dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Gulden, Jens | |
dc.contributor.author | Slagman, Sander | |
dc.date.accessioned | 2023-10-18T23:01:20Z | |
dc.date.available | 2023-10-18T23:01:20Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/45407 | |
dc.description.abstract | After 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.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | Designing 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.title | Designing a visualization tool to aid operators in decision making for
manual interventions on assembly-line based processes | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | HCI; Human Computer Interaction; Visual aided decision making; dashboard; effective planning; | |
dc.subject.courseuu | Human-Computer Interaction | |
dc.thesis.id | 25385 | |