1. A time-evolving optimization model for an intermodal distribution supply chain network : a case study at a healthcare companySara Johansson, My Westberg, 2016, master's thesis Abstract: Enticed by the promise of larger sales and better access to customers, consumer goods compa- nies (CGCs) are increasingly looking to evade traditional retailers and reach their customers directly–with direct-to-customer (DTC) policy. DTC trend has emerged to have major im- pact on logistics operations and distribution channels. It oers significant opportunities for CGCs and wholesale brands to better control their supply chain network by circumventing the middlemen or retailers. However, to do so, CGCs may need to develop their omni-channel strategies and fortify their supply chains parameters, such as fulfillment, inventory flow, and goods distribution. This may give rise to changes in the supply chain network at all strategic, tactical and operational levels.
Motivated by recent interests in DTC trend, this master thesis considers the time-evolving supply chain system of an international healthcare company with preordained configuration. The input is bottleneck part of the company’s distribution network and involves 20% ≠ 25% of its total market. A mixed-integer linear programming (MILP) multiperiod optimization model is developed aiming to make tactical decisions for designing the distribution network, or more specifically, for determining the best strategy for distributing the products from manufacturing plant to primary distribution center and/or regional distribution centers and from them to customers. The company has got one manufacturing site (Mfg), one primary distribution center (PDP) and three dierent regional distribution centers (RDPs) worldwide, and the customers can be supplied from dierent plants with various transportation modes on dierent costs and lead times. The company’s motivation is to investigate the possibility of reduction in distribution costs by in-time supplying most of their demand directly from the plants. The model selects the best option for each customer by making trade-os among criteria involving distribution costs and lead times. Due to the seasonal variability and to account the market fluctuability, the model considers the full time horizon of one year.
The model is analyzed and developed step by step, and its functionality is demonstrated by conducting experiments on the distribution network from our case study. In addition, the case study distribution network topology is utilized to create random instances with random parameters and the model is also evaluated on these instances. The computational experiments on instances show that the model finds good quality solutions, and demonstrate that significant cost reduction and modality improvement can be achieved in the distribution network. Using one-year actual data, it has been shown that the ratio of direct shipments could substantially improve. However, there may be many factors that can impact the results, such as short-term decisions at operational level (like scheduling) as well as demand fluctuability, taxes, business rules etc. Based on the results and managerial considerations, some possible extensions and final recommendations for distribution chain are oered.
Furthermore, an extensive sensitivity analysis is conducted to show the eect of the model’s parameters on its performance. The sensitivity analysis employs a set of data from our case study and randomly generated data to highlight certain features of the model and provide some insights regarding its behaviour.
Keywords: optimization, mixed-integer linear programming, supply chain, distribution network, sensitivity analysis
Published in RUNG: 14.04.2025; Views: 336; Downloads: 2
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2. Designing the intermodal multiperiod transportation network of a logistic service provider company for container managementTobias Sahlin, 2016, master's thesis Abstract: Lured by the promise of bigger sales, companies are increasingly looking to raise the volume of international trade. Consequently, the amount of bulk products carried in containers and transported overseas exploded because of the flexibility and reliability of this type of transportation. However, minimizing the logistics costs arising from the container flow management across different terminals has emerged asa major problem that companies and affiliated third-party logistics firms face routinely.
The empty tankcontainer allocation problem occurs in the context of intermodal distribution systems management and transportation operations carried out by logistic service provider companies. This paper considers the time-evolving supply chain system of an international logistic service provider company that transports bulk products loaded in tank containers via road, rail and sea. In such system, unbalanced movements of loaded tank containers forces the company to reposition empty tank containers. The purpose of this paper is to develop a mathematical model that supports tactical decisions for flow management of empty tank containers. The problem involves dispatching empty tank containers of various types to the meet on-time delivery requirements and repositioning the other tank containers to storage facilities, depots and cleaning stations. To this aim, a mixed-integer linear programming (MILP) multiperiod optimization model is developed.
The model is analyzed and developed step by step, and its functionality is demonstrated by conducting experiments on the network from our case study problem, within the boarders of Europe. The case study constitutes three different scenarios of empty tank container allocation. The computational experiments show that the model finds good quality solutions, and demonstrate that cost and modality improvements can be achieved in the network The sensitivity analysis employs a set of data from our case study and randomly selected data to highlight certain features of the model and provide some insights regarding the model’s behavior.
Keywords: supply chain, distribution network, repositioning, intermodal transport, sensitivity analysis
Published in RUNG: 14.04.2025; Views: 1456; Downloads: 2
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3. The role of logistics companies in promoting sustainable transport and reducing carbon emissions in supply chains : diploma thesisFeđa Nenadić, 2025, undergraduate thesis Abstract: This thesis examines the role of logistics companies in advancing sustainable transport and reducing carbon emissions in supply chains. The motivation for the research is the significant environmental impact caused by logistics operations, coupled with the increasing demand for sustainable supply chain practices. The problem addressed is the lack of a comprehensive review on sustainable logistics practices, as existing literature focuses largely on isolated case studies rather than providing an overarching analysis of strategies across the sector. The aim of this thesis was to fill this gap by conducting a literature review to gain insights into the key challenges and opportunities in sustainable logistics. This topic is highly relevant given the growing pressure on logistics companies to adopt greener practices, yet there is limited comprehensive literature that synthesizes strategies and solutions available to address these environmental challenges. A systematic literature search was employed, classifying sources into different categories based on their focus on emission reduction strategies, transportation modes, and energy efficiency. The main results demonstrate the effectiveness of strategies such as investing in alternative fuel vehicles, optimizing routes through advanced algorithms, adopting cargo consolidation practices, fostering cross-industry collaboration, and implementing energy-efficient technologies in warehousing. The study concludes that although there are still obstacles to overcome, logistics companies possess considerable opportunities to reduce their environmental impact while maintaining efficiency in their operations. These findings offer valuable insights for companies seeking to enhance their environmental performance and contribute to the ongoing efforts toward sustainable supply chain management.
Keywords: Sustainable transport, logistics companies, carbon emissions, environmental conservation, technological advancements
Published in RUNG: 03.03.2025; Views: 608; Downloads: 22
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6. Statistical models : lecture at the Bridging gaps: formal, computational and experimental approaches in linguistics 2023 (FEAL 2023), 2. 8. 2023, Chemnitz, GermanyAhmad Hosseini, 2023, unpublished conference contribution Abstract: As a collaboration among the University of Nova Gorica (Slovenia), University of Craiova (Romania), and University of Udine (Italy), FEAL 2023 represents an interdisciplinary training opportunity for BA, MA and PhD students from linguistics, applied mathematics, psychology, and neuroscience.
It addresses research topics in contemporary linguistics through formal, computational, and experimental approaches.
In this training opportunity, we will explore some of the most fundamental General Linear Models (GLMs) that have a wide range of applications in various fields. GLMs provide a flexible framework for modeling a variety of data types, including continuous, binary, count, and categorical data, making them an essential tool for any data analyst. During the course, we will briefly cover some GLM models that have applications in diverse fields such as Psychology, Linguistics, Viticulture, Neuroscience, Economics, Biology, and beyond. We will review the basic concepts and tools in GLMs and will discuss how to choose the appropriate model for a given data type and how to interpret the model's output. This course will provide a hands-on learning experience, where you will have the opportunity to apply the concepts you learn to real-world datasets (using SPSS and Excel). We will go as long as time permits to cover as many topics as possible and ensure that you have a good understanding of GLM models and the skills to apply them to your own research projects.
Keywords: Experimental Linguistics, Statistical Models, Mathematical and Computational Linguistics, General Linear Models (GLMs)
Published in RUNG: 06.01.2025; Views: 565; Downloads: 6
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8. A short introduction to some basic statistical tests using SPSS : seminar, 9. 5. 2024, VipavaAhmad Hosseini, 2024, other performed works Abstract: This short 1-hour seminar aims to provide a gentle introduction to quantitative analysis using the statistical software SPSS. It is designed to assist individuals who wish to familiarize themselves with using SPSS as a tool for data manipulation and conducting some basic statistical tests. The seminar is ideal for students and practitioners who have a solid understanding of various statistical tests (such as GLM methods) and theoretical quantitative data analysis methodologies and are interested in exploring their application in SPSS. Additionally, it caters to students and researchers who have completed courses in Applied Statistics and Methodology but have not had significant exposure to statistical analysis software.
Keywords: Quantitative Analysis, Statistical Software SPSS, Statistical Tests, GLM Methods, Applied Statistics
Published in RUNG: 06.01.2025; Views: 733; Downloads: 3
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9. Uncertainty modeling and stability assessment of minimum spanning trees in network designAhmad Hosseini, 2024, original scientific article Abstract: The Minimum Spanning Tree (MST) problem in networks focuses on finding efficient routes, with applications in transportation, logistics, telecommunications, and more. However, catastrophes can make these networks uncertain, requiring robust computational models for decision-making. This paper introduces an uncertainty theory-based model to analyze the stability of MSTs in uncertain networks. By incorporating reliability and risk variables, we assess the robustness of uncertain MSTs (UMSTs) and address the challenge of computing link tolerances, which define the range within which network links can vary without compromising MST optimality. This study proposes computational formulations to systematically calculate these tolerances, offering a more efficient alternative to traditional re-optimization methods.
Keywords: operations research, transportation, sensitivity analysis, uncertainty, reliability
Published in RUNG: 03.12.2024; Views: 968; Downloads: 7
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10. Raziskava potencialnih poslovnih priložnosti gostovanja Evropske prestolnice kulture 2025 : študija primera Miren-KrasAndraž Bašelj, 2024, research project (high school) Keywords: Nova Gorica, Evropska prestolnica kulture, Miren, Kras, turizem, Zvoki miru, Zeleno srce Krasa, predlogi, projekti
Published in RUNG: 01.08.2024; Views: 1594; Downloads: 11
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