Consideration of optimal control of strictily hierarchical manpower system
Автор: Kraba A., Stanovov V.V., Nidari A., Rozman ., Kofja D.
Журнал: Сибирский аэрокосмический журнал @vestnik-sibsau
Рубрика: Математика, механика, информатика
Статья в выпуске: 1 т.17, 2016 года.
Бесплатный доступ
The paper describes the problem of finding an optimal control strategy for the manpower control system. The equilibrium condition for the strict hierarchical manpower system control is stated which enables development of optimal strategy algorithm for one state example. Based on the equilibrium condition, the novel approach to the determination of optimal control in such system is described. Optimal tracking algorithm is described by example, which is implemented in MathematicaTM. The tracking algorithm is able to find the optimal values of the transition coefficients, so that the system achieves the desired value in one step. For the case when the desired value is not achievable in one step due to the boundary conditions, additional two algorithms are considered which bring state values to the desired ones in several steps. Two variants of the algorithm are considered, when the desired value is lower or greater than the initial value.
Manpower system, equilibrium condition
Короткий адрес: https://sciup.org/148177557
IDR: 148177557
Список литературы Consideration of optimal control of strictily hierarchical manpower system
- Škraba A., Kljajić M., & Kljajić, M. B. The role of information feedback in the management group decision-making process applying system dynamics models. Group Decision and Negotiation, 2007, No. 16(1), P. 77-95, DOI: DOI: 10.1007/s10726-006-9035-9
- Borštnar M. K., Kljajić M., Škraba A., Kofjač D., Rajkovič V. The relevance of facilitation in group decision making supported by a simulation model. System Dynamics Review, 2011, No. 27(3), P. 270-293, DOI: DOI: 10.1002/sdr.460
- Cabanillas C., Resinas M., del-Río-Ortega A., Cortés A. R. Specification and automated design-time analysis of the business process human resource perspective. Information Systems, 2015, No. 52, P. 55-82, DOI: DOI: 10.1016/j.is.2015.03.002
- Lin D., Yue T., Ganggang N., Yongqing X., Xin S., Changrui R., Zongying Z. Scheduling Workforce for Retail Stores with Employee Preferences. In 2015 IEEE International Conference on Service Operations And
- Logistics, And Informatics (SOLI), (15-17 November 2015). 2015, P. 37-42. Piscataway, NJ, USA: IEEE.
- Gupta A., Ghosal A. A manpower planning model based on length of service under varying class sizes. OPSEARCH, 2014, No. 51(4), P. 615-623, DOI: DOI: 10.1007/s12597-013-0162-1
- Babaei M., Zahra G., Soudabeh A. Challenges of Enterprise Resource Planning implementation in Iran large organizations. Information Systems, 2015, No. 54, P. 15-27, DOI: DOI: 10.1016/j.is.2015.05.003
- Škraba A., Kljajić M., Papler P., Kofjač D., Obed M. Determination of recruitment and transition strategies. Kybernetes. 2011, Vol. 40, No. 9/10, P. 1503-1522.
- Škraba A., Kofjač D., Žnidaršič A., Rozman Č., Maletič M. Application of finite automata with genetic algorithms in JavaScript for determination of manpower system control. In: 3rd International Workshop on Mathematical Models and their Applications, November 19-21, 2014, Krasnoyarsk, IWMMA'2014.
- Kljajić M., Bernik I., Škraba A., Simulation Approach to Decision Assessment in Enterprises, Simulation, (Simulation Councils Inc.) 2000, P. 199-210.
- Semenkin E., Semenkina M. Stochastic Models and Optimization Algorithms for Decision Support in Spacecraft Control Systems Preliminary Design.Informatics in Control, Automation and Robotics, Lecture Notes in Electrical Engineering 283, 2014. P. 51-65.
- Akhmedova S., Semenkin E. Co-operation of biology related algorithms, 2013 IEEE Congress on Evolutionary Computation. 2013, P. 2207-2214.
- Škraba A., Kofjač D., Žnidaršič A., Maletič M., Rozman Č., Semenkin E. S., Semenkina M. E., Stanovov V. V. Application of Self-Configuring genetic algorithm for human resource management. Journal of Siberian Federal University -Mathematics and Physics. 2015, No. 8(1), P. 94-103.
- Škraba A., Kofjač D., Žnidaršič A., Rozman Č., Maletič M. Application of finite automata with genetic algorithms in JavaScript for determination of manpower system control. Vestnik SibGAU. 2015, Vol. 16, No. 1, P. 153-158 (In Russ.).
- Mehlman A. An approach to optimal recruitment and transition strategies for manpower systems using dynamic programming, Journal of Operational Research Society, 1980, Vol. 31, No. 11, P. 1009-1015.
- Reeves G. R., Reid R. C. A. military reserve manpower planning model. Computers & Operations Research, 1999, Vol. 26, P. 1231-1242.
