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EVALUASI AKTIV ITAS KA/ZEN DALAM PENERAPAN STATISTICAL PROCESS CONTROL PADA PROSES PENGELASAN SERTA PEMAKAIAN JAM ORANG DI DEPARTEMEN GENERAL ENGINEERING PT PAL INDONESIA
Author(s) -
Andre Dwijanto Witjaksono
Publication year - 2017
Publication title -
ekuitas
Language(s) - English
Resource type - Journals
eISSN - 2548-5024
pISSN - 1411-0393
DOI - 10.24034/j25485024.y2004.v8.i1.2028
Subject(s) - welding , mechanical engineering , research object , process (computing) , engineering , computer science , automotive engineering , manufacturing engineering , engineering drawing , materials science , business administration , operating system , business
This research was a case study that evaluated of Katzen activity, in welding process and utilization of man hour. The observation was located in PT PAL Indonesia, Ujung, Surabaya.This research contains of four observations, these are: evaluating the length of stator fram e product, welding process between rib and web plate, welding process between web plate and web plate, and utilization of man hour. Thefirst observation was using X Bar & R control chart, while the second observation using u control chart.  The third observation using design of experiment, with independent variable to be analyze was welder, welding object, and interaction between welder and welding object, with dependent variable was spatter defect. Thefourth observation was doing to evaluated the succedeed of implementation kaizen in utilization of man hour, with t-test.The yield of calculation has been obtained with using Minitab 11.12 and SPSS 9.0 software, and the significant rate ex:: 0,05, was showed that: First, the process was in statistically  control,  but  the process  capability  should  be rised  because  the process capability less than 1 (C = 0.53, Cpk  = CPL = 0.37). Second, although the welding process was in statistically control, the process capability also need to be increased, because the spatter defect that produced is 53 %. Third, analysis of varians shows that from   the  design  of  experiment,  all  of  three  independent  variables,  was  influences significantly on welding of defect. The biggest one was welder factor. Fourth, the utilization of man hour for repair work (defect work ratio) on the first sampling, have higher significantly than the second sampling. This means that on the second sampling (latest sampling), repair work rate could be decreased.

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