2009 IEEE International Conference on Industrial Engineering and Engineering Management 2009
DOI: 10.1109/ieem.2009.5373164
|View full text |Cite
|
Sign up to set email alerts
|

Integrating human behaviour into factory simulation- a feasibility study

Abstract: As the environment of manufacturing enterprises is becoming more complex and dynamic this requires powerful tools for the support of decisions in manufacturing and production planning. Simulation as one of those tools has been widely applied in manufacturing and logistics. However, the models used for simulation are incomplete because the human factor in terms of its decision making and behaviour is considered only rudimentary. This leads to suboptimal decisions and to a gap when implementing solutions in prac… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
10
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 7 publications
(10 citation statements)
references
References 12 publications
0
10
0
Order By: Relevance
“…In most existing DEDS production models, workers are treated more or less in a mechanistic way, having such attributes as availabilities and skills for the assignment of tasks. Human decision processes and the behavior of workers have not been integrated so far into simulation (Riedel, Mueller, von der Weth, & Pflugradt, ). There have been some approaches for the consideration of humans in the design of manufacturing processes.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…In most existing DEDS production models, workers are treated more or less in a mechanistic way, having such attributes as availabilities and skills for the assignment of tasks. Human decision processes and the behavior of workers have not been integrated so far into simulation (Riedel, Mueller, von der Weth, & Pflugradt, ). There have been some approaches for the consideration of humans in the design of manufacturing processes.…”
Section: Related Workmentioning
confidence: 99%
“…Van der Zee () proposed a framework for simulation modeling that explicitly represents control structures in terms of intelligent agents, their activities, and their relationships. Riedel, Mueller, von der Weth, and Pflugradt () presented an approach for enriching the common simulation models with need‐controlled human agents. Seven typical settings, such as ramp‐up curves and learning effects, were tested.…”
Section: Related Workmentioning
confidence: 99%
“…At the moment a real production system in a laboratory setting is planned which should serve as benchmark towards the prognoses of an also more sophisticated simulation model. A first simulation based upon the model produced plausible results about fictitious workers´ behavior in a production system [32] and proofed the feasibility of the approach. Planned experiments will lead to insights on how certain configurations of production systems and workers with specific prerequisites influence the readiness for problem solving activities.…”
Section: Discussionmentioning
confidence: 70%
“…Finally, one example is presented of the use of a cognitive model of human behaviour. Riedel et al (2009) modelled human competence based on the PSI theory (Detje and Kunzel, 2003). Task performance in modelled over time showing how competence oscillates dependent on experienced success and failure at a new task.…”
Section: Resultsmentioning
confidence: 99%
“…Articles reporting on the use of DES to model people’s behaviour (2005-2017): Ajaefobi et al (2010) Brailsford et al (2012) Colombi and Ward (2010) Dode et al (2016) Dubiel and Tsimhoni (2005) Elliman et al (2005) Hannah and Neal (2014) Ilar (2008) Kazmierczak et al (2007) Khalil and Weston (2009) Knight et al (2012) Kokkinou and Cranage (2011) Kozine (2007) Lassila et al (2005) Majid and Herawan (2013) Malachowski and Korytkowski (2016) Mason et al (2005) McHaney (2008) Nehme et al (2008) Nembhard (2014) Neumann and Medbo (2009) Neumann and Medbo (2017) Perez et al (2014) Plott (2006) Riedel et al (2009) Robinson (2015) Shewchuk et al (2017) Silva et al (2014) Wang et al (2013)…”
Section: Methodsmentioning
confidence: 99%