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Emir Žunić
Researcher at University of Sarajevo
Publications - 6
Citations - 35
Emir Žunić is an academic researcher from University of Sarajevo. The author has contributed to research in topics: Vehicle routing problem & Modular design. The author has an hindex of 3, co-authored 6 publications receiving 22 citations.
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Journal ArticleDOI
Adaptive multi-phase approach for solving the realistic vehicle routing problems in logistics with innovative comparison method for evaluation based on real GPS data
TL;DR: The paper presents a complete multi-phase intelligent and adaptive transportation management system, which includes data collection, parameter tuning, and the heuristic algorithm based on the Tabu search for vehicle routing, which resulted with more than satisfactory results in real-world application.
Journal ArticleDOI
Application of Facebook's Prophet Algorithm for Successful Sales Forecasting Based on Real-world Data
TL;DR: In this paper, a framework capable of accurately forecasting future sales in the retail industry and classifying the product portfolio according to the expected level of forecasting reliability is presented, which is based on Facebook's Prophet algorithm and backtesting strategy.
Book ChapterDOI
A Rule Based Events Correlation Algorithm for Process Mining
TL;DR: The aim of the presented rule based algorithm is to find events belonging to the same case instance, for different sizes of log file events and different levels of errors within log files in the real process.
Proceedings ArticleDOI
Innovative Modular Approach based on Vehicle Routing Problem and Ant Colony Optimization for Order Splitting in Real Warehouses
TL;DR: The complete process of optimal order splitting is described, which consists of evaluating if a given order requires to besplit, determining the number of orders it needs to be split into, assigning items for every worker and optimizing the order picking routes.
Book ChapterDOI
Two-Phase Approach for Solving the Rich Vehicle Routing Problem Based on Firefly Algorithm Clustering.
TL;DR: In this paper, a two-phase approach to solving the problem of vehicle routing with the fulfillment of several realistic conditions is presented, which consists of customer clustering based on the firefly algorithm and process to solve rich VRP based on created clusters.