| 1. |
- Ejdebäck, Mikael, 1969-, et al.
(författare)
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Personas som metod för utveckling av internationaliseringen i utbildning
- 2022
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Konferensbidrag (refereegranskat)abstract
- Enligt högskoleförordningens examensmål ska studenter efter avslutad utbildning inte bara uppvisa kunskap och förståelse för sitt områdes vetenskapliga grund utan även en rad färdigheter, förmågor, värderingsförmåga och förhållningssätt som inbegriper ett internationellt och interkulturellt perspektiv. Dessa perspektiv kan fås genom internationellt studentutbyte och mobilitet men också genom internationalisering på hemmaplan är tillgängligt för alla studenter. Internationaliseringen bryter språk- och kulturella barriärer, öppnar studenternas internationella perspektiv och bidrar därmed till att öka kvaliteten i utbildningarna och gör studenterna bättre förberedda för ett alltmer mångkulturellt samhälle och en global arbetsmarknad. Personas är fiktiva beskrivningar av typiska användare, förankrade i empiriska data med fokus på användarnas mål, behov, erfarenheter och beteenden. Inom området User Experience Design utgör personas ett viktigt stöd i den användarcentrerade designprocessen. Personas används ofta för att ge liv åt potentiella användare och därmed göra det lättare att ta användarens perspektiv, men har också använts för arbete med utveckling av studenters empatiska förmågor [1] [2]. I detta projekt användes personas för att beskriva studenters mål, behov, erfarenheter och beteenden, i relation till de internationella, interkulturella och globala färdigheter våra studenter behöver i sitt framtida yrkesliv. Syftet är att synliggöra de behov studenterna ska försöka möta och i sin tur söka avspegla detta i utbildningarna. I projektgruppen ingick programansvariga samt personer med erfarenhet av User Experience Design. Efter en kort presentation av projektet och dess resultat genomförs ett digitalt rundabordssamtal.Syftet med rundabordssamtalet är dels att diskutera allmängiltigheten i de projektresultat som presenterats, dels om personas kan användas för andra ändamål som exempelvis vid utveckling av högre utbildning. Projektledaren fungerar som moderator för samtalet och inleder med en kort Mentimeter-övning där deltagarna får reflektera kring det genomförda projektet och dess relevans för internationalisering i utbildningen. Beroende på antalet deltagare så kan rundabordssamtalet sedan delas in i mindre digitala grupper ledda av övriga projektdeltagare och med en gemensam återsamling med gemensam sammanfattning och avslut. Förväntat utfall från rundabordssamtalet är att sprida arbetssättet med personas men också att vi ska få med oss viktiga synpunkter för det fortsatta arbetet.[1] Haag, M., & Marsden, N. (2019). Exploring Personas as a Method to Foster Empathy in Student IT Design Teams. International Journal of Technology and Design Education, 29(3), 565–582.[2] van Rooij, S. W. (2012). Research-Based Personas: Teaching Empathy in Professional Education. Journal of Effective Teaching, 12(3), 77–86.
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| 2. |
- Flores-García, Erik, et al.
(författare)
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Simulation-based Optimization for Facility Layout Design in Conditions of High Uncertainty
- 2018
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Ingår i: Procedia CIRP. - : Elsevier. - 2212-8271 .- 2212-8271. ; 72, s. 334-339
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Tidskriftsartikel (refereegranskat)abstract
- Despite the increased use of Simulation based Optimization, the design of facility layout is challenged by high levels of uncertainty associatedwith new production processes. Addressing this issue, this paper aims to understand the conceptual modeling activities of Simulation-basedOptimization for facility layout design in conditions of high uncertainty. Based on three in-depth case studies, the results of this paper showhow characterization criteria of production systems can be used in conceptual modelling to reduce uncertainty. These results may be essentialto support managers and stakeholders during the introduction of new production processes in the design of facility layouts.
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| 3. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
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How can decision makers be supported in the improvement of an emergency department? : A simulation, optimization and data mining approach
- 2017
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Ingår i: Operations Research for Health Care. - : Elsevier. - 2211-6923 .- 2211-6931. ; 15, s. 102-122
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Tidskriftsartikel (refereegranskat)abstract
- The improvement of emergency department processes involves the need to take into considerationmultiple variables and objectives in a highly dynamic and unpredictable environment, which makes thedecision-making task extremely challenging. The use of different methodologies and tools to support thedecision-making process is therefore a key issue. This article presents a novel approach in healthcarein which Discrete Event Simulation, Simulation-Based Multi-Objective Optimization and Data Miningtechniques are used in combination. This methodology has been applied for a system improvementanalysis in a Swedish emergency department. As a result of the project, the decision makers were providedwith a range of nearly optimal solutions and design rules which reduce considerably the length of stayand waiting times for emergency department patients. These solutions include the optimal number ofresources and the required level of improvement in key processes. The article presents and discussesthe benefits achieved by applying this methodology, which has proven to be remarkably valuable fordecision-making support, with regard to complex healthcare system design and improvement.
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| 4. |
- Goienetxea Uriarte, Ainhoa, et al.
(författare)
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Improved system design of an emergency department through simulation-based multiobjective-optimization
- 2014
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Konferensbidrag (refereegranskat)abstract
- Healthcare facilities, and especially emergency departments (ED), are usually characterized by its complexity due to the variability and stochastic nature of the processes involved in the system. The combination of different flows of patients, staff and resources also increments the complexity of this kind of facilities. In order to increase its efficiency, many researchers have proposed discrete-event simulation (DES) as a powerful improvement tool. However, DES can be a limited approach in the case a simulation model has too many combinations of input parameters, complex correlations between the input and output parameters and different objective functions. Hence, to find the best configuration of a complex system, an approach combining DES and meta-heuristic optimization becomes an even more powerful improvement technique. Simulation-based multiobjective-optimization (SMO) is a promising approach to generate multiple trade-off solutions particularly when multiple conflicting objectives exist within a complex system. The generated solutions provide decision makers with feasible and optimal alternatives to improve, modify or design healthcare systems. The aim of this paper is to present the work done at the ED of the regional Hospital of Skövde in Sweden, where SMO implemented in modeFromtier has been successfully applied. The result and methodology present a successful approach for decision makers in healthcare systems to reduce the waiting time of patients saving considerable time, money and resources.
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| 5. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
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Improving the material flow of a manufacturing company via lean, simulation and optimization
- 2017
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Ingår i: IEEE International Conference on Industrial Engineering and Engineering Management. - : IEEE. - 9781538609484 - 9781538609477 - 9781538609491 ; , s. 1245-1250
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Konferensbidrag (refereegranskat)abstract
- Companies are continuously working towards system and process improvement to remain competitive in a global market. There are different methods that support companies in the achievement of that goal. This paper presents an innovative process that combines lean, simulation and optimization to improve the material flow of a manufacturing company. A description of each step of the process details the lean tools and principles taken into account, as well as the results achieved by the application of simulation and optimization. The project resulted in an improved layout and material flow that employs an automated guided vehicle. In addition, lean wastes related to transport, inventory levels as well as waiting times were reduced. The utilization of the process that combines lean, simulation and optimization was considered valuable for the success of the project.
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| 6. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
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System design and improvement of an emergency department using Simulation-Based Multi-Objective Optimization
- 2015
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Ingår i: Journal of Physics, Conference Series. - : Institute of Physics Publishing (IOPP). - 1742-6588 .- 1742-6596. ; 616:1
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Tidskriftsartikel (refereegranskat)abstract
- Discrete Event Simulation (DES) is nowadays widely used to support decision makers in system analysis and improvement. However, the use of simulation for improving stochastic logistic processes is not common among healthcare providers. The process of improving healthcare systems involves the necessity to deal with trade-off optimal solutions that take into consideration a multiple number of variables and objectives. Complementing DES with Multi-Objective Optimization (SMO) creates a superior base for finding these solutions and in consequence, facilitates the decision-making process. This paper presents how SMO has been applied for system improvement analysis in a Swedish Emergency Department (ED). A significant number of input variables, constraints and objectives were considered when defining the optimization problem. As a result of the project, the decision makers were provided with a range of optimal solutions which reduces considerably the length of stay and waiting times for the ED patients. SMO has proved to be an appropriate technique to support healthcare system design and improvement processes. A key factor for the success of this project has been the involvement and engagement of the stakeholders during the whole process.
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| 7. |
- Nourmohammadi, Amir, et al.
(författare)
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A Genetic Algorithm for Bi-Objective Assembly Line Balancing Problem
- 2019
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Ingår i: Advances in Manufacturing Technology XXXIII. - Amsterdam : IOS Press. - 9781643680088 - 9781643680095 ; , s. 519-524
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Konferensbidrag (refereegranskat)abstract
- Assembly line designs in manufacturing commonly face the key problem of dividing the assembly tasks among the working stations so that the efficiency of the line is optimized. This problem is known as the assembly line balancing problem which is known to be NP-hard. This study, proposes a bi-objective genetic algorithm to cope with the assembly line balancing problem where the considered objectives are the utilization of the assembly line and the workload smoothness measured as the line efficiency and the variation of workload, respectively. The performance of the proposed genetic algorithm is tested through solving a set of standard problems existing in the literature. The computational results show that the genetic algorithm is promising in providing good solutions to the assembly line balancing problem.
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| 8. |
- Ruiz Zúñiga, Enrique, 1986-
(författare)
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A simulation-based approach for optimization of production logistics with consideration to production layout : Research Proposal
- 2016
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Manufacturing sectors in Sweden have a long tradition and represent a significant share of the national gross domestic product and the export values. Most of the Swedish manufacturing companies have gone through a modernization and adaptation process in order to be able to compete on a globalized market. Many plants, however, still have non-optimized shop floors as a consequence of adaptations over time without redesigning its production and logistics flows and with a lack of an overall strategy. To support the optimization of shop floors, this project suggests the combined use of Discrete-Event Simulation (DES) and Simulation-Based Multi-objective Optimization (SBO) under the umbrella of a design and creation research strategy. The aim of the project is to support the improvement and optimization of high product mix and a low-volume of customized products manufacturing systems by considering production and logistics flows along with the shop floor layout. The methodology is intended to contribute to significantly increase the productivity and efficiency of the Swedish manufacturing industry and help companies to survive on the globalized market. The potential results can serve for decision makers and stakeholders to apply changes and adaptations in the system considering the mid and long term goals of the company. Going through different case studies implemented in a middle-size water pumps manufacturer, this methodology will be useful in practice and it will provide a decision support system for this specific industrial partner and will serve as a guideline for other manufacturing companies.
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| 9. |
- Ruiz Zúñiga, Enrique, 1986-, et al.
(författare)
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A simulation-based multi-objective optimization approach for production and logistics considering the production layout
- 2016
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Ingår i: Proceedings of the 7th Swedish Production Symposium.
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Konferensbidrag (refereegranskat)abstract
- Manufacturing sectors in Sweden have a long tradition and represent a significant share of the national gross domestic product and the export values. Most of the Swedish manufacturing companies have gone through a modernization and adaptation process in order to be able to compete on a globalized market. Many plants, however, still have non-optimized shop floors as a consequence of the shop floors being adapted over time without redesigning its production and logistics flows and with a lack of an overall strategy. To support the optimization of shop floors, this paper suggests the combined use of Discrete-Event Simulation and Simulation-Based Multi-objective Optimization. The aim of the paper is to analyze a simulation methodology that supports the optimization of shop floors by considering production and logistics flows along with the shop floor layout. The methodology is intended to contribute to significantly increase the productivity and efficiency of the Swedish manufacturing industry and help companies to survive on the globalized market. Through a case study, the paper shows that the proposed methodology is useful in practice and that it provides a decision support system for manufacturing companies.
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| 10. |
- Ruiz Zúñiga, Enrique, 1986-, et al.
(författare)
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A Simulation-Based Optimization Methodology for Facility Layout Design in Manufacturing
- 2020
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Ingår i: IEEE Access. - : IEEE. - 2169-3536. ; 8, s. 163818-163828
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Tidskriftsartikel (refereegranskat)abstract
- Optimizing production systems is urgent and indispensable if companies are to cope with global competition and a move from mass production to mass customization. The urgency of this need is more obvious in old production plants with a history of modifications, expansions, and adaptations in their production facilities. It is common to find complex, intricate and inefficient systems of material and product flows as a result of poor production facility layout. Several approaches can be used to support the design of optimal facility layouts. However, there is a lack of a suitable generic methodology for designing such layouts. Additionally, there has been little focus on the data and resources required, or on how simulation and optimization can support the design of optimal facilities. To overcome these deficiencies, this paper studies the integration of simulation and optimization for the design and improvement of facility layouts taking into account production and logistics constraints. The paper includes a generic perspective and a detailed implementation. The proposed methodology is evaluated in two case studies and by drawing on the principles and tools of the functional resonance analysis method. This method analyzes the implementation order and variability of a group of processes that can lead to unwanted outcomes. The results can provide managers and other stakeholders with a methodology that adequately considers production and logistics constraints when seeking an optimized facility layout design.
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