A fuzzy model for organization structure design with human resource allocation

  • Dragan Pamucar University of defence in Belgrade, Military academy, Department of logistics, Belgrade, Serbia
  • Nikola Knežević University of Belgrade, Faculty of Transport and Traffic Engineering
  • Dragana Macura University of Belgrade, Faculty of Transport and Traffic Engineering
  • Boban Đorović University of Defense in Belgrade, Military Academy, Department of logistics, Belgrade, Serbia

Abstract

Research Question: The paper explores the problem of defining the number of required employees and their skills, as well as optimizing the work time. Motivation: Motivation for this paper arises from the fact that an organizational structure of business system has to be conceived and proportioned so as to justify the main company jobs and goals. Almost every job set for the management must be performed properly and reliably in changeable environmental conditions. In order to maintain the efficiency of complex business systems with dynamic and stochastic changeable and unchangeable variables, it is essential that the organizational structure be flexible and constantly adjusted. Idea: The idea of the paper was to develop a model for human resource allocation (HRA) in fuzzy environment. Data: The model is tested in realistic industrial environment - the example of the logistics administrative bodies in the Petroleum Industry of Serbia. Tools: To solve the problem, the following approaches are used: Fuzzy logic, Neural network and Simulated annealing. The model for HRA is based on an adaptive neuro-fuzzy inference system (ANFIS) and fuzzy mathematical model (FMM) for treating uncertainty. ANFIS-FMM model enables the human resource strategy development based on the optimisation of the employees’ work time. In this ANFIS-FMM model the input variables are described using fuzzy sets represented by Gaussian functions. Using expert reasoning, an unique knowledge base is formed which enables the human resource strategy development based on the optimisation of the employees’ work time. Findings: Based on authors’ knowledge there is a lack of the fuzzy logic applications, adaptive neuro-fuzzy models, linear and dynamic programming, as well as heuristic and metaheuristic models related to HRA. In most of the papers, the classical methods of strategic management have been used for HRA. Contribution: In this paper the model for HRA is developed based on adaptive neuro-fuzzy technique application and FMM. The model has four main advantages over other HRA methods: the system possesses adaptability, the model is efficient in conditions of uncertainty, the neuro-fuzzy based HRA model allows dynamic decision making in HRA management through the implementation of a computer-based system, it can be IT-supported tool.

Author Biographies

Dragan Pamucar, University of defence in Belgrade, Military academy, Department of logistics, Belgrade, Serbia

Dragan Pamucar is an assistant professor at the University of Defence in Belgrade, Department of Logistics, Serbia. Dr. Pamucar received a PhD in Applied Mathematics with specialization of Multi-criteria modelling and soft computing techniques in logistics from the University of Defence in Belgrade, Serbia in 2013 and an MSc degree from the Faculty of Transport and Traffic Engineering in Belgrade in 2009. His research interests lie in the fields of multi-criteria decision making problems, fuzzy logic, intuitionistic fuzzy set theory, rough and neutrosophic theory. Dr. Pamucar has authored/co-authored over 50 papers published in refereed international journals including Experts Systems with Applications, Computational intelligence, Applied soft computing, Sustainability, Symmetry, Water, Asia-Pacific Journal of Operational Research, Operational Research, Journal of Intelligent and Fuzzy Systems, Land Use Policy, Environmental impact assessment review, Neural computing and applications, Economic computation and economic cybernetics studies and research and so on, and many more.

Nikola Knežević, University of Belgrade, Faculty of Transport and Traffic Engineering

Nikola Knežević, PhD, is an assistant professor at the Faculty of Transport and Traffic Engineering, University of Belgrade, Serbia. His area of academic interests includes: project management, organizational design, performance management and application of quantitative methods in management. He is the author and co-author of one book and over 40 papers published in scientific journals and at scientific conferences. He was a reviewer of one book (monograph). In his previous career, he was engaged by the Government of the Republic of Serbia in the Development Strategy of postal services, and by the Government of Montenegro in the Development Strategy of postal traffic.

Dragana Macura, University of Belgrade, Faculty of Transport and Traffic Engineering

Dragana Macura is an associate professor at the University of Belgrade, Faculty of Transport and Traffic Engineering, Department for Railway Engineering. Her main fields of interest are: railway transport, transport project management, transport economics, railway marketing, and application of operational research methods in transport industry. Prof. Dr. Macura is the author and co-author of two monographs, and over 40 published scientific papers.

Boban Đorović, University of Defense in Belgrade, Military Academy, Department of logistics, Belgrade, Serbia

Boban D. Đorovic was born in Kragujevac in 1969. He received his BS, MS and PhD degrees from the Technical Military Academy in Belgrade. His main research interests include: Organizational design, Organization in Transport, Operations management, Multicriteria decisions, etc. He is a full-time professor at the Military Academy in Belgrade, teaching Organization design and Operations Research in Traffic. Prof. Dr. Đorović has published papers in scientific journals such as Yugoslav Journal of Operational Research, Experts Systems with Applications, Economic computation and economic cybernetics studies and research and many more. Prof. dr Đorović is also the author of several professional books, in the area of Management and Organization Science.

Published
2019-03-19
How to Cite
Pamucar, D., Knežević, N., Macura, D., & Đorović, B. (2019). A fuzzy model for organization structure design with human resource allocation. Management:Journal Of Sustainable Business And Management Solutions In Emerging Economies, . doi:10.7595/management.fon.2019.0005
Section
Articles