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Authors: Andrej Škraba 1 ; Eugene Semenkin 2 ; Davorin Kofjac 1 ; Maria Semenkina 2 ; Anja Znidaršic 1 ; Matjaž Maletic 1 ; Shakhnaz Akhmedova 2 ; Crtomir Rozman 3 and Vladimir Stanovov 2

Affiliations: 1 University of Maribor, Slovenia ; 2 Siberian State Aerospace University, Russian Federation ; 3 Faculty of Agriculture and Life Sciences and University of Maribor, Slovenia

Keyword(s): Manpower, Supply Chain, Optimization, System Dynamics, Genetic Algorithms, Optimal Control.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Evolutionary Computation and Control ; Facilities Planning and Management ; Health Engineering and Technology Applications ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Knowledge-Based Systems ; Resources and Knowledge Management in Industry ; Supply Chain and Logistics Engineering ; Symbolic Systems

Abstract: This paper addresses the problem of the hierarchical manpower system control in the restructuring process. The restructuring case study is described where eight topmost ranks are considered. The desired and actual structure of the system is given by the actual numbers of men in a particular rank. The system was modelled in the dicrete state space with state elements and flows representing the recruitment, wastages and retirements. The key issues were identified in the process as the stating of the criteria function, which are time variant boundaries on the parameter values, the chain stucture of the system and the tendency for the system to oscilate at given initial conditions. The oscillatory case is presented and the dynamic programming approach was considered in the optimization as unsuitable, examining the oscillations. The boundary space and optimal solution space were considered by indicating the small area where the solution could be optimal. The augmented finite automaton was defined which was used in the optimization with the adaptive genetic algorithm. The developed optimization method enabled us to successfully determine proper restructuring strategy for the defined manpower system. (More)


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Paper citation in several formats:
Škraba, A.; Semenkin, E.; Kofjac, D.; Semenkina, M.; Znidaršic, A.; Maletic, M.; Akhmedova, S.; Rozman, C. and Stanovov, V. (2015). Modelling and Optimization of Strictly Hierarchical Manpower System. In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-122-9; ISSN 2184-2809, pages 215-222. DOI: 10.5220/0005546002150222

author={Andrej Škraba. and Eugene Semenkin. and Davorin Kofjac. and Maria Semenkina. and Anja Znidaršic. and Matjaž Maletic. and Shakhnaz Akhmedova. and Crtomir Rozman. and Vladimir Stanovov.},
title={Modelling and Optimization of Strictly Hierarchical Manpower System},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},


JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Modelling and Optimization of Strictly Hierarchical Manpower System
SN - 978-989-758-122-9
IS - 2184-2809
AU - Škraba, A.
AU - Semenkin, E.
AU - Kofjac, D.
AU - Semenkina, M.
AU - Znidaršic, A.
AU - Maletic, M.
AU - Akhmedova, S.
AU - Rozman, C.
AU - Stanovov, V.
PY - 2015
SP - 215
EP - 222
DO - 10.5220/0005546002150222