scholarly journals Penerapan Lean Manufacturing dengan Metode VSM dan FMEA untuk Mereduksi Pemborosan Produksi Sarden

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Haris Dwi Armyanto ◽  
Dwi Djumhariyanto ◽  
Santoso Mulyadi
Keyword(s):  
Production Process ◽  
Failure Mode ◽  
Waiting Time ◽  
Lean Manufacturing ◽  
Waiting Times ◽  
Raw Material ◽  
Value Stream Mapping ◽  
Production Flow ◽  
Value Stream ◽  
Current State

CV.X merupakan salah satu perusahaan pengolahan sarden yang terletak di Banyuwangi. Pada proses produksi di perusahaan masih ditemukan beberapa pemborosan (waste). Untuk mengurangi pemborosan yang terjadi digunakan pendekatan lean manufacturing dengan metode Value Stream Mapping (VSM) untuk pemetaan aliran produksi dan aliran informasi terhadap proses produksi dari awal bahan baku hingga produk jadi dan dikirim ke konsumen, serta analisis dengan metode Failure Mode and Effects Analysis (FMEA) untuk mengetahui penyebab kegagalan proses yang paling prioritas dan perlu dilakukan perbaikan dengan segera. Identifikasi pemborosan diawali dengan penggambaran current state map, lalu dilakukan analisis pemborosan ke dalam kategori 7 pemborosan [1]. Pada analsis tersebut ditemukan 3 jenis pemborosan yaitu waiting time, unnecessary inventory dan defect (kembung). Setelah itu dilakukan analisis akar penyebab timbulnya pemborosan menggunakan fishbone diagram, dan analis FMEA untuk mengetahui nilai RPN tertinggi yang selanjutnya akan menjadi prioritas pemberian usulan perbaikan yang tepat dan sesuai dengan masalah dan kondisi proses produksi sarden 125g di CV.X. Rekomendasi perbaikan yang diberikan terhadap pemborosan dengan nilai RPN tertinggi antara lain Menambahkan mesin pencuci produk untuk mengurangi penumpukan produk dan waktu tunggu yang ada sehingga pemborosan waiting time dan unnecessary inventory dapat berkurang, mengganti sarung tangan kain dengan lateks, serta menjaga kebersihan nampan ikan. CV.X is a sardine processing company located in Banyuwangi. In the company production process there are some wastes. To reduce the waste that occurs, lean manufacturing approach using Value Stream Mapping (VSM) method is used to map the production flow and information flow to the production process from the beginning of the raw material to the finished product and sent to consumers, as well as analysis using the Failure Mode and Effects Analysis (FMEA) method. ) to find out what causes the most priority process failures and needs immediate improvement. Waste identification is preceded by a depiction of the current state map, then waste analysis is conducted into category 7 waste. In this analysis, there are 3 types of waste, which are waiting time, unnecessary inventory and defects. After that an analysis of the root causes of waste occurs using fishbone diagrams, and FMEA analysts to find out the highest RPN value which will then be prioritized for giving recommendations for an appropriate improvement and in accordance with the problems and conditions of the 125g sardine production process in CV.X. Improvement recommendations given for waste with the highest RPN value include adding a product washer to reduce product buildup and waiting times so that waiting time and unnecessary inventory waste can be reduced, replacing cloth gloves with latex, and keeping the fish tray clean.

scholarly journals MEMINIMASI PEMBOROSAN DENGAN LEAN MANUFACTURING PADA PROSES PRODUKSI DI PT. IE

2021 ◽  
pp. 1451
Author(s):  
Ahmad Ahmad ◽  
Helena JK ◽  
Andrean Yonathan
Keyword(s):  
Waiting Time ◽  
Cycle Time ◽  
Lean Manufacturing ◽  
Lead Time ◽  
Fault Tree Analysis ◽  
Value Stream Mapping ◽  
Tree Analysis ◽  
Value Stream ◽  
Current State ◽  
Future State

PT. IE is engaged in the business of making Lighting and Lampposts. Based on observations and interviews, there are still some wastes that arise in the flow of the production process, among which there are still many wastes of waiting time, transportation, movement and inventory. These wastes cause the product completion time to be longer and the resulting quality decreases. To eliminate or reduce waste, it is necessary to apply Lean Manufacturing. Lean Manufacturing is a systematic approach to eliminating waste and changing processes by identifying and reducing waste with continuous improvement and striving to create a production flow along the value stream by eliminating all forms of waste and increasing the added value of products to customers. From the Pareto diagram, it is found that transportation waste has the highest percentage of 26.21%, waiting time is 21.38%, motion waste is 19.31% and waste inventories are 15.17%. while the results of the Value Stream Mapping Current State Map mapping obtained a production lead time of 7,680 seconds and a total cycle time of 6,660 seconds and a PCE Current State Map value of 53.09%. Identify the root causes of waste using Fishbone diagrams, 5 Why Analysis, 5W+1H, Fault Tree Analysis and FMEA. After corrective actions have been taken, based on the Value Stream Mapping Future mapping there is a decrease in production lead time to 5,220 seconds and a decrease in total cycle time to 4,860 seconds and an increase in PCE Future State Map to 68.10% so that there is an increase of 15.01% which shows The company's production process has become more Lean.PT. IE bergerak dalam bisnis pembuatan Lighting dan Tiang Lampu. Berdasarkan observasi dan wawancara, masih terdapat beberapa pemborosan (waste) yang timbul di aliran proses produksi di antaranya masih banyak terjadi pemborosan-pemborosan waktu tunggu, transportasi, gerakan dan inventori. Pemborosan-pemborosan tersebut menyebabkan waktu penyelesaian produk menjadi lebih lama dan kualitas yang dihasilkan menurun. Untuk menghilangkan atau mengurangi pemborosan diperlukan adanya penerapan Lean Manufacturing.Lean Manufacturing merupakan pendekatan sistematik untuk mengeliminasi pemborosan dan mengubah proses dengan cara mengidentifikasi dan mengurangi pemborosan dengan perbaikan kontinu dan berupaya untuk menciptakan aliran produksi sepanjang value stream dengan menghilangkan segala bentuk pemborosan serta meningkatkan nilai tambah produk kepada pelanggan. Dari diagram Pareto ditemukan waste transportasi memiliki persentase paling tinggi sebesar 26,21%, waktu tunggu  21,38%, waste motion 19,31% dan waste inventories 15,17%. sedangkan hasil pemetaan Value Stream Mapping Current State Map diperoleh production lead time selama 7.680 detik dan total cycle time selama 6.660 detik serta nilai PCE Current State Map sebesar 53,09%. Identifikasi akar permasalahan pemborosan menggunakan diagram Fishbone, 5 Why Analysis, 5W+1H, Fault Tree Analysis dan FMEA. Setelah dilakukan tindakan–tindakan perbaikan, berdasarkan pemetaan Value Stream Mapping Future ada penurunan production lead time menjadi 5.220 detik dan penurunan total cycle time menjadi 4.860 detik serta ada peningkatan PCE Future State Map menjadi 68,10% sehingga ada peningkatan 15,01% yang menunjukan proses produksi perusahaan telah menjadi lebih Lean.

scholarly journals Improvement of Artistic Cast Production System

2017 ◽  
Vol 17 (3) ◽  
pp. 143-148
Author(s):  
R. Władysiak ◽  
T. Pacyniak ◽  
J. Trzoska
Keyword(s):  
Production Process ◽  
Production System ◽  
Lean Manufacturing ◽  
Production Costs ◽  
Value Stream Mapping ◽  
Value Stream ◽  
Current State ◽  
Production Improvement ◽  
Cast Production ◽  
Lower Production

AbstractThe paper presents the technology and organization of the artistic cast production. On the basis of the actual cast production system, the manufacturing process was shown, in particular sand–piece moulding, which is a very important process and a time-consuming part of the entire manufacture of the casts. The current state of the production process as well as the organization of the work and production technology were analysed with the use of methods and techniques of production improvement, the Lean Manufacturing concept and computer systems. The results of the analysis and studies were shown with use of schemes and graphs of the layout of the production resources, a flow chart of the production process, value stream mapping, and a costs table for the production and modernization of the moulding stage. The work has shown that there are possibilities to improve the artistic cast production system. This improvement leads to increased productivity, lower production costs of artistic casts and increased competitiveness of the foundry.

scholarly journals Minmasi Waktu Produksi Sepatu Allstar Type Chuck Taylor Low Cut Menggunakan Value Stream Mapping (VSM) dan Penjadwalan

2017 ◽  
Vol 1 ◽  
pp. 26
Author(s):  
Widy Setyawan ◽  
Iwan Maifal
Keyword(s):  
Production Process ◽  
Information Flow ◽  
Waiting Time ◽  
Lean Manufacturing ◽  
Completion Time ◽  
Machine Scheduling ◽  
Idle Time ◽  
Value Stream Mapping ◽  
Value Stream

Abstract— CV.Cipendawa is a shoe company, which was established in 2005. The brand of goods produced is Allstar shoes, which become main products. Problems that occur in the process of shoe production Allstar is a waste in the form of idle time (idle time). Waste in the form (idle time) occurs because the company does not pay attention to the existence of alternative Allstar shoe assembly making the engine scheduling less good. This research is done by using lean manufacturing and machine scheduling, in lean manufacturing concept in using the operation of process chart (OPC) and value stream mapping (VSM) to describe the value in production process which includes material and information flow. While the machine scheduling is used to reschedule the production process of Allstar shoes so it is expected to reduce waste. The purpose of this research is to minimize the time of completion of production by paying attention to the assembly alternatives on the production floor. The results of this study indicate that with the scheduling of machines that pay attention to the order of prakitan get the completion time of production of 718 seconds and the waiting time of 114 seconds.dan on making a single shoe score add value of 7102 seconds Keyword : value stream mapping and Scheduling machine.

scholarly journals RANCANGAN USULAN PERBAIKAN UNTUK MEMINIMASI WAITING TIME PADA PROSES PRODUKSI RUBBER STEP ASPIRA BELAKANG DENGAN PENDEKATAN LEAN MANUFACTURING (STUDI KASUS: PT AGRONESIA DIVISI INDUSTRI TEKNIK KARET)

2016 ◽  
Vol 3 (02) ◽  
pp. 52
Author(s):  
Qolli Kusuma ◽  
Pratya Poeri Suryadhini ◽  
Mira Rahayu
Keyword(s):  
Waiting Time ◽  
Lean Manufacturing ◽  
Lead Time ◽  
Value Added ◽  
Value Stream Mapping ◽  
Value Stream ◽  
Current State ◽  
Fishbone Diagram

PT Agronesia (Divisi Industri Teknik Karet) merupakan perusahaan manufaktur industri pengolahan yang memproduksi berbagai jenis produk karet teknik untuk keperluan industri, salah satunya adalah rubber step. Penelitian ini difokuskan pada rubber step Aspira Belakang yang memiliki gap ketidaktercapaian produksi tertinggi. Pada proses produksi rubber step Aspira Belakang ditemukan waktu menunggu yang mempengaruhi tingkat pencapaian target produksi. Tahap awal dalam penelitian ini adalah dengan mengumpulkan data primer yang diolah untuk menggambarkan value stream mapping (VSM) dan process activity mapping (PAM) current state sehingga diketahui lead time dari proses produksi rubber step Aspira Belakang sebesar 5915.07 detik dengan waktu aktivitas value added sebesar 1131.47 detik atau 19.13% dari lead time. Tahap berikutnya adalah mengidentifikasi penyebab akar masalah waiting time menggunakan peta pekerja-mesin, fishbone diagram dan 5 why. Tahap selanjutnya adalah melakukan analisis 5W1H untuk memaparkan detail masalah dan menentukan rancangan usulan perbaikan menggunakan metode lean manufacturing seperti Quick Changeover dan Display. Rancangan usulan perbaikan berupa perancangan alat potong, pembagian lot pengerjaan compound, pengadaan instruksi kerja, perancangan display, pembuatan batch/stock siap cetak, dan perancangan rak penyimpanan khusus sebagai upaya dalam meminimasi waiting time pada proses produksi rubber step Aspira Belakang. Berdasarkan rancangan usulan yang diberikan didapatkan lead time sebesar 3142.10 detik dengan waktu aktivitas value added sebesar 1131.47 detik atau 36.01% dari lead time.

scholarly journals Variability and Uncertainty Analysis in Value Stream Mapping

2019 ◽  
Vol 8 (12S2) ◽  
pp. 533-538
Keyword(s):  
Lean Manufacturing ◽  
Value Stream Mapping ◽  
Strong Impact ◽  
Food Sector ◽  
Value Stream ◽  
Current State ◽  
Potential Risks ◽  
Tools And Techniques ◽  
A Current

Lately, value stream mapping (VSM) is integrated with tools and techniques that belong to other areas of knowledge such as risk management (RM). It is well known tool in showing the value, value stream and the flow which represents three of lean manufacturing (LM) principles. This integration, gives more benefit in covering two of VSM issues such as considering the variability and uncertainty of production processes. In this paper, a model named variable value stream mapping (V-VSM) that integrates the two was showed, explained and tested. The model helps to generate the VSM in a dynamic way with the identification of current and potential risks. These risks might happen in the future bringing a strong impact on not reaching the main objectives in the defined time and cost. The model has been tested by conducting a case study in food sector. A current state map was built using both models, traditional VSM and VVSM. The results showed the effect of variability and uncertainty on the total cycle time (CT) and lead time (LT) values, where the traditional VSM failed to show it by being a static tool. Comparing the results of both models show the differences in presenting the real state of manufacturing environment..

scholarly journals Production flow improvement and value stream mapping in a lean manufacturing world

2021 ◽  
Vol 6 (1) ◽  
pp. 036-050
Author(s):  
Muhammad Adib Uz Zaman ◽  
Emad Rabiei Hosseinabad
Keyword(s):  
Lean Manufacturing ◽  
Performance Metrics ◽  
Value Stream Mapping ◽  
Production Flow ◽  
Value Stream ◽  
Assembly Simulation ◽  
Kaizen Events ◽  
Load Leveling ◽  
And Performance ◽  
Flow Improvement

The importance of lean manufacturing concepts has been discussed many times over the few decades. The most important elements in lean manufacturing practices are value stream mapping (VSM), Kaizen events, load leveling (heijunka), etc. In this case study, a real-world clock assembly simulation has been used to study the performance improvement in terms of production flow and lead time after introducing lean concepts. In each round of simulation, the lean concepts have been introduced one by one and performance metrics were recorded. After implementing the concepts, the productivity was improved enormously. So, this simulation study emphasizes the importance of continuous improvement of production flow through lean concepts in a real production setting.

scholarly journals ANALISIS PEMBOROSAN PRODUKSI PADA ALIRAN PRODUK JALA IKAN KKP MENGGUNAKAN PRINSIP LEAN MANUFACTURING DENGAN METODE VALUE STREAM MAPPING (VSM) DI PT. INDONEPTUNE NET MANUFACTURING

2019 ◽  
Vol 7 (2) ◽  
pp. 79-89
Author(s):  
Henny Henny ◽  
Muhammad Kahfi Hadi Syuhada
Keyword(s):  
Cycle Time ◽  
Delay Time ◽  
Lean Manufacturing ◽  
Value Stream Mapping ◽  
Time Level ◽  
Value Stream ◽  
Current State

  Penelitian ini ditujukan untuk menganalisis pemborosan produksi produk Jala Ikan KKP menggunakan lean manufacturing di PT. Indoneptune Net Manufacturing dengan memetakan aliran produksi dan menganalisisnya menggunakan value stream mapping (VSM). Analisis terhadap pemborosan dengan metode VSM dilakukan karena VSM dapat memetakan aliran informasi dan material dari awal sampai akhir dari value stream pembuatan suatu produk. Sehingga dapat dilihat proses mana saja yang merupakan pemborosan. Adapun VSM yang dibuat adalah current-state VSM karena dapat merepresentasikan kondisi saat ini dari aliran produksi yang ada. Hasil yang didapatkan setelah dibuat current-state VSM adalah aliran produksi produk jala Ikan KKP melewati proses spinning, ring roupe, netting dan finishing yang memiliki sub-sub proses yang berbeda. Dari setiap sub-proses tersebut dipetakan nama proses, jumlah waktu cycle time dan changeover time, level inventory, waktu kerja tersedia dan jumlah operator. Penganalisisan pemborosan dilakukan pada setiap sub-proses untuk dapat mengetahui nilai tambah proses tersebut terhadap produk utama yang sedang dikerjakan pada setiap tahapan proses yang berlangsung. Kesimpulan yang didapat yaitu pemborosan yang terjadi di departemen spinning salah satunya adalah delay time karena persiapan sebelum proses peleburan, waktu tunggu karena persiapan proses twist di departemen ring roupe, transportasi berlebih sebelum proses tatekan dan pengerjaan ulang di hoshu 2 di departemen finishing.

Production Improvement in an Aircraft Manufacturing Company Using Value Stream Mapping Approach

2014 ◽  
Vol 660 ◽  
pp. 1038-1042 ◽  
Author(s):  
Md Saidin Wahab ◽  
Kamsidi Abd Malek Sidek ◽  
Mohd Shahir Yahya ◽  
Muhammad Mustaqim Ahmat
Keyword(s):  
Information Flow ◽  
Simulation Software ◽  
Shop Floor ◽  
Value Stream Mapping ◽  
Production Flow ◽  
Cycle Times ◽  
Value Stream ◽  
Aircraft Manufacturing ◽  
Current State ◽  
Manufacturing Company

The purpose of this study is to develop a value stream mapping for a production in an aircraft manufacturing company. The process begins with creating a current state map and understands the production flow and the current cycle times. This provides the information needed to produce a future state map. The goal is to identify and eliminate the waste, which is any activity that does not add value to the final product, in the production process. In order to collect the information needed, the study was conducted within the production facility to enable the researcher gained knowledge and familiarized with the production flow and the activities being performed at the shop floor. Parameters such as cycle times, down times, work in process (WIP) for inventory and material, and information flow paths were recorded. This information will enable the researcher to visualize the current state of the process activities by mapping the material and information flow and looking for opportunities to eliminate wastes. ARENA simulation software package was used to simulate and analyze the process flow and times. Result from the analysis shows that there are areas where the company can further improve their production system. The results show the improvement of the cycle time up to 22% based on the new proposed arrangement of the layout. Therefore the propose layout will be guided to the company in order to improve their production.

scholarly journals Penerapan Lean Manufacturing untuk Mengurangi Waste pada Produksi Absorbent

2018 ◽  
Vol 4 (1) ◽  
pp. 23 ◽  
Author(s):  
Agung Ravizar ◽  
Rosihin Rosihin
Keyword(s):  
Production Process ◽  
Lean Manufacturing ◽  
Quantitative Data ◽  
Lead Time ◽  
Historical Data ◽  
Mapping Method ◽  
Production Costs ◽  
Value Stream Mapping ◽  
Value Stream ◽  
Process Speed

This study aims to reduce the waste that occurs on each workstation and has an impact on increasing productivity and reducing production costs caused by waste that occurs during production. The data used for this study is quantitative data obtained by direct observation to the relevant departments regarding the problem of identifying waste that occurs — data taken from observations as much as 30 times the collection of data and historical data used from January 2016 to June 2017. By using the value stream mapping method on lean manufacturing, it can be seen that there are five types of waste from the existing seven waste. The five wastes are unnecessary motion, waiting, reject, transportation and in-process processes. From the results of the value stream mapping carried out a reduction in waste on each workstation with a total reduction of waste that occurs at 66.97 tons / year or 18.6% on waste gel and 88.8 tons / year or 19.3% at waste powder and there was a reduction in the changeover process for 45 minutes or 12.16% of the total changeover time before the improvement. Also, there was also an increase in the production process speed of 2 minutes 47 seconds or 4.52% from the lead time of the previous production process, 61 minutes 34 seconds to 58 minutes 47 seconds.

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