Journal Article•
Sequence of threshold in manpower planning through stochastic models
TL;DR: A stochastic model is developed to obtain the expected time using Modified Weibull Distribution for reaching threshold level using simulation results to illustrate the proposed model.
Abstract: We propose a stochastic model to study the damage process acting on the organization that is nonlinear. So, any statistical model of a complex phenomenon not only need to be an approximation of real world but also has to be addressed to a specific target, to respond a precise question about the phenomenon. The Expected time to reach the threshold in an organization is a vital event in manpower planning. In this paper, statistical model developed to obtain the expected time using Modified Weibull Distribution for reaching threshold level. The simulation results were studied to illustrate the proposed model.
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01 Jan 2009
TL;DR: In this article, a modified Weibull distribution is proposed for analyzing lifetime data. And the maximum likelihood estimates of its unknown parameters are obtained, and a real data set is analyzed and it observed that the present distribution can provide a better fit than some other known distributions.
Abstract: The exponential, Rayleigh, linear failure rate and Weibull distributions are the most commonly used distributions for analyzing lifetime data. These distributions have several desirable properties and nice physical interpretations. This paper introduces a new distribution named modified Weibull distribution. This distribution generalizes the following distributions: (1) exponential, (2) Rayleigh, (3) linear failure rate, and (4) Weibull. The properties of the modified Weibull distribution are discussed. The maximum likelihood estimates of its unknown parameters are obtained. A real data set is analyzed and it observed that the present distribution can provide a better fit than some other known distributions. M.S.C. 2000: 46N30, 47N30, 65C60.
110 citations
TL;DR: In this article, a machine is exposed to a cumulative damage process, where the damages are caused by shocks whose interarrival times are constantly correlated and exponentially distributed, and the distribution of the exchangeable random variables, the life time distribution, its mean and variance are calculated.
Abstract: A machine is exposed to a cumulative damage process. The damages are caused by shocks whose interarrival times are constantly correlated and exponentially distributed. Using the distribution of the exchangeable random variables, the life time distribution, its mean and variance are calculated.
9 citations
"Sequence of threshold in manpower p..." refers background in this paper
...One can see for more detail in [1, 2] about the expected time to cross the threshold level of the organization....
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