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Linnéusson, G. & Goienetxea Uriarte, A. (2023). Learning from simulating with system dynamics in healthcare: evaluating closer care strategies for elderly patients. Journal of Simulation, 17(5), 557-579
Open this publication in new window or tab >>Learning from simulating with system dynamics in healthcare: evaluating closer care strategies for elderly patients
2023 (English)In: Journal of Simulation, ISSN 1747-7778, E-ISSN 1747-7786, Vol. 17, no 5, p. 557-579Article in journal (Refereed) Published
Abstract [en]

This paper presents results from a simulation case study analyzing care strategies for elderly patients in a regional healthcare system (HCS) in Sweden. Three strategies to reduce emergency visits, hospitalisations, and stays were evaluated: care coordinators at emergency departments, mobile health clinics visiting fragile patients in their homes, and proactive primary care. Using system dynamics modelling and empirical data, the impact on the regional HCS was explored considering the reduced care demand and demographic changes. Subsequently, the impact on the population's health status was assessed. Combining strategies yielded the best outcome, but improving patients' health status may increase long-term care demand. The study emphasizes the importance of implementing these strategies to offer better care for elderly patients and reduce healthcare costs. Findings highlight the potential long-term effects of improving health status and the need for a comprehensive approach to address the evolving care demands of an ageing population.

Place, publisher, year, edition, pages
Taylor & Francis, 2023
Keywords
System dynamics, elderly care, healthcare decision-making, policy making
National Category
Production Engineering, Human Work Science and Ergonomics Medical and Health Sciences Health Care Service and Management, Health Policy and Services and Health Economy
Research subject
INF201 Virtual Production Development; Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-23037 (URN)10.1080/17477778.2023.2232768 (DOI)001024594300001 ()2-s2.0-85165205590 (Scopus ID)
Funder
Region Västra Götaland
Note

CC BY 4.0

CONTACT Gary Linnéusson gary.linneusson@ju.se Department of Product Development, Production and Design, School of Engineering, Jönköping University, Jönköping, Sweden

The authors gratefully acknowledge the region of Västra Götaland (VGR) for funding the project. The authors are especially thankful to the project team members from the Department of data management and analysis of VGR Catarina Karlberg, Anna Norman Kjellström, Karin Fröjd, and Malin Lönnbark for their engagement during the whole development of the project. We would also like to thank the reviewers for their thoughtful comments and efforts towards improving our manuscript.

Available from: 2023-07-15 Created: 2023-07-15 Last updated: 2023-11-02Bibliographically approved
Andersson, T., Linnéusson, G., Holmén, M. & Kjellsdotter, A. (2022). Nurturing innovative culture in a healthcare organisation: Lessons from a Swedish case study. Journal of Health Organization & Management, 37(9), 17-33
Open this publication in new window or tab >>Nurturing innovative culture in a healthcare organisation: Lessons from a Swedish case study
2022 (English)In: Journal of Health Organization & Management, ISSN 1477-7266, E-ISSN 1758-7247, Vol. 37, no 9, p. 17-33Article in journal (Refereed) Published
Abstract [en]

Purpose: Healthcare organisations are often described as less innovative than other organisations, since organisational culture works against innovations. In this paper, the authors ask whether it has to be that way or whether is possible to nurture an innovative culture in a healthcare organisation. The aim of this paper is to describe and analyse nurturing an innovative culture within a healthcare organisation and how culture can support innovations in such a healthcare organisation.

Design/methodology/approach: Based on a qualitative case study of a healthcare unit that changed, within a few years, from having no innovations to repeatedly generating innovations, the authors describe important aspects of how innovative culture can be nurtured in healthcare. Data were analysed using inductive and deductive analysis steps.

Findings: The study shows that it is possible to nurture an innovative culture in a healthcare organisation. Relationships and competences beyond healthcare, empowering structures and signalling the importance of innovation work with resources all proved to be important. All are aspects that a manager can influence. In this case, the manager's role in nurturing innovative culture was very important.

Practical implications: This study highlights that an innovative culture can be nurtured in healthcare organisations and that managers can play a key role in such a process.

Originality/value: The paper describes and analyses an innovative culture in a healthcare unit and identifies important conditions and strategies for nurturing innovative culture in healthcare organisations. 

Place, publisher, year, edition, pages
Emerald Publishing, 2022
Keywords
article, health care organization, human, leadership, manager, organizational culture, signal transduction, Healthcare organisation, Innovation, Innovative culture, Organisational culture, Value
National Category
Business Administration
Research subject
Followership and Organizational Resilience
Identifiers
urn:nbn:se:his:diva-22316 (URN)10.1108/JHOM-05-2021-0181 (DOI)000935356100001 ()36815697 (PubMedID)2-s2.0-85148548919 (Scopus ID)
Funder
Vinnova, 2019-03018
Note

CC BY 4.0

© 2022, Thomas Andersson, Gary Linnéusson, Maria Holmén and Anna Kjellsdotter.

Corresponding author Thomas Andersson can be contacted at: thomas.andersson@his.se

The study is funded by VINNOVA – the Swedish Governmental Agency for Innovation Systems, and the grant no is 2019-03018.

Available from: 2023-03-02 Created: 2023-03-02 Last updated: 2023-05-03Bibliographically approved
Linnéusson, G., Andersson, T., Kjellsdotter, A. & Holmén, M. (2022). Using systems thinking to increase understanding of the innovation system of healthcare organisations. Journal of Health Organization & Management, 36(9), 179-195
Open this publication in new window or tab >>Using systems thinking to increase understanding of the innovation system of healthcare organisations
2022 (English)In: Journal of Health Organization & Management, ISSN 1477-7266, E-ISSN 1758-7247, Vol. 36, no 9, p. 179-195Article in journal (Refereed) Published
Abstract [en]

Purpose – This paper applies systems thinking modelling to enhance the dynamic understanding of how to nurture an innovative culture in healthcare organisations to develop the innovation system in practice and speed up the innovative work. The model aims to provide a holistic view of a studied healthcare organisation’s innovation processes, ranging from managerial values to its manifestation in improved results.

Design/methodology/approach – The study is based on empirical material from a healthcare unit that, within a few years, changed from having no innovations to repeatedly generating innovations. The study uses the modelling language of causal loop diagrams (CLDs) in the system dynamics methodology to identify the key important aspects found in the empirical material.

Findings – The proposed model, based on the stories of the interviewees, explores the dynamics of inertia when nurturing an innovative culture, identifying delays attributed to the internal change processes and system relationships. These findings underscored the need for perseverance when developing an innovative culture in the entrepreneurial phases.

Practical implications – The approach of using systems thinking to make empirical healthcare research results more tangible through the visual notations of CLDs and mental simulations is believed to support exploring complex phenomena to induce and nurture both individual and organisational learning.

Originality/value – The results from this approach provide deepened analysis and provoke the systems view to explain how the nurturing of the culture can accelerate the innovation processes, which helps practitioners and researchers to further expand their understanding of their healthcare contexts.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2022
Keywords
Innovation system, Healthcare organisation, Organisational culture, Systems thinking
National Category
Business Administration Other Engineering and Technologies not elsewhere specified
Research subject
Followership and Organizational Resilience
Identifiers
urn:nbn:se:his:diva-21576 (URN)10.1108/jhom-01-2022-0004 (DOI)000820590600001 ()35788441 (PubMedID)2-s2.0-85133304664 (Scopus ID)
Funder
Vinnova, 2019-03018
Note

CC BY 4.0 (Attribution 4.0 International)

Corresponding author: Gary Linnéusson can be contacted at: gary.linneusson@ju.se

The authors acknowledge the colleagues in the research programme of this project, as well as the funding agency, VINNOVA, for the financial support in making the study possible. Funding: The study is funded by VINNOVA – the Swedish Governmental Agency for Innovation Systems, and the award number is 2019-03018.

Available from: 2022-07-06 Created: 2022-07-06 Last updated: 2022-10-14Bibliographically approved
Linnéusson, G., Ng, A. H. C. & Aslam, T. (2020). A hybrid simulation-based optimization framework supporting strategic maintenance to improve production performance. European Journal of Operational Research, 281(2), 402-414
Open this publication in new window or tab >>A hybrid simulation-based optimization framework supporting strategic maintenance to improve production performance
2020 (English)In: European Journal of Operational Research, ISSN 0377-2217, E-ISSN 1872-6860, Vol. 281, no 2, p. 402-414Article in journal (Refereed) Published
Abstract [en]

Managing maintenance and its impact on business results is increasingly complex, calling for more advanced operational research methodologies to address the challenge of sustainable decision-making. This problem-based research has identified a framework of methods to supplement the operations research/management science literature by contributing a hybrid simulation-based optimization framework (HSBOF), extending previously reported research.

Overall, it is the application of multi-objective optimization (MOO) with system dynamics (SD) and discrete-event simulation (DES) respectively which allows maintenance activities to be pinpointed in the production system based on analyzes generating less reactive work load on the maintenance organization. Therefore, the application of the HSBOF informs practice by a multiphase process, where each phase builds knowledge, starting with exploring feedback behaviors to why certain near-optimal maintenance behaviors arise, forming the basis of potential performance improvements, subsequently optimized using DES+MOO in a standard software, prioritizing the sequence of improvements in the production system for maintenance to implement.

Studying literature on related hybridizations using optimization the proposed work can be considered novel, being based on SD+MOO industrial cases and their application to a DES+MOO software.

Place, publisher, year, edition, pages
Elsevier, 2020
Keywords
Problem structuring, Decision support, System dynamics, Multi-objective optimization, Discrete-event simulation
National Category
Production Engineering, Human Work Science and Ergonomics Reliability and Maintenance
Research subject
Production and Automation Engineering; VF-KDO
Identifiers
urn:nbn:se:his:diva-15064 (URN)10.1016/j.ejor.2019.08.036 (DOI)000497593000012 ()2-s2.0-85071569509 (Scopus ID)
Available from: 2018-04-16 Created: 2018-04-16 Last updated: 2023-03-02Bibliographically approved
Ruiz-Amurrio, M., Elorza, U., Linnéusson, G. & Zabaleta-Etxebarria, N. (2018). Identification of the factors which influence employee commitment using systems thinking = Identificación de factores que influyen en el compromiso de los empleados utilizando pensamiento sistemico. DYNA, 93(5), 504-511
Open this publication in new window or tab >>Identification of the factors which influence employee commitment using systems thinking = Identificación de factores que influyen en el compromiso de los empleados utilizando pensamiento sistemico
2018 (English)In: DYNA, ISSN 0012-7361, Vol. 93, no 5, p. 504-511Article in journal (Refereed) Published
Abstract [en]

In our increasingly globalised economy, managing continuous change and remaining competitive has become a central issue for organisations in the industrial sector. Building a sustainable competitive advantage through effective decision making and the use of decision making tools has been widely studied [1,2]. The success of a company will be dependent on the skills of the workers, their capacity for learning, and adapting to special and evolving client necessities. Culture change via, communication and participation are the elements of change identified for engineering companies [3]. Thus, the main objective of this research is to understand the behaviour of commitment, the variables that influence it and the variables that are influenced by it. Commitment is considered a key factor due to its influence on performance. The methodology that was followed was based on the modelling methodology proposed by Sterman [4]. The first step was the problem definition, the second step was data collection. The purpose was to define the feedback loops of which the conceptual model (CM) is composed. Thirdly, conceptual model definition was developed. As a result, the outcome that is achieved through this research is a conceptual model. The main function of this model is to facilitate the understanding of the behaviour of commitment through Systems Thinking tools. This research contributes to both Strategic Human Resource Management (SHRM) and Systems Thinking (ST) fields of study. The most notable contribution for ST is the fact of combining more than one input source (Literature + Group Model Building + prior research) for the conceptual model definition. The combination of these input sources for an ST model is not common in the scientific community. Moreover, the use of ST in SHRM is limited.

Abstract [es]

En nuestra economía cada vez más globalizada, la gestión del cambio continuo y el mantenimiento de la competitividad se ha convertido en un tema central para las organizaciones del sector industrial. La construcción de una ventaja competitiva sostenible a través de la toma de decisiones efectivas y el uso de herramientas de toma de decisiones ha sido ampliamente estudiada. El éxito de una empresa dependerá de las habilidades de los trabajadores, su capacidad para aprender y adaptarse a las necesidades especiales y cambiantes de los clientes. El cambio cultural vía, la comunicación y la participación son los elementos de cambio identificados para las empresas de ingeniería).Así, el objetivo principal de esta investigación es entender el comportamiento del compromiso, las variables que lo influyen y las variables que se ven influenciadas por él. El compromiso se considera un factor clave debido a su influencia en el rendimiento.La metodología que se siguió se basó en la metodología de modelización propuesta por. El primer paso fue la definición del problema, el segundo paso fue la recopilación de datos. El objetivo era definir los circuitos de retroalimentación que componen el modelo conceptual (MC). En tercer lugar, se desarrolló la definición del modelo conceptual. Como resultado, el resultado final que se logra a través de esta investigación es un modelo conceptual. La función principal de este modelo es facilitar la comprensión del comportamiento del compromiso a través de las herramientas de Systems Thinking.Esta investigación contribuye tanto a la Gestión Estratégica de Recursos Humanos (SHRM) como a los campos de estudio del Pensamiento de Sistemas (ST). La contribución más notable para ST es el hecho de combinar más de una fuente de entrada (Literatura + Group Model Building + investigación previa) para la definición del modelo conceptual. La combinación de estas fuentes de entrada para un modelo ST no es común en la comunidad científica. Además, el uso de ST en la SHRM es limitado.

Place, publisher, year, edition, pages
Federacion Asociaciones IIgenieros Industriales Espana, 2018
Keywords
commitment, systems thinking, group model building, strategic human resource management, Compromiso, Pensamiento de Sistemas, Construcción de Modelos de Grupo, Gestión Estratégica de Recursos Humanos
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16196 (URN)10.6036/8743 (DOI)000443506000016 ()2-s2.0-85054783533 (Scopus ID)
Note

© Engineering Journal Dyna  

Available from: 2018-09-13 Created: 2018-09-13 Last updated: 2021-01-07Bibliographically approved
Linnéusson, G., Ng, A. H. C. & Aslam, T. (2018). Quantitative analysis of a conceptual system dynamics maintenance performance model using multi-objective optimisation. Journal of Simulation, 12(2), 171-189
Open this publication in new window or tab >>Quantitative analysis of a conceptual system dynamics maintenance performance model using multi-objective optimisation
2018 (English)In: Journal of Simulation, ISSN 1747-7778, E-ISSN 1747-7786, Vol. 12, no 2, p. 171-189Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Taylor & Francis, 2018
National Category
Reliability and Maintenance Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15063 (URN)10.1080/17477778.2018.1467849 (DOI)000432552700008 ()2-s2.0-85047239919 (Scopus ID)
Available from: 2018-04-16 Created: 2018-04-16 Last updated: 2020-04-28Bibliographically approved
Linnéusson, G., Ng, A. H. C. & Aslam, T. (2018). Relating strategic time horizons and proactiveness in equipment maintenance: a simulation-based optimization study. Paper presented at 51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018. Procedia CIRP, 72, 1293-1298
Open this publication in new window or tab >>Relating strategic time horizons and proactiveness in equipment maintenance: a simulation-based optimization study
2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 1293-1298Article in journal (Refereed) Published
Abstract [en]

Identifying sustainable strategies to develop maintenance performance within the short-termism framework is indeed challenging. It requires reinforcing long-term capabilities while managing short-term requirements. This study explores differently applied time horizons when optimizing the tradeoff between conflicting objectives, in maintenance performance, which are: maximize availability, minimize maintenance costs, and minimize maintenance consequence costs. The study has applied multi-objective optimization on a maintenance performance system dynamics model that contains feedback structures that explains reactive and proactive maintenance behavior on a general level. The quantified results provide insights on how different time frames are conditional to enable more or less proactive maintenance behavior in servicing production.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
strategic development, maintenance performance, proactive maintenance, multi-objective optimization, system dynamics, simulation
National Category
Reliability and Maintenance Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15066 (URN)10.1016/j.procir.2018.03.219 (DOI)000526120800218 ()2-s2.0-85049594037 (Scopus ID)
Conference
51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018
Funder
Knowledge Foundation
Note

CC BY-NC-ND 4.0

Edited by Lihui Wang

This work was partially financed by Knowledge Foundation (KKS), Sweden, through the IPSI Research School. The authors gratefully acknowledge their provision of the research funding and the support of industrial partners, including Volvo Car Corporation and Volvo Group Trucks Operations.

Available from: 2018-04-16 Created: 2018-04-16 Last updated: 2022-07-15Bibliographically approved
Linnéusson, G. (2018). Towards strategic development of maintenance and its effects on production performance: A hybrid simulation-based optimization framework. (Doctoral dissertation). Skövde: University of Skövde
Open this publication in new window or tab >>Towards strategic development of maintenance and its effects on production performance: A hybrid simulation-based optimization framework
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Managing maintenance in manufacturing within an economical short-termism framework and taking the consequential long-term cost effects into account is hard. The increasing complexity of managing maintenance and its impact on the business results calls for more advanced methods to support long-term development through effective activities in the production system environment. This problem-based design science research has evolved into the novel concept of a hybrid simulation-based optimization (SBO) framework which integrates multi-objective optimization (MOO) with system dynamics (SD) and discrete-event simulation (DES) respectively. The objective is to support managers in their decision-making on the strategic and operational levels for prioritizing activities to develop maintenance and production performance.

To exemplify the hybrid SBO framework this research presents an SD model for the study of the dynamic behaviors of maintenance performance and costs, which aims to illuminate insights for the support of the long-term strategic development of maintenance practices. The model promotes a system view of maintenance costs that includes the dynamic consequential costs as the combined result of several interacting maintenance levels throughout the constituent feedback structures. These levels range from the applied combination of maintenance methodologies to the resulting proactiveness in production, such as the ratio between planned and unplanned downtime, in continuous change based on the rate of improvements arising from root-cause analyses of breakdowns. The model creation and validation process have been supported by two large maintenance organizations operating in the Swedish automotive industry. Experimental results show that intended changes can have both short-term and longterm consequences, and that the system may show both obvious and hidden dynamic behavioral effects.

The application of MOO distinguishes this work from previous research efforts that have mixed SD and DES. It presents a unique methodology to support more quantitative and objective-driven decision making in maintenance management, in which the outcome of an SD+MOO strategy selection process forms the basis for performance improvements on the operations level. This is achieved by framing the potential gains in operations in the DES+MOO study, as a result of the applied strategy in the SD model. All in all, this hybrid SBO framework allows pinpointing maintenance activities based on the analysis of the feedback behavior that generates less reactive load on the maintenance organization.

Place, publisher, year, edition, pages
Skövde: University of Skövde, 2018. p. 226
Series
Dissertation Series ; 21
Keywords
Strategic development, maintenance behavior, maintenance management, sustainable change, tradeoff optimization, system dynamics, discrete event simulation, problem structuring, multi-objective optimization, decision support
National Category
Reliability and Maintenance Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15036 (URN)978-91-984187-3-6 (ISBN)
Public defence
2018-04-23, Insikten, Kanikegränd 3A, Skövde, 13:15 (English)
Opponent
Supervisors
Projects
IPSI Research School
Available from: 2018-04-16 Created: 2018-04-12 Last updated: 2018-04-16Bibliographically approved
Linnéusson, G., Ng, A. H. C. & Aslam, T. (2018). Towards strategic development of maintenance and its effects on production performance by using system dynamics in the automotive industry. International Journal of Production Economics, 200, 151-169
Open this publication in new window or tab >>Towards strategic development of maintenance and its effects on production performance by using system dynamics in the automotive industry
2018 (English)In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 200, p. 151-169Article in journal (Refereed) Published
Abstract [en]

Managing maintenance within an economical short-termism framework, without considering the consequential long-term cost effect, is very common in industry. This research presents a novel conceptual system dynamics model for the study of the dynamic behaviors of maintenance performance and costs, which aims to illuminate insights for the support of the long-term, strategic development of manufacturing maintenance. By novel, we claim the model promotes a system's view of maintenance costs that include its dynamic consequential costs as the combined result of several interacting maintenance levels throughout the constituent feedback structures. These range from the applied combination of maintenance methodologies to the resulting proactiveness in production, which is based on the rate of continuous improvements arising from the root cause analyses of breakdowns. The purpose of using system dynamics is to support the investigations of the causal relationships between strategic initiatives and performance results, and to enable analyses that take into consideration the time delays between different actions, in order to support the sound formulation of policies to develop maintenance and production performances. The model construction and validation process has been supported by two large maintenance organizations operating in the Swedish automotive industry. Experimental results show that intended changes can have both short and long-term consequences, and that obvious and hidden dynamic behavioral effects, which have not been reported in the literature previously, may be in the system. We believe the model can help to illuminate the holistic value of maintenance on the one hand and support its strategic development as well as the organizational transformation into proactiveness on the other.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
Maintenance performance, Strategic development, System dynamics, Simulation
National Category
Engineering and Technology Reliability and Maintenance Other Mechanical Engineering Mechanical Engineering
Research subject
INF201 Virtual Production Development; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15002 (URN)10.1016/j.ijpe.2018.03.024 (DOI)000434889900012 ()2-s2.0-85049595658 (Scopus ID)
Projects
IPSI
Note

©2018 Elsevier B.V. All rights reserved. The RightsLink Digital Licensing and Rights Management Service (including RightsLink for Open Access) is available (A) to users of copyrighted works found at the websites of participating publishers who are seeking permissions or licenses to use those works, and (B) to authors of articles and other manuscripts who are seeking to pay author publication charges in connection with the submission of their works to publishers.

Available from: 2018-04-03 Created: 2018-04-03 Last updated: 2021-01-07Bibliographically approved
Linnéusson, G., Ng, A. H. C. & Aslam, T. (2017). Justifying Maintenance Studying System Behavior: A Multipurpose Approach Using Multi-objective Optimization. In: J. Sterman, N. Repenning (Ed.), 35th International Conference of the System Dynamics Society 2017: Cambridge, Massachusetts, USA 16 - 20 July 2017. Paper presented at 35th International Conference of the System Dynamics Society, Cambridge, Massachusetts, USA, July 16-20, 2017 (pp. 1061-1081). Curran Associates, Inc., 2
Open this publication in new window or tab >>Justifying Maintenance Studying System Behavior: A Multipurpose Approach Using Multi-objective Optimization
2017 (English)In: 35th International Conference of the System Dynamics Society 2017: Cambridge, Massachusetts, USA 16 - 20 July 2017 / [ed] J. Sterman, N. Repenning, Curran Associates, Inc., 2017, Vol. 2, p. 1061-1081Conference paper, Published paper (Refereed)
Abstract [en]

Industrial maintenance includes rich internaldynamic complexity on how to deliver value. While the technical development hasprovided with applicable solutions in terms of reliability and condition basedmonitoring, managing maintenance is still an act of balancing, trying to pleasethe short-termism from the economic requirements and simultaneously address thenecessity of strategic and long-term thinking. By presenting an analysis tojustify maintenance studying system behavior, this paper exemplifies thecontribution of the combined approach of a system dynamics maintenanceperformance model and multi-objective optimization. The paper reveals howinsights from the investigation, of the near optimal Pareto-front solutions inthe objective space, can be drawn using visualization of performance ofselected parameters. According to our analysis, there is no return back to thesingle use of system dynamics; the contribution to the analysis of exploringsystem behavior, from applying multi-objective optimization, is extensive.However, for the practical application, the combined approach is not areplacement – but a complement. Where the interpretation of the visualizedPareto-fronts strongly benefits from the understanding of the model dynamics, inwhich important nonlinearities and delays can be revealed, and thus facilitateon the selected strategical path for implementation.

Place, publisher, year, edition, pages
Curran Associates, Inc., 2017
Keywords
maintenance performance, strategic development, system dynamics, simulation, multi-objective optimization
National Category
Production Engineering, Human Work Science and Ergonomics Reliability and Maintenance
Research subject
Production and Automation Engineering; INF201 Virtual Production Development
Identifiers
urn:nbn:se:his:diva-14707 (URN)9781510851078 (ISBN)
Conference
35th International Conference of the System Dynamics Society, Cambridge, Massachusetts, USA, July 16-20, 2017
Available from: 2018-02-01 Created: 2018-02-01 Last updated: 2019-01-24Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8188-7288

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