Pub Date : 2020-12-02DOI: 10.31695/ijerat.2020.3664
Ameen A. Noor
After the development in the field of visual data analysis, it has become necessary to obtain objects inside the image, which must be with a high degree of accuracy and clarity for the purpose of identifying the object inside that body in order to obtain clear living organisms, as well as medical professionals can clarify the types of diseases and their forms to find Treatments suitable for her.In this paper was used a set of previously used and proven mechanisms and techniques that help to remove impurities from the images and reveal the edges to distinguish the object's boundaries and the length of the body and calculate the center of gravity and through the mechanism of the body's rotation to identify these things so that specialists can determine what these things are and how to deal with them And develop possible solutions to it, whether medical, geographical or otherwise.
{"title":"Object Boundaries Detection Based Center Of Gravity","authors":"Ameen A. Noor","doi":"10.31695/ijerat.2020.3664","DOIUrl":"https://doi.org/10.31695/ijerat.2020.3664","url":null,"abstract":"After the development in the field of visual data analysis, it has become necessary to obtain objects inside the image, which must be with a high degree of accuracy and clarity for the purpose of identifying the object inside that body in order to obtain clear living organisms, as well as medical professionals can clarify the types of diseases and their forms to find Treatments suitable for her.In this paper was used a set of previously used and proven mechanisms and techniques that help to remove impurities from the images and reveal the edges to distinguish the object's boundaries and the length of the body and calculate the center of gravity and through the mechanism of the body's rotation to identify these things so that specialists can determine what these things are and how to deal with them And develop possible solutions to it, whether medical, geographical or otherwise.","PeriodicalId":424923,"journal":{"name":"International Journal of Engineering Research and Advanced Technology","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122458033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-12DOI: 10.31695/IJERAT.2020.3665
I. Umoeka, Imo J. Eyoh, E. Udo, V. Akwukwuma
Since real world application is fraught with high amount of uncertainty, such as applicable to software reliability, there should be a method of handling the uncertainty. This paper presents a model to properly handle uncertainty in software data for effective prediction of the reliability of software at the early phase of software development process. In this paper we employed a Takagi-Sugeno-Kang (TSK)-based interval type 2 fuzzy logic systems with artificial neural network learning for the prediction of software reliability. The degree of membership grades of the interval type 2 fuzzy sets (IT2FSs) are obtained using interval type Gaussian membership function with fixed mean and uncertain standard deviation. The parameters of the IT2FLS membership functions are optimized using gradient descent (GD) back-propagation algorithm. As inputs to the system, reliability relevant software requirement metrics and the software size metrics are used. The proposed new approach makes use of qualitative data of requirement metrics of twenty three real software projects to examine its predictive ability. The performance of the model is evaluated using five performance metrics and found to provide better results when compared with existing approaches.
{"title":"Optimization of Interval Type-2 Fuzzy Logic System for Software Reliability Prediction","authors":"I. Umoeka, Imo J. Eyoh, E. Udo, V. Akwukwuma","doi":"10.31695/IJERAT.2020.3665","DOIUrl":"https://doi.org/10.31695/IJERAT.2020.3665","url":null,"abstract":"Since real world application is fraught with high amount of uncertainty, such as applicable to software reliability, there should be a method of handling the uncertainty. This paper presents a model to properly handle uncertainty in software data for effective prediction of the reliability of software at the early phase of software development process. In this paper we employed a Takagi-Sugeno-Kang (TSK)-based interval type 2 fuzzy logic systems with artificial neural network learning for the prediction of software reliability. The degree of membership grades of the interval type 2 fuzzy sets (IT2FSs) are obtained using interval type Gaussian membership function with fixed mean and uncertain standard deviation. The parameters of the IT2FLS membership functions are optimized using gradient descent (GD) back-propagation algorithm. As inputs to the system, reliability relevant software requirement metrics and the software size metrics are used. The proposed new approach makes use of qualitative data of requirement metrics of twenty three real software projects to examine its predictive ability. The performance of the model is evaluated using five performance metrics and found to provide better results when compared with existing approaches.","PeriodicalId":424923,"journal":{"name":"International Journal of Engineering Research and Advanced Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129782148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-29DOI: 10.31695/ijerat.2020.3662
Betrhriza Hanum, Ragil Pardiyono, A. Kurniawan
PT HPPM is a manufacturing company engaged in the automotive sector. The products produced include Automatic Transmission (ATM), Engine Valve (EV), Four Wheel Drive (4WD), and Stell Belt, which are marketed at home and abroad. In carrying out its production activities, PT HPPM has guidelines for controlling its products' quality to compete in the automotive industry, including ATM products with the MCVT (Medium Continuously Variable Transmission) model. The method used in the quality control analysis of this research is Six Sigma, a vision of quality improvement towards a target of 3,4 failures per million opportunities for every transaction of goods and services, Gasperz (2005). To apply the Six Sigma concept, a measurement method is needed to assist the implementation of Six Sigma in the company. There are five steps in this method's stages, namely DMAIC (Define, Measure, Analyze, Improve, Control). There are four potential Critical To Quality (CTQ) that cause the product to become defective or fail in the MCVT model, namely NG Leak, NG Gata, NG Circlip, and NG OPC. The highest defect is NG Leak defect, 127 units with a percentage of 45.68% of the total number of defects produced—then followed by defects NG Gata with 79 units with a percentage of 28.42%. Meanwhile, another defect is NG Circlip, with 62 units with a percentage of 22.30%, then NG OPC as many as ten units with a percentage of 3.60%. By using the Six Sigma method and the DMAIC step (Define, Measure, Analyze, Improve, Control), it can be seen that the quality of MCVT products in the Main Line 1 process is good, which is at the level of 4,876 sigma with 370 Defect Per Million Opportunity (DPMO). From the Define stage by mapping and identifying problems to find out the causes of defective products, the Measure Stage by calculating the stability of the poses using the SPC method to determine the Proportion, CL, UCL, and LCL and calculating the process capability to determine the sigma level value and the DPMO value. The Analyze stage identifies the source of the problem with the Fishbone Diagram, the Improve stage looks for solutions using the 5W1H method, then Control to maintain and maintain process improvements. The results showed a decrease in the DPMO value from 383 units to 370 and an increase in the sigma level value from 4,868 to 4,876. This shows that the company has been able to implement a good quality control system
PT HPPM是一家从事汽车行业的制造公司。生产的产品包括自动变速器(ATM)、发动机气门(EV)、四轮驱动(4WD)、钢带等，产品远销国内外。在进行生产活动时，PT HPPM有控制其产品质量的指导方针，以在汽车行业中竞争，包括具有MCVT(中档无级变速器)模型的ATM产品。Gasperz(2005)在本研究的质量控制分析中使用的方法是六西格玛，这是一种质量改进的愿景，目标是每百万次商品和服务交易中有3,4次失败。为了应用六西格玛概念，需要一种测量方法来协助六西格玛在公司的实施。在该方法的阶段中有五个步骤，即DMAIC(定义，测量，分析，改进，控制)。在MCVT型号中，有四个潜在的关键质量(CTQ)导致产品成为缺陷或失败，即NG Leak, NG Gata, NG Circlip和NG OPC。最高的缺陷是NG Leak缺陷，127个单位，占缺陷总数的45.68%，其次是NG Gata缺陷，79个单位，占缺陷总数的28.42%。同时，另一个缺陷是NG Circlip，有62个单位，占22.30%，然后是NG OPC多达10个单位，占3.60%。通过六西格玛方法和DMAIC步骤(定义、测量、分析、改进、控制)可以看出，主线1工序的MCVT产品质量良好，处于4876西格玛水平，每百万机会有370个缺陷(DPMO)。从定义阶段开始，通过映射和识别问题，找出不良产品的原因;测量阶段，通过使用SPC方法计算姿态的稳定性，确定比例，CL, UCL和LCL;计算过程能力，确定西格玛水平值和DPMO值。分析阶段使用鱼骨图确定问题的根源，改进阶段使用5W1H方法寻找解决方案，然后控制以维护和维护过程改进。结果表明，DPMO值从383单位下降到370单位，sigma水平值从4868增加到4876单位。这表明公司已经能够实施良好的质量控制体系
{"title":"Analysis of Quality Control for Automatic Transmission Products MCVT Model By Six Sigma Approach at PT HPPM, Indonesia","authors":"Betrhriza Hanum, Ragil Pardiyono, A. Kurniawan","doi":"10.31695/ijerat.2020.3662","DOIUrl":"https://doi.org/10.31695/ijerat.2020.3662","url":null,"abstract":"PT HPPM is a manufacturing company engaged in the automotive sector. The products produced include Automatic Transmission (ATM), Engine Valve (EV), Four Wheel Drive (4WD), and Stell Belt, which are marketed at home and abroad. In carrying out its production activities, PT HPPM has guidelines for controlling its products' quality to compete in the automotive industry, including ATM products with the MCVT (Medium Continuously Variable Transmission) model. The method used in the quality control analysis of this research is Six Sigma, a vision of quality improvement towards a target of 3,4 failures per million opportunities for every transaction of goods and services, Gasperz (2005). To apply the Six Sigma concept, a measurement method is needed to assist the implementation of Six Sigma in the company. There are five steps in this method's stages, namely DMAIC (Define, Measure, Analyze, Improve, Control).\u0000There are four potential Critical To Quality (CTQ) that cause the product to become defective or fail in the MCVT model, namely NG Leak, NG Gata, NG Circlip, and NG OPC. The highest defect is NG Leak defect, 127 units with a percentage of 45.68% of the total number of defects produced—then followed by defects NG Gata with 79 units with a percentage of 28.42%. Meanwhile, another defect is NG Circlip, with 62 units with a percentage of 22.30%, then NG OPC as many as ten units with a percentage of 3.60%.\u0000 By using the Six Sigma method and the DMAIC step (Define, Measure, Analyze, Improve, Control), it can be seen that the quality of MCVT products in the Main Line 1 process is good, which is at the level of 4,876 sigma with 370 Defect Per Million Opportunity (DPMO). From the Define stage by mapping and identifying problems to find out the causes of defective products, the Measure Stage by calculating the stability of the poses using the SPC method to determine the Proportion, CL, UCL, and LCL and calculating the process capability to determine the sigma level value and the DPMO value. The Analyze stage identifies the source of the problem with the Fishbone Diagram, the Improve stage looks for solutions using the 5W1H method, then Control to maintain and maintain process improvements. The results showed a decrease in the DPMO value from 383 units to 370 and an increase in the sigma level value from 4,868 to 4,876. This shows that the company has been able to implement a good quality control system","PeriodicalId":424923,"journal":{"name":"International Journal of Engineering Research and Advanced Technology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122850617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-15DOI: 10.31695/IJERAT.2020.3645
S. Hussein
In Wireless Sensor Networks (WSNs), the data transmission might be specified as a major challenge. Various protocols of routing were suggested for saving energy throughout the transmission of data in WSNs. The protocols of routing which are on the basis of data centric method were adequate in such regard which are performing data’s in-network aggregations for yielding energy- saving data dissemination, such sensor nodes have a few of limitations because of their limited, computing power, storage capacity, and limited energy. The data have been routed between nodes with the use of various routing protocols. In addition, there are a few routing protocols for WSNs, all such protocols attempted on eliminating a few of such limitations. A Circumference-based SPIN protocol, (C-SPIN), is going to implement for eliminating the limited energy as well as data overlap with the use of right-most data movement method.
{"title":"A New wireless sensor networks Routing Algorithm Based on SPIN Protocols and Circumference Technique","authors":"S. Hussein","doi":"10.31695/IJERAT.2020.3645","DOIUrl":"https://doi.org/10.31695/IJERAT.2020.3645","url":null,"abstract":"In Wireless Sensor Networks (WSNs), the data transmission might be specified as a major challenge. Various protocols of routing were suggested for saving energy throughout the transmission of data in WSNs. The protocols of routing which are on the basis of data centric method were adequate in such regard which are performing data’s in-network aggregations for yielding energy- saving data dissemination, such sensor nodes have a few of limitations because of their limited, computing power, storage capacity, and limited energy. The data have been routed between nodes with the use of various routing protocols. In addition, there are a few routing protocols for WSNs, all such protocols attempted on eliminating a few of such limitations. A Circumference-based SPIN protocol, (C-SPIN), is going to implement for eliminating the limited energy as well as data overlap with the use of right-most data movement method.","PeriodicalId":424923,"journal":{"name":"International Journal of Engineering Research and Advanced Technology","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132194543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-25DOI: 10.31695/ijerat.2020.3631
Solomon Tilahun
Purpose: - In the domestic production of garments, the more time is wasted for the handling of fabric. To reduce this wastage in garment production of sewing work aids required. These work aids are not only used to reduce the handling time but also used to improve the quality of the garments. The extent of process control in maintaining the processing parameters at the desired level can be reduced thereby maintaining quality & increasing productivity. Design/Methodology/Approach:-the researcher used types of machines used for each process, working hours of the garments, time taken and daily production of cultural dress style was enlisted and recorded as well. Those data were collected while the garments were manufactured without using work aids and appropriate work aids were developed and also when those same garments were manufactured in the sewing line with using sewing work aids in small scale enterprises. Findings: - Folders for dressmakers is a vital tool of any garment manufacturing special in the sewing section. Sewing work aid mostly affects the production rate and quality of clothes that perceive customers. The cultural clothe makers have no how the sewing work aid use in the garment making. Originality: This work and that all contributions from any other persons or sources are properly and duly cited. I further declare that the material has not been submitted either in whole or in part and the research identifies the bottleneck and proposes the solution. Small Scale Enterprises should improve in terms of quantity and quality to maintain in the market (competitiveness’) and sustain the growth in order to change their status to a medium level that the Enterprise use different productivity improvement techniques such as the utilization of manpower, effective use of machines by use of some kinds of time-saving devices that facilitate operators to perform their work effectively with less effort and short time.
{"title":"Optimization of Production process in Sewing Work for Ethiopia Cultural Clothe Apparel Production","authors":"Solomon Tilahun","doi":"10.31695/ijerat.2020.3631","DOIUrl":"https://doi.org/10.31695/ijerat.2020.3631","url":null,"abstract":"Purpose: - In the domestic production of garments, the more time is wasted for the handling of fabric. To reduce this wastage in garment production of sewing work aids required. These work aids are not only used to reduce the handling time but also used to improve the quality of the garments. The extent of process control in maintaining the processing parameters at the desired level can be reduced thereby maintaining quality & increasing productivity.\u0000Design/Methodology/Approach:-the researcher used types of machines used for each process, working hours of the garments, time taken and daily production of cultural dress style was enlisted and recorded as well. Those data were collected while the garments were manufactured without using work aids and appropriate work aids were developed and also when those same garments were manufactured in the sewing line with using sewing work aids in small scale enterprises. \u0000Findings: - Folders for dressmakers is a vital tool of any garment manufacturing special in the sewing section. Sewing work aid mostly affects the production rate and quality of clothes that perceive customers. The cultural clothe makers have no how the sewing work aid use in the garment making.\u0000Originality: This work and that all contributions from any other persons or sources are properly and duly cited. I further declare that the material has not been submitted either in whole or in part and the research identifies the bottleneck and proposes the solution. Small Scale Enterprises should improve in terms of quantity and quality to maintain in the market (competitiveness’) and sustain the growth in order to change their status to a medium level that the Enterprise use different productivity improvement techniques such as the utilization of manpower, effective use of machines by use of some kinds of time-saving devices that facilitate operators to perform their work effectively with less effort and short time.","PeriodicalId":424923,"journal":{"name":"International Journal of Engineering Research and Advanced Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121062646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-16DOI: 10.31695/ijerat.2020.3633
Ameen A. Noor, Ziad M. Abood, H. Abed
Underwater images are subjected to a number of external influences that cause blurry of the image due to water density, refraction of light in the water and inaccuracy of colors due to factors such as small objects and clay particles, so many researches have been carried out in the image enhancement affected by dust and improving underwater images. In this paper, underwater images were taken with two different mobile phones (iPhone7s plus and Galaxy10 +) and different dimensions with clay atoms, and enhancement images using the Contrast Limited Adaptive Histogram Equalization (CLAHE), and Fuzzy intensification operators (Fuzzy_IN) algorithms. A number of quality measurements were measured for the image after enhanced. It showed that the images in the iPhone were of higher quality for the fuzzy algorithm. The comparison with the previous works also showed that the current work gave better results, then combining the enhanced of the underwater images with clay particles.
{"title":"Enhanced Images Underwater with Clay Particles","authors":"Ameen A. Noor, Ziad M. Abood, H. Abed","doi":"10.31695/ijerat.2020.3633","DOIUrl":"https://doi.org/10.31695/ijerat.2020.3633","url":null,"abstract":"Underwater images are subjected to a number of external influences that cause blurry of the image due to water density, refraction of light in the water and inaccuracy of colors due to factors such as small objects and clay particles, so many researches have been carried out in the image enhancement affected by dust and improving underwater images. \u0000In this paper, underwater images were taken with two different mobile phones (iPhone7s plus and Galaxy10 +) and different dimensions with clay atoms, and enhancement images using the Contrast Limited Adaptive Histogram Equalization (CLAHE), and Fuzzy intensification operators (Fuzzy_IN) algorithms. A number of quality measurements were measured for the image after enhanced. It showed that the images in the iPhone were of higher quality for the fuzzy algorithm. The comparison with the previous works also showed that the current work gave better results, then combining the enhanced of the underwater images with clay particles.","PeriodicalId":424923,"journal":{"name":"International Journal of Engineering Research and Advanced Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125614634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-24DOI: 10.31695/ijerat.2020.3625
M. Sadiku, Omobayode Fagbohungbe, S. Musa
Artificial intelligence (AI) is a field of computer science that is dedicated to developing software dealing with intelligent decisions, reasoning, and problem solving. Artificial intelligence is already part of our lives, slowly shaping our society and business. It is everywhere, in on your smartphones, laptops, and cars. AI can increase productivity, gain competitive advantage, compliment human intelligence. and reduce cost of operations. Businesses of all types and sizes are considering artificial intelligence to solve their problems. The scope of AI in business transformation is constantly growing. This paper provides an introduction on the applications of AI in business.
{"title":"Artificial Intelligence in Business","authors":"M. Sadiku, Omobayode Fagbohungbe, S. Musa","doi":"10.31695/ijerat.2020.3625","DOIUrl":"https://doi.org/10.31695/ijerat.2020.3625","url":null,"abstract":"Artificial intelligence (AI) is a field of computer science that is dedicated to developing software dealing with intelligent decisions, reasoning, and problem solving. Artificial intelligence is already part of our lives, slowly shaping our society and business. It is everywhere, in on your smartphones, laptops, and cars. AI can increase productivity, gain competitive advantage, compliment human intelligence. and reduce cost of operations. Businesses of all types and sizes are considering artificial intelligence to solve their problems. The scope of AI in business transformation is constantly growing. This paper provides an introduction on the applications of AI in business.","PeriodicalId":424923,"journal":{"name":"International Journal of Engineering Research and Advanced Technology","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115164870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-14DOI: 10.31695/ijerat.2020.3622
Novera Elisa Triana, Sakti Aji Lesmana
Every company, especially manufacturing companies are required to make efficiency in each line to increase productivity in order to compete with other companies. With the increasing demand for new products from customers, or usually called a New Project, companies are challenged to utilize the work area as much as possible with the existence of new production lines to meet the customer's demand. To do that, the company should immediately make improvements on all lines so that free space will be obtained which will be used for new projects. To reduce the Lead Time on the line in the production department with the expectation to get an optimal working area which creating space to be used for a New Project. Using the Value Stream Mapping method as a first step to mapping the entire process from upstream to downstream to identify Lead Time and lead to waste in each process. High waste occurs in the inventory lead time. Non-value added activities are mostly found in the inventory part after platting in receiving and finished good parts. It also found in the information flow of the finished good parts. While developing the future state map, it decreased the total lead time by about 5% so that it creating a workspace for the new projects.
{"title":"Application of Lean Manufacturing to Optimize Working Space by Reducing Lead Time in the Production Department Using the Value Stream Mapping (VSM) Method","authors":"Novera Elisa Triana, Sakti Aji Lesmana","doi":"10.31695/ijerat.2020.3622","DOIUrl":"https://doi.org/10.31695/ijerat.2020.3622","url":null,"abstract":"Every company, especially manufacturing companies are required to make efficiency in each line to increase productivity in order to compete with other companies. With the increasing demand for new products from customers, or usually called a New Project, companies are challenged to utilize the work area as much as possible with the existence of new production lines to meet the customer's demand. To do that, the company should immediately make improvements on all lines so that free space will be obtained which will be used for new projects. To reduce the Lead Time on the line in the production department with the expectation to get an optimal working area which creating space to be used for a New Project. Using the Value Stream Mapping method as a first step to mapping the entire process from upstream to downstream to identify Lead Time and lead to waste in each process. High waste occurs in the inventory lead time. Non-value added activities are mostly found in the inventory part after platting in receiving and finished good parts. It also found in the information flow of the finished good parts. While developing the future state map, it decreased the total lead time by about 5% so that it creating a workspace for the new projects.","PeriodicalId":424923,"journal":{"name":"International Journal of Engineering Research and Advanced Technology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130538457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-28DOI: 10.31695/ijerat.2020.3614
Uly Amrina, Adriyani Oktora
This study aims to identify the lever integration factors of lean and green in achieving sustainable Small and Medium Industries (SMIs) cosmetics using Interpretive Structural Modelling (ISM). The sustainable development of Cosmetics SMI grouped into four dimensions, namely the dimensions of manufacturing operations and the economy as part of the lean principle, the environment, and social consciousness as indicators of the green concept. The four dimensions described into 17 lean and green trigger factors based on literature studies and interviews of 5 experts. This study explores the conceptual relationship between the seventeen drivers by using a questionnaire and modeling it in the form of an ISM hierarchy model. Based on MICMAC analysis, HR welfare factors influence elements of soundness level and encourage the performance of manufacturing operation and environment factors. In the end, the relationship between lean and green factors will increase the SMIs Cosmetics income in micro and national tax revenue in macro. This study also proposes four strategies to be carried out by the SMIs owner-manager to improve the performance of lean and green
{"title":"Analysis of Lean and Green Drivers for Sustainable Cosmetics SMIsUsing Interpretive Structural Modelling (ISM)","authors":"Uly Amrina, Adriyani Oktora","doi":"10.31695/ijerat.2020.3614","DOIUrl":"https://doi.org/10.31695/ijerat.2020.3614","url":null,"abstract":"This study aims to identify the lever integration factors of lean and green in achieving sustainable Small and Medium Industries (SMIs) cosmetics using Interpretive Structural Modelling (ISM). The sustainable development of Cosmetics SMI grouped into four dimensions, namely the dimensions of manufacturing operations and the economy as part of the lean principle, the environment, and social consciousness as indicators of the green concept. The four dimensions described into 17 lean and green trigger factors based on literature studies and interviews of 5 experts. This study explores the conceptual relationship between the seventeen drivers by using a questionnaire and modeling it in the form of an ISM hierarchy model. Based on MICMAC analysis, HR welfare factors influence elements of soundness level and encourage the performance of manufacturing operation and environment factors. In the end, the relationship between lean and green factors will increase the SMIs Cosmetics income in micro and national tax revenue in macro. This study also proposes four strategies to be carried out by the SMIs owner-manager to improve the performance of lean and green","PeriodicalId":424923,"journal":{"name":"International Journal of Engineering Research and Advanced Technology","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125447619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-15DOI: 10.31695/IJERAT.2020.3612
M. Sadiku, Omobayode Fagbohungbe, S. Musa
Cybersecurity is the process of protecting computer networks from cyber attacks or unintended unauthorized access. It is the need of the hour. Organizations, businesses, and governments need cybersecurity solutions because cyber criminals pose a threat to everyone. Artificial intelligence promises to be a great solution for this. By combining the strength of artificial intelligence with cybersecurity, security experts are more capable to defend vulnerable networks and data from cyber attackers. This paper provides an introduction to the use of artificial intelligence in cybersecurity.
{"title":"Artificial Intelligence in Cyber Security","authors":"M. Sadiku, Omobayode Fagbohungbe, S. Musa","doi":"10.31695/IJERAT.2020.3612","DOIUrl":"https://doi.org/10.31695/IJERAT.2020.3612","url":null,"abstract":"Cybersecurity is the process of protecting computer networks from cyber attacks or unintended unauthorized access. It is the need of the hour. Organizations, businesses, and governments need cybersecurity solutions because cyber criminals pose a threat to everyone. Artificial intelligence promises to be a great solution for this. By combining the strength of artificial intelligence with cybersecurity, security experts are more capable to defend vulnerable networks and data from cyber attackers. This paper provides an introduction to the use of artificial intelligence in cybersecurity.","PeriodicalId":424923,"journal":{"name":"International Journal of Engineering Research and Advanced Technology","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128935553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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