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  • 标题:Modeling Operational Risk Using LinearAlgebra and Monte Carlo Simulation:Enabling Innovative Service Conceptswith Simulated Throughput Computations
  • 本地全文:下载
  • 作者:Larissa Laumann ; Daniel Jaroszewski ; Benedikt Sturm
  • 期刊名称:Journal of Industrial Engineering and Management Science
  • 电子版ISSN:2446-1822
  • 出版年度:2018
  • 卷号:2018
  • 期号:1
  • 页码:15-38
  • DOI:10.13052/jiems2446-1822.2018.002
  • 语种:English
  • 出版社:River Publishers
  • 摘要:Industrial maintenance as a service provided by the plant manufacturer is receiving increasing attention throughout the community of plant operators, notably in the cement and mining industry. The main reason is the fact that manufacturers have the deepest knowledge of their own plants. Furthermore, plant operators do not want to worry about maintenance issues and are rather willing to outsource this task to a service provider. The question then is, at what price the operator and the manufacturer are willing to close a service contract. The service provider must make sure that the price covers his expected cost including an eventual insurance fee against extreme damage and that the risk of outliers can be managed. The operator, in turn, must make sure that the price is covered by his income leaving an appropriate profit. Furthermore, the maintenance service provider can ask an insurance company for protection against very large damages. And finally, the investor, granting a loan to the operator, is interested in his own risk.
  • 关键词:Reliability Engineering; Engineering Applications of Graph Theory; Monte Carlo Simulation; Matrix Inversion
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