scholarly journals Dies Process Performance Improvement Maintenance With e-DMIS Based on Iot Technology

2021 ◽  
Vol 6 (2) ◽  
pp. 120-133
Author(s):  
Adi Rusdi Widya ◽  
Ikhsan Romli
Keyword(s):  
Production Process ◽  
Performance Improvement ◽  
Monitoring System ◽  
Online Communication ◽  
Recording System ◽  
Initial Information ◽  
Testing Tools ◽  
Replacement Process ◽  
Lost Time ◽  
Problem Data

Improvement between departments within the company requires a mutually supportive system so that cooperation occurs between interrelated departments. This requires effort and commitment that needs to be supported by related share holders so that the occurrence of lost time during the production process can be minimized so that the planned time runs effectively and efficiently in increasing productivity. The difficulty in supervising and controlling the production process is the reason for knowing the abnormality in the process of replacing the dies and controlling the process of replacing printing equipment or dies for the Stamping process still using a manual system and the process recording system still using paper that is prone to loss and is engineered irresponsibly . The method used to create an electronic Dies replacement monitoring system by collecting problem data, comparing manual systems with several experiments and testing tools, using IoT in the form of PLC, HDMI as a tool for online communication. The DIMS monitoring system can be used to monitor and provide initial information when there is a request for the Dies replacement process so that replacement requests and needs in the process can be carried out immediately because they can be detected early.

scholarly journals Performance Improvement of a Forced Draught Cooling Tower Using a Vortex Generator

CFD letters ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 45-57
Author(s):  
Dan Mugisidi ◽  
Oktarina Heriyani ◽  
Pancatatva Hesti Gunawan ◽  
Dwi Apriani
Keyword(s):  
Heat Transfer ◽  
Energy Consumption ◽  
Water Temperature ◽  
Production Process ◽  
Performance Improvement ◽  
Cooling Tower ◽  
Vortex Generator ◽  
Vortex Generators ◽  
Cooling Systems ◽  
Air Discharge

Cooling systems using colling towers are often an important element in a production process and always involve water or energy consumption. Therefore, increasing the efficiency of the colling tower will reduce water and / or energy consumption. In order to increase the efficiency of colling tower energy consumption, the most studied part is the fills, where heat transfer occurs. However, there are no studies on the use of vortex generators in colling tower fills. Hence the aim of this study was to evaluate the performance improvement in a forced draught cooling tower using a vortex generator. It was conducted on a laboratory scale using single fill as a trial medium. The fill was made of 3-mm acrylic with dimensions of 30 × 30 × 1950 mm. A three-unit vortex generator was placed inside the fill. The rectangular vortex generator was made of 0.5-mm thick aluminium and had a size of 50 × 10 mm. Data were retrieved for the fills with and without a vortex generator. Water and air discharge of 1 L/minute and an inlet water temperature of 60°C were maintained. The results indicated that the effectiveness of the fill with a vortex generator was increased by 90.72% compared to the fill without a vortex generator.

The Design and Implement of Electrical Operator Monitoring System

2013 ◽  
Vol 5 (3) ◽  
pp. 60-65
Author(s):  
Yao Wan-Ye ◽  
Sun Teng-Zhong ◽  
Jiang Xue-Li
Keyword(s):  
Power Generation ◽  
Computer Science ◽  
Production Process ◽  
Electric Power ◽  
Monitoring System ◽  
Electric Power System ◽  
Electrical System ◽  
Key Technology ◽  
Internet Technologies ◽  
System Data

Since the traditional electrical system data monitor equipment has some shortage, such as limited monitoring objects, single monitoring direction, the authors combine computer science Internet technologies with electric power system production process and extend the scope of monitoring system. This paper analyzes the key technology by which the operator monitoring system can be realized, and puts forward the scheme, which based on.NET platform, of recording operator’s behaviors during electric power generation, and it is implemented in WINDOWS system.

High titer oncolytic measles virus production process by integration of dielectric spectroscopy as online monitoring system

2018 ◽  
Vol 115 (5) ◽  
pp. 1186-1194 ◽  
Author(s):  
Tanja A. Grein ◽  
Daniel Loewe ◽  
Hauke Dieken ◽  
Denise Salzig ◽  
Tobias Weidner ◽  
...  
Keyword(s):  
Production Process ◽  
Monitoring System ◽  
Dielectric Spectroscopy ◽  
Measles Virus ◽  
Online Monitoring ◽  
High Titer ◽  
Virus Production ◽  
Online Monitoring System

scholarly journals Purwarupa Pemantauan Volume Kondisi Volume Air Galon Berbasis Internet of Things (IoT)

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Fikra Titan Syifa ◽  
Anantia Prakasa
Keyword(s):  
Monitoring System ◽  
Water Volume ◽  
Average Error ◽  
Testing Tools ◽  
Iot Platform ◽  
Weight Sensor ◽  
Processing Platform ◽  
Minimum System ◽  
Water Amount ◽  
Tool Testing

 Sistem pemantau volume air di dalam galon sudah banyak dibuat purwarupa atau prototipenya dengan berbagai macam jenis sensor dan media transmisi pengiriman informasinya. Setiap purwarupa sistem pemantau tersebut mempunyai kelebihan dan kekurangan sendiri-sendiri.  Penelitian ini bertujuan untuk  memantau volume air di dalam galon dengan menggunakan sensor berat Loadcell HX711 dan menggunakan media transmisi WiFi yang tersedia NodeMCU ESP8266. Selain itu, software Android IFTTT dan aplikasi Telegram dirancang sebagai platform pemroses, pengirim data beserta antar muka dari sistem pemantau air ke dunia luar atau internet.  Jika volume air terdeteksi kurang dari 1,2 kg, atau 1,2 liter, maka  telegram akan menerima notifikasi dari sensor yang dipasang.   Berat maksimal yang dapat diterima alat adalah 5 kg dan air yang diisi adalah 3 liter. Pengujian yang dilakukan ada dua macam, pengujian sensor dan pengujian alat. Pengujian sensor dengan beban yang beragam mendapatkan hasil error yang bervariasi dengan nilai error tertinggi 11,7%. Sedangkan rata-rata error sensor satu sebesar 4,02% untuk sensor dua sebesar 4,72%. Pada pengujian alat rata-rata error pada alat satu yaitu 0,29% sedangkan pada alat dua mendapatkan hasil error 0,46%. Berikutnya, delay atau tunda pengiriman data melalui platform IoT untuk sensor loadcell satu memiliki delay atau tunda rata-rata waktu pengiriman notifikasi ke telegram sebesar 4,045 detik dan 4,184 detik pada sensor loadcell dua. Oleh karena itu, sistem minimum NodeMCU digunakan untuk menyelesaikan masalah. Pengujian alat mendapatkan hasil yang memuaskan yaitu prototip ini dapat mendeteksi volume air dibawah 1,2 kg dan mengirimkan informasi pada telegram.Many prototypes of water volume monitoring system in gallon have been developed instead variety of sensors and transmission media for sending information. Each prototype monitoring system has its own advantage and disadvantage. This research focused on monitoring gallon volume of water by using the loadcell sensor HX711 weight sensor and using the available WiFi transmission media NodeMCU ESP8266. In addition, the IFTTT Android Software and Telegram application are designed as a processing platform, sending data and interfacing from a water monitoring system to the outside world or the internet. If the detected water volume is less than 1.2 kg or 1.2 liters, the telegram will receive notification from the installed sensor. The maximum weight that can be received by the tool is 5 kg and the water amount filled is 3 liters. There are two kinds of testing, sensor testing and tool testing. Testing sensors with various loads get variable error results with the highest error value of 11.7 %. While the average sensor error is 4.02 % for sensor two is 4.72 %. In tool testing the average error in tool one is 0.29 % while in tool two it gets 0.46 % error results. Next, the delay about sending data through the IoT platform for loadcell sensor one has an average time sending notification to the telegram of 4.045 second and 4.184 second on loadcell sensor number two. Therefore, the minimum system NodeMCU is used to solve the problem. Testing tools get satisfactory results, this prototype can detect the volume of water below 1.2 kg and send information into telegram. 

scholarly journals Penerapan Metode Six Sigma untuk Menurunkan Jumlah Defect pada Produksi Fillet Ikan Kakap Putih (Lates Calcarifer bloch)

2021 ◽  
Vol 9 (1) ◽  
pp. 35
Author(s):  
Putu Ayu Aripradnyani ◽  
I Wayan Widia ◽  
I Gusti Ketut Arya Arthawan
Keyword(s):  
Production Process ◽  
Performance Improvement ◽  
Six Sigma ◽  
Raw Materials ◽  
Production Costs ◽  
Production Cycle ◽  
Management Process ◽  
Critical Factors ◽  
Sigma Level ◽  
Co Gas

ABSTRAK Setiap perusahaan seyogyanya berupaya memperkecil resiko kegagalan dalam berproduksi. Tingginya persentase produk defect dalam setiap siklus produksi selain berimplikasi terhadap menurunkan kepercayaan konsumen juga menaikkan biaya produksi sehingga berakibat menurunkan daya saing produk di pasar. Tujuan penelitian ini adalah mengidentifikasi faktor kritis penyebab defect pada produk dan menemukan bentuk perbaikan kinerja dalam proses manajemen yang dapat dilakukan untuk mengurangi jumlah produk defect pada proses produksi fillet ikan kakap putih kualitas ekspor pada salah satu perusahaan pengolahan ikan di Bali menggunakan metode six sigma. Penelitian ini mencakup lima tahapan implementasi six sigma yaitu DMAI (Define, Measure, Analyze, dan Improve) yang melibatkan pihak manajemen dan karyawan perusahaan. Hasil penelitian menunjukkan bahwa terindentifikasi dua faktor kritis penyebab tertinggi dari enam kategori defect fillet ikan kakap putih. Karakteristik kinerja yang dicapai oleh perusahaan saat ini dicirikan oleh angka DPU (Defect per Unit) sebesar 0,09, DPO (Defect per Opportunities) sebesar 0.045, DPMO (Defect per Million Opportunities) sebesar 45,463 yang setara dengan kinerja pada level 3,125-Sigma sehinga tergolong dalam kategori tingkat kinerja rata-rata industri. Perusahaan berpotensi meraih peningkatan kinerja hinga pada level 4,000-Sigma sepanjang bersedia melakukan sejumlah perbaikan secara berkesinambungan dalam manangani baik terhadap pengawasan mutu bahan baku ikan maupun ketidaksempurnaan pemberiaan gas CO pada produk. Dengan penerapan metode six-sigma, maka faktor kritis penyebab defect tertinggi yang ditemukan yakni daging pecah/lembek dan berbau serta pemberian gas CO yang kurang merata sehingga bentuk perbaikan kinerja dalam proses manajemen yang direkomendasikan adalah menjalankan formulir checklist pada setiap proses produksi, memberikan pelatihan-pelatihan bagi karyawan dan melakukan pemeriksaan terhadap kemasan. ABSTRACT Every company should try to minimize the risk of failure in production. The high percentage of defective products in each production cycle has implications not only reducing consumer confidence but also increasing production costs, which results in lower product competitiveness in the market. The objective of this study was to identify the critical factors that cause defects in the product and find a form of performance improvement in the management process that can be done to reduce the number of defect products in the export quality white snapper fillet production process at a fish processing company in Bali using the six-sigma method. This research consisted of Six-Sigma implementation stages, namely DMAI (Define, Measure, Analyze, and Improve) which involved management and company employees. The results showed that two critical factors were identified as the highest cause of the six categories of white snapper fillet defects. The performance characteristics achieved by the company are currently characterized by a DPU (Defect per Unit) number of 0.09, DPO (Defect per Opportunities) of 0.045, DPMO (Defect per Million Opportunities) of 45.463 which is equivalent to performance at the 3,125-Sigma level so that belongs to the category of industry average performance level. The company has the potential to achieve an increase in performance up to the 4,000-Sigma level as long as it is willing to make a number of continuous improvements in handling both the quality control of fish raw materials and imperfections in the supply of CO gas in the product. With the application of the six-sigma method, the critical factors causing the highest defects were broken / mushy and smelly meat and uneven distribution of CO gas so that the recommended form of performance improvement in the management process was running a checklist form at each production process, providing training for employees and conducting an inspection of packaging.

scholarly journals Perancangan Aplikasi Monitoring Produksi pada Perusahaan yang Memproduksi Acrylic

2012 ◽  
Vol 3 (1) ◽  
pp. 676
Author(s):  
Nilo Legowo ◽  
I Made Kresna Yoga
Keyword(s):  
Production Process ◽  
Monitoring System ◽  
Human Error ◽  
Design Method ◽  
Processing System ◽  
Analysis Method ◽  
Literature Study ◽  
Running System ◽  
Manual Processing ◽  
Production Monitoring

A lot of problems often occur in production monitoring, because companies still rely on manual processing system. Therefore, this research is objected to facilitate the monitoring of production processes, to minimize human error in the production process, to make automatic the process of existing transactions, toclarify the duties of production monitoring of an acrylic manufacturer. The research methodology used is literature study by reviewing previous theories and studies related to the topic. Furthermore, analysis method by studying the running system of the company as well as evaluating the distributed questionnaire and analyzing the results. And finally is the design method using the Object-Oriented with UML. The research resulted in an application design of a production monitoring system. The result of this design has been implemented into the selected DBMS. The new monitoring system helps monitoring the production system properly, as well as makes the transaction run systematically. The each production process starting from project orders, sample orders, sales orders, material releases, production, assembly, and delivery order within can be monitored quickly and properly. The activity reports can also be generated more systematically and comprehensibly.

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