Real-Time Locating System for Changeover Analysis (SMED)
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Program
Production engineering (MPPEN), MSc
Publicerad
2023
Författare
Halepalya Somashekar, Prajwal Devang
Pillai, Jaggdish
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
The emergence of novel technologies necessitates innovation to sustain competitive ness. The smart factory concept, which is at the core of the Industrial Internet of
Things (IIoT), is a derivative of industry 4.0. Real-time tracking is a crucial compo nent of intelligent manufacturing in this context. The implementation of real-time
tracking systems for diverse objects within production and warehouse settings is a
crucial control mechanism that facilitates informed decision-making for organisa tions. In instances where deviations and unforeseen alterations arise, timely and ap propriately formatted information can be provided. This thesis project investigates
the application of tracking equipment to enhance changeover analysis (SMED) using
method study based AviX software in partnership with the consulting firm Virtual
Manufacturing Sweden AB (VM). The study yielded a case report demonstrating
that the Marvelmind, a technology utilising ultrasonic sound waves and fitted onto
the operator, was capable of tracking the operator’s walking trajectory during the
changeover process. The Gazpacho tracking analysis software was subjected to test ing of its tracking data visualisation functions, which included spaghetti diagrams
and heat maps. This master’s thesis addresses the constraints, areas of growth,
and prospects pertaining to Real-Time Locating Systems (RTLS) in the context of
manufacturing.
Beskrivning
Ämne/nyckelord
changeover analysis, SMED, lean manufacturing, RTLS, Industry 4.0, Marvelmind, ultrasound