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Linnéusson, G., Ng, A. H. C. & Aslam, T. (2018). A hybrid simulation-based optimization framework for supporting strategic maintenance to improve production performance. European Journal of Operational Research
Open this publication in new window or tab >>A hybrid simulation-based optimization framework for supporting strategic maintenance to improve production performance
2018 (English)In: European Journal of Operational Research, ISSN 0377-2217, E-ISSN 1872-6860Article in journal (Refereed) Submitted
National Category
Production Engineering, Human Work Science and Ergonomics Reliability and Maintenance
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15064 (URN)
Available from: 2018-04-16 Created: 2018-04-16 Last updated: 2019-03-19Bibliographically 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)
Available from: 2018-09-13 Created: 2018-09-13 Last updated: 2018-12-28Bibliographically 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
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: 2018-10-04Bibliographically 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)2-s2.0-85049594037 (Scopus ID)
Conference
51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018
Available from: 2018-04-16 Created: 2018-04-16 Last updated: 2018-10-31Bibliographically 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.

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 ()
Projects
IPSI
Available from: 2018-04-03 Created: 2018-04-03 Last updated: 2018-07-06Bibliographically 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
Linnéusson, G., Galar, D. & Wickelgren, M. (2016). In Need for Better Maintenance Cost Modelling to Support the Partnership with Manufacturing (1ed.). In: Uday Kumar, Alireza Ahmadi, Ajit Kumar Verma & Prabhakar Varde (Ed.), Uday Kumar, Alireza Ahmadi, Ajit Kumar Verma & Prabhakar Varde (Ed.), Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective. Paper presented at 3rd International Conference on Reliability Safety and Hazard Conference (ICREsh-ARMS), Luleå University of Technology, 1 June - 4 June, 2015 (pp. 263-282). Springer
Open this publication in new window or tab >>In Need for Better Maintenance Cost Modelling to Support the Partnership with Manufacturing
2016 (English)In: Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective / [ed] Uday Kumar, Alireza Ahmadi, Ajit Kumar Verma & Prabhakar Varde, Springer, 2016, 1, p. 263-282Conference paper, Published paper (Other academic)
Abstract [en]

The problem of maintenance consequential costs has to be dealt with in manufacturing and is core of this paper. The need of sustainable partnership between manufacturing and maintenance is addressed. Stuck in a best practice thinking, applying negotiation as a method based on power statements in the service level agreement, the common best possible achievable goal is put on risk. Instead, it may enforce narrow minded sub optimized thinking even though not intended so. Unfortunately, the state of origin is not straightforward business. Present maintenance cost modelling is approached, however limits to its ability to address the dynamic complexity of production flows are acknowledged. The practical problem to deal with is units put together in production flows; in which downtime in any unit may or may not result in decreased throughput depending on its set up. In this environment accounting consequential costs is a conundrum and a way forward is suggested. One major aspect in the matter is the inevitable need of shift in mind, from perspective thinking in maintenance and manufacturing respectively towards shared perspectives, nourishing an advantageous sustainable partnership.

Place, publisher, year, edition, pages
Springer, 2016 Edition: 1
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356
Keywords
Maintenance, Cost modelling, Consequential costs, Manufacturing, Production flows, Dynamic complexity, Sustainable partnership, Shift in mind
National Category
Other Engineering and Technologies not elsewhere specified Social Sciences Interdisciplinary
Research subject
Technology; Humanities and Social sciences; Production and Automation Engineering; Followership and Organizational Resilience
Identifiers
urn:nbn:se:his:diva-11619 (URN)10.1007/978-3-319-23597-4_20 (DOI)2-s2.0-85043763107 (Scopus ID)978-3-319-23596-7 (ISBN)978-3-319-23597-4 (ISBN)
Conference
3rd International Conference on Reliability Safety and Hazard Conference (ICREsh-ARMS), Luleå University of Technology, 1 June - 4 June, 2015
Available from: 2015-10-20 Created: 2015-10-20 Last updated: 2018-05-07Bibliographically approved
Linnéusson, G., Ng, A. & Aslam, T. (2016). Investigating Maintenance Performance: A Simulation Study. In: Proceedings of the 7th Swedish Production Symposium: . Paper presented at 7th Swedish Production Symposium, Lund, Sweden, October 25-27, 2016.
Open this publication in new window or tab >>Investigating Maintenance Performance: A Simulation Study
2016 (English)In: Proceedings of the 7th Swedish Production Symposium, 2016Conference paper, Published paper (Refereed)
Abstract [en]

Maintenance can be performed in multiple procedures, and it is hard to justify investments in preventive work. It is a complex equation between the inherent complexity of maintenance and its tight dependencies with production, but also the aspect of direct cost and consequential costs from activities. A model is presented that quantify dynamics of maintenance performance in order to enable a systems analysis on the total of consequences from different strategies. Simulation offers experimenting and learning on how performance is generated. The model is based on parts of previous research on maintenance modelling, system dynamics, maintenance theory, and mapping of practical information flows in maintenance. Two experiments are presented that both take off from a reactive strategy of maintenance performance, and implement two different strategies for preventive maintenance. Using the model enriches the analysis on how the aspects of maintenance performance work together with different maintenance strategies.

Keywords
maintenance strategy, maintenance performance management, system dynamics
National Category
Reliability and Maintenance
Research subject
Technology; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-13078 (URN)
Conference
7th Swedish Production Symposium, Lund, Sweden, October 25-27, 2016
Available from: 2016-11-07 Created: 2016-11-07 Last updated: 2018-03-28Bibliographically approved
Linnéusson, G., Galar, D. & Wickelgren, M. (2015). A path forward: Systems thinking maintenance as part of shift in mind on added value. In: Sulo Lahdelma & Kari Palokangas (Ed.), : . Paper presented at International Conference on Maintenance, Condition Monitoring and Diagnostics, and Maintenance Performance Measurement and Management, MCDM 2015 and MPMM 2015, 30th September - 1st October 2015, Oulu, Finland.
Open this publication in new window or tab >>A path forward: Systems thinking maintenance as part of shift in mind on added value
2015 (English)In: / [ed] Sulo Lahdelma & Kari Palokangas, 2015Conference paper, Published paper (Refereed)
Abstract [en]

Abstract: The purpose and novelty with this recently started research is the introduction of a modelling concept that aims to include the interdependencies maintenance have with financial figures, customer behavior, and production, using systems thinking. It suggests on a path forward in acknowledging short- and long term effects from maintenance on the production system and its financial results. Using systems thinking modelling enables learning on consequences from strategies and policies on the studied system; enabling evaluation of future scenarios supporting decision makers in defining sustainable strategies of action on the policy-level. This paper provides a brief outline of the thoughts behind the research project and points the direction for future research by first introducing aspects regarding the problem and possibilities to address, then briefly introduce different modelling approaches that in part address the problem, which is summarized into a path forward, and finally includes an example of a model by the author of a machine strategy problem that connects the physical assets and actions with financial costs.

Keywords
Proactive maintenance, strategy, management, systems thinking, cost, value
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Technology; Production and Automation Engineering; Followership and Organizational Resilience
Identifiers
urn:nbn:se:his:diva-11578 (URN)978-951-98113-7-6 (ISBN)
Conference
International Conference on Maintenance, Condition Monitoring and Diagnostics, and Maintenance Performance Measurement and Management, MCDM 2015 and MPMM 2015, 30th September - 1st October 2015, Oulu, Finland
Available from: 2015-10-02 Created: 2015-10-02 Last updated: 2018-03-29Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8188-7288

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