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  • 1.
    Goienetxea, Ainhoa
    et al.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Ng, Amos H.C.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. Division of Industrial Engineering and Management, Department of Engineering Science, Uppsala University, Sweden.
    Urenda Moris, Matías
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. Division of Industrial Engineering and Management, Department of Engineering Science, Uppsala University, Sweden.
    Bringing together Lean and simulation: a comprehensive review2019Ingår i: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588XArtikel, forskningsöversikt (Refereegranskat)
    Abstract [en]

    Lean is and will still be one of the most popular management philosophies in the Industry 4.0 context and simulation is one of its key technologies. Many authors discuss about the benefits of combining Lean and simulation to better support decision makers in system design and improvement. However, there is a lack of reviews in the domain. Therefore, this paper presents a four-stage comprehensive review and analysis of existing literature on their combination. The aim is to identify the state of the art, existing methods and frameworks for combining Lean and simulation, while also identifying key research perspectives and challenges. The main trends identified are the increased interest in the combination of Lean and simulation in the Industry 4.0 context and in their combination with optimisation, Six Sigma, as well as sustainability. The number of articles in these areas is likely to continue to grow. On the other hand, we highlight six gaps found in the literature regarding the combination of Lean and simulation, which may induce new research opportunities. Existing technical, organisational, as well as people and culture related challenges on the combination of Lean and simulation are also discussed.

  • 2.
    Goienetxea Uriarte, Ainhoa
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Bringing Together Lean, Simulation and Optimization: Defining a framework to support decision-making in system design and improvement2019Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [sv]

    De snabba förändringarna på marknaden såsom globalisering, ökat krav på personliga produkteroch tjänster från kunderna, kortare produktlivscykler, tekniska framsteg med exponentielltillväxt samt demografiska förändringar medför ökat krav på att organisationer effektivtförbättrar och utformar sina system. Detta är det nuvarande paradigmet som karaktäriserarindustri- och tjänstesektorerna. Det är ett scenario som utgör en stor utmaningför beslutsfattare, vilka kommer att behöva ta beslut i än mer komplexa system där det blirsvårare att utforma och förbättra system med bibehållen kvalitet. Lean är en allmänt tilllämpadproduktionsfilosofi med kraftfulla principer, med metoder och verktyg som är statiskatill sin natur vilka har begränsningar när det gäller utformning och förbättring avkomplexa och dynamiska system. En del författare har föreslagit den kombinerade användningenav simulering med Lean för att övervinna dessa begränsningar. Dessutom erbjudersimulering kombinerat med optimering och postoptimeringsverktyg genererandet av kunskapom optimala eller nästan optimala systemkonfigurationer. Även om både Lean-principermed dess metoder och verktyg och simulering syftar till att stödja organisationer vidutformning och förbättring av sina system tar litteraturen upp få fördelar med ett kombinerattillvägagångssätt. Flera studier fokuserar endast på hur specifika verktyg inom Leankan kombineras med simulering men behandlar inte hur Lean som filosofi kan stödja simuleringsprocessen.Syftet med denna forskning är att ta itu med denna kunskapsluckagenom att analysera fördelar med kombinationen Lean, simulering och optimering, samtbeskriva hur dess svagheter var för sig kan överbryggas när de kombineras. Resultatet presenterasi ett ramverk med beskrivning av dess genomförande, vilket syftar till att genereraett bättre beslutsstöd vid utformning och förbättring av komplexa och dynamiska system.Ramverket innefattar ett konceptuellt ramverk som förklarar relationerna mellan Lean-filosofin,dess metoder och verktyg, med simulering och optimering; olika ändamål för kombinationenbeskrivs, samt genomgång av steg för steg processer ges för att uppnå dessaändamål; identifiering av de roller som är inblandade i varje process beskrivs; en mognadsmodellpresenteras som ger riktlinjer för hur man implementerar ramverket; befintligahinder för genomförandet och etiska överväganden att ta hänsyn till lyfts också fram. Slutligenhar en industriell handbok skrivits som förklarar hur man ska implementera ramverket.Forskningen har genomförts i tre faser, bland annat en behovsanalys utifrån litteraturenoch verkliga projekt, definitionen av ramverket, och avslutningsvis utvärderas det genomverkliga projekt och med ämnesexperter. Huvudbidraget för denna forskning är reflektionenöver det extra utbytet med kombinationen Lean, simulering och optimering medXIIdess fördelar, vilket bygger på det framtagna ramverket och dess utvärdering. Där ramverkethar för avsikt att stödja beslutsfattare att fatta kvalitetsbeslut vid utformning och identifieringav förbättringar i sina system även i komplexa scenarier.

  • 3.
    Goienetxea Uriarte, Ainhoa
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Bringing together Lean, simulation and optimization in a framework for system design and improvement2018Ingår i: Proceedings of the Winter Simulation Conference, Gothenburg, 9-12 December, 2018 / [ed] M. Rabe, A. A. Juan, N. Mustafee, A. Skoogh, S. Jain, B. Johansson, Piscataway, New Jersey: IEEE, 2018, s. 4132-4133Konferensbidrag (Refereegranskat)
    Abstract [en]

    Is it beneficial to combine lean, simulation and optimization? And if so, how can they be combined for decision-making support in system design and improvement? This research proposes a framework that sets the basis for achieving beneficial interactions between the lean philosophy, methods and tools, and simulation-based optimization. A framework that gives the users the possibility to get better system understanding, conduct a deeper system analysis, and attain an optimal system design and improvement, and thereby, get better foundation for sustainable long time improvement. The framework has been tested in several realworld case studies. Moreover, surveys have been conducted to evaluate the perception of subject matter experts about its usefulness, as well as its usability and perceived quality by end users and decision makers, all of them reporting very positive results.

  • 4.
    Goienetxea Uriarte, Ainhoa
    et al.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Ng, Amos H. C.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden.
    Ruiz Zúñiga, Enrique
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Urenda Moris, Matías
    Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden.
    Improving the Material Flow of a Manufacturing Company via Lean, Simulation and Optimization2017Ingår i: Proceedings of the International Conference on Industrial Engineering and Engineering Management, IEEM2017, IEEE, 2017, s. 1245-1250Konferensbidrag (Refereegranskat)
    Abstract [en]

    Companies are continuously working towards system and process improvement to remain competitive in aglobal 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.

  • 5.
    Goienetxea Uriarte, Ainhoa
    et al.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Ng, Amos H. C.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden.
    Urenda Moris, Matias
    Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden.
    Jägstam, Mats
    Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden.
    Lean, Simulation and Optimization: A maturity model2017Ingår i: Proceedings of the International Conference on Industrial Engineering and Engineering Management, IEEM2017, IEEE, 2017, s. 1310-1315Konferensbidrag (Refereegranskat)
    Abstract [en]

    This article presents a maturity model that can be applied to support organizations in identifying their current state and guiding their further development with regard to lean, simulation and optimization. The paper identifies and describes different maturity levels and offers guidelines that explain how organizations can grow from lower to higher levels of maturity. In addition, it attempts to provide the starting point for organizations that have applied lean or are willing to implement it and which may also be considering taking decisions in a more efficient way via simulation and optimization.

  • 6.
    Goienetxea Uriarte, Ainhoa
    et al.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Ng, Amos H. C.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Urenda Moris, Matías
    Division of Industrial Engineering and Management, Department of Engineering Science, Uppsala University, Uppsala, Sweden.
    Supporting the lean journey with simulation and optimization in the context of Industry 4.02018Ingår i: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 25, s. 586-593Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The new industrial revolution brings important changes to organizations that will need to adapt their machines, systems and employees’ competences to sustain their business in a highly competitive market. Management philosophies such as lean will also need to adapt to the improvement possibilities that Industry 4.0 brings. This paper presents a review on the role of lean and simulation in the context of Industry 4.0. Additionally, the paper presents a conceptual framework where simulation and optimization will make the lean approach more efficient, speeding up system improvements and reconfiguration, by means of an enhanced decision-making process and supported organizational learning.

  • 7.
    Goienetxea Uriarte, Ainhoa
    et al.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Ruiz Zúñiga, Enrique
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Urenda Moris, Matías
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Ng, Amos H. C.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    How can decision makers be supported in the improvement of an emergency department?: A simulation, optimization and data mining approach2017Ingår i: Operations Research for Health Care, ISSN 2211-6923, E-ISSN 2211-6931, Vol. 15, s. 102-122Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    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.

  • 8.
    Goienetxea Uriarte, Ainhoa
    et al.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Ruiz Zúñiga, Enrique
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Urenda Moris, Matías
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Ng, Amos H. C.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    System design and improvement of an emergency department using Simulation-Based Multi-Objective Optimization2015Ingår i: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 616, nr 1, artikel-id 012015Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    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.

  • 9.
    Goienetxea Uriarte, Ainhoa
    et al.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Ruiz Zúñiga, Enrique
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Urenda Moris, Matías
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Ng, Amos H. C.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Karlberg, Catarina
    Monitoring and Analysis Area, Health Department of Västra Götaland, Skövde, Sweden.
    Wallqvist, Pierre
    Monitoring and Analysis Area, Health Department of Västra Götaland, Skövde, Sweden.
    Improved system design of an emergency department through simulation-based multiobjective-optimization2014Konferensbidrag (Refereegranskat)
    Abstract [en]

    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.

  • 10.
    Goienetxea Uriarte, Ainhoa
    et al.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Sellgren, Tommy
    Volvo Car Corporation.
    Ng, Amos H. C.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Urenda Moris, Matías
    Uppsala University.
    Introducing simulation and optimization in the Lean continuous improvement standards in an automotive company2019Ingår i: Proceedings of the Winter Simulation Conference, Gothenburg, December 9-12, 2018 / [ed] M. Rabe, A. A. Juan, N. Mustafee, A. Skoogh, S. Jain, B. Johansson, Piscataway, New Jersey: IEEE, 2019, s. 3352-3363Konferensbidrag (Refereegranskat)
    Abstract [en]

    The highly competitive automobile market requires automotive companies to become efficient by continuously improving their production systems. This paper presents a case study where simulationbased optimization (SBO) was employed as a step within a Value Stream Mapping event. The aim of the study was to promote the use of SBO to strengthen the continuous improvement work of the company. The paper presents all the key steps performed in the study, including the challenges faced and a reflection on how to introduce SBO as a powerful tool within the lean continuous improvement standards.

  • 11.
    Goienetxea Uriarte, Ainhoa
    et al.
    Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Urenda Moris, Matias
    Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Jägstam, Mats
    Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Allert, Anna-Lena
    Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Tööj, Lars
    Industrial Development Center West Sweden AB.
    Karlsson, Mattias
    Industrial Development Center West Sweden AB.
    An Innovative Collaboration Between Industry, University and Nonprofit Agency, for a Competitive Industry: A Swedish case2011Ingår i: ICERI 2001: 4th International Conference of Education, Research and Innovation: Conference proceedings / [ed] I. Candel Torres, L. Gómez Chova, A. López Martínez, International Association of Technology, Education and Development, IATED , 2011, s. 4154-4162Konferensbidrag (Refereegranskat)
    Abstract [en]

    In a knowledge based economy, manufacturing industry has to continuously improve their operations, processes and develop their employees in order to remain competitive in the market.

    In this context, the collaboration between industry and universities becomes of vital importance. Universities and industry have traditionally maintained fairly informal or lose ways of cooperation when it comes to education. This article presents a fruitful cooperation which has been established between the University of Skövde, the Industrial Development Center in the region, IDC West Sweden AB, and the manufacturing industry.

    The paper describes the development, lessons learned and the outcome of more than 3 years’ experience of close collaboration between the different stakeholders. It presents a methodology, used by the consortium to help manufacturing industries to improve their competiveness using a well defined process including: a company analysis, applied education and long-term coaching. A special focus is put on a long-term commitment by all partners. This alliance has performed more than 140 company analysis, conducted applied education for more than 2500 employees from more than 120 companies and performed coaching of more than 80 companies on site. The trend is that these figures will increase over time.

    The established collaboration has been strengthened over this period of time by a number of shared research projects. One of these projects involves an evaluation of the impact that this presented consortium has had on the region´s industry. Lean Learning Academies is another project that has been funded by the European Union within the Lifelong Learning Program, with the aim to increase the competitiveness of European companies and enhance the employability of students.

  • 12.
    Goienetxea Uriarte, Ainhoa
    et al.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Urenda Moris, Matías
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Ng, Amos H. C.
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Oscarsson, Jan
    Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Lean, Simulation and Optimization: A Win-Win combination2016Ingår i: Proceedings of the 2015 Winter Simulation Conference / [ed] L. Yilmaz, W. K. V. Chan, I. Moon, T. M. K. Roeder, C. Macal, and M. D. Rossetti, Piscataway, New Jersey: IEEE Computer Society, 2016, s. 2227-2238Konferensbidrag (Refereegranskat)
    Abstract [en]

    Lean and simulation analysis are driven by the same objective, how to better design and improve processes making the companies more competitive. The adoption of lean has been widely spread in companies from public to private sectors and simulation is nowadays becoming more and more popular. Several authors have pointed out the benefits of combining simulation and lean, however, they are still rarely used together in practice. Optimization as an additional technique to this combination is even a more powerful approach especially when designing and improving complex processes with multiple conflicting objectives. This paper presents the mutual benefits that are gained when combining lean, simulation and optimization and how they overcome each other´s limitations. A framework including the three concepts, some of the barriers for its implementation and a real-world industrial example are also described.

  • 13.
    Serrano Lasa, Ibon
    et al.
    Product Engineering Department, IDEKO IK4 Technological Centre, Spain.
    De Castro Vila, Rodolfo
    Business Organization, Management and Product Design Department, University of Girona, Spain.
    Goienetxea Uriarte, Ainhoa
    Research and Development Department, ULMA Handling Systems, Spain.
    Pacemaker, bottleneck and order decoupling point in lean production systems2009Ingår i: International journal of industrial engineering, ISSN 1072-4761, E-ISSN 1943-670X, Vol. 16, nr 4, s. 293-304Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The purpose of this article as follows: The first is to clarify the theories underlying the definition of three concepts- Pacemaker, Bottleneck and Order Decoupling Point- in the field of production systems design, planning and control; the second is to demonstrate the existing interrelations between the three concepts; and third, to set out guidelines that will make identifying and defining these concepts easier, when attempting to design or redesign a system using a lean production approach. It is hoped that this paper will fill a gap in the literature by relating these three concepts from different points of view, as well as offer practical guidelines to academics or professionals involved in the design, or redesign, of a production system Keeping this in mind, the findings portrayed in this publication have been organized into the following sections. First the article describes the literature review process that led to acceptable theoretical descriptions for each of the three concepts. Then, from a conceptual point of view and depending on production strategy - Made-To-Order (MTO) or Made-To-Stock (MTS) -a set of considerations, in different practical situations are made establishing the relationships between each of the concepts. At the same time this document provides some procedural guidelines to help identify the three concepts. Then a practical case of production system redesign is proposed, in which aspects and methods described in this article are used. Finally, conclusions are drawn at the end. © INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING.

  • 14.
    Urenda Moris, Matías
    et al.
    Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Ng, Amos H. C.
    Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Bernedixen, Jacob
    Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Goienetxea, Ainhoa
    Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Diseño Y Análisis De Sistemas Productivos Utilizando La Optimización Mediante Simulación Basado En Internet2012Ingår i: Ingenieria Industrial, ISSN 0717-9103, E-ISSN 0718-8307, Vol. 11, nr 1, s. 37-49Artikel i tidskrift (Övrigt vetenskapligt)
  • 15.
    Urenda Moris, Matías
    et al.
    Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Ng, Amos H. C.
    Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.
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