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Abstract: 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.
Keywords: framework, supplier evaluation, supplier selection, criteria, performance measurement, attributes, Lawshe's method
Published in DKUM: 22.08.2024; Views: 73; Downloads: 8
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Abstract: Energy-consuming countries are affected by obstructions in supplies or conflicts that mayoccur along the energy transit path. Hence, the presence of a global logistics hub for energy acting as a connecting bridge between energy-supplying and energy-consuming countries can overcome suchtroubles, support the sustainable flow of energy, and achieve the overall operational efficiency of theenergy supply chain. However, establishing a global energy hub is a complicated issue, especiallyin the absence of a clear approach for this. Through conducting a systematic literature review on 36 papers over the past two decades, we identified the key determinants for each player in theenergy supply chain and proposed a leading and integrated conceptual framework for establishing and operating a global logistics energy hub, with a particular focus on oil and gas. This article contributes to knowledge by providing a comprehensive review targeting energy hubs from a logistics perspective, as previous studies have addressed energy hubs from other perspectives suchas political, legal, and security perspectives, while the logistics perspective has not been tackled comprehensively. Moreover, the suggested framework can be then used by further researchers to develop the performance of energy hubs. Practically, this framework can be employed to identify the requirements for a country to become a global energy hub.
Keywords: global logistics energy hub, energy supply chain, energy transit corridor, oil, gas, conceptual framework, supply chain management, logistics
Published in DKUM: 19.08.2024; Views: 78; Downloads: 9
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Abstract: Despite its short-term use, non-financial reporting is an important measure, as demonstrated by numerous theoretical studies and empirical research. However, the mandatory nature of non-financial reporting and public pressure have persuaded company management to address non-financial issues alongside financial ones. Companies from countries with a more prolonged culture and tradition have been more successful in this respect than the companies from “younger” transition countries. Overall, non-financial reporting has raised the level of social responsibility in companies. However, things are far from ideal. Many uncertain situations, e.g., environmental, health, energy, etc., bring new challenges. They require not only non-financial, but also sustainable solutions. Therefore, it is unsurprising that the disclosure of non-financial information has also been renamed sustainability reporting (regarding designation in legal acts). In the presented research, we analyze how Slovenian companies comply with the current legislation (NFRD) requirements and whether their non-financial reports are qualitatively and quantitatively adequate. We are interested in what changes the new legislative proposal (CSRD) requires from them. Are the efforts of the legislator going in the right direction? Will companies be better prepared for environmental and social risks, and therefore better manage for sustainability once the CSRD is in place? The results suggest that the qualitative part of the non-financial reporting is the weakest. This gap in the quality of (required) non-financial reporting is also the subject of the presented research, which shows the (non)quality of the present non-financial reporting and therefore justifies the development of further requirements. Thus, CSRD introduces mandatory and uniform reporting standards based on double materiality, unification of the system of sanctions, external audit, etc. Therefore, our expectations that the new directive will contribute to more sustainability-oriented corporate governance are legitimate and justified. Since the CSRD harmonized sustainability reporting in the EU, this applies to Slovenia and all member states.
Keywords: sustainability reporting, governance factors, legal framework, Directive 2014/95/EU, CSRD proposal
Published in DKUM: 01.07.2024; Views: 151; Downloads: 12
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Abstract: Scaled agile development approaches are now used widely in modern software engineering, allowing businesses to improve teamwork, productivity, and product quality. The incorporation of artificial intelligence (AI) into scaled agile development methods (SADMs) has emerged as a potential strategy in response to the ongoing demand for simplified procedures and the increasing complexity of software projects. This paper explores the intersection of AI-driven assistants within the context of the scaled agile framework (SAFe) for large-scale software development, as it stands out as the most widely adopted framework. Our paper pursues three principal objectives: (1) an evaluation of the challenges and impediments encountered by organizations during the implementation of SADMs, (2) an assessment of the potential advantages stemming from the incorporation of AI in large-scale contexts, and (3) the compilation of aspects of SADMs that AI-driven assistants enhance. Through a comprehensive systematic literature review, we identified and described 18 distinct challenges that organizations confront. In the course of our research, we pinpointed seven benefits and five challenges associated with the implementation of AI in SADMs. These findings were systematically categorized based on their occurrence either within the development phase or the phases encompassing planning and control. Furthermore, we compiled a list of 15 different AI-driven assistants and tools, subjecting them to a more detailed examination, and employing them to address the challenges we uncovered during our research. One of the key takeaways from this paper is the exceptional versatility and effectiveness of AI-driven assistants, demonstrating their capability to tackle a broader spectrum of problems. In conclusion, this paper not only sheds light on the transformative potential of AI, but also provides invaluable insights for organizations aiming to enhance their agility and management capabilities.
Keywords: SAFe, scaled agile framework, AI, artificial intelligence, tools, assistants, agile, large-scale
Published in DKUM: 26.01.2024; Views: 342; Downloads: 51
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Abstract: This thesis aims to implement an open-source framework for the automatic alignment and tracking of the KORUZA v2 Pro free-space optical solution. Free-space optical systems are explored and current optical alignment and tracking solutions are analyzed. We use Neural Network-based object detection approaches to complement the essential collection of framework functionality. We train a Neural Network to detect KORUZA v2 Pro units with data gathered from currently deployed links. The out-of-the-box solution for automatic alignment and tracking can be freely modified and extended.
Keywords: free-space optics, automatic alignment, neural networks, object detection, open-source framework
Published in DKUM: 14.03.2022; Views: 801; Downloads: 87
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