Integrated modeling of “soft” and “hard” variables in manufacturing

dc.contributor.authorAfy-Shararah, Mohamed
dc.contributor.authorSalonitis, Konstantinos
dc.date.accessioned2022-08-19T10:20:16Z
dc.date.available2022-08-19T10:20:16Z
dc.date.issued2022-08-09
dc.description.abstractThis paper presents a novel holistic modeling approach for investigating and analyzing the relationship of qualitative variables such as training and absenteeism with quantifiable shopfloor key performance indicators such as quality, inventory, and production rate. Soft variables, supervisor support and work environment, and their relationships with the hard variables, facility layout, and production strategies were investigated in this research. It was found in the literature that increasing absenteeism reduces the rate of production and causes a decrease in motivation, while training can increase the level of motivation if effective. A causal loop diagram was developed based on the evidence in the literature, and a system dynamics simulation model was created to depict these relations. It was confirmed that absenteeism affected the cycle time and motivation inversely, but it was not possible to always maintain a desired level of motivation. A discrete event simulation model was also built for the current and the future state maps of the production system. The model used output from the system dynamics model as its input to investigate the effects of the qualitative variables on the production system performance. This paper discusses in detail the stages of building the simulation models and the results recorded.en_UK
dc.identifier.citationAfy-Shararah M, Salonitis K. (2022) Integrated modeling of “soft” and “hard” variables in manufacturing. The International Journal of Advanced Manufacturing Technology, Available online 9 August 2022en_UK
dc.identifier.issn0268-3768
dc.identifier.urihttps://doi.org/10.1007/s00170-022-09872-z
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18337
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectLean manufacturingen_UK
dc.subjectDigital modelingen_UK
dc.subjectCultureen_UK
dc.subjectSystem dynamicsen_UK
dc.subjectDiscrete event simulationen_UK
dc.titleIntegrated modeling of “soft” and “hard” variables in manufacturingen_UK
dc.typeArticleen_UK

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