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008 160407t2015 my a f 000 0 eng d
020 _aTHE0005294(Local)
039 9 _a201905151033
_bhanafiah
_y201604070945
_zhuda
040 _aUMP
090 _aFKP .A36 2015 r Bc.
100 0 _aAina Nadia Aida Mohd Latif
245 1 _aImprovement of availability rate of overall equipment effectiveness (OEE) for CNC winding machine /
_cAina Nadia Aida Mohd Latif
260 _aKuantan, Pahang :
_bUMP,
_c2015
300 _axiii, 77 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD-ROM
500 _aFaculty of Manufacturing Engineering
502 _aProject Paper (Bachelor of Manufacturing Engineering) -- Universiti Malaysia Pahang – 2015
504 _aBibliography: p. 49-51
520 3 _aMost of manufacturers seek ways to reduce costs that associated with producing and distributing products. In order to reduce the cost, reduction of the losses is needed to improve the efficiency shop floor. High efficiency of machine needed to get higher p rofit in the global competition. A smooth production operation and lower downtime in production shows that the plant is in better management and maintenance. This research is proposed to eliminate waste in setting up CNC winding machine using lean techniques and subsequently improve the availability rate of OEE by reducing set up time. This research has conducted at BI Technologies Corporation production area which is at CNC winding area. By using overall equipment effectiveness as a tool, it is used to evaluate how effectively a manufacturing operation is utilized. The element of OEE which is availability, quality and performance. By propose a solution to company which is toimprove current SOP and using control chart to investigate the OEE data. Ishikawadiagram also apply to show the root cause from investigation the chart from variation. At the end, the control chart used again to indicate the improvement at CNC winding area. The improvement of downtime will lower down the losses of company, and have higher availability with degree of utilization of the resources available. This paper reports the results of this research, including the results of an industrial implementation.
610 2 _aFaculty of Manufacturing Engineering
_xDissertations
650 0 _aUniversities and Colleges
_xDissertations
650 0 _aTheses
999 _aVIRTUA40
_c6530
_d6536
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*9992