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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorGulden, Jens
dc.contributor.authorSlagman, Sander
dc.date.accessioned2023-10-18T23:01:20Z
dc.date.available2023-10-18T23:01:20Z
dc.date.issued2023
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/45407
dc.description.abstractAfter the rise of industry 4.0, there have been major in- novation to monitor the status of production processes amongst a plethora of industries. These innovations however, have mostly been aimed at monitoring pro- cesses and machines to convey their status, efficiency and technical problems, but failed to take into account the human element of decision making based on the information presented. Therefore, this research focuses on developing a visual aid to assist operators in the decision making process when executing manual in- terventions. A deeper understanding is gained on the information required by machine operators, their men- tal representations of expected information, and the type of decision making process that is applied. Using this newly acquired knowledge, several designs for a possible solution are brought forward, and their im- plementations benefits are discussed. We have found that a solid implementation can reduce stress in ma- chine operators whilst also increasing their efficiency. Further possible advancements based on the opinions of machine operators, stakeholders and other experts are discussed, and can provide a solid basis for further research.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectDesigning a visualization tool to aid operators in decision making for manual interventions on assembly-line based processes. The research is aimed at assisting machine operators during their daily workload, where a lot of current solutions focus on monitoring. We apply an extensive design method to find the best possible solution to facilitate decision making and planning within an assembly line process.
dc.titleDesigning a visualization tool to aid operators in decision making for manual interventions on assembly-line based processes
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsHCI; Human Computer Interaction; Visual aided decision making; dashboard; effective planning;
dc.subject.courseuuHuman-Computer Interaction
dc.thesis.id25385


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