1. Framing the tourist spatial identity of a city as a tourist productMelita Rozman Cafuta, 2022, izvirni znanstveni članek Opis: Purpose – The purpose of this paper is to develop a methodology for shaping the tourist spatial identity of the city and to take advantage of it to discover alternative urban outdoor spaces. As the number of indoor visitors has been limited due to the COVID-19 pandemic, open urban areas such as streets, squares and parks have become more important tourist locations. Design/methodology/approach – The assessment methodology consists of two basic steps. In the first step, the authors look for places or points that are carriers of spatial identity. For this purpose, the method of mental mapping is used. In the second step, statistical methods are used to evaluate the spatial suitability for the most common tourist activities. To obtain a holistic picture, a temporal component is included. Findings – The application of the methodology is presented in the form of a case study. The obtained research results provide an insight into the spatial situation of the city of Maribor (Slovenia, Europe). Tourist spatial identity of a city depends on time. Based on the value of spatial sensitivity indicator and the suitability of activities, it is possible to adapt the tourist offer to the temporal component. Originality/value – To the best of the authors’ knowledge, this is an original perspective on the spatial identity of tourists. The presented approach could be integrated as a good practice in any other city worldwide. It supports the identification of suitable outdoor tourist places that are memorable, cosy, multifunctional and can be recommended by city guides (mobile or printed books). Every city has many hidden gems that tourists have yet to discover
Ključne besede: urban tourism, evaluation methodology, image of the city, mental mapping, spatial identity
Objavljeno v DKUM: 12.03.2025; Ogledov: 0; Prenosov: 3
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2. A framework for the evaluation of the cultural heritage information ontologyAndrej Tibaut, Sara Guerra de Oliveira, 2022, izvirni znanstveni članek Opis: The intelligent management of built cultural heritage, including heritage buildings, requires common semantics in the form of standardized ontologies to achieve semantic interoperability. Foundational ontologies should be reused when building new ontologies, as they provide high-level terms; however, candidate foundational ontologies should be evaluated for quality and pitfalls. Simple metrics (e.g., number of concepts) are easy to obtain with existing tools. Complex metrics such as quality of ontology structure, functional adequacy, transferability, reliability, compatibility, maintainability, and operability, are defined in recent ontology evaluation frameworks; however, these do not evaluate interoperability features. The paper proposes an improved framework for an automated ontology evaluation based on the OQuaRE framework. Our approach improved some of the metrics of the OQuaRE framework and introduced three metrics for assessing the interoperability of the ontology in question (Externes, Composability, and Aggregability). In the experimental section, the framework is validated in an evaluation of cultural heritage information ontology (CIDOC CRM—ISO 12217:2014) with the use of new software for ontology evaluation. The detailed results reveal that the ontology is minimally acceptable and that the improved evaluation framework efficiently integrated interoperability metrics. Recommendations for the improvement of the cultural heritage information ontology are described in the Discussion and Conclusions section.
Ključne besede: ontology evaluation, interoperability metrics, cultural heritage, heritage buildings, cultural heritage information ontology, systematic evaluation, cultural heritage domain ontologies, BIM
Objavljeno v DKUM: 11.03.2025; Ogledov: 0; Prenosov: 2
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3. Process simulate versus inertial Mocap system in human movement evaluationD. Lanzoni, Gregor Harih, Borut Buchmeister, Nataša Vujica-Herzog, 2024, izvirni znanstveni članek Opis: There are various tools for evaluating physical ergonomics. Two main computer-assisted approaches can be recognized in the literature: analytical evaluation using simulation software like Siemens Jack or Process Simulate, and empirical evaluation by tracking human body movement. Both methods have their own advantages and disadvantages. This article compares an analytical method using Process Simulate software and an empirical evaluation using an inertial motion tracking system and highlights the strengths and limitations of both approaches. The information from the tracking system is processed by the Process Simulate software and an ad-hoc ergonomic analysis module developed in Unity. Given the limited license of Process Simulate, the ergonomic comparison is performed using two indices, RULA and OWAS. Other comparison metrics discussed in the article are the time required for the analysis, the additional functionality each solution offers and the possibility of augmenting the assessment with virtual or augmented reality solutions. The results show some limitations of using Process Simulate with the tracking data and the great versatility of the solution developed in Unity
Ključne besede: ergonomics, simulation, analytical evaluation, empirical evaluation
Objavljeno v DKUM: 11.03.2025; Ogledov: 0; Prenosov: 2
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4. Comparing algorithms for predictive data analytics : magistrsko deloGoran Kirov, 2024, magistrsko delo Opis: The master’s degree thesis is composed of theoretical and practical parts. The theoretical part describes the basics of predictive data analytics and machine learning algorithms for classification such as Logistic Regression, Decision Tree, Random Forest, SVM, and KNN. We also describe different evaluation metrics such as Recall, Precision, Accuracy, F1 Score, Cohen’s Kappa, Hamming Loss, and Jaccard Index that are used to measure the performance of these algorithms. Additionally, we record the time taken for the training and prediction processes to provide insights into algorithm scalability.
The key part master’s thesis is the practical part that compares these algorithms with a self-implemented tool that shows results for different evaluation metrics on seven datasets. First, we describe the implementation of an application for testing where we measure evaluation metrics scores. We tested these algorithms on all seven datasets using Python libraries such as scikit-learn. Finally, w
Ključne besede: data analytics, machine learning, classification, evaluation metrics
Objavljeno v DKUM: 15.01.2025; Ogledov: 0; Prenosov: 51
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5. Ergonomic evaluation of human–robot collaborative order picking : a combined laboratory and simulation studyMinqi Zhang, Jakob Marolt, Primož Bencak, Eric Grosse, Tone Lerher, 2024, objavljeni znanstveni prispevek na konferenci Opis: Thanks to rapid technological developments in robotics, various automation technologies are being applied in warehouses today. Order picking, as a key process in warehouse operations, has drawn attention in academia and practice for decades. In addition to many studies dedicated to manual and fully automated order picking, efforts have also been made to study semi-automated warehouses in which humans and robots collaborate. However, these studies mostly focused on system efficiency and ignored ergonomic aspects. Order picking was confirmed as a labor-intensive process in an environment in which workers are at a high risk of developing health problems. Therefore, this study addresses the investigation of physical human working conditions in both manual and robot-assisted order picking systems via real-life laboratory experiments and simulation modeling. We used a motion capture system to assess human working postures when working with and without robot assistance. In addition, we estimated the daily workload by applying the energy expenditure concept. Using simulation experiments, we were able to extend the results to various practical scenarios with different design variables, for example warehouse layouts, order sizes, and human-robot team configuration. Our preliminary results reveal that human-robot collaboration can reduce human workload. Posture evaluation also shows a slight improvement.
Ključne besede: order picking, autonomous mobile robot, human factors, ergonomics, assisted order picking, hybrid order picking, simulation, performance evaluation
Objavljeno v DKUM: 21.11.2024; Ogledov: 0; Prenosov: 4
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6. Analytical model and swapping policy assessment of a vertical lift module – buffer integrated storage systemJakob Marolt, Fabio Sgarbossa, Jesus A. Jimenez, Abhimanyu Sharotry, Tone Lerher, 2024, izvirni znanstveni članek Opis: To meet the rising demands of global trade and e-commerce, efficient warehousing relies on inte-grated and cooperative material handling systems. This paper investigates the extension of VerticalLift Module (VLM) storage capability with a Buffer System and assesses the impact of this integra-tion on performance. We developed an analytical model to calculate the expected dual commandcycles, forming the basis for evaluating the VLM – Buffer integrated storage system’s performance.Our research emphasises minimising unnecessary swaps between the VLM and the Buffer Systemto enhance throughput performance. We introduce the Look Ahead Strategy (LAS) to minimiseinter-system swaps and develop a Binary Integer Program (BIP) to benchmark its performance. Theresults indicate that LAS performs on par with BIP, due to its ability to consider product popular-ity during the final selection of the outbound swapping tote. Through a comprehensive analysisof the analytical model with an empirical correction, utilising Pareto-based order sequences, theresults show deviations of less than 1% on average, affirming the analytical model’s accuracy. Ourresearch provides insights on using the VLM-Buffer integrated storage system, emphasising efficienttote swapping policies like LAS for enhanced warehouse operations, and allows managers to assesssystem performance through scenario-based analyses.
Ključne besede: automated warehouses, vertical lift module, toteswapping, analytical and numerical modelling, performance evaluation
Objavljeno v DKUM: 11.10.2024; Ogledov: 0; Prenosov: 3
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7. Green sourcing: effects on supplier performance metrics in fast food restaurants in frontier marketsPaul Mukucha, Bongani E. Mushanyuri, Divaries Cosmas Jaravaza, 2021, izvirni znanstveni članek Opis: Following the banning of expanded polystyrene packaging material, the fast food restaurant industry was serendipitously plunged into green sourcing initiatives for its packaging materials leading to heightened efforts on evaluating the suitability of various suppliers of green packaging material. This study therefore sought to assess the performance of selected suppliers on supplier performance metrics of total cost of ownership, quality of sourced material and delivery performance, in Zimbabwe’s restaurant industry. Methodology: Data was collected from senior procurement officers of 30 officially registered fast food restaurants in Zimbabwe. Each restaurant randomly selected 5 suppliers from their supplier lists. Each unit was asked to rate their 5 major suppliers of packaging material leading to an effective sample size of 150 suppliers. Structural Equation Modeling (SEM) was used to analyse data in AMOS. The five steps in SEM, that is: model specification, model identification, parameter estimation, model evaluation and modification were done. Findings: The findings in this study revealed that green sourcing leads to improved procurement performance in terms of total cost of ownership, quality of the materials sourced, and delivery performance. Implications for theory and practice: It was therefore recommended that practically the restaurant industry should explore various options of green packaging material ranging from recyclable and reusable plastic, paper, aluminium and steel material. Originality and value: Although the study was done in a single market, there is dearth in literature on green sourcing in frontier markets, of which the study provides empirical evidence from the restaurant industry in SubSaharan Africa.
Ključne besede: green sourcing, supplier evaluation, fast food restaurant, frontier markets, supplier performance metrics, green packaging material, total cost of ownership, quality of sourced material, delivery performance
Objavljeno v DKUM: 23.08.2024; Ogledov: 80; Prenosov: 7
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8. Developing an integrated framework for supplier evaluation based on relevant attributes and performance measuresMohsen Cheshmberah, 2020, izvirni znanstveni članek Opis: Supplier evaluation and selection is essential to any organization, and planning an effective and comprehensive approach to that end seems inevitable. Meanwhile, determining the requisite criteria for evaluating and selecting suppliers is probably one of the most important steps to be taken towards developing an evaluation and selection model in the organization. In this article, first a review of the literature on the criteria and the field of supplier evaluation and selection are provided. These criteria are then placed into proper categories. In order to formulate a supplier evaluation and selection framework for the manufacturing organization under study, the implemented categorization is applied where a list of fifteen attributes and performance criteria is created; where upon it is secured with the help of a designated panel (project team). These features are then screened using Lawshe's method the "social attribute" is removed from the list of fifteen. The remaining 14 other criteria are configured within the SEAP (Suppliers Evaluation based on Attributes and Performances) framework. The framework follows the objective of continually evaluating suppliers, both potential and actual ones through incorporating their performances into their qualification ratings. Based on the proposed framework, suppliers are evaluated on the basis of two types of criteria, - feature (attribute) and performance.
Ključne besede: framework, supplier evaluation, supplier selection, criteria, performance measurement, attributes, Lawshe's method
Objavljeno v DKUM: 22.08.2024; Ogledov: 73; Prenosov: 8
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9. Multicriteria evaluation of intermodal (rail/road) freight transport corridorsMilan Janić, 2020, izvirni znanstveni članek Opis: This paper deals with the multi-criteria evaluation of the intermodal (rail/road) freight corridors as competing transport alternatives. For such a purpose, the methodology has been developed consisting of two main components; i) the analytical models for estimating the indicators and measures of the corridors’ physical/spatial or infrastructural, technical/technological, operational, economic, social, and environmental performance; and ii) the MCDM (Multi-Criteria Decision Making) method using the above-mentioned indicators and measures of performance as the evaluation attributes/criteria in ranking and identifying the preferred among the several mutually competing freight transport alternative corridors. The proposed methodology has been applied to two Trans-European intermodal rail/road freight transport corridors. As such, it has shown to be of use, in addition to the researchers, also to the other potential DMs (Decision Maker(s)). These could be, for example, the freight shippers/receivers as the users of the already existing intermodal (rail/road) transport services, the transport and intermodal terminal operators and infrastructure providers, and the business and policy makers facing with the problems of allocating the usually limited investments in the social-economic feasible way to the corresponding infrastructure at the local, regional, national, and international scale.
Ključne besede: intermodal (rail/road) freight transport corridors, indicators and measures of performance, multicriteria evaluation
Objavljeno v DKUM: 22.08.2024; Ogledov: 66; Prenosov: 9
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10. Implementation of the modern immersive learning model CPLMMatej Veber, Igor Pesek, Boris Aberšek, 2022, izvirni znanstveni članek Opis: The digitalization of industrial processes is being driven forward worldwide. In parallel, the education system must also be transformed. Currently, education does not follow the opportunities and development of technologies. We can ask ourselves how we can integrate technologies into a traditional learning process or how we can adapt the learning process to these technologies. We focused on robotics education in secondary vocational education. The paper contains research results from a modern learning model that addresses student problem-solving using cyber-physical systems. We proposed a reference model for industrial robotics education in the 21st century based on an innovative cyber-physical didactic model (CPLM). We conducted procedure time measurements, questionnaire evaluations, and EEG evaluations. We could use VR to influence the improvement of spatial and visual memory. The more intense representation of the given information influences multiple centers in the brain and, thus, the formation of multiple neural connections. We can influence knowledge, learning more effectively with short-term training in the virtual world than with classical learning methods. From the studied resources, we can conclude that the newer approach to teaching robotics is not yet available in this form. The emerging modern technologies and the possibility of developing training in this area should be investigated further.
Ključne besede: VR technologies, educational robotics, education, innovative learning method development, evaluation
Objavljeno v DKUM: 08.07.2024; Ogledov: 105; Prenosov: 14
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