Prof. Dr. Amel Kosovac

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Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 May 2020

Book Chapter

A Review of Enabling Technologies and Solutions for IoT Based Smart Warehouse Monitoring System

AČ

Alem Čolaković

SČ

Samir Čaušević

Amel Kosovac

Ermin Muharemovic

25 June 2022 in Electronics

Journal Article

Model of Hybrid Electric Vehicle with Two Energy Sources

Eleonora Brtka

Gordana Jotanovic

Aleksandar Stjepanovic

Goran Jauševac

Amel Kosovac

Miroslav Kostadinovic

The paper proposes a Hybrid Electric Vehicle (HEV) design based on the installation of a fuel cell (FC) module in the existing Daewoo Tico electric vehicle to increase its range in urban areas. Installing an FC module supplied by a 2 kg hydrogen tank would not significantly increase the mass of the electric vehicle, and the charging time of the hydrogen tank is lower than the battery charging time. For design analysis, a model was created in the MATLAB/Simulink software package. The model simulates vehicle range at different HEV speeds for Absorbent Glass Mat (AGM) and Proton Exchange Membrane Fuel Cell (PEMFC) power sources. The greatest anticipated benefit derived from the model analysis relates to velocities ranging from 20 km/h to 30 km/h, although the optimal HEV velocity in an urban area is in the range of 30 km/h to 40 km/h. The results indicate that this conversion of Electric Vehicle (EV) to HEV would bring a benefit of 87.4% in terms of vehicle range in urban areas. Therefore, the result of the conversion in this case is a vehicle with sub-optimal characteristics, which are nevertheless very close to optimal.

13 March 2025 in Promet - Traffic&Transportation

Journal Article

Machine Learning Application for Improving Customer and Postal Logistics Operator Satisfaction in Urban Areas – A Review

Machine learning (ML) is a crucial component of artificial intelligence that has recently attracted attention for its application in logistics. ML algorithms are used on large datasets. They create logic correlations among given data and provide predictions of specific values. This research paper aims to conduct a systematic literature review to showcase the potential applications of machine learning in urban logistics systems, specifically focusing on enhancing satisfaction for postal logistics operators and their customers. The authors used various research publication databases in this context (Web of Science, Scopus, Google Scholar etc). The analysis of different models provides insights into diverse aspects, such as predicting product prices and types of cargo, evaluating user satisfaction, forecasting user departures, assessing optimal geographical locations for implementing postal centres, predicting purchase times before online orders, estimating delivery times in the last phase of the logistics chain and more. The significance of this research is highlighted through the identification of shortcomings in existing literature, offering guidelines for future research in developing new machine learning model for optimal operator selection. This model aims to achieve improvements in both customer and operator satisfaction simultaneously.

1 January 2021 in Journal of Applied Engineering Science

Journal Article

Pickup and delivery costs: A proposed outsourcing model based on the number of stops

Amel Kosovac

Ermin Muharemovic

The active introduction and modern technologies application in the transport market greatly affect all transport branches and the ways of their business. Availability and mass usage of the internet and Web services create a new ambiance of trade through online sales and e-commerce. The increase in internet sales has a direct effect on the business of courier companies. The number of shipments in the B2C (Business-to-Consumer) segment is growing and putting an increasing pressure on costs for companies that perform pickup and delivery. Companies are trying to adapt their business to the new challenges and conditions that prevail in the transport market through different cost management models. One way to manage costs is to outsource costs. This paper proposes a model cost calculation in outsourcing services for pickup and delivery shipments based on the number of stops.

28 September 2020

Conference Paper

Determining the location of postal centers in B&H using machine learning clustering method and GIS

30 October 2021 in Science, Engineering and Technology

Journal Article

Bosnia and Herzegovina market research on the use of autonomous vehicles and drones in postal traffic

Amel Kosovac

Ermin Muharemovic

AČ

Alem Čolaković

Mirza Lakača

EŠ

Edvin Šimić

New technologies primarily affect the lives of all people, their habits, needs, desires, but also significantly affect the demands placed on various business sectors. Discussions on the increasingly rapid development of technical-technological solutions that can be applied in the postal sector and logistics have a long history. New technologies in all areas bring a constant change in the relationship between companies and their customers, which significantly affect the quality of work and activities. In the years to come, it will be an increasing challenge for postal operators around the world, as well as for other companies, to achieve substantive communication and understanding of their customers through the application of innovative technologies. Understanding and learning about customer issues is key to offering them services that, with their precise targeting of stakeholders, quality, visibility, efficiency, and, perhaps most importantly, flexibility, will be able to meet needs that change so quickly over time. This will be possible with new technologies and innovative solutions. The paper presents a market research on the potential use of autonomous vehicles and drones in the postal sector in Bosnia and Herzegovina. The research is based on a survey questionnaire on the use of drones and autonomous vehicles in the postal sector in the segment of shipment delivery.

About Me

Amel Kosovac holds a Ph.D. in Technical Sciences and is a university professor. He is the Dean of the Faculty of Transport and Communications at the University of Sarajevo. He holds bachelor's, master's, and doctoral degrees from the Faculty of Transport and Communications, University of Sarajevo, where he also teaches as an Associate Professor in the field of Postal Technology, teaching "Customer Relationship Management" and "Technological Marketing". His current research interests are the Internet of Postal Things (IoPT), logistics systems, and engineering education. He was a member of the Supervisory Board of J.P. BH Post d.d., Sarajevo, a Member of the Board of the Association of Certified Persons for Performing Functions in Supervisory Boards and Management Boards of Companies with State Capital—Chamber of Commerce of the Federation of Bosnia and Herzegovina, and an Expert Representative for the scientific field of Technical Sciences/Faculty of Transport and Communications Traffic. He is the Coordinator of the human resources management support system of the University of Sarajevo. He is the author of the book "Postal Traffic Infrastructure" and of over thirty scientific and professional papers. He has participated in several national and international conferences, congresses, and symposia, as well as in the implementation of several scientific research projects and studies. He is the Dean of the Faculty of Transport and Communications at the University of Sarajevo.

Prof. Dr. Amel Kosovac

Prof. Dr. Amel Kosovac

Research Focus & Metrics

Academic Career Length

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Representative Publications

About Me