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Implementasi Value Stream Mapping dan Value Stream Analysis Untuk Meminimalisir Pemborosan Waktu Pendistribusian di PT. Nur Jaya Energi Berliana Dian Novitasari; Rochmoeljati Rochmoeljati
JUMINTEN Vol 2 No 6 (2021): Juminten: Jurnal Manajemen Industri dan Teknologi
Publisher : UPN Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (819.885 KB) | DOI: 10.33005/juminten.v2i6.336

Abstract

Nur Jaya Energi adalah perusahaan non-manufaktur yang mengkhususkan diri pada logistik transportasi. PT Nur Jaya Energi ingin mengurangi pemborosan terkait distribusi untuk meningkatkan pendapatan bersih lebih besar dan tetap kompetitif di pasar. Mengidentifikasi dan mengurangi pemborosan dalam proses distribusi bahan bakar minyak adalah tujuan riset ini. Pendekatan “Failure Mode dan Effect Analysis (FMEA)” dan tools value stream mapping dipakai pada riset ini. Berdasarkan hasil riset dalam value stream mapping penelitian menunjukkan pengurangan waktu dari 590 menjadi 510 menit. Menurut FMEA, akar penyebab masalah pada pemborosan terbesar yang diketahui ialah terjadinya kesalahan operator dan pengaturan mesin yang salah dengan prosedur. Rekomendasi perbaikan yang dapat diusulkan yaitu melakukan koordinasi antara perusahaan saat terjadi kerusakan pompa agar tidak terjadi bottleneck berkepanjangan yang dapat memperlambat waktu pengiriman.
Pengendalian Kualitas Pengelasan Menggunakan Metode Statistical Quality Control (SQC) dan Failure Mode Effect Analysis (FMEA) di PT. PAL Indonesia Nafa Artha Cahaya Mulia; Rochmoeljati Rochmoeljati
JUMINTEN Vol 2 No 6 (2021): Juminten: Jurnal Manajemen Industri dan Teknologi
Publisher : UPN Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (594.49 KB) | DOI: 10.33005/juminten.v2i6.346

Abstract

PT. PAL Indonesia merupakan sebuah perusahaan galangan kapal terbesar di Indonesia. Hasil produksi perusahaan adalah pembuatan kapal dan perancangan kapal berdasarkan permintaan konsumen. Pada proses produksi kapal BRS W-303 masih ditemukan cacat saat pengelasan seperti incomplete penetration, incomplete fusion, slag inclusion, dan porosity yang mempengaruhi kualitas. Tujuan dari penelitian ini adalah untuk mengetahui persentase kecacatan yang paling dominan dan faktor penyebab cacat serta memberikan usulan tindakan perbaikan kualitas pengelasan. Metode yang digunakan adalah Statistical Quality Control (SQC) dan Failure Mode Effect Analysis (FMEA). Alat bantu SQC yakni check sheet, stratifikasi, histogram, diagram pareto, scatter diagram, peta kendali atribut, dan diagram sebab akibat. Kemudian melanjutkan analisis FMEA berdasarkan diagram sebab akibat untuk usulan tindakan perbaikan. Berdasarkan hasil penelitian pada Statistical Quality Control (SQC) diketahui cacat pengelasan kapal yang paling dominan adalah incomplete penetration (32,81%), lalu incomplete fusion (25,47%), slag inlclusion (23,26%), dan porosity (18,36%). Berdasarkan hasil penelitian pada Failure Mode Effect Analysis (FMEA) diketahui akar penyebab masalah tertinggi dengan RPN 288 adalah penetapan root gap terlalu kecil/sempit. Rekomendasi perbaikan yang dapat diusulkan yaitu menegaskan kepada welder untuk wajib membaca dan memahami WPS yang digunakan untuk mengelas dengan benar.
Sales Forecasting Analysis of Sea Snack at PD. Adi Anugrah Food Industry Zella Azzahra Achmadani; R. Rochmoeljati
Nusantara Science and Technology Proceedings 2nd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Covid-19 pandemic affects the industry players. The manufacturing industry, the culinary industry, and other industries face the hardship of running their business. The pandemic has seriously impacted the prospects for selling products and services. Sales that are classified as increasing and decreasing cause a lack of material preparation and prediction of needs. PD. Adi Anugrah Food Industry experienced erratic sales and lacked preparation in raw materials and other requirements. In this study, an analysis of sales forecasting of snacks made from sea juice was carried out. Sales forecasting is carried out during the period January – December 2020. The estimated sales forecast using the weighted moving average method is 1167 units, and the moving average method is 1166 units. Forecasting analysis was carried out using WinQsb and PomQM software.
Pengendalian Kualitas Produk Kendang Jimbe dengan Menggunakan Statistical Quality Control (SQC) dan Failure Mode Effect Analysis (FMEA) pada UD. Budi Luhur Alief Wahyu Pratama; Rr. Rochmoeljati
JUMINTEN Vol 3 No 2 (2022): Juminten: Jurnal Manajemen Industri dan Teknologi
Publisher : UPN Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (607.184 KB) | DOI: 10.33005/juminten.v3i2.407

Abstract

UD. Budi Luhur ialah suatu perusahaan yang bergerak dibidang industri pengolahan dan kerajinan. Salah satu produk tersebut adalah kendang jimbe. Pada proses produksi Kendang Jimbe masih ditemukan cacat seperti kayu pecah, kayu berlubang, cat retak, dan kulit robek yang mempengaruhi kualitas. Tujuan penelitian ini ialah guna mengetahui persentase defect yang paling sering terjadi dan faktor penyebab cacat serta memberikan usulan tindakan perbaikan kualitas kendang jimbe. Metode yang digunakan adalah Statistical Quality Control (SQC) dan Failure Mode Effect Analysis (FMEA). Alat bantu SQC yakni check sheet, diagram pareto, peta kendali, dan fishbone diagram. Kemudian melanjutkan analisis FMEA untuk usulan tindakan perbaikan. Berdasarkan hasil penelitian pada Statistical Quality Control (SQC) diketahui cacat pada kendang jimbe yang paling dominan adalah kayu pecah (38,81%), kemudian kayu berlubang (30,49%), cat retak (19,4%), dan kulit robek (11,30%). Berdasarkan hasil penelitian pada Failure Mode Effect Analysis (FMEA) diketahui penyebab masalah tertinggi dengan RPN 343 yakni pekerja kurang berhati-hati saat proses pembubutan. Saran perbaikan yang dapat diusulkan yakni melakukan pembinaan untuk para pekerja sampai pekerja terampil saat melakukan pembubutan, serta menetukan jadwal rehat agar mesin bubut tidak overheating.
Welding Quality Control Using Statistical Quality Control (SQC) Methods and Failure Mode Effect Analysis (FMEA) at PT. XYZ Rr. Rochmoeljati; Isna Nugraha; Nafa Artha Cahaya Mulia
Nusantara Science and Technology Proceedings 3rd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2707

Abstract

PT XYZ is the largest shipbuilding company in Indonesia. The company's products are shipbuilding and ship design based on consumer demand. In the production process of the BRS W-303 ship, defects were still found during welding, such as incomplete penetration and slag inclusion. The purpose of this study was to determine the percentage of the most dominant defects and the factors causing defects and to provide suggestions for improving the quality of welding. The methods used are Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA). SQC tools are check sheets, stratification, scatter diagrams, attribute control charts, and cause and effect diagrams. Then continue the FMEA analysis based on the cause-and-effect diagram for proposed improvements. Based on the results of Statistical Quality Control (SQC) research, it is known that the most dominant ship welding defects are incomplete penetration (32.81%) and slag inclusion (23.26%). Based on the results of research on Failure Mode Effect Analysis (FMEA) it is known that the root cause of the highest problem with RPN 288 is the determination of the root gap is too small or narrow. Recommendations for improvement that can be proposed are to ensure that the welder must read and understand the WPS used to weld correctly.
Study on Implementation of Lean Six Sigma in Hospital Auxiliary Ship Block Construction Process Muhammad Rizki Kurniawan; Rr. Rochmoeljati
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 19, No 3 (2022): October
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v19i3.46155

Abstract

During the pandemic, transportation is needed to support the evacuation of patients through waterways; therefore, PT PAL Indonesia (Persero) has created a Hospital Auxiliary Ship project. In building a quality Hospital Auxiliary ship project, productivity is needed so the project can be completed properly. However, there are problems with the punctuality of completing the ship block construction with a total lead time of 19200 minutes and found the block quality is not up to standards like Surface Porosity, Former Stopper, Arc Strike, and Low Bead defects that require a rework process and cause long cycle times. This study aims to reduce the lead time value and minimize waste or activities that are not value-added using the lean six sigma method with stages (DMAIC). From the results of the study, it was found that the identification of the Process Activity Mapping (PAM) design, which resulted in the highest waste rating, namely 16.94% defect, with CTQ-4, lean six sigma value of 3.055 sigma and DPMO value of 59917 which was included in the excellent category for the industry average. The factors causing the problem were identified with Pareto diagrams and causal diagrams to determine the dominant type of defect and the causes of wastage of defects; there are four factors, namely material, human, machine, and environment. Recommendations for the improvement of waste are through material inspection, operator training, reworking defective blocks, and minimizing non-value-added activities. With the design of process activity mapping (PAM) and value stream mapping, the efficiency of ship block construction can increase from 67.81% to 74.06%.
Quality Control of Edamame Products Using Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA) Methods in PT. XYZ Fenny Novianti; Rr. Rochmoeljati
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 4, No 2: June 2023
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v4i2.20550

Abstract

PT. XYZ is a company engaged in the frozen food processing industry. One such product is Edamame. In the Edamame production process, defects such as pest defects, color defects, pod defects and mechanical defects that affect quality are still found. The purpose of this study was to determine the proportion of defects that most often occur and the factors that cause defects and to provide suggestions for improving the quality of edamame. The methods used are Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA). The SQC tools include check sheets, statistics, histograms, pareto charts, scatter diagrams, control charts, and fishbone diagrams. Then continue the FMEA analysis for suggestions for corrective action. Based on the results of research on Statistical Quality Control (SQC) it is known that the most dominant defects in edamame are pests (39.9%), then color (25.5%), pods (25.2%), and mechanics (9.4%) ). Based on the results of research on Failure Mode Effect Analysis (FMEA) it is known that the highest cause of problems with RPN 360 is lack of sanitation. Suggestions for improvement that can be proposed namely. Scheduling cleaning of the work environment area and sterilizing production machines and equipment.
Analisa Pemborosan Pada Proses Produksi Bok Travo Dengan Metode Value Stream Mapping Di PT XYZ Ferraldo Kusuma Artono Putra; Rr. Rochmoeljati
Jurnal Kendali Teknik dan Sains Vol. 1 No. 2 (2023): April : Jurnal Kendali Teknik dan Sains
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v1i2.11

Abstract

PT. XYZ, sebuah perusahaan manufaktur, memproduksi berbagai produk, termasuk Bok Travo. Perusahaan bertujuan untuk mengurangi limbah dalam proses produksinya untuk meningkatkan keuntungan dan tetap kompetitif di industri. Untuk mencapai hal tersebut, sebuah penelitian dilakukan untuk mengidentifikasi, mengurangi, dan mengusulkan perbaikan limbah dalam proses produksi Bok Travo. Studi ini menggunakan konsep lean manufacturing dengan menggunakan alat pemetaan aliran nilai dan metode Failure Mode and Effect Analysis (FMEA). Hasil pemetaan aliran nilai menunjukkan bahwa waktu produksi Bok Travo dapat dikurangi dari 2559 menjadi 2159 menit. Dengan menggunakan metode FMEA, akar penyebab pemborosan tertinggi diidentifikasi sebagai cacat seperti permukaan material yang tidak rata, kebocoran, kerataan, dan goresan pada produk. Rekomendasi perbaikan yang diusulkan antara lain penambahan waktu pengelasan dan pemberian support selama pengelasan, serta pengecekan silang dimensi sebelum proses perakitan.
Analisis Kualitas Rotogravure pada Bagian Printing dengan Menggunakan Metode Failure Mode and Effect Analysis dan Fault Tree Analysis di PT. Diantrijaya Mukti Utama Adham Roihan Azriel Irfani; Rochmoeljati Rochmoeljati
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 2 No. 4 (2023): Desember : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v2i4.3027

Abstract

One company that produces rotogravure products is PT. Diantrijaya Mukti Utama. The company implements a make to order production system. In this research, problems were found in the rotogravure production section. Namely in the form of damage to the printing machine with the average age of the machine being still young but often causing defects. The aim of this research is to identify potential failures on printing machines, find out the root causes of their occurrence on printing machines using the fault tree analysis method and produce alternative recommendations for improvement using the Failure Mode and Effect Analysis method in the printing process at PT Diantrijaya Mukti Utama. The research results showed that there were 3 types of defects in the PT printing process. Diantrijaya Mukti Utama, namely hazing defects, streaks and ink fading with a chance of defects occurring of 0.03%, 0.005%, 0.013%. Of these three defects, the causes of defects include workers being less skilled in setting the doctor blade, the doctor blade being used being damaged. Recommended improvements are to provide training related to the use of doctor blades to workers so they can know how to use and care for the doctor blades used
Analisis Perencanaan Penjadwalan Proyek Kapal X Menggunakan Metode PERT Valentino, Eki; Rochmoeljati, Rr.
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 9, No 1 (2024)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v9i1.21872

Abstract

PT. XYZ Indonesia is a state-owned company operating in the ship industry located in Surabaya, Indonesia. PT. XYZ produces merchant ships, warships, and general engineering projects. At PT. XYZ, there is a PMO (Production Management Office) division which has a job description to organize and analyze the schedule required to complete a shipbuilding project. This research uses the PERT (Program Evaluation and Review Technique) method which is used to determine 3 durations, namely optimistic duration, pessimistic duration, and the most likely duration to occur in the machine auxiliary sub-work process on the X ship. Of course PT. XYZ also prioritizes quality and timeliness in completing his projects, so that the name of PT. Friends, you can compete on a national and international scale in the shipping industry. Therefore, this research aims to determine the most effective schedule both in terms of cost and time. The data needed in this research is the master schedule data for the X ship project. In the research that has been carried out, it was found that the processing time of the auxiliary machine is 271 Day. Thus, the conclusion obtained from this research is that schedule analysis using the PERT method has more effective results compared to predetermined planning.