scholarly journals Analisis Produktivitas Tenaga Kerja dengan Metode Marvin E. Mundel pada CV. Mulia Tata Sejahtera

2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Adnan Gunawan ◽  
Kusnadi Kusnadi ◽  
Hamdani Hamdani
Keyword(s):  
Production Process ◽  
Labor Productivity ◽  
Production Efficiency ◽  
Productivity Index ◽  
Output Level ◽  
Increase Production Efficiency ◽  
Low Level ◽  
Production Output ◽  
A Company ◽  
Production Target

CV. Mulia Tata Sejahtera is a company that produces metal and wood parts using machines such as lathe, milling, drilling and CNC. The company has a production target of 2450 pcs in the 1st period, while the realization of the output produced in the 1st period production process is 2427 pcs. This shows the low level of company productivity. Therefore, this study is aimed at identifying the causes of the low level of productivity by taking into account the resources used. In addition, to provide suggestions for improvements that can be made to increase production efficiency and company productivity. To determine the productivity of CV. Mulia Tata Sejahtera for one period throughout 2020, the measurement of productivity is carried out with Marvin E. Mundel. In this study, three measurement criteria were carried out, namely, labor productivity index, labor absenteeism and production output. The lowest labor productivity index was found in the 6th period with 94.19, while the highest was in the 5th period with 105.98. The lowest labor absentee productivity index was in the 12th period with 69.44, while the highest was in the 6th period with 166.67. The productivity index of the lowest production output level was in the 12th period with 90.97, while the highest was in the 11th period with 110.49. In measuring the company's productivity, the trend is increasing and decreasing or fluctuation.

Process Optimization of Candy Production Based on Data Mining

2011 ◽  
Vol 282-283 ◽  
pp. 662-665 ◽  
Author(s):  
Jia Liang Zhang ◽  
Jian Guo Yang ◽  
Shou Guo Shen ◽  
Han Yan Chen
Keyword(s):  
Data Mining ◽  
Production Process ◽  
Process Parameters ◽  
Production Efficiency ◽  
Analysis Data ◽  
Mining Method ◽  
Process Data ◽  
Increase Production Efficiency ◽  
Display Module

There are complicated correlations between process parameters and quality indicators in candy manufacturing. The objective of this work is to develop an optimization system of candy production process to improve final candy quality and to increase production efficiency. The study is conducted by using an artificial neural network data mining method to obtain optimization knowledge of process parameters from large amount of saved process data. The software platform including data processing, statistic analysis, data mining and graphical display module was developed and the quality forecasting models for typical processing operations were discussed. Experiments indicated that the system can optimize and predict the quality of candy production process effectively.

scholarly journals Dynamics of microbial contaminants is driven by selection during ethanol production

2018 ◽  
Author(s):  
Luciano Lopes Queiroz ◽  
Maria Silveira Costa ◽  
Alcilene de Abreu Pereira ◽  
Marcelo de Paula Avila ◽  
Patrícia Silva Costa ◽  
...  
Keyword(s):  
Species Richness ◽  
Production Process ◽  
Ethanol Production ◽  
Production Efficiency ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Increase Production Efficiency ◽  
Community Assemblage ◽  
Sequential Samples ◽  
Rrna Gene Sequencing

AbstractBrazil is the second largest ethanol producer in the World and largest using sugarcane feedstock. Bacteria contamination is one the most important issues faced by ethanol producers that seek to increase production efficiency. Each step of production is a selection event due to the environmental and biological changes that occur. Therefore, we evaluated the influence of the selection arising from the ethanol production process on diversity and composition of Bacteria. Our objectives were to test two hypothesis, (1) that species richness will decrease during the production process and (2) that Lactic Acid Bacteria will become dominant with the advance of ethanol production due to selection. Bacterial community assemblage was accessed using 16S rRNA gene sequencing from 19 sequential samples. Temperature is of great importance in shaping microbial communities. Species richness increased between the Decanter and Must steps of the process. Low Simpson index values were recorded at the fermentation step, indicating a high dominance ofLactobacillus. Interactions betweenLactobacillusand yeast may be impairing the efficiency of industrial ethanol production.

ANALISIS OVERALL EQUIPMENT EFFECTIVENESS (OEE) PADA MESIN CNC CUTTING

ROTOR ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 61
Author(s):  
Hidayat Hidayat ◽  
Moh. Jufriyanto ◽  
Akhmad Wasiur Rizqi
Keyword(s):  
Production Process ◽  
Production Efficiency ◽  
Quality Standards ◽  
Production Equipment ◽  
The State ◽  
Production Time ◽  
Time Work ◽  
Production Target

PT PAL Indonesia (Persero) is one of the state-owned industries and manufactures engaged in the maritime sector. This company has production equipment complete enough to carry out its production of ship components. There is a problem in this machine, it can be seen by the frequency of damage that occurs to machines or equipment due to the damage so that the production target is sometimes not achieved. Another consequence caused by damage to machines or equipment is in terms of the quality of the resulting product, where products that do not comply with quality standards will be reprocessed. Increasing production efficiency at this company is to measure the effectiveness of CNC Cutting machines using the OEE (Overall Equipment Effectiveness) method. The results of this study suggest that the company should pay more attention to factors of use of production time, work according to standards, operator knowledge, and maintenance of machines. By paying attention to these factors, it is expected that the company's productivity will increase and the production process will run effectively and efficiently.

scholarly journals Optimization of the Production Process of Vibrocasted Refractory Products

2019 ◽  
Vol 299 ◽  
pp. 05001
Author(s):  
Martin Kyncl ◽  
Jiri Kyncl ◽  
Michal Slany
Keyword(s):  
Production Process ◽  
Production Efficiency ◽  
Theoretical Research ◽  
Optimized Design ◽  
Increase Production Efficiency ◽  
Current State ◽  
Expert Analysis ◽  
Design Options ◽  
Ideal Process ◽  
The Ideal

This paper deals with the optimization of the production process of vibrocasted refractory products. The main goal is to make efficient and automate the production of moulds for refractory blocks. A theoretical research was followed by an expert analysis of the current state of the manufacturing process at an industrial partner. The next step was to analyze complete portfolio of refractory vibrocasted products, which results in choosing a representative sample whose dimensions most correspond to majority of the moulds produced. Subsequently, a design was done, to make the production process more effective with respect to time, technology and construction aspects, focusing on increasing productivity, reducing human labour and increasing production modernization. In the end, the design options were evaluated in terms of time and cost, and the ideal process of the manufacturing production was recommended with respect to the latest technology. It includes a solution for material composition and optimized design of moulds for vibrocasted refractory materials to increase production efficiency moulds and cost reduction while maintaining mould accuracy and quality. These products are subject to high demands in terms of material quality and precision, and at the same time costly to produce due to manual manufacturing.

scholarly journals Mitigation against DDoS Attacks on an IoT-Based Production Line Using Machine Learning

2021 ◽  
Vol 11 (4) ◽  
pp. 1847
Author(s):  
Ladislav Huraj ◽  
Tibor Horak ◽  
Peter Strelec ◽  
Pavol Tanuska
Keyword(s):  
Production Process ◽  
Production Line ◽  
Production Efficiency ◽  
Denial Of Service ◽  
Basic Element ◽  
Ddos Attacks ◽  
Increase Production Efficiency ◽  
Denial Of Service Attack ◽  
Service Attack ◽  
Iot Devices

Industry 4.0 collects, exchanges, and analyzes data during the production process to increase production efficiency. Internet of Things (IoT) devices are among the basic technologies used for this purpose. However, the integration of IoT technology into the industrial environment faces new security challenges that need to be addressed. This is also true for a production line. The production line is a basic element of industrial production and integrating IoT equipment allows one to streamline the production process and thus reduce costs. On the other hand, IoT integration opens the way for network cyberattacks. One possible cyberattack is the increasingly widely used distributed denial-of-service attack. This article presents a case study that demonstrates the devastating effects of a DDOS attack on a real IoT-based production line and the entire production process. The emphasis was mainly on the integration of IoT devices, which could potentially be misused to run DDoS. Next, the verification of the proposed solution is described, which proves that it is possible to use the sampled flow (sFlow) stream to detect and protect against DDoS attacks on the running production line during the production process.

An Intelligent Control System of Candy Production Process

2011 ◽  
Vol 282-283 ◽  
pp. 658-661
Author(s):  
Jia Liang Zhang ◽  
Bei Zhi Li ◽  
Jian Guo Yang ◽  
Han Yan Chen
Keyword(s):  
Control System ◽  
Production Process ◽  
Intelligent Control ◽  
Virtual Instrument ◽  
Production Efficiency ◽  
Sensor Data ◽  
Process Data ◽  
Increase Production Efficiency ◽  
Intelligent Control System ◽  
Multi Sensor Data Fusion

Candy production processes involve many process variables. Operators often find it difficult to effectively monitor the process data, analyze current states, detect and diagnose process anomalies, and take appropriate actions to control the processes. The objective of this work is to develop an intelligent control system of candy production process to improve final candy quality and to increase production efficiency with good human-machine interfaces. The study is conducted by using virtual instrument, multi-sensor data fusion and fuzzy control technology to online detect and control typical parameters. Experiment results show that this system can reach requirements of processing accuracy and real-time property and is highly cost-efficient and practical.

scholarly journals APPLICATION of MANUFACTURING SYSTEMS TO CALCULATE PRODUCTION TARGET NEEDS PRIDE CHAIR DESIGN

Tibuana ◽  
2021 ◽  
Vol 4 (01) ◽  
pp. 23-27
Author(s):  
Imron Rosyadi N R ◽  
Matsaini
Keyword(s):  
Production System ◽  
Manufacturing Systems ◽  
Raw Materials ◽  
Daily Activities ◽  
Production Data ◽  
Future Production ◽  
Production Output ◽  
Chair Design ◽  
A Company ◽  
Production Target

A process in a company or industry will never be separated from the name of the production, production is an important part of the running of a company or industry. This research aims to provide input to the company to be able to calculate the need for future production targets based on previous production data so that the company  can  prepare  all  production  needs. Production can also be interpreted as an activity  to  increase  the  use  of  goods  and benefits  in  fulfilling  daily  activities.  In practice,  a  person  or  business  entity  that carries out production activities is called a producer. Producers produce goods to be sold to     meet     the     needs     of     others     and theirindividuals. Production activities, there is an  activity  of  processing  raw  materials  into semi-finished materials, and then proceeding from semi-finished materials to finished materials.   Therefore,   a   separate   focus   is needed to determine the amount of production, output, and input that is done. One thing that can be done is knowing up to calculating the needs of all processes to the production target. While the focus of production activities from the production system to inventory is First, forecasting is important and foremost. Second, inventory control is very important in the production system for inventory, especially in planning  the  purchase  and  delivery  of  raw materials and components. Third, the production  of  large  quantities  of  inventory items is more structured.

scholarly journals Proses Produksi Industri Pandai Besi di Kecamatan Togo Binongko Kabupaten Wakatobi

2021 ◽  
Vol 6 (5) ◽  
pp. 175
Author(s):  
Leni Leni ◽  
Mardin Mardin ◽  
Suriana Suriana
Keyword(s):  
Data Analysis ◽  
Production Process ◽  
Production Efficiency ◽  
Raw Materials ◽  
Increase Production Efficiency ◽  
Analysis Techniques ◽  
Agricultural Equipment ◽  
Quantitative Data Analysis

This study aimed to determine the production process of the blacksmith industry in Togo Binongko District, Wakatobi Regency, in May 2019. The determination of the research location was determined purposively. Respondents in this study were heads of families who worked as blacksmiths in Togo Binongko District, Wakatobi Regency, with as many as 20 respondents. Data analysis uses quantitative data analysis techniques to describe the data that has been collected and present the data in tabular form so that it becomes clearer according to the conditions in the field. The results showed that the agricultural equipment produced by the smart in Togo Binongko District was made through a traditional production process while maintaining product quality. The production process starts from Tila and Tihi (sorting and cutting of iron raw materials), Kepa'a (forging), Hokomonde'a (modeling), and Soropu'a (re-burning). Blacksmith artisans can maintain the quality of the products produced by improving the production process by participating in training and using equipment that can increase production efficiency.

scholarly journals Responsibilities of personnel management in questions of ensuring the quality of production of the enterprise

2021 ◽  
pp. 5-9
Author(s):  
Tetiana AVERIKHINA ◽  
Maryna BURIACHENKO ◽  
Valeriia VASYLIEVA
Keyword(s):  
Quality Management ◽  
Personnel Management ◽  
Management System ◽  
Production Efficiency ◽  
Quality Management System ◽  
Employee Motivation ◽  
Human Potential ◽  
Increase Production Efficiency ◽  
A Company

Introduction. In the practice of companies based on quality management, there are two main goals of its development. First of all, it is about optimizing the company in order to ensure its viability, in particular the competitiveness of products and services and increase production efficiency. And if such a goal is really in the forefront of the company, especially for the first manager, it is already promising, and such a company has a chance to implement the current quality management system. It should be noted immediately that it cannot provide a quality management system. The quality management system is a kind of structure to which appropriate decisions to improve processes and product quality should be tied. The purpose of the paper is to show the optimization of the company in order to ensure its viability, in particular the competitiveness of products and services and increase production efficiency, to demonstrate to everyone, including potential consumers, that the company can constantly produce products of a certain level of quality. Results. The quality management system contributes to the release of human potential, which guarantees the performance of public service at the highest level. Increasing the motivational potential of the company's staff is carried out in order to create a system of incentives to meet the identified motivational needs of employees. Therefore, one of the options is the process "Staff motivation", recommended by the ISO 9001 MS, which registers the needs for employee motivation and measures the satisfaction of identified needs. Conclusion. Quality management is a system of personnel management, which should be supplemented by the introduction of a number of motivational measures, because the company needs not only to have qualified specialists, but also to motivate them to effectively use their potential.

scholarly journals ANALISIS EFEKTIVITAS MESIN DENGAN METODE OVERALL EQUIPMENT EFFECTIVENESS DI PT. SINAR GOWA INDUSTRI

2019 ◽  
Vol 4 (2) ◽  
pp. 63-66
Author(s):  
Dirgahayu Lantara
Keyword(s):  
Production Process ◽  
Food Industry ◽  
Production Efficiency ◽  
Maintenance System ◽  
A Value ◽  
Efficient Machine ◽  
A Company

PT Sinar Gowa Industri is a company established in 2005, engaged in the food industry (noodles). The cessation of a production process is often caused by a problem in the production machine, for example, the engine stops suddenly, decreases the speed of production, the length of time setup and adjustments, the machine produces a defective product. TPM develops from a traditional maintenance system that involves all departments and all people to participate in and develop responsibilities in the maintenance of machinery / equipment. Steps to prevent or overcome the problem in business. Increasing production efficiency is done by using the Overall Equipment Effectiveness (OEE) method as a tool used to measure and determine the performance of machines / equipment. The results and analysis carried out by the OEE method on machines at PT. Sinar Gowa Industries studied were mixing machines, pressing machines, sitting machines, and steaming machines. It was concluded that the most effective and efficient machine in the production process was mixing machines and pressing machines, because it had an overall equity effectiveness value of 83.8 percent followed by a sitting machine that had a value of 53.29 percent and the last was seating machines with a value of 54, 89 percent.

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