NDLI: A SysML-based simulation model aggregation framework for seedling propagation system

Content Provider	IEEE Xplore Digital Library
Author	Chao Meng Sojung Kim Young-Jun Son Kubota, C.
Copyright Year	2013
Description	Author affiliation: Sch. of Plant Sci., Univ. of Arizona, Tucson, AZ, USA (Kubota, C.) \|\| Syst. & Ind. Eng., Univ. of Arizona, Tucson, AZ, USA (Chao Meng; Sojung Kim; Young-Jun Son)
Abstract	This paper proposes a Systems Modeling Language (SysML)-based simulation model aggregation framework to develop aggregated simulation models with high accuracy. The framework consists of three major steps: 1) system conceptual modeling, 2) simulation modeling, and 3) additive regression model-based parameter estimation. SysML is first used to construct the system conceptual model for a generic seedling propagation system in terms of system structure and activities in a hierarchical manner (i.e. low, medium and high levels). Simulation models conforming to the conceptual model are then constructed in Arena. An additive regression model-based approach is proposed to estimate parameters for the aggregated simulation model. The proposed framework is demonstrated via one of the largest grafted seedling propagation systems in North America. The results reveal that 1) the proposed framework allows us to construct accurate but computationally affordable simulation models for seedling propagation system, and 2) model aggregation increases the randomness of simulation outputs.
Starting Page	2180
Ending Page	2191
File Size	777619
Page Count	12
File Format	PDF
e-ISBN	9781479939503
DOI	10.1109/WSC.2013.6721595
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Unified modeling language Sorting Load modeling Resource management Additives Production
Content Type	Text
Resource Type	Article

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