Pub Date : 2020-06-30DOI: 10.21512/COMTECH.V11I1.6164
C. Jaqin, A. Rozak, H. Purba
The research aimed to improve the quality problem from the previous plant that contributed to the Rate of Quality (RQ) and Overall Equipment Effectiveness (OEE) value in Cylinder Block Machining (CBM). The research was done in one of an automotive company in Indonesia. It had been applying Total Productive Maintenance (TPM) with Kaizen spirit to make continuous improvement even though this company had reached a world-class level on the Japan Institute of Plant Maintenance (JIPM) standard. To express the needs and wants of the current machining plant and improve quality problems from the previous process in the casting plant, the researchers used Quality Function Deployment (QFD) method. From the result, it is known that shrinkage defect at a casting product becomes the priority of the kaizen team to achieve next process customer satisfaction in a machining plant to increase the RQ and OEE value. By implementing improvement based on the highest value of Technical Priorities (TP) from House of Quality (HOQ), it can increase RQ value in CBM from 96,4% in December 2018 to 97,9% in February 2019. Then, OEE value increases from 92% to 93% within two months.
{"title":"Quality Function Deployment for Quality Performance Analysis in Indonesian Automotive Company for Engine Manufacturing","authors":"C. Jaqin, A. Rozak, H. Purba","doi":"10.21512/COMTECH.V11I1.6164","DOIUrl":"https://doi.org/10.21512/COMTECH.V11I1.6164","url":null,"abstract":"The research aimed to improve the quality problem from the previous plant that contributed to the Rate of Quality (RQ) and Overall Equipment Effectiveness (OEE) value in Cylinder Block Machining (CBM). The research was done in one of an automotive company in Indonesia. It had been applying Total Productive Maintenance (TPM) with Kaizen spirit to make continuous improvement even though this company had reached a world-class level on the Japan Institute of Plant Maintenance (JIPM) standard. To express the needs and wants of the current machining plant and improve quality problems from the previous process in the casting plant, the researchers used Quality Function Deployment (QFD) method. From the result, it is known that shrinkage defect at a casting product becomes the priority of the kaizen team to achieve next process customer satisfaction in a machining plant to increase the RQ and OEE value. By implementing improvement based on the highest value of Technical Priorities (TP) from House of Quality (HOQ), it can increase RQ value in CBM from 96,4% in December 2018 to 97,9% in February 2019. Then, OEE value increases from 92% to 93% within two months.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":"11 1","pages":"11-18"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41761018","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 : 2020-06-30DOI: 10.21512/COMTECH.V11I1.5746
Adrian Dicky Lukiman, Richard Richard
The research discussed the design of vendor selection features using the Analytical Hierarchy Process (AHP) method, inventory control using Economic Order Quantity (EOQ) method, and order notification using Reorder Point (ROP) method. The research aimed to find out the most appropriate time for procurement of goods, selection of vendors that fit the predetermined criteria and determine the number of items that had to be ordered within a period of time. Object-Oriented Analysis and Design (OOAD) method was used in building the system design. The sample of the research was a telecommunications service provider company. The result shows that by applying these three methods, the problems are overcome.
{"title":"Analytical Hierarchy Process (AHP), Economic Order Quantity (EOQ), and Reorder Point (ROP) in Inventory Management System","authors":"Adrian Dicky Lukiman, Richard Richard","doi":"10.21512/COMTECH.V11I1.5746","DOIUrl":"https://doi.org/10.21512/COMTECH.V11I1.5746","url":null,"abstract":"The research discussed the design of vendor selection features using the Analytical Hierarchy Process (AHP) method, inventory control using Economic Order Quantity (EOQ) method, and order notification using Reorder Point (ROP) method. The research aimed to find out the most appropriate time for procurement of goods, selection of vendors that fit the predetermined criteria and determine the number of items that had to be ordered within a period of time. Object-Oriented Analysis and Design (OOAD) method was used in building the system design. The sample of the research was a telecommunications service provider company. The result shows that by applying these three methods, the problems are overcome.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":"11 1","pages":"29-34"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43620005","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 : 2020-06-30DOI: 10.21512/COMTECH.V11I1.6022
O. Setyandito, Aldo Christanto Purnama, N. Yuwono, Juliastuti Juliastuti, Y. Wijayanti
The research aimed to study the effect of groin application to erosion at the shoreline. The method utilized the bathymetry and topography data of north beach of Balongan, West Java. Modeling of the shoreline change due to groin installment used software called GENESIS. Based on analysis result, it is found that the significant wave direction comes from the southeast with significant wave height of 1,18 meters and surf zone width of 140 meters. It is concluded that at research area of north beach of west Java, I-groin with length of 70 meters and T head groin of 60 meters in long T-groin effectively overcome erosion and advance the coastline by 10786,62 m2 or in average 6,3 meters.
{"title":"Shoreline Change with Groin Coastal Protection Structure at North Java Beach","authors":"O. Setyandito, Aldo Christanto Purnama, N. Yuwono, Juliastuti Juliastuti, Y. Wijayanti","doi":"10.21512/COMTECH.V11I1.6022","DOIUrl":"https://doi.org/10.21512/COMTECH.V11I1.6022","url":null,"abstract":"The research aimed to study the effect of groin application to erosion at the shoreline. The method utilized the bathymetry and topography data of north beach of Balongan, West Java. Modeling of the shoreline change due to groin installment used software called GENESIS. Based on analysis result, it is found that the significant wave direction comes from the southeast with significant wave height of 1,18 meters and surf zone width of 140 meters. It is concluded that at research area of north beach of west Java, I-groin with length of 70 meters and T head groin of 60 meters in long T-groin effectively overcome erosion and advance the coastline by 10786,62 m2 or in average 6,3 meters.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":"11 1","pages":"19-28"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43945494","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 : 2020-06-30DOI: 10.21512/comtech.v11i1.6326
B. Saleh, C. Anwar, Rusman Zaenal Abidin, Aris Setyo Radyawanto
The aim of the research was to enhance the selection for the process plant equipment supplier based on their country of origin in the gold mining project using the Analytical Hierarchy Process (AHP). The research also intended to investigate how AHP could further enhance the process of the project. The steps for modeling the AHP were identifying the hierarchy by the project team, constructing the AHP model, and calculating the weight for supplier selection. The research object was a gold mining company based in Indonesia. The schedule and resources were calculated, followed by a survey to evaluate the AHP process. After modeling and calculating using AHP, it is found that the three highest criteria for selecting the process plant equipment suppliers are running capacity (14,3 %), efficiency (9,9%), and endurance (9,7%). The overall scores for each supplier show that supplier from United States (25,87%) is in the first rank. It is followed by Germany (25,80%) and Australia (25,20%). Moreover, AHP is proven to enhance the process by not only reducing the time of decision-making for two days but also increasing the resource by almost 23%. Based on the survey to the project team, AHP increases the involvement of the project team in the decision-making process and shows that more than 80% of the project team agrees with the decision. The survey also reveals that almost 63% of the project team decides to use the same tools for the decision-making process.
{"title":"Analytical Hierarchy Process for Enhancing Procurement Decision-Making in Project Phase: A Case Study in the Gold Mining Project","authors":"B. Saleh, C. Anwar, Rusman Zaenal Abidin, Aris Setyo Radyawanto","doi":"10.21512/comtech.v11i1.6326","DOIUrl":"https://doi.org/10.21512/comtech.v11i1.6326","url":null,"abstract":"The aim of the research was to enhance the selection for the process plant equipment supplier based on their country of origin in the gold mining project using the Analytical Hierarchy Process (AHP). The research also intended to investigate how AHP could further enhance the process of the project. The steps for modeling the AHP were identifying the hierarchy by the project team, constructing the AHP model, and calculating the weight for supplier selection. The research object was a gold mining company based in Indonesia. The schedule and resources were calculated, followed by a survey to evaluate the AHP process. After modeling and calculating using AHP, it is found that the three highest criteria for selecting the process plant equipment suppliers are running capacity (14,3 %), efficiency (9,9%), and endurance (9,7%). The overall scores for each supplier show that supplier from United States (25,87%) is in the first rank. It is followed by Germany (25,80%) and Australia (25,20%). Moreover, AHP is proven to enhance the process by not only reducing the time of decision-making for two days but also increasing the resource by almost 23%. Based on the survey to the project team, AHP increases the involvement of the project team in the decision-making process and shows that more than 80% of the project team agrees with the decision. The survey also reveals that almost 63% of the project team decides to use the same tools for the decision-making process.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":"11 1","pages":"43-56"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42555111","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 : 2020-06-30DOI: 10.21512/COMTECH.V11I1.5903
Apriliana Eka Saputri, N. Sevani, F. Saputra, R. K. Sali
The research aimed to develop a web-based application using the certainty factor. The use of this certainty factor method allowed processing the data based on the degree of confidence from the experts and the users. The users inputted their symptoms each with the level of confidence. The inference engine drew some conclusions based on the matching process between the input and the rules in the knowledge-based. For every matching pair, the system would calculate the certainty factor. The knowledge-based was developed through discussion with three specialist physicians and literature in some previous studies. The evaluation of the system involved three specialists for validation testing and 51 respondents for BlackBox testing. The final result is displayed in the form of a percentage for each hepatitis type, explanation of first aid for hepatitis, and referral hospital for hepatitis patients. The result shows that the error rate in the diagnosis process is under 36%. Most of the respondents think that the quality of the system is good overall.
{"title":"Using Certainty Factor Method to Handle Uncertain Condition in Hepatitis Diagnosis","authors":"Apriliana Eka Saputri, N. Sevani, F. Saputra, R. K. Sali","doi":"10.21512/COMTECH.V11I1.5903","DOIUrl":"https://doi.org/10.21512/COMTECH.V11I1.5903","url":null,"abstract":"The research aimed to develop a web-based application using the certainty factor. The use of this certainty factor method allowed processing the data based on the degree of confidence from the experts and the users. The users inputted their symptoms each with the level of confidence. The inference engine drew some conclusions based on the matching process between the input and the rules in the knowledge-based. For every matching pair, the system would calculate the certainty factor. The knowledge-based was developed through discussion with three specialist physicians and literature in some previous studies. The evaluation of the system involved three specialists for validation testing and 51 respondents for BlackBox testing. The final result is displayed in the form of a percentage for each hepatitis type, explanation of first aid for hepatitis, and referral hospital for hepatitis patients. The result shows that the error rate in the diagnosis process is under 36%. Most of the respondents think that the quality of the system is good overall.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":"11 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47746225","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 : 2020-06-30DOI: 10.21512/COMTECH.V11I1.6329
H. Purba, Sunadi Sunadi, Suhendra Suhendra, Else Paulina
The research aimed to ensure the right design of new products based on customer needs and to improve competitiveness based on renewal marketing strategies and customer needs in the car seat industry. Customer satisfaction ratings were used to compare with competitors. Then, the Quality Function Deployment (QFD) was implemented for the analysis. The research used total sampling or complete enumeration. So, the sample size was the same as the population size. Based on calculations using the QFD method, it shows that the seat option has the highest percentage of technical requirements in the car seat industry around 27,39%. The second factor is material about 25,94%, and the third factor is the damping characteristic about 19,17%. For continuous quality improvement in the future, a lot of customer needs regarding the seat car need to be developed.
{"title":"The Application of Quality Function Deployment in Car Seat Industry","authors":"H. Purba, Sunadi Sunadi, Suhendra Suhendra, Else Paulina","doi":"10.21512/COMTECH.V11I1.6329","DOIUrl":"https://doi.org/10.21512/COMTECH.V11I1.6329","url":null,"abstract":"The research aimed to ensure the right design of new products based on customer needs and to improve competitiveness based on renewal marketing strategies and customer needs in the car seat industry. Customer satisfaction ratings were used to compare with competitors. Then, the Quality Function Deployment (QFD) was implemented for the analysis. The research used total sampling or complete enumeration. So, the sample size was the same as the population size. Based on calculations using the QFD method, it shows that the seat option has the highest percentage of technical requirements in the car seat industry around 27,39%. The second factor is material about 25,94%, and the third factor is the damping characteristic about 19,17%. For continuous quality improvement in the future, a lot of customer needs regarding the seat car need to be developed.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":"11 1","pages":"35-42"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46841478","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 : 2019-12-31DOI: 10.21512/COMTECH.V10I2.5853
Hugo Adrian Hartanto, Irena Krishanti Makrie, V. Yesmaya, Permana Gustav Halfian
This research utilized Augmented Reality (AR) technology along with interactive multimedia applications to improve visual guidance and assist nonexpert users in assembling furniture. Rather than paperbased or video instructions, AR enhanced learning and manipulative-interactive approach. This research used the Waterfall model for development. It was divided into a couple of stages. It consisted of specifying the problem and requirements, designing the system, implementing and integrating it, and testing the system. Identifying problems and requirements was conducted through an online questionnaire and related works study. The graphics tool used was 3D Studio Max. Unity3d was used to develop the system with the software library from Qualcomm’s Vuforia for the AR implementation. The results show the mobile application called ARsembly. It serves as the early stage of concept model as it only assists the simple assembly. Through system testing performed by both researchers and end-users, ARsembly is proven to be useful and helpful in learning and performing furniture assembly.
这项研究利用增强现实（AR）技术和交互式多媒体应用程序来改善视觉引导，并帮助非专业用户组装家具。AR增强了学习和操作交互方法，而不是基于纸张或视频的指令。本研究采用瀑布模型进行开发。它分为几个阶段。它包括指定问题和需求、设计系统、实现和集成系统以及测试系统。通过在线问卷调查和相关工作研究确定了问题和要求。使用的图形工具是3D Studio Max。Unity3d用于使用高通公司Vuforia的软件库开发系统，以实现AR。结果显示了名为ARassembly的移动应用程序。它是概念模型的早期阶段，因为它只帮助简单的组装。通过研究人员和最终用户进行的系统测试，ARssembly被证明在学习和执行家具组装方面是有用和有帮助的。
{"title":"The Development of Furniture Assembly Instruction Based on Augmented-Reality","authors":"Hugo Adrian Hartanto, Irena Krishanti Makrie, V. Yesmaya, Permana Gustav Halfian","doi":"10.21512/COMTECH.V10I2.5853","DOIUrl":"https://doi.org/10.21512/COMTECH.V10I2.5853","url":null,"abstract":"This research utilized Augmented Reality (AR) technology along with interactive multimedia applications to improve visual guidance and assist nonexpert users in assembling furniture. Rather than paperbased or video instructions, AR enhanced learning and manipulative-interactive approach. This research used the Waterfall model for development. It was divided into a couple of stages. It consisted of specifying the problem and requirements, designing the system, implementing and integrating it, and testing the system. Identifying problems and requirements was conducted through an online questionnaire and related works study. The graphics tool used was 3D Studio Max. Unity3d was used to develop the system with the software library from Qualcomm’s Vuforia for the AR implementation. The results show the mobile application called ARsembly. It serves as the early stage of concept model as it only assists the simple assembly. Through system testing performed by both researchers and end-users, ARsembly is proven to be useful and helpful in learning and performing furniture assembly.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":"10 1","pages":"75-81"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44648249","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 : 2019-12-31DOI: 10.21512/comtech.v10i2.5665
Widya Reza, H. Pramoedyo, Rahma Fitriani
This research discussed the properties of Spatially Corrected Blundell-Bond (SCBB) in overcoming the problem of endogeneity and spatial dependence that occur in dynamic Spatial Durbin Model (SDM) panels. The properties of the estimator tested were unbiased and normality. The properties test of the estimator was carried out using the Monte Carlo simulation approach. From the results of this research, it finds that the SCBB estimator has unbiased properties and follows a normal distribution. Based on the property of the estimator obtained, the SCBB parameter estimation method in the dynamic SDM panel model works well in overcoming endogeneity and spatial dependence problems.
{"title":"Estimator’s Property of Spatially Corrected Blundell-Bond on Dynamic of Spatial Durbin Panel Model Using Monte Carlo Simulation","authors":"Widya Reza, H. Pramoedyo, Rahma Fitriani","doi":"10.21512/comtech.v10i2.5665","DOIUrl":"https://doi.org/10.21512/comtech.v10i2.5665","url":null,"abstract":"This research discussed the properties of Spatially Corrected Blundell-Bond (SCBB) in overcoming the problem of endogeneity and spatial dependence that occur in dynamic Spatial Durbin Model (SDM) panels. The properties of the estimator tested were unbiased and normality. The properties test of the estimator was carried out using the Monte Carlo simulation approach. From the results of this research, it finds that the SCBB estimator has unbiased properties and follows a normal distribution. Based on the property of the estimator obtained, the SCBB parameter estimation method in the dynamic SDM panel model works well in overcoming endogeneity and spatial dependence problems.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":"10 1","pages":"49-57"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42865379","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 : 2019-12-31DOI: 10.21512/comtech.v10i2.5686
Dian Grace Ludji, P. Sianturi, E. H. Nugrahani
This research focused on the modification of deterministic mathematical models for tuberculosis with vaccination. It also aimed to see the effect of giving the vaccine. It was done by adding vaccine compartments to people who were given the vaccine in the susceptible compartment. The population was divided into nine different groups. Those were susceptible individuals (S), vaccine (V), new latently infected (E1), diagnosed latently infected (E2), undiagnosed latently infected (E3), undiagnosed actively infected (l), diagnosed actively infected with prompt treatment (Dr), diagnosed actively infected with delay treatment (Dp), and treated (T). Basic reproduction number was constructed using next-generation matrix. Sensitivity analysis was also conducted. The results show that the model comprises two equilibriums: diseasefree equilibrium (T0) and endemic equilibrium (T*). It also shows that there is a relationship between R0 and two equilibriums. Moreover, the disease-free equilibrium point is asymptotically stable local when it is R0 1. Furthermore, the parameters of β, ρ, and γ are the most important parameter.
{"title":"Dynamical System of the Mathematical Model for Tuberculosis with Vaccination","authors":"Dian Grace Ludji, P. Sianturi, E. H. Nugrahani","doi":"10.21512/comtech.v10i2.5686","DOIUrl":"https://doi.org/10.21512/comtech.v10i2.5686","url":null,"abstract":"This research focused on the modification of deterministic mathematical models for tuberculosis with vaccination. It also aimed to see the effect of giving the vaccine. It was done by adding vaccine compartments to people who were given the vaccine in the susceptible compartment. The population was divided into nine different groups. Those were susceptible individuals (S), vaccine (V), new latently infected (E1), diagnosed latently infected (E2), undiagnosed latently infected (E3), undiagnosed actively infected (l), diagnosed actively infected with prompt treatment (Dr), diagnosed actively infected with delay treatment (Dp), and treated (T). Basic reproduction number was constructed using next-generation matrix. Sensitivity analysis was also conducted. The results show that the model comprises two equilibriums: diseasefree equilibrium (T0) and endemic equilibrium (T*). It also shows that there is a relationship between R0 and two equilibriums. Moreover, the disease-free equilibrium point is asymptotically stable local when it is R0 1. Furthermore, the parameters of β, ρ, and γ are the most important parameter.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":"10 1","pages":"59-66"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45177147","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}
The objectives of this study were to determine the effectiveness of K-440 haul trucks based on Overall Equipment Effectiveness (OEE) calculation, to find out the main factors that caused the ineffectiveness of K-440 haul trucks based on fishbone diagram and Failure Mode and Effect Analysis (FMEA), and to analyze the proposed implementation of appropriate improvements to overcome the main problems of K-440 haul trucks. The method used was the mixed method, and the type of research was descriptive. The analysis methods used were OEE, fishbone diagram, and FMEA. The results show that the average effectiveness of the three K-440haul trucks is still far below international standards, which is 44,99%. The material is a significant factor that causes low OEE based on fishbone diagram analysis. There are five problems based on the Risk Priority Number (RPN) critical value from FMEA analysis, namely transmission which is not functioning properly, worn brake lining, unrotated propeller shaft on the shaft, cracked brake drum, and broken spring. Then, the implementation of eight pillars of Total Productive Maintenance (TPM) is proposed in overcoming the main problem of K-440haul trucks. Based on these results, the company needs to implement eight pillars of TPM and carry out OEE calculations regularly.
{"title":"The Measurement and Improvement of Effectiveness in K-440 Haul Truck Using Overall Equipment Effectiveness in Coal Mining Company","authors":"Shelvy Kurniawan, Ayesha Azaria, Talitha Alzena, Yandri Habib Dwicahyo","doi":"10.21512/COMTECH.V10I2.5692","DOIUrl":"https://doi.org/10.21512/COMTECH.V10I2.5692","url":null,"abstract":"The objectives of this study were to determine the effectiveness of K-440 haul trucks based on Overall Equipment Effectiveness (OEE) calculation, to find out the main factors that caused the ineffectiveness of K-440 haul trucks based on fishbone diagram and Failure Mode and Effect Analysis (FMEA), and to analyze the proposed implementation of appropriate improvements to overcome the main problems of K-440 haul trucks. The method used was the mixed method, and the type of research was descriptive. The analysis methods used were OEE, fishbone diagram, and FMEA. The results show that the average effectiveness of the three K-440haul trucks is still far below international standards, which is 44,99%. The material is a significant factor that causes low OEE based on fishbone diagram analysis. There are five problems based on the Risk Priority Number (RPN) critical value from FMEA analysis, namely transmission which is not functioning properly, worn brake lining, unrotated propeller shaft on the shaft, cracked brake drum, and broken spring. Then, the implementation of eight pillars of Total Productive Maintenance (TPM) is proposed in overcoming the main problem of K-440haul trucks. Based on these results, the company needs to implement eight pillars of TPM and carry out OEE calculations regularly.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":"10 1","pages":"43-48"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49453666","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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