A Simulation-Aided Lean Application to an Automated Production Line

dc.contributor.authorAomar, Raid Al
dc.contributor.authorAlshwailat, Areen
dc.contributor.authorAlfarraj, Aseel
dc.contributor.authorETAL..
dc.date.accessioned2022-01-07T16:38:51Z
dc.date.accessioned2023-08-20T10:57:40Z
dc.date.available2022-01-07T16:38:51Z
dc.date.available2023-08-20T10:57:40Z
dc.date.issued2020
dc.descriptionAcross industries, motivated companies tend to improve economic competitiveness by implementing up-to-date techniques to their core production and business processes. Such techniques are aimed at making core operations both effective and productive.en_US
dc.description.abstractUnlike manual assembly operations, reviewed research revealed that lean techniques have less potential when applied to automated production lines that are typically balanced with minimum human interaction. This paper explores the lean application to a fully automated production process of irrigation plastic pipes. The study first analyzes the automatic process flow, assesses its leanness, and utilizes Value Stream Mapping (VSM) and simulation to estimate its current state performance. The study then applies a set of lean techniques that are most relevant to the automated process. The impact of lean application in terms of reduced waste and losses is assessed using simulation and presented in a future state VSM. Simulation was found to be effective tool when utilized for lean application to automated processes. Results showed an overall process improvement in terms of pull strategy, product quality, and reduced changeover and the overall order lead-time.en_US
dc.identifier.citationAl-Aomar, R., Alshwailat, A., Alfarraj, A., & Odeh, T. A Simulation-Aided Lean Application to an Automated Production Line.en_US
dc.identifier.urihttps://edms.wexl.in/handle/1/2183
dc.language.isoenen_US
dc.subjectLean productionen_US
dc.subjectAutomated linesen_US
dc.subjectValue stream mappingen_US
dc.subjectSimulation modelingen_US
dc.titleA Simulation-Aided Lean Application to an Automated Production Lineen_US
dc.title.alternativeJournal articleen_US
dc.typeArticleen_US

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