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Titlebook: Extended Warranties, Maintenance Service and Lease Contracts; Modeling and Analysi D.N.Prabhakar Murthy,Nat Jack Book 2014 Springer-Verlag

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發(fā)表于 2025-3-23 10:08:48 | 只看該作者
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發(fā)表于 2025-3-23 16:05:12 | 只看該作者
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發(fā)表于 2025-3-23 22:19:40 | 只看該作者
https://doi.org/10.1007/978-3-662-05052-1for this unreliability. Any decision-making with respect to maintenance requires a proper understanding of the degradation processes over time and the actions of maintenance from a system life cycle perspective.
15#
發(fā)表于 2025-3-24 02:21:33 | 只看該作者
Around the World in Modeling Times,ance (for example, the effect of different PM actions on system failures) and (ii) decide on the optimal values of decision variables to achieve some specified objectives (for example, optimum PM to minimise total maintenance costs).
16#
發(fā)表于 2025-3-24 06:55:33 | 只看該作者
Importance Measures for Networks,s a dynamic problem involves multiple decisions over time. Decision problems may also be either . or ..In a deterministic problem, uncertainty is assumed to be insignificant and is ignored, whereas in a stochastic problem, the effect of uncertainty is included in the modelling, and this is done through the presence of random variables.
17#
發(fā)表于 2025-3-24 11:16:11 | 只看該作者
Import models: issues and problems,sh flows taking into account the tax issues, discounting, etc. The second type consists of GT models involving the lessor(s) and the lessee(s) and possibly other parties (such as retailers, external service agents).
18#
發(fā)表于 2025-3-24 18:30:01 | 只看該作者
System Degradation and Maintenancefor this unreliability. Any decision-making with respect to maintenance requires a proper understanding of the degradation processes over time and the actions of maintenance from a system life cycle perspective.
19#
發(fā)表于 2025-3-24 20:19:34 | 只看該作者
20#
發(fā)表于 2025-3-25 03:01:37 | 只看該作者
Introduction to Stochastic Optimisation and Game Theorys a dynamic problem involves multiple decisions over time. Decision problems may also be either . or ..In a deterministic problem, uncertainty is assumed to be insignificant and is ignored, whereas in a stochastic problem, the effect of uncertainty is included in the modelling, and this is done through the presence of random variables.
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