Researcher at Faculty of Technical Sciences
Faculty of Technical Sciences, University of Novi Sad, Serbia
January 2012 – Present

Milovan works as a researcher on the project "Development of software for managing the installation and repair of braking systems for rail vehicles", the Ministry of Science, Republic of Serbia, no. 035 050 for the period 2011-2017th years.
Responsibilities:
In the phase of application software development data was collected and research was conducted on the process management software modeling.
After research and representation of the system model specification for management, implementation and testing of the system was made as well as training of the users in the company.

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Faculty of Technical Sciences, University of Novi Sad
PhD, Engineering/Industrial Management
2011 – 2017

The problem that is being addressed in this paper is to improve the services provided by company and achieve better communication among companies in the supply chain. Therefore, a qualitative assessment of the service has been required. This service is characterized by a group of parameters, which are often inaccurately estimated values as well as its importance for the evaluation system. This is often the result of assessor´s uncertainty, variability of conditions, etc.
Therefore, in the context of AM4SCM (Adaptive Model for Supply Chain Management) a mathematical model for evaluating the quality of services has been developed (FAM4QS - Fuzzy Aggregation Method for Quality Service (software)) which is based on the fuzzy arithmetic.
By selecting different values for the degrees of fuzzy power mean, which are used for evaluation of parameters or groups of parameters of the system and the service also, contribute to a better assessment and it is due to the varying nature of the parameters. This diversity implies more or less disjunctivity or conjunctivity of the form of selected aggregation functions (higher r disjunctivity form, less r conjunctivity form).
The observed model was simulated on 17 supply chains on the territory of the Republic of Serbia. Service quality assessment is carried out on the basis of data from the user requirements - participants of supply chains binding the so-called fuzzy aggregation function.

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Within AM4SCM, it was defined a mathematical model for evaluating the quality of the service provided which solves the problem of pre-existing models with imprecise estimates of parameters. Evaluations of the team of experts have been used while assessing weight coefficients and other parameters relevant to the system. (Progression) arithmetic mean - mean estimates of experts is usually taken for the assessment of weight element in six-step method for improving the quality of service which was upgraded.
If the phenomenon of observed evaluation has a normal distribution, then it is good to take the mean of such assessment parameter, but if not then it is often better to take different assessment. Distribution of the assessment of the team of experts was regarded as fuzzy number and for easy calculation unsymmetrical triangular fuzzy number. Thus, it provided the opportunity to get fuzzy number instead of a number of such estimates of the entire system, i.e. interval of values with different values of the membership function. Defuzzification provided better value than the standard procedure. Due to avoid stiff conclusion, i.e. the answer for the system quality assessment is a number, the response interval value is taken which is actually alpha-section stage as the number of output where alpha desired grade of membership is taken.
Fuzzy aggregation environments used for assessing the quality of supply chains were degree environments where we have taken different values for degrees which was conditioned by different nature of parameters. Due to these differences it follows more or less disjunctivity or conjunctivity of the form of selected aggregation functions. By applying our method on 17 selected homogeneous supply chains, the analysis of the best and worst chain provided the conclusion that it is necessary to analyze the requirements and increase the flexibility of the model, improve communication between business users and developers, raise the quality of interpersonal relationships, exercise control of absenteeism, establish direct connection between end users with service providers and increase the speed and level of system update.
Working with large systems facilitates and accelerates finding new methods such as working with neural networks in combination with FAM4QS.
Likewise the traditional method, this method can also use software packages so the user can automatically receive, on the basis of given criteria, assessment of the quality of service in order to facilitate further decision-making. The software that we developed is written in C # and allows commercial use of FAM4QS. It will be further developed, i.e. for large systems, where FAM4QS will be combined with neural networks.



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Faculty of Technical Sciences, University of Novi Sad
Master of Science (MSc), Investment Management
2010 – 2013

Modeling user requests management system for IT support using ITIL, independently of tools being used.

In this paper, possibilities and requirements of the clients were analyzed using business techniques of the Service Desk. An example was given how modeling of the system could be done independently of the tools being used. In this case, user requirements and answer to their solutions, using different tools which meet standard of the ITIL v3 methodology.

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Faculty of Technical Sciences, University of Novi Sad
Master of Science (MSc), Computer Science
2010 – 2011

Use of methods for exploration and bussiness data analysis of turist agency

In this work were carried out exploration and data analysis for Modena Travel turist agency using Data Mining classification and clustering. Recomendations for future work of the turist agency were given.

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Faculty of Technical Sciences, University of Novi Sad
Bachelor of Science (BSc), Computer Science
2006 – 2010

The implementation of the RTGS system within the project payment

This paper presents a solution to the RTGS payment system. The implementation used Java programming language, XML standards, Web services, cryptographic technology and digital signature technology. For the purposes of Storage of data was used to exist and MS-SQL databases.

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Dear, for a more detailed review:

https://MilovanTomasevic.com
https://www.linkedin.com/in/PhDMilovanTomasevic