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All Journal Jurnal Teknologi Industri Pertanian OPSI Jurnal Optimasi Sistem Industri OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal Syntax Transformation JURNAL TEKNIK INDUSTRI Jurnal Pengabdian Masyarakat dan aplikasi Teknologi
Rina Fitriana
Department Of Industrial Engineering, Faculty Of Industrial Technology, Universitas Trisakti
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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Journal : OPERATION EXCELLENCE: Journal of Applied Industrial Engineering

 1 
Quality Improvement of NH1X36B Pre-Printed Box with QM-CRISP DM Approach at PT X Anik Nur Habyba; Rina Fitriana; Tania Theodora
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 3, (2021): OE November 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i3.028

Abstract

PT X is a manufacturer of cardboard box whose products are indispensable for various fields. The problem identified in NH1X36B pre-printed box, which is a shoes box, is the high defect rate that exceed company target of 2%. This study aims to reduce the defect rate of the product. The Quality-Management (QM) and Cross Industry Standard Process for Data Mining (CRISP-DM) approach was conducted by integrating Six Sigma and data mining. The Business Understanding phase was intended to define business and data mining objectives, SIPOC (Supplier-Input-Process-Output-Customer) diagram, and Critical-to-Quality (CTQ). In Data Understanding phase, it is known that the Defects Per Million Opportunities (DPMO) value is 1210.12. Data preparation phase was carried out with data cleaning, reduction, and discretization. Based on the Modeling result using Decision Tree C4.5 and FP-Growth algorithm, it is known that the dominant attributes causing high rejection are smeared ink, white spots, uneven varnish, and delamination. Decision Tree model accuracy of 90.24% indicates that the model is performing well. Analysis using FMEA yielded priority correction to the causes of smeared ink, uneven varnish, and delamination. Process improvement in Deployment phase was the application of plate cleaning and mounting form, printing process checklist, and SOP for sheet inspection. The improvement plans managed to improve the quality by rising sigma level from 4.533 to 4.648 sigma and decrease defect rate to 1.559%.
Quality improvement of DB-CDP with integration of CRISP-DM and six sigma method Alfiandi, Ahmad; S.D, Triwulandari; Fitriana, Rina
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.126

Abstract

The DB-Customer Display Product (CDP) is a product that has a high level of defects with the type of attribute that the display light is off. The quality improvement is carried out using the integration of the Cross-Industry Standard Process Data mining (CRISP-DM) method with Six Sigma. The technique using classification technique with the CART algorithm to identify the leading causes of defects in the CDP and association processes using the Frequent Pattern-Growth Algorithm to make association rules between the combination of production support data sets. The results of both algorithms known attributes that cause high rejects are poor solder and solder Short. Implementation of proposed improvements made at the deployment stage, there are work instructions for re-soldering, tip checking forms, and Standard Operating Procedures for solder tip replacement. The result from implementation, was decrease in the value of Defects per unit to 0.0541, where previously it was worth 0.0628, and the value of Defects per million Opportunities decreased from 32.636 to 27.020, and converted into sigma level and obtained sigma value 3.80, before the implementation was at 3.74 sigma. The three indicators of DPU, DPMO, and Sigma level indicate that the proposed quality improvement is successful.
Co-Authors Adisuwiryo, Sucipto Adisuwiryo Alfiandi, Ahmad Amal Witonohadi Anak Agung Istri Sri Wiadnyani Annisa Tri Wahyuni Daisman Aji Debby Kumala Sari Dedy Sugiarto Dedy Sugiarto Dian Mardi Safitri Habyba, Anik Nur Harahap, Elfira Febriani Harahap Jaquline Glenadys Siregar Lydia Sari Mareta, Sannia Miwan Kurniawan Hidayat Miwan Kurniawan Hidayat Nabiha, Gina Almas Nurachman, Nurochman Ratna Mira Yojana Resty Ayu Ramadhani S.D, Triwulandari Tania Theodora Taufik Djatna Triwulandari Satitidjati Dewayana Yun-Chia Liang Yunia Ningsih Yusri Eli Hotman Turnip