Iskanje po repozitoriju

Opis: Lean (L) and Six Sigma (SS) are among the most popular process improvement methodologies in organisations. This research reveals, how can L and SS methodologies be integrated. Integration of L and SS can improve outcome of process improvement initiatives, improve process efficiency and improve also thus related organisational performance. L enables SS speed such as faster cycles of experimentation and learning and on the other hand SS enables L quality such as less defects and less time for rework. Despite well-known benefits of LSS, many organisations are still not using LSS. Based on literature review we analyse and present the latest findings and research results about LSS use in organisations including various perspectives such as; how to integrate L and SS, impact on process improvement and organisation performance, in which stages of SS projects can L be integrated the most efficiently, what to consider at LSS use to achieve better process efficiency in organisations. Suggestions for more efficient LSS use in organisations include; interaction of L and SS at process improvement actions already in the project planning phase, the use of LLS based on an available resources and top management support. Experiences about LSS use from organisations Slovenia are presented. Research results dependent on the secondary literature review and limited data about LSS use and experiences from Slovenia. The results of this study have a great value to researchers, LSS practitioners, managers in organisations during planning and scheduling LSS projects.
Ključne besede: management, Six Sigma (SS), Lean (L), LSS, method, process, integration, study
Objavljeno v RUP: 04.03.2026; Ogledov: 356; Prenosov: 4
Celotno besedilo (1,28 MB)
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Ključne besede: isogeometric analysis, partial differential equations, multi-patch domains, splines, Cs-smoothnes, Galerkin method, collocation, mixed degree and regularity spline spaces
Objavljeno v RUP: 09.02.2026; Ogledov: 698; Prenosov: 34
Celotno besedilo (21,04 MB)

Opis: We present a novel method for solving high-order partial differential equations (PDEs) over planar multi-patch geometries with possibly extraordinary vertices demonstrated on the basis of the polyharmonic equation of order m, m ≥ 1, which is a particular linear elliptic PDE of order 2m. Our approach is based on the concept of Isogeometric Tearing and Interconnecting (IETI) and allows to couple the numerical solution of the PDE with Cs-smoothness, , across the edges of the multi-patch geometry. The proposed technique relies on the use of a particular class of multi-patch geometries, called bilinear-like Gs multi-patch parameterizations, to represent the multi-patch domain. The coupling between the neighboring patches is done via the use of Lagrange multipliers and leads to a saddle point problem, which can be solved first by a small dual problem for a subset of the Lagrange multipliers followed by local, parallelizable problems on the single patches for the coefficients of the numerical solution. Several numerical examples for the polyharmonic equation of order m = 1, m = 2 and m = 3, i.e. for the Poisson’s, the biharmonic and the triharmonic equation, respectively, are shown to demonstrate the potential of our IETI method for solving high-order problems over planar multi-patch geometries with possibly extraordinary vertices.
Ključne besede: isogeometric analysis, Galerkin method, C^s-smoothness, Tearing and Interconnecting, multi-patch domain, polyharmonic equation
Objavljeno v RUP: 02.02.2026; Ogledov: 583; Prenosov: 5
Celotno besedilo (6,42 MB)
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Opis: We describe here how the recent Wagner’s approach for applying reinforcement learning to construct examples in graph theory can be used in the search for critical graphs for small Ramsey numbers. We illustrate this application by providing lower bounds for the small Ramsey numbers R(K_{2, 5}, K_{3, 5}), R(B₃, B₆) and R(B₄, B₅) and by improving the lower known bound for R(W₅, W₇).
Ključne besede: Ramsey number, critical graph, reinforcement learning, cross-entropy method
Objavljeno v RUP: 03.11.2025; Ogledov: 728; Prenosov: 7
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Opis: Objectives Suicide research and prevention are complex. Many practical, methodological and ethical challenges must be overcome to implement effective suicide prevention interventions. Implementation science can offer insights into what works, why and in what context. Yet, there are limited real-world examples of the application of implementation science in suicide prevention. This study aimed to identify approaches to employ principles of implementation science to tackle important challenges in suicide prevention. Methods A questionnaire about promoting implementation science for suicide prevention was developed through thematic analysis of stakeholder narratives. Statements were categorised into six domains: research priorities, practical considerations, approach to intervention design and delivery, lived experience engagement, dissemination and the way forward. The questionnaire (n=52 statements—round 1; n=44 statements—round 2; n=9 statements—round 3) was administered electronically to a panel (n=62—round 1, n=48—round 2; n=45—round 3) of international experts (suicide researchers, leaders, project team members, lived experience advocates). Statements were rated on a Likert scale based on an understanding of importance and priority of each item. Statements endorsed by at least 85% of the panel would be included in the final guidelines. Results Eighty-two of the 90 statements were endorsed. Recommendations included broadening research inquiries to understand overall programme impact; accounting for resources in the translation of evidence into practice; embedding implementation science in intervention delivery and design; meaningfully engaging lived experience; considering channels for dissemination of implementation-related findings and focusing on next steps needed to routinely harness the strengths of implementation science in suicide prevention research, practice and training. Conclusion An interdisciplinary panel of suicide prevention experts reached a consensus on optimal strategies for using implementation science to enhance the effectiveness of policies and programmes aimed at reducing suicide.
Ključne besede: suicide prevention, Delphi expert consensus method, implementation science
Objavljeno v RUP: 26.09.2025; Ogledov: 788; Prenosov: 4
Celotno besedilo (1,31 MB)
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