## Abstract This article examines a continuous time Markov chain model for a plantationβnursery system in which diseased plantation trees are replaced at a daily rate Ξ» by nursery seedlings. There is a random infection rate Ξ± caused by insects, and the disease is also spread directly between the __
A continuous time markov-renewal replacement model for manpower systems
β Scribed by Gerontidis, Ioannis I.
- Publisher
- John Wiley and Sons
- Year
- 1993
- Tongue
- English
- Weight
- 1023 KB
- Volume
- 9
- Category
- Article
- ISSN
- 8755-0024
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β¦ Synopsis
A continuous time Markov-renewal model is presented that generalizes the classical Young and Almond model for manpower systems with given size. The construction is based on the associated Markovrenewal replacement process and exploits the properties of the embedded replacement chain. The joint cumulant generating function of the grade sizes is derived and an asymptotic analysis provides conditions for these to converge in distribution to a multinominal random vector exponentially fast independently of the initial distribution, both for aperiodic and periodic embedded replacement chains. A regenerative approach to the wastage process is outlined and two numerical examples from the literature on manpower planning illustrate the theory.
KEY WORDS Convergence in distribution Exponential ergodicity
Generalized phase-type renewal process Quasi-periodic imbedded chain Rate of convergence Regeneration Stochastic population models Wastage process
π SIMILAR VOLUMES
The Markov analysis of reliability models frequently involves a partitioning of the state space into two or more subsets, each corresponding to a given degree of functionality of the system. A common partitioning is G U B U { W ) , where G (good) and B (bad) stand, respectively, for fully and partia