Background and Purpose: The restructuring of human resources in an organization is addressed in this paper, because human resource planning is a crucial process in every organization. Here, a strict hierarchical structure of the organization is of concern here, for which a change in a particular class of the structure influences classes that follow it. Furthermore, a quick adaptation of the structure to the desired state is required, where oscillations in transitions between classes are not desired, because they slow down the process of adaptation. Therefore, optimization of such a structure is highly complex, and heuristic methods are needed to approach such problems to address them properly.
Design/Methodology/Approach: The hierarchical human resources structure is modeled according to the principles of System Dynamics. Optimization of the structure is performed with an algorithm that combines stochastic local search and genetic algorithms.
Results: The developed algorithm was tested on three scenarios; each scenario exhibits a different dynamic in achieving the desired state of the human resource structure. The results show that the developed algorithm has successfully optimized the model parameters to achieve the desired structure of human resources quickly.
Conclusion: We have presented the mathematical model and optimization algorithm to tackle the restructuring of human resources for strict hierarchical organizations. With the developed algorithm, we have successfully achieved the desired organizational structure in all three cases, without the undesired oscillations in the transitions between classes and in the shortest possible time.
Babaei, M., Zahra, G., & Soudabeh, A. (2015). Challenges of Enterprise Resource Planning implementation in Iran large organizations. Information Systems, 54, 15-27, http://dx.doi.org/10.1016/j.is.2015.05.003
Borštnar Kljajić, M., Kljajić, M., Škraba, A., Kofjač, D., & Rajkovič, V. (2011). The relevance of facilitation in group decision making supported by a simulation model. System Dynamics Review, 27(3), 270-293, http://dx.doi.org/10.1002/sdr.460
Cabanillas, C., Resinas, M., del-Río-Ortega, A., & Cortés, A.R. (2015). Specification and automated design-time analysis of the business process human resource perspective. Information Systems, 52, 55-82, http://dx.doi.org/10.1016/j.is.2015.03.002
Gupta, A., & Ghosal, A. (2014). A manpower planning model based on length of service under varying class sizes. OPSEARCH, 51(4), 615-623, http://dx.doi.org/10.1007/s12597-013-0162-1
Kljajić M., Bernik I., & Škraba A. (2000). Simulation approach to decision assessment in enterprises. Simulation, 75 (4), 199-210, http://dx.doi.org/10.1177/003754970007500402
Kofjač, D., Bavec, B., & Škraba, A. (2015). Web application for hierarchical organizational structure optimization - human resource management case study. Organizacija, 48(3), 177-187, http://dx.doi.org/10.1515/orga-2015-0012
Lin, D., Yue, T., Ganggang, N., Yongqing, X., Xin, S., Changrui, R., & Zongying, Z. (2015). 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 (pp. 37-42). Piscataway, NJ, USA: IEEE.
Majd, A. M. K., Mahootchi, M., & Zakery A. (2015). A reinforcement learning methodology for a human resource planning problem considering knowledge-based promotion. Simulation Modelling Practice and Theory, in press, http://dx.doi.org/10.1016/j.simpat.2015.07.004
Rozman, Č., Pažek, K., Kljajić, M., Bavec, M., Turk, J., Bavec, F., Kofjač, D., & Škraba, A. (2013). The dynamic simulation of organic farming development scenarios-A case study in Slovenia. Computers and Electronics in Agriculture, 96, 163-172, http://dx.doi.org/10.1016/j.compag.2013.05.005
Škraba, A, Kljajić, M-, Papler, P., Kofjač, D., & Obed, M. (2011). Determination of recruitment and transition strategies. Kybernetes, 40(9/10), 1503-1522, http://dx.doi.org/10.1108/03684921111169512
Škraba A., Kljajić M., & Kljajić, M.B. (2007). The role of information feedback in the management group decision-making process applying system dynamics models. Group Decision and Negotiation, 16(1), 77-95, http://dx.doi.org/10.1007/s10726-006-9035-9
Škraba A., Kljajić M., & Leskovar R. (2003). Group exploration of system dynamics models - is there a place for a feedback loop in the decision process? System Dynamics Review, 19(3), 243-263, http://dx.doi.org/10.1002/sdr.274
Škraba, A., Kofjač, D., Žnidaršič, A., Maletič, M., Rozman, Č., Semenkin, E.S., Semenkina, M. E., & Stanovov, V. V. (2015). Application of Self-Configuring genetic algorithm for human resource management. Journal of Siberian Federal University - Mathematics and Physics. 8(1), 94-103.
Škraba, A., Stanovov, V. V., Žnidaršič, A., Rozman, Č., & Kofjač, D. (2015). Consideration of optimal control of strictly hierarchical manpower system. In The 4th International Workshop on Mathematical Models and their Applications IWMMA 2015, 24-26 November 2015 (p. 9), Krasnoyarsk, Russia: Siberian State Aerospace University.