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020 _aTHE0009690 (Local)
_qHardback
040 _aUMP
_beng
_cUMP
_erda
090 _aFTKPM .R33 2023 r Thesis
100 1 _aRabiatul Syuhada Binti Hasan,
_eauthor.
245 1 0 _aWaste assessment model for hot coil spring production using lean approach /
_cRabiatul Syuhada Binti Hasan
264 1 _aKuantan, Pahang :
_bUMP,
_c2023
264 4 _c©2023
300 _ax, 95 pages :
_billustrations (some color) ;
_c30 cm. +
_e1 CD ROM
336 _2rdacontent
_atext
336 _2rdacontent
_atext
337 _2rdamedia
_aunmediated
337 _2rdamedia
_acomputer
338 _2rdacarrier
_avolume
338 _2rdacarrier
_acomputer disc
347 _2rda
_atext file
_bPDF
500 _aFaculty of Manufacturing and Mechatronic Engineering Technology
502 _aThesis (Master of Science) -- Universiti Malaysia Pahang – 2023
504 _aIncludes bibliographical references
520 3 _aLean manufacturing is a systematic methodology to minimize waste while maximizing resource utilization which helps businesses become more effective and competitive in the marketplace. Lean manufacturing is about the enthusiasm for waste elimination. Any business can remain competitive if it is flexible enough to improve its manufacturing process continuously and systematically by eliminating waste, optimizing processes, and cutting unnecessary costs. However, most of the companies has limited source and not been provided with the optimum way to implement lean manufacturing and eliminate waste. This research aims to explore wastage assessment methods that have been used to implement lean manufacturing across all manufacturing sectors like automotive, electronics, plastic, textile, food, dairy, even services. Specifically, it investigates the most common lean tools to be utilized and their impact on an organization’s performance. In this context, a field observation was conducted and actual operation data was obtained for data collection and analysis. Field observation was deployed by identifying types of waste that occurred in the production line by using the Value Stream Mapping (VSM) method. The outcome results suggest that there are three most critical types of waste; reject, rework and cycle time waste. Furthermore, the findings also lead the organization to identify waste, translate the waste to cost and provide guidance for future improvement activities.
610 2 0 _aFaculty of Manufacturing and Mechatronic Engineering Technology
_xDissertations
650 0 _aUniversities and colleges
_xDissertations
650 0 _aTheses
942 _2lcc
_cTHESIS