A stochastic manpower planning model under varying class sizes

Chattopadhyay, Asis Kumar; Gupta, Arindam

doi:10.1007/s10479-007-0208-y

Cited by 22 publications

(9 citation statements)

References 7 publications

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“…The survival of employee in a particular grade is estimated to fulfil without any damage to the organization is considered as the following equation (1)…”

Section: Agoparaju N Vijayasankar Rvinothmentioning

confidence: 99%

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A Model Estimating the Goodness of Fit in an Organization through Three Parameter Generalized Rayleigh Distribution

Goparaju*,

Vijayasankar,

vinoth

2019

IJITEE

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Various researchers have been studied the use of Stochastic modeling in an organization with different grades of employee.This study intended to estimate the goodness of fit of three parameter generalized Rayleigh distribution in different grades of an organization. It focused on the employee stay each grade and expected time of an employee to leave the organization. The parameter values of this distribution have been estimated from the simulation work. This study concluded that the higher the grade, the length of stay by the employee increases.

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“…The survival of employee in a particular grade is estimated to fulfil without any damage to the organization is considered as the following equation (1)…”

Section: Agoparaju N Vijayasankar Rvinothmentioning

confidence: 99%

“…A. K and Gupta. A [1] developed a model based on varying class size and promotion in an organization depending on seniority base through stochastic manpower planning. The researchers concluded that the distribution might change from one organization to another depending on the situation, but the model procedure will remain the same.…”

Section: Introductionmentioning

confidence: 99%

A Model Estimating the Goodness of Fit in an Organization through Three Parameter Generalized Rayleigh Distribution

Goparaju*,

Vijayasankar,

vinoth

2019

IJITEE

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“…At present, many different stochastic manpower planning models have been established and discussed in the literature. For instance, Chattopadhyay and Gupta [2] developed a stochastic manpower planning model under the set up, where the survival rates and the number of workers at different ages are treated as random variables. Yan et al [18] discussed two long-term stochastic demand planning models for air cargo terminal manpower supply planning in long-term operations, where the labor demand is described as a random variable.…”

Section: Introductionmentioning

confidence: 99%

Deterministic Conversion of Uncertain Manpower Planning Optimization Problem

Zhu

Sun

et al. 2018

IEEE Trans. Fuzzy Syst.

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Manpower planning is a very important component of human resource management. However, there are many indeterminate factors that should be taken into consideration in manpower planning. For example, the decision of employees to quit the job is determined by their preference, which is beyond the control of human resource department. It can be realistically modeled as a random variable when the historical data of quitting rate is large enough. Otherwise, it can only be regarded as an uncertain variable when the historical data is inadequate. In this paper, we discuss a manpower planning optimization problem for a manufacturing company with hierarchical system, where the quitting rate of employees is modeled as an uncertain variable. First, we formulate a mathematical model for this uncertain manpower planning optimization problem, where the influence on the production outputs by employees is taken into consideration. Second, we present a deterministic conversion method to transform this uncertain manpower planning optimization problem into an equivalent deterministic discrete-time optimization problem. It is further converted into an equivalent linear programming model with an equality constraint and an inequality constraint. Finally, we use the real data from Singapore, Denmark and China to carry out a numerical simulation and make a comparison with the results obtained based on stochastic model to show the advantages of our method.

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“…However, for the practical application, the problem with time-variant boundaries and time-variant goals should be addressed. The conventional approach to the modeling of the hierarchical manpower system is to employ the methodology of Mehlman (1980), De Feyter (2007 and Chattopadhyay and Gupta (2007). However, in previous research in the field of manpower planning (Mehlman, 1980) it has been indicated that the bare numerical approaches give little insight into the structure of the gained solution.…”

Section: Introductionmentioning

confidence: 99%

Determination of recruitment and transition strategies

et al. 2011

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Purpose -This paper aims to describe the development and application of a manpower planning system for the Slovenian armed forces using a system approach, system dynamics (SD) and numerical optimization. Design/methodology/approach -The model of the hierarchical manpower system was developed by SD methodology and formulated in discrete time space. The problem of tracking the goal trajectories in the eight topmost ranks at the prescribed boundaries was solved by application of the quadratic performance index and finite automata (FA) which was used for classification of acceptable strategies. Genetic algorithms (GA) as well as pattern search were compared at the numeric optimization. Findings -Employing SD and a system approach increases the understanding of the system control. The definition of an optimum strategy, which would consider only target values for ranks within prescribed parameter boundaries, could provide an undesired oscillatory solution. Inclusion of rules by FA to determine acceptable strategies based on the time response of a strategy provided acceptable, nonoscillatory solutions. GA and pattern search were considered where pattern search was shown to be significantly more suitable for the task of control strategy determination. Practical implications -The developed system and methodology was applied by the Slovenian Armed Forces in the process of restructuring. Social implications -The developed approach permits a moderate transition to the new desired structure. Restructuring without a clear understanding of the system structure and dynamics might result in undesired social impacts such as strikes and riots. Originality/value -Provision of the systemic view of the hierarchical manpower system and application of FA to determine the proper control of a complex system.

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A stochastic manpower planning model under varying class sizes

Cited by 22 publications

References 7 publications

A Model Estimating the Goodness of Fit in an Organization through Three Parameter Generalized Rayleigh Distribution

A Model Estimating the Goodness of Fit in an Organization through Three Parameter Generalized Rayleigh Distribution

Deterministic Conversion of Uncertain Manpower Planning Optimization Problem

Determination of recruitment and transition strategies

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