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Abstract
This paper focuses on the analysis of agricultural and engineering processes using simulation decomposition (SD). SD is a technique that utilizes Monte Carlo simulations and distribution decomposition to visually evaluate the source and the outcome of different portions of data. Here, SD is applied to three distinct processes: a model problem, a nondestructive evaluation testing system, and an agricultural food-water energy system. The results demonstrate successful implementations of SD for the different systems, and the illustrate the potential of SD to support new understanding of cause and effect relationships in complex systems.
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Authors (4)
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Yen-Chen Liu
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Leifur Leifsson
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Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Liu Y., Leifsson L., Pietrenko-Dąbrowska A., Kozieł S.: Analysis of Agricultural and Engineering Systems using Simulation Decomposition// / : , 2022,
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-031-08757-8_36
- Sources of funding:
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- Free publication
- Verified by:
- Gdańsk University of Technology
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