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STRATEGI PENINGKATAN KUALITAS PRODUK KEMASAN AMDK BERBASIS METODE SIX SIGMA DAN QFD Resma Dwi Santika; Lithrone Laricha Salomon; Carla Olyvia Doaly
Jurnal Ilmiah Teknik Industri Vol. 13 No. 2 (2025): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/6kjgmm72

Abstract

Increasingly fierce industrial competition requires companies to continuously improve the quality of their products to meet customer expectations and maintain competitiveness. This research was conducted at PT XYZ, a manufacturing company that produces Bottled Drinking Water (AMDK), with a focus on cup packaging products. The purpose of this research is to identify the types and causes of product defects, and formulate a quality improvement strategy using the Six Sigma method based on the DMAIC (Define, Measure, Analyze, Improve, Control) and Quality Function Deployment (QFD) approaches. The observation results show that the dominant types of defects are frosted cups, mushy cups, striped cups, and cup sizes that exceed the standard. The Defect per Million Opportunities (DPMO) calculation shows a value of 5.755 with a sigma level of 4, which means that the production process still requires significant improvement to achieve the Six Sigma target. Through the QFD stage, customer requirements are translated into technical characteristics that form the basis for the development of the House of Quality (HoQ). The results of this study provide a quality improvement strategy that is more structured and oriented to customer needs, and can be used as a reference for continuous improvement in the mineral water industry.
PENGUKURAN KEY PERFORMANCE INDICATOR SISTEM MANAJEMEN GUDANG DI PERUSAHAAN LOGISTIK Hendrawan Suryajaya; Wilson Kosasih; Carla Olyvia Doaly; Lithrone Laricha Salomon
Jurnal Ilmiah Teknik Industri Vol. 13 No. 2 (2025): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/3eem4g52

Abstract

Many sellers of goods through digital platforms (marketplaces) do not have large storage space, so currently logistics companies also provide warehouse services to store goods from these sellers. A good warehouse management system (WMS) must be able to flow goods from input to output effectively and efficiently. Many logistics companies have yet to comprehensively measure key performance indicators (KPIs) for their WMS due to the perception that measurement is difficult and should only be performed by experts. This study aims to design and measure the KPIs of a WMS. This study uses a case study approach in a logistics company that has a storage area for various types of goods from sellers. Data were collected through literature studies, observations, and interviews. The methods used were the Analytical Hierarchy Process (AHP) and Snorm De Boer. The results show that three KPIs fall into the poor category, including: putaway per man-hour, % location and cube occupied, and order lines picked per man-hour. The company needs to create a structured system for storing goods based on their type, set standard storage time limits or even increase storage capacity, and also need to monitor the smooth flow of goods. In the end, it is hoped that all proposed KPIs can be measured periodically for continuous improvement.
USULAN PERBAIKAN KUALITAS PRODUKSI LEM MENGGUNAKAN PENDEKATAN LEAN SIX SIGMA DAN POKA-YOKE DI PT LIGNO SPECIALITY ADHESIVE Whilly Abdullah Wicaksono; Ahmad; Carla Olyvia Doaly
Jurnal Mitra Teknik Industri Vol. 5 No. 2 (2026): Jurnal Mitra Teknik Industri
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmti.v5i2.39033

Abstract

Manufacturing companies in Indonesia consistently show dynamic development from year to year. PT Ligno Specialty, a manufacturing company, has issues in its production process that are causing an increase in defect rates. This research aims to reduce the defect rate of the LA 232 A adhesive product at PT Ligno Specialty Adhesive thru the application of the Lean Six Sigma method with the DMAIC framework and the design of Poka-Yoke mechanisms. Production data for the year 2025 shows a total defect of 5,970 kg out of 91,703 kg of production, with a DPU value of 0.0651, a DPMO of 16,275, and a sigma level of 3. These results indicate that the process quality is still at the industry average level. Root cause analysis shows the dominance of human error, such as material weighing mistakes and non-compliance with production flow. The proposed improvements include the implementation of the Poka-Yoke system at critical points in the process and Lean Six Sigma-based quality control. To reduce the defect rate, the research suggests improvements thru the Poka-Yoke approach. The proposed solutions include the addition of a flow meter on the water tap for measurement accuracy, the provision of a quarantine area for weighed materials to prevent mixing, and the implementation of a production check sheet that must be filled out by operators and supervised by a supervisor. It is expected to improve production yield and reduce the Cost of Poor Quality (COPQ).
INTEGRASI FMECA DAN DISTRIBUSI WEIBULL DALAM PEMETAAN RISIKO KEGAGALAN UNIT HORIZONTAL DRYER Viriya Toti; Lithrone Salomon; Carla Olyvia Doaly
Jurnal Mitra Teknik Industri Vol. 5 No. 2 (2026): Jurnal Mitra Teknik Industri
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmti.v5i2.39037

Abstract

The research was conducted at a PET plastic recycling manufacturing company, specifically focusing on the Horizontal Dryer unit which frequently experiences operational failures. The primary issue lies in a high breakdown frequency of 11 occurrences, with downtime durations reaching up to 480 minutes due to material overload conditions that trigger motor current surges during the period of July 2025 to April 2026. This study aims to evaluate the machine's failure characteristics by integrating Overall Equipment Effectiveness (OEE), Failure Mode Effects and Criticality Analysis (FMECA), and Weibull Distribution methods. The calculation results show an average OEE value of 79.89%, where performance efficiency is identified as the main factor for low productivity. Based on the FMECA analysis, the blade component within the main shaft system was identified as the most critical component with the highest risk priority number of 405. Through Weibull statistical modeling, it was found that the failure rate characteristics of this critical component are in the wear-out phase. These findings provide a scientific basis for the company to establish maintenance priorities to minimize the risk of recurring failures in the future.