1. Reducing Food Waste and Boosting Profits through Inventory Management: The Case of Small Slovenian BakeriesŠpela Lipnik, Žiga Čepar, 2025, original scientific article Abstract:
This article explores the role of inventory management in reducing food waste and improving economic performance in selected Slovenian bakeries, contributing to a more efficient, environmentally responsible and sustainable economy. Using semi-structured interviews with key bakery personnel and an in-depth analysis of business documentation, our study applies the Economic Order Quantity (EOQ) model and Newsvendor model to test the following two hypotheses: (H1) improving inventory management at Bakery 1 can reduce total annual procurement costs by more than 15% without causing spoilage or raw material waste, and (H2) minimizingfood waste at Bakery 2 may not necessarily align with maximizing profit. The findings confirm that applying these models can enhance production and procurement planning, demonstrating that while cost reductions and waste minimization are achievable, they may not always be fully aligned. The study underscores the importance of strategic inventory management in balancing financial and environmental objectives in small bakeries.
Keywords: EOQ and Newsvendor inventory management models, inventory optimization, food waste minimization, sustainable economy Published in RUP: 18.12.2025; Views: 160; Downloads: 0
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2. Optimizacija in grafi : učinkovitost nekaterih algoritmov v teoriji in praksiMarko Grgurovič, 2025, doctoral dissertation Keywords: dynamic programming, combinatorial optimization, ant colony optimization, shortest path problem, bottleneck path problem, traveling salesman problem, parallel algorithms, asymptotic analysis, expected-case analysis Published in RUP: 17.12.2025; Views: 210; Downloads: 3
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3. Scheduling truck arrivals for efficient container flow management in port logisticsDaniil Baldouski, Miklós Ferenz Krész, Balázs Dávid, 2025, original scientific article Abstract: The management of truck arrivals at container terminals is crucial for efficient port operations. Congestions developing both outside and inside the gates can cause logistical problems, while also having a significant impact on the environment and the surroundings of the port. Therefore, optimizing truck queues outside the gates of the port, as well as routing of trucks inside the terminals can lead to an improve- ment in the overall efficiency of the port processes. This paper presents a mixed- integer linear programming formulation to determine these optimal truck routes and schedules. The model considers a port with an external parking lot, multiple gates, internal roadways, and docks. A rolling horizon heuristic is also developed for the solution of instances where the model is otherwise intractable. The developed meth- ods are evaluated on instances simulated based on real-world data. Keywords: scheduling, port logistics, container flow optimization, simulation, mixed-integer linear programming Published in RUP: 04.07.2025; Views: 906; Downloads: 5
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5. Weighted lambda superstrings applied to vaccine designLuis Martínez, Martin Milanič, Iker Malaina, Carmen Álvarez, Martín-Blas Pérez, Ildefonso M. de la Fuente, 2019, original scientific article Keywords: vaccine design, bioinformatics, combinatorial optimization problem, weighted lambda-superstring, integer programming formulation, genetic algorithm, Nef protein Published in RUP: 13.02.2019; Views: 5719; Downloads: 171
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10. A combinatorial approach to the design of vaccinesLuis Martínez, Martin Milanič, Leire Legarreta Solaguren, Paul Medvedev, Iker Malaina, Ildefonso M. de la Fuente, 2015, original scientific article Keywords: razvoj cepiv, kombinatorična optimizacija, celoštevilsko programiranje, hevristika "hillclimbing", problem najkrajšega skupnega nadniza, problem pokritja z množicami, vaccine design, combinatorial optimization, integer programming, hill-climbing, shortest common superstring problem, set cover problem Published in RUP: 15.10.2015; Views: 5031; Downloads: 146
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