Machine Optimization of SNK HF Fabrication Plant in PT. Komatsu Indonesia with FMEA Method and Overall Equipment Effectiveness (OEE)

The effectiveness of a machine is an important thing in the production process; the losses that arise can cause time losses and hamper the process, especially in vital production facilities. The SNK HF machine is a machine with category A or critical with the highest damage occurring throughout 2019–2020. Analysis of the condition of the machine’s effectiveness in this study was done by using the overall equipment effectiveness (OEE) method, namely by knowing the conditions of availability, performance and quality. The results of the OEE analysis are followed by a failure mode effect analysis (FMEA) to overcome the problems that occur. The condition of machine damage and the availability of machine parts are the factors that most affect the decrease in the effectiveness of the SNK HF machine.

Risk and DoE-Based Analytical Failure Mode Effect Analysis (AFMEA) to Simultaneous Estimation of Montelukast Sodium and Bilastine by HPTLC Method Using Enhanced AQbD Approach

The fixed-dose combination (FDC) of montelukast sodium (MLS) and bilastine (BIL) is used for monotherapy in the patient with seasonal allergic rhinoconjuctivitis and asthma. According to the upcoming ICH (International Council for Harmonization) Q14 guideline, the development of the analytical method by the implementation of the Analytical Quality by Design (AQbD) approach based on principles of Quality Risk Management (QRM) and design of experiments (DoE) would be a regulatory requirement for the registration of new drug substance and product in ICH countries. Hence, a robust high-performance thin layer chromatography method has been developed, which was not previously reported for simultaneous estimation of MLS and BIL using risk and DoE-based enhanced AQbD approach. The analytical failure mode effect analysis (AFMEA) was started with the identification of potential analytical failure modes followed by their effect analysis by RPN ranking and filtering method. The DoE-based AFMEA was applied for optimization of high-risk analytical failure modes by central composite design using Design-Expert software. The method operable design ranges and control strategy was set for quality risk management throughout the lifecycle of the developed method. The developed method was validated as per ICH Q2 (R1) guideline. The method was applied for the assay of FDC, and results were found in compliance with the labeled claim.

Evaluasi Proses Bisnis Layanan Identitas Penduduk Menggunakan Quality Evaluation Framework (QEF) (Studi Kasus: Dinas Kependudukan dan Pencatatan Sipil Kabupaten Bekasi)

Dinas Kependudukan dan Pencatatan Sipil Kabupaten Bekasi mengakomodasi beberapa pelayanan dalam dokumen identitas kependudukan pada seksi identitas penduduknya. Seksi identitas penduduk menjalani tiga layanan yaitu, perekaman KTP elektronik, penerbitan surat keterangan identitas penduduk, dan penerbitan KTP elektronik. Dalam eksekusinya, proses bisnis layanan kerap terjadi ketidaksesuaian dengan target organisasi sehingga perlu adanya evaluasi. Langkah yang dilakukan untuk mengevaluasi dimulai dengan memodelkan proses bisnis menggunakan Business Process Model and Notation (BPMN), kemudian memetakan quality factor dan menentukan target serta kalkuasi sesuai dengan rumus yang ada menggunakan metode Quality Evaluation Framework (QEF) untuk mengetahui aktivitas yang mengalami ketidaksesuaian. Setelah itu, aktivitas yang mengalami ketidaksesuaian akan diidentifikasi permasalahannya menggunakan metode Failure Mode Effect Analysis (FMEA) agar dapat diketahui tingkat prioritas yang perlu menjadi perhatian utama melalui nilai Risk Priority Number (RPN). Selanjutnya digunakan analisa tulang ikan agar diketahui akar permasalahannya. Hasil dari akar permasalahan menunjukkan quality factor yang berkode Q1, Q4, dan Q8 dengan RPN 120 memiliki akar permasalahan dari aspek kategori mesin dan teknologi, pengukuran, serta metode. Sedangkan untuk quality factor berkode Q2, Q5, dan Q9 dengan RPN 36 memiliki akar permasalahan dari aspek kategori mesin dan teknologi serta material.

Implementation of Six Sigma to Minimize Reject Gusset Difference and Fold in the Blowing Process

PT. Elastis Reka Aktif including companies engaged in manufacturing made from rHDPE (recycling High Density Polyethylene). The problem that often occurs is that the achievement of the Not Good Key Point Indicator exceeds the tolerance given by management by 1%. Therefore, improvements were made using the Six Sigma method and the Failure Mode Effect Analysis method in order to get the priority of improvement targets. The first improvement proposal given to the company is for RPN 280, namely the material characteristics are not homogeneous by proposing a re-design of the silo which is in the pelletizing process and the fourth is RPN 252 where the roll takeup and winder positions are not parallel, namely by providing area boundaries in order to minimize the position not being aligned. parallel. After providing a proposal for each potential problem and socializing it to the production side, it is hoped that it can reduce the reject rate in the blowing process.

INTEGRASI FMEA DALAM PENERAPAN QUALITY CONTROL CIRCLE (QCC) UNTUK PERBAIKAN KUALITAS PROSES PRODUKSI PADA MESIN TENUN RAPIER

PT. Pajitex is one of the textile industries that produce sarongs and continues to strive to fulfill customer desires through quality sarong products. During the sarong production process, there are still various product defects that can reduce consumer confidence in the resulting sarong products. Therefore, PT. Pajitex strives to reduce the number of defects that occur in the sarong manufacturing process by exploring various causes of defects. The purpose of this study was to analyze the defective edge on the CR3082 plate using the Quality Control Circle (QCC) method. The QCC method is a quality control system through the 8-step method with a continuous improvement system. At the defect search stage, use quality control tools such as Pareto diagrams and fishbone diagrams, and use the Failure Mode Effect Analysis (FMEA) method to obtain the highest RPN value which is a priority in the improvement proposal, and in determining the improvement proposal using the PDCA Methods. Based on the results of the analysis obtained, the cutter cutting and the needling process are not perfect and the tuck-in setting is not precise has the highest RPN value, which is equal to 120, so this activity needs to be monitored and followed up

Peningkatan Produktivitas Leaf Spring Jenis Minicup Tipe MMS 2230 dengan Mengurangi Pemborosan Proses Produksi Melalui Penerapan Metode Lean Manufacturing

PT. Indospring is a manufacturing company that produces various springs for an automotive. Among those various springs, MSM 2230 type is the most produced spring at the company. The big problem in producing the spring was related with the high waste that had impact on the low productivity. The purpose of study was to analyze the waste by using the concept of lean manufacturing particularly to identify and eliminate nonvalue added activities. The study found that there were various wastes which waiting and excessive transportation were two dominant wastes with the contribution to total of wastes at 28.96% and 18.52% respectively. The appropriate tool for further analysis on wastes was selected by using value stream mapping analysis (VALSAT), and process activity mapping (PAM) was the best tool for analyzing wastes more profoundly. The use of PAM and other tools of fishbone diagram and failure mode effect analysis (FMEA) provided important information for improvement. The implementation of improvement displayed potential increase of productivity level by reducing the processing time of the spring from 113,926.83 minutes to 75,960 minutes