USULAN PERBAIKAN PROSES PRODUKSI FLAT BAR DENGAN METODE LEAN MANUFACTURING STUDI KASUS: PERUSAHAAN PENGOLAHAN BESI BAJA DI GRESIK
Main Authors: | Raharjo, M. Dawam, Dahda, Said Salim, Fathoni, Muhammad Zainuddin |
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Format: | Article NonPeerReviewed Book |
Bahasa: | eng |
Terbitan: |
, 2018
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Subjects: | |
Online Access: |
http://eprints.umg.ac.id/1443/1/14611020%20Muhammad%20Dawam%20Raharjo%20USULAN%20PERBAIKAN%20%20PROSES%20PRODUKSI%20FLAT%20BAR%20DENGAN%20METODE%20LEAN%20MANUFACTURING.pdf http://eprints.umg.ac.id/1443/ |
Daftar Isi:
- Steel processing company in Gresik is a company engaged in the field of Hot Rolled Steel Flat and Round Bar which is used as the main raw material for making leaves (leaf spring), at this time the company wants to increase the level of production but there are still many wastes that occur in the production line . From the above problems, how to identify waste, and propose improvements to minimize waste on flat bar products and also provide suggestions for improvements in steel processing companies. The approach used is the Lean Manufacturing approach with an understanding of the condition of the company described in the current state value stream mapping. Waste is identified with the seven waste questionnaire, then mapping in detail with VALSAT. From the results of questionnaire processing, the average value of waiting waste (4.5), defect (4.4), inapproriate processing (4.2), unnecessary motion (3.1), excessive transportation (3), unnecessary inventory (2, 8), overproduction (2,4). The average score from the questionnaire was converted into VALSAT matrix, the dominant mapping tools were obtained (148.4) process activity mapping, supply chain response matrix (76), quality filter mapping (46.2) after that obtained future state value stream mapping and FMEA which has the highest RPN value in each failure mode. The proposal is given based on the highest RPN value, namely waste waiting by doing preventive maintanance & standard parameter setting of the machine so that the waste waiting can be minimized.