13
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The program code of NLP model II

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Chen, T., Lin, CW. Estimating the simulation workload for factory simulation as a cloud service. J Intell Manuf 28, 1139–1157 (2017). https://doi.org/10.1007/s10845-015-1068-y

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  • DOI: https://doi.org/10.1007/s10845-015-1068-y

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