International Journal of Engineering Research and Advanced Technology
Not a member yet
478 research outputs found
Sort by
Implementation of Lean Manufacturing to Reduce Waste in the Maintenance Section in National Automotive Sub Companies of Indonesia
Diamond Motorindo is a company that produces four-wheeled vehicles, one of which is a Multi-Purpose Vehicle (MPV) type. In the MPV manufacturing process, the quality problem that is currently a trend is the AC Not Fill defect. Based on company data for the period March 2019 ~ February 2020, the defect continues to increase. The defect occurred due to the failure of filling the AC gas into the vehicle by the AC Filling Machine. This study aims to determine the OEE value of the AC filling machine is, the factors that cause machine failure that causes defects and can obtain improvement efforts to improve quality. The steps taken in this study are first to calculate the respective values of availability, performance, and rate of quality from the AC Filling Machine to find which variable has the lowest value with the OEE method. After obtaining the variable with the lowest value, the next step is to solve the problem of low variables by using the DMAIC method. After analyzing it, it can be concluded that the average OEE AC Filling Machine value during March 2019 ~ February 2020 is around 96%. This value is still below the target set by the company, which is 98%. What prevents the OEE value target from being achieved is the machine's low rate of quality. The contributing factors are humans, methods, machines/tools, and materials
Key Success Factors for Critical Chain Project Management (CCPM) and 4D Building Information Modeling (BIM) for Improving Time Performance in Basement Work on 5 Layers of High-rise Residential Buildings in Indonesia
Referring to data released by The Skyscrapper Center in 2020, during the period 1960 - 2020 there was a rapid increase in the construction of buildings with a height of more than 150 meters around the world. The increase in high-rise residential buildings or high rise buildings according to the global competitiveness report data from 2014 - 2020 will be the largest growth country in the construction sector with an average total growth value of 6.3% so that engineers - architecture carry out and make project management engineering from the initial project phase to the project completion phase and the increasing complexity of problems in the planning process to the management of high-rise residential buildings. The need for housing in Indonesia, especially in big cities, is high and the limited availability of land causes prices to increase, so that investment in residential high rise buildings is growing rapidly. The high demand for the community is directly proportional to the increase in the number of residential building construction for high-rise buildings. Building construction is expected by service providers to be completed on time without delay according to their planning. However, in the implementation of development there are problems that cause delays in its implementation. The delay that occurs can be from internal, external and weather factors. For this reason, this research will discuss the key success factors of critical chain project management (CCPM) and 4D building information modeling (BIM) for improving time performance on the basement work of 5 layers of high-rise residential buildings. To obtain the key success factors, the researchers used the SPSS (Statistical product and service solutions) tool. From the results of this SPSS, the researchers found 10 key success factors, namely 1. Project identification against time, 2. Basement design complexity, 3. Effect of project buffers, fedding buffer , buffer resources, 4. Accuracy of document design, 5. Scheduling and Simulation, 6. Logical relations of activities, 7. Policy and government support, 8. Top down methods, 9. Land conditions, and 10. Eliminating safety time. The 10 key success factors are expected to reduce delays in the implementation of development
System Dynamic Model in Analyzing 5 Layers Basement Work
In connection with the increase in construction and the level of urbanization that occurs in Indonesia, the construction of high-rise housing will be carried out to optimize narrow land in urban areas. By providing several facilities with the concept of high rise building in the basement area and building a layered basement, it is expected to optimize the available land for the development of high rise housing. This study determines the approach to rework analysis on a 5-layer basement with a Dynamic Model System simulation model that can provide superior estimates so as to produce scenarios to reduce rework costs. With this research update, it is estimated that the System Dynamic Model ensures that rework costs can be reduced on Basement 5 Layer work by 17.41 % of the initial rework cost
Subject Review: Brain Tumor Detection Techniques
A brain tumor is one of the main causes of increased mortality among children and adults. The tumor is a major problem that is out of control over the normal force that regulates growth. There are several techniques for segmenting and detecting a brain tumor area on MRI images. In this paper, we provide background reviews of several proposed techniques for the recognition of brain tumors. There is a lot of literature on detecting this type of brain tumor and improving detection accuracy
Edge Detection for Face Image Using Multiple Filters
Edge detection is a technique for detecting the presence and location of sharp changes in an image's intensity. Edges help in segmentation and object recognition by defining the boundaries between sections in an image. Edge detection minimizes the quantity of data in an image and filters out unnecessary information while keeping the image's crucial structural qualities. The general method of edge detection is to study the changes of a single image pixel in an area, use the variation of the edge neighboring first-order or second-order to detect the edge. This paper is an overview of different edge detection techniques like differential operator method such as Sobel operator, canny technique and we used Visual Basic Language version 6.0 for this paper
Higher Order Semi - Analytical Method: Analysis of Up & Down - Milling Stability of High Speed Machining
This work presents a dynamic stability analysis of the general high-speed milling process by a higher-order semi-analytical method. The first-order full-discretization method (1st FDM) and second-order full-discretization method (2nd FDM) are presented. These methods are based on the direct integration scheme. The governing mathematical model applied is the delay-differential equation with single time-periodic delay taking regenerative effect into account. The stability lobes diagrams are presented for a single degree of freedom mechanical model and two degrees of freedom mechanical model. Up-milling and down-milling stability charts are presented for various radial immersion ratios in order to compare the accuracy of up-and down-milling. It is demonstrated that for full-immersion down-milling and up-milling stability lobes diagrams are the same approximatively but in other cases down- milling is more accurate than up-milling both for a single degree of freedom and two degrees of freedom. the computational time of calculation of eigenvalue is also variable for the different computational parameters. The rate of convergence for half immersion and low immersion is presented for variable parameters
Detect Phishing Website by using Machine Learning
Phishing is one of the types of electronic crimes, where the attacker uses what is called social engineering to deceive users of Internet networks and this is done by sending messages via e-mail, phone call or text messages by the attacker who pretends to the victim that he is a real and legitimate company or institution that provides a specific service, And thus luring people to write their personal data in addition to important and sensitive information such as bank accounts, credit cards and passwords used by individuals. Then the attacker simply uses this data and information to obtain the property and accounts of the victim, and on the other hand, the attacker can monitor everything related to the victim during his entry and movement on the sites, that is why we developed a model that detects phishing by using the random forest algorithm
Subject Review: A Comparison of Lightweight Concrete Made With Sawdust
Lightweight concrete is a very useful and advantageous material in the modern civil industry. It is lighter than normal-weight concrete. This paper investigates the review of the significant applications and advantages of using lightweight concrete in the area of civil engineering. Also, therefore, the use of lightweight concrete has a great impact on developing countries as it permits design flexibility and substantial saving in the cost of construction. In this paper, the background for many experimental studies of lightweight concrete made with sawdust is provided and a comparison between these studies
Rock Landslides Induced by Earthquakes: A Study on Influence of Strength Criterion on Limit Equilibrium Stability Analysis
The stability analysis of landslides is important because they are major geological hazards in many parts of the world. In this paper, the most common and traditional methods for the analysis of slope stability — i.e., Limit Equilibrium Methods — are used to investigate the influence of using different strength criteria on stability analysis of rock landslides subjected to a seismic load. For this purpose, four different Limit Equilibrium Methods including (1) Bishop, (2) Janbu, (3) Spencer, and (4) Morgenstern-Price are used by incorporating Mohr-Coulomb and Generalized Hoek-Brown strength criteria to model slopes with different properties and rock types — (1) Siltstone, (2) Limestone, (3) Sandstone, and (4) Granite. This study shows that when Generalized Hoek-Brown criterion is used for slope stability analysis, the relative difference of both the predicted minimum factors of safety and areas of potential failure surface — with respect to the cases with Mohr-Coulomb criterion — increases as the strength of rock mass increases. Also, when Generalized Hoek-Brown criterion is used, lower values for both the minimum factor of safety and area of potential failure surface — compared to the cases with Mohr-Coulomb criterion — are predicted for weak rock masses. However, for rock masses with high strength, higher values for both the minimum factor of safety and area of potential failure surface are obtained when Generalized Hoek-Brown criterion is used. The findings of this study can help geotechnical, civil, and mining engineers select the appropriate rock strength criterion for slope stability analysis and design of slope stabilization measures, and to predict landslides
Benchmark Analysis of VVER-1000 Nuclear Reactor using MCNPX code for the Westinghouse and the TVEL Fuel Assemblies
The computational benchmarks performed on the TVEL and the Westinghouse fuel assemblies for the VVER-1000 nuclear power reactor have been calculated by the Monte Carlo code (version MCNPX 2.7). The calculations were performed on models of the fuel assemblies of the VVER-1000 reactor. The basis was taken of a typical fuel assembly of the Russian TVEL suppliers and the new fuel assemblies of the American company Westinghouse. The aim of this work was to analyze the changes in the isotopic composition of spent nuclear fuel of VVER-1000 due to various operational conditions. The variations of keff and assembly'saverage isotopic composition vs. burnup were calculated. Fission and activation products and actinide daughter nuclides selected for calculation e.g.235U, 236U, 239Pu, 154Eu, 134Cs, were those important for the assessment of nuclear safety in the management and storage of spent fuel. The variations of isotopic composition vs. time during operation and cooling were calculated. Most of the results agreed excellently with those calculated by the SERPENT cod