
Systems Reliability Engineering
Modeling and Performance Improvement
- 217 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Systems Reliability Engineering
Modeling and Performance Improvement
About this book
Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.
De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments.
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Information
Table of contents
- Title Page
- Copyright
- Contents
- About the editors
- 1âExact reliability evaluation of multistate flow networks
- 2âBehavior exploration of a rice manufacturing plant under fuzzy environment
- 3âOn the bivariate modeling of reliability systems: some advances
- 4âReliability and redundancy in performance of equipment
- 5âStochastic behavior of a system with degradation, fault detection, and replacement policy
- 6âReliability evaluation with variation in demand
- 7âReliability analysis and cost optimization in manufacturing systems
- 8âPerformance analysis of a paper mill plant by considering reworking/degradation of its components
- 9âDesign and evaluation of coherent redundant system reliability
- 10âMathematical modeling of a delayed innovation diffusion model with media coverage in adoption of an innovation
- 11âReliability and signature assessment of shuffle exchange networks using universal generating function
- Index
- De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences