Model development in discrete-event simulation and system dynamics: An empirical study of expert modellers

Tako, Antuela A.; Robinson, Stewart

doi:10.1016/j.ejor.2010.05.011

Cited by 74 publications

(54 citation statements)

References 21 publications

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“…From a BOR perspective, OR actors are thus an obvious unit of analysis and point of entry into the field. Currently, there a number of studies that focus on particular types of actors such as expert or novice modellers (Tako & Robinson, 2010;Tavella & Papadopoulos, 2015;Willemain, 1994Willemain, , 1995Willemain & Powell, 2007), but there is still little work examining how other types of OR actors contribute to shape OR-supported processes, with few exceptions (e.g. O'Brien, 2015;Ormerod, 2014).…”

Section: Or Actors or Praxis And Or Methodsmentioning

confidence: 99%

Behavioural operational research: Returning to the roots of the OR profession

Franco

Hämäläinen

2016

European Journal of Operational Research

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Section: Or Actors or Praxis And Or Methodsmentioning

confidence: 99%

Behavioural operational research: Returning to the roots of the OR profession

Franco

Hämäläinen

2016

European Journal of Operational Research

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“…whether similar results are found with other simulation approaches such as discrete-event or agent based simulation, particularly due to the differences in approaches by system dynamics and discrete-event simulation modellers. (See, for example, Tako & Robinson (2010), and Tako & Robinson (2009).) It would therefore be interesting to investigate whether different methodologies and consultant approaches have an impact on clients' Critical Learning Incidents.…”

Section: Limitation Of Research and Opportunities For Future Researchmentioning

confidence: 99%

Critical Learning Incidents in system dynamics modelling engagements

Thompson

Howick

Belton

2016

European Journal of Operational Research

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This paper reports in-depth behavioural operational research to explore how individual clients learned to resolve dynamically complex problems in system dynamics model-based engagements. Consultant-client dyads were interviewed in ten system dynamics consulting engagements to identify individual clients' Critical Learning Incidents-defined as the moment of surprise caused after one's mental model produces unexpected failure and a change in one's mental model produces the desired result. The cases are reprised from interviews and include assessments of the nature of the engagement problem, the form of system dynamics model, and the methods employed by consultants during each phase of the engagement. Reported Critical Learning Incidents are noted by engagement phase and consulting method, and constructivist learning theory is used to describe a pattern of learning.Outcomes of the research include describing the role of different methods applied in engagement phases (for example, the role of concept models to commence problem identification and to introduce iconography and jargon to the engagement participants), how model form associates with timings of Critical Learning Incidents, and the role of social mediation and negotiation in the learning process. Highlights Identifies clients' Critical Learning Incidents by system dynamics engagement activity  In-depth analyses of interviews from client-consultant dyads  Maps learning incidents to prescriptive or predictive model-based engagement phases  Ten system dynamics consulting case studies  Applies constructivist learning theory to complex consulting environments

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“…Simulation is a simplified system representation, made and understood by a specialist, who intends to identify its potentials improvements (TAKO; ROBINSON, 2010).…”

Section: Discrete Event Simulationmentioning

confidence: 99%

<b>Using discrete event simulation to change from a functional layout to a cellular layout in an auto parts industry

et al. 2015

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ABSTRACT. This paper presents a discrete event simulation employed in a Brazilian automotive company. There was a huge waste caused by one family scrap. It was believed one reason was the company functional layout. In this case, changing from current to cellular layout, employee synergy and knowledge about this family would increase. Due to the complexity for dimensioning a new cellular layout, mainly because of batch size and client's demand variation. In this case, discrete event simulation was used, which made possible to introduce those effects improving accuracy in final results. This accuracy will be shown by comparing results obtained with simulation and without it (as company used to do). To conclude, cellular layout was responsible for increasing 15% of productivity, reducing lead-time in 7 days and scrap in 15% for this family.Keywords: productivity, efficiency, scrap, lead-time.Utilização da simulação de eventos discretos para alterar o leiaute funcional em celular em uma empresa de auto peças RESUMO. O presente artigo apresenta um projeto de simulação de eventos discretos realizado em uma empresa do setor automotivo do Brasil. Nela existia uma grande perda em decorrência do índice de refugo elevado de uma família de produtos. Acreditava-se que um dos motivos era a organização funcional do leiaute, pois os funcionários não ficavam especializados em um tipo de produto. Portanto, se o leiaute fosse alterado para o celular, a sinergia dos funcionários e a especialização em um determinado produto seriam maiores. Devido à complexidade no dimensionamento da célula, principalmente pela variação no tamanho do lote de produção e na demanda do cliente, foi utilizada a simulação, possibilitando introduzir essas variações no modelo computacional, tornando o resultado do estudo mais preciso. Por fim, com a criação da célula a empresa aumentou em 15% a produtividade, reduzindo 7 dias do seu tempo de atravessamento e 15% do seu refugo.Palavras-chave: produtividade, eficiência, refugo, tempo de atravessamento.

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Model development in discrete-event simulation and system dynamics: An empirical study of expert modellers

Cited by 74 publications

References 21 publications

Behavioural operational research: Returning to the roots of the OR profession

Behavioural operational research: Returning to the roots of the OR profession

Critical Learning Incidents in system dynamics modelling engagements

<b>Using discrete event simulation to change from a functional layout to a cellular layout in an auto parts industry

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