This study aims to determine the optimal order quantity of K71T welding wire for PT BMI's boiler production process to reduce storage and inventory costs. The Economic Order Quantity (EOQ) method is applied to calculate the optimal amount of material to be ordered in one period. The results show that the total inventory cost using the EOQ method is Rp. 89,060,000,- compared to the company policy of Rp. 290,840,000,-. The optimal number of orders is 407 boxes with a purchase frequency of 4 times per year and a safety stock of 181 boxes. The findings of this study can be used as a reference for other manufacturing companies that face similar procurement challenges to optimize their inventory management and reduce costs. Highlight : The study determines the optimal order quantity of K71T welding wire, reducing storage and inventory costs. The Economic Order Quantity (EOQ) method is applied, resulting in a total inventory cost of Rp. 89,060,000,- compared to the company policy of Rp. 290,840,000,-. The findings can be used as a reference for other manufacturing companies facing similar procurement challenges to optimize their inventory management and reduce costs. Keywords: welding wire, optimal order quantity, inventory management, procurement challenges, manufacturing companies
{"title":"A Planning Purchasing Policies for Raw Material Welding Wire Using Economic Order Quantity (EOQ) Method to Reduce Overstock","authors":"Mike Vidiasari, R. B. Jakaria","doi":"10.21070/pels.v7i0.1587","DOIUrl":"https://doi.org/10.21070/pels.v7i0.1587","url":null,"abstract":"This study aims to determine the optimal order quantity of K71T welding wire for PT BMI's boiler production process to reduce storage and inventory costs. The Economic Order Quantity (EOQ) method is applied to calculate the optimal amount of material to be ordered in one period. The results show that the total inventory cost using the EOQ method is Rp. 89,060,000,- compared to the company policy of Rp. 290,840,000,-. The optimal number of orders is 407 boxes with a purchase frequency of 4 times per year and a safety stock of 181 boxes. The findings of this study can be used as a reference for other manufacturing companies that face similar procurement challenges to optimize their inventory management and reduce costs. \u0000Highlight : \u0000 \u0000The study determines the optimal order quantity of K71T welding wire, reducing storage and inventory costs. \u0000The Economic Order Quantity (EOQ) method is applied, resulting in a total inventory cost of Rp. 89,060,000,- compared to the company policy of Rp. 290,840,000,-. \u0000The findings can be used as a reference for other manufacturing companies facing similar procurement challenges to optimize their inventory management and reduce costs. \u0000 \u0000Keywords: welding wire, optimal order quantity, inventory management, procurement challenges, manufacturing companies","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"95 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140443996","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}
Accurate demand forecasting is crucial for companies engaged in smelting, such as PT IMLI, to prevent shortages and inventory increases. This research aims to determine the most appropriate forecasting method for raw material demand based on historical data. Three methods were used: moving average with n = 3 and n = 5, and exponential smoothing with α = 0.2. The results showed that the Exponential Smoothing Method with α = 0.2 had the smallest error rate, with a MAPE value of 23%, MAD of 411, and MSE of 293303. This method can be used to optimize demand forecasting for the next period, ensuring that the company has sufficient raw materials for black tin smelting. Highlight : Accurate demand forecasting is crucial for companies engaged in smelting to prevent shortages and inventory increases. Three methods were used to determine the most appropriate forecasting method for raw material demand based on historical data: moving average with n = 3 and n = 5, and exponential smoothing with α = 0.2. The Exponential Smoothing Method with α = 0.2 had the smallest error rate, with a MAPE value of 23%, MAD of 411, and MSE of 293303, and can be used to optimize demand forecasting for the next period. Keywords: demand forecasting, smelting, raw materials, historical data, moving average, exponential smoothing.
{"title":"Forecasting Analysis of Raw Material Demand in the Battery Breaker Production Process at PT IMLI","authors":"Muhammad Hizam Anshori, A. S. Cahyana","doi":"10.21070/pels.v7i0.1588","DOIUrl":"https://doi.org/10.21070/pels.v7i0.1588","url":null,"abstract":"Accurate demand forecasting is crucial for companies engaged in smelting, such as PT IMLI, to prevent shortages and inventory increases. This research aims to determine the most appropriate forecasting method for raw material demand based on historical data. Three methods were used: moving average with n = 3 and n = 5, and exponential smoothing with α = 0.2. The results showed that the Exponential Smoothing Method with α = 0.2 had the smallest error rate, with a MAPE value of 23%, MAD of 411, and MSE of 293303. This method can be used to optimize demand forecasting for the next period, ensuring that the company has sufficient raw materials for black tin smelting. \u0000Highlight : \u0000 \u0000Accurate demand forecasting is crucial for companies engaged in smelting to prevent shortages and inventory increases. \u0000Three methods were used to determine the most appropriate forecasting method for raw material demand based on historical data: moving average with n = 3 and n = 5, and exponential smoothing with α = 0.2. \u0000The Exponential Smoothing Method with α = 0.2 had the smallest error rate, with a MAPE value of 23%, MAD of 411, and MSE of 293303, and can be used to optimize demand forecasting for the next period. \u0000 \u0000Keywords: demand forecasting, smelting, raw materials, historical data, moving average, exponential smoothing.","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"96 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140443990","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}
This study presents a research proposal aimed at addressing the need for improved internal management systems in the logistics industry. The goal is to introduce an Employee Tracking System (ETS) module integrated with the Human Resource Information System (HRIS) to facilitate real-time communication and problem-solving within the organization. The study focuses on the practical challenges of organizational management and the ongoing evolution of information technology in the workplace. The proposed ETS module is expected to enhance employee communication and streamline issue resolution, ultimately contributing to improved organizational efficiency and effectiveness. The research methodology involves a one-month internship program, during which students will work on implementing the ETS module and evaluating its impact on internal management processes. The results of this study are expected to provide valuable insights into the potential benefits of integrating information systems in the logistics industry, with implications for similar organizations seeking to modernize their internal management practices. Highlight : Problem: Logistics industry needs better internal management systems. Solution: Integrate Employee Tracking System (ETS) with Human Resource Information System (HRIS) for real-time communication and problem-solving. Research: Internship program implements and evaluates ETS module to assess impact on efficiency and effectiveness. Keywords: Logistics, Employee Tracking System, HRIS integration, Real-time communication, Organizational efficiency
{"title":"Development of ETS (E-Ticketing System) Module for Issue Management at PT Pelayaran Nasional Ekalya Purnamasari","authors":"Muhammad Syamsuddin, Uce Indahyanti","doi":"10.21070/pels.v7i0.1586","DOIUrl":"https://doi.org/10.21070/pels.v7i0.1586","url":null,"abstract":"This study presents a research proposal aimed at addressing the need for improved internal management systems in the logistics industry. The goal is to introduce an Employee Tracking System (ETS) module integrated with the Human Resource Information System (HRIS) to facilitate real-time communication and problem-solving within the organization. The study focuses on the practical challenges of organizational management and the ongoing evolution of information technology in the workplace. The proposed ETS module is expected to enhance employee communication and streamline issue resolution, ultimately contributing to improved organizational efficiency and effectiveness. The research methodology involves a one-month internship program, during which students will work on implementing the ETS module and evaluating its impact on internal management processes. The results of this study are expected to provide valuable insights into the potential benefits of integrating information systems in the logistics industry, with implications for similar organizations seeking to modernize their internal management practices. \u0000Highlight : \u0000 \u0000Problem: Logistics industry needs better internal management systems. \u0000Solution: Integrate Employee Tracking System (ETS) with Human Resource Information System (HRIS) for real-time communication and problem-solving. \u0000Research: Internship program implements and evaluates ETS module to assess impact on efficiency and effectiveness. \u0000 \u0000Keywords: Logistics, Employee Tracking System, HRIS integration, Real-time communication, Organizational efficiency","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"49 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140444813","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}
This study aimed to investigate critical factors contributing to defective Epodion® rh-Erythropoietin Alfa syringes, specifically focusing on reducing cracks during manufacturing. A Failure Mode and Effect Analysis (FMEA) approach was employed to identify the primary causes of failure, revealing cracking as the predominant issue affecting 43% of defective units. To mitigate this concern, we calculated a Risk Priority Number (RPN) of 162, highlighting the significance of addressing material-related issues. By recommending enhanced quality control measures for raw materials prior to their utilization within the production process, our findings suggest potential improvements in material strength, thereby minimizing product defects Highlight : The study aimed to investigate factors contributing to defective Epodion® rh-Erythropoietin Alfa syringes, with a focus on reducing cracks during manufacturing. A Failure Mode and Effect Analysis (FMEA) approach was used to identify the primary causes of failure, revealing cracking as the predominant issue affecting 43% of defective units. Enhanced quality control measures for raw materials prior to their utilization within the production process were recommended to minimize product defects. Keywords: Epodion, rh-Erythropoietin Alfa, syringes, FMEA, quality control.
{"title":"Quality Control Analysis Using the Failure Mode and Effect Analysis Method","authors":"Muchammad Lukman Hakim, A. S. Cahyana","doi":"10.21070/pels.v7i0.1589","DOIUrl":"https://doi.org/10.21070/pels.v7i0.1589","url":null,"abstract":"This study aimed to investigate critical factors contributing to defective Epodion® rh-Erythropoietin Alfa syringes, specifically focusing on reducing cracks during manufacturing. A Failure Mode and Effect Analysis (FMEA) approach was employed to identify the primary causes of failure, revealing cracking as the predominant issue affecting 43% of defective units. To mitigate this concern, we calculated a Risk Priority Number (RPN) of 162, highlighting the significance of addressing material-related issues. By recommending enhanced quality control measures for raw materials prior to their utilization within the production process, our findings suggest potential improvements in material strength, thereby minimizing product defects \u0000Highlight : \u0000 \u0000The study aimed to investigate factors contributing to defective Epodion® rh-Erythropoietin Alfa syringes, with a focus on reducing cracks during manufacturing. \u0000A Failure Mode and Effect Analysis (FMEA) approach was used to identify the primary causes of failure, revealing cracking as the predominant issue affecting 43% of defective units. \u0000Enhanced quality control measures for raw materials prior to their utilization within the production process were recommended to minimize product defects. \u0000 \u0000Keywords: Epodion, rh-Erythropoietin Alfa, syringes, FMEA, quality control.","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"7 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140445607","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}
To address stockouts and overstock concerns in Accu scrap processing, this research introduces the application of the Min-Max method to enhance inventory control performance. Implementing this approach on bullion and ingot products resulted in a 33% improvement in inventory management effectiveness. The Min-Max method facilitated the determination of safe stock levels, minimal order quantities, and reorder points, thereby promoting efficient resource allocation and supply chain optimization. Consequently, manufacturers experienced reduced operating expenses while maintaining competitive edge and responsiveness to market dynamics Highlight : The Min-Max method improved inventory management effectiveness by 33%. This approach facilitated the determination of safe stock levels, minimal order quantities, and reorder points. Manufacturers experienced reduced operating expenses while maintaining competitive edge and responsiveness to market dynamics. Keywords: Accu scrap processing, Min-Max method, inventory control, supply chain optimization, resource allocation
{"title":"Accu Scrap Raw Material Inventorycontrol Using the Min- Max Method","authors":"Muhammad Nur Faizin, R. B. Jakaria","doi":"10.21070/pels.v7i0.1590","DOIUrl":"https://doi.org/10.21070/pels.v7i0.1590","url":null,"abstract":"To address stockouts and overstock concerns in Accu scrap processing, this research introduces the application of the Min-Max method to enhance inventory control performance. Implementing this approach on bullion and ingot products resulted in a 33% improvement in inventory management effectiveness. The Min-Max method facilitated the determination of safe stock levels, minimal order quantities, and reorder points, thereby promoting efficient resource allocation and supply chain optimization. Consequently, manufacturers experienced reduced operating expenses while maintaining competitive edge and responsiveness to market dynamics \u0000Highlight : \u0000 \u0000The Min-Max method improved inventory management effectiveness by 33%. \u0000This approach facilitated the determination of safe stock levels, minimal order quantities, and reorder points. \u0000Manufacturers experienced reduced operating expenses while maintaining competitive edge and responsiveness to market dynamics. \u0000 \u0000Keywords: Accu scrap processing, Min-Max method, inventory control, supply chain optimization, resource allocation","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"90 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140444213","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}
This study investigated the chicken sausage production process and explored problem-solving strategies using fishbone diagrams. The analysis identified key stages, including raw material preparation, grinding, mixing, molding, cooking, cooling, cutting, and packaging. Fishbone diagrams were employed to systematically dissect process issues, revealing root causes related to personnel, methods, machines, materials, and environment. The findings highlight the effectiveness of fishbone diagrams for identifying and addressing production bottlenecks, paving the way for optimized efficiency and quality control in sausage manufacturing. Highlight : Process breakdown: The study identified key stages in chicken sausage production (preparation, grinding, mixing, etc.) using fishbone diagrams. Root cause analysis: Fishbone diagrams helped pinpoint root causes of process issues across various factors (personnel, methods, machines, etc.). Quality improvement: The findings suggest fishbone diagrams as an effective tool for identifying and addressing bottlenecks, leading to optimized efficiency and quality control. Keywords: chicken sausage, production process, fishbone diagrams, problem-solving, quality control
{"title":"Chicken Sausage Production Process At PT. Charoen Pokphand Indonesia Food Division, Ngoro Unit","authors":"Irma Kiranti, L. Hudi, Rifky Pradiko","doi":"10.21070/pels.v7i0.1494","DOIUrl":"https://doi.org/10.21070/pels.v7i0.1494","url":null,"abstract":"This study investigated the chicken sausage production process and explored problem-solving strategies using fishbone diagrams. The analysis identified key stages, including raw material preparation, grinding, mixing, molding, cooking, cooling, cutting, and packaging. Fishbone diagrams were employed to systematically dissect process issues, revealing root causes related to personnel, methods, machines, materials, and environment. The findings highlight the effectiveness of fishbone diagrams for identifying and addressing production bottlenecks, paving the way for optimized efficiency and quality control in sausage manufacturing. \u0000Highlight : \u0000 \u0000Process breakdown: The study identified key stages in chicken sausage production (preparation, grinding, mixing, etc.) using fishbone diagrams. \u0000Root cause analysis: Fishbone diagrams helped pinpoint root causes of process issues across various factors (personnel, methods, machines, etc.). \u0000Quality improvement: The findings suggest fishbone diagrams as an effective tool for identifying and addressing bottlenecks, leading to optimized efficiency and quality control. \u0000 \u0000Keywords: chicken sausage, production process, fishbone diagrams, problem-solving, quality control","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"39 25","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140449251","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}
This study investigates the efficiency of roving machines at PT. Mertex Indonesia, revealing elevated downtime as a critical impediment impacting production flow and leading to decreased Overall Equipment Effectiveness (OEE) levels below industry benchmarks. By employing the OEE framework, we quantified the current state's performance at 66.92%, highlighting substantial room for improvement. Our findings underscore the need for targeted interventions aimed at reducing unplanned stoppages and enhancing equipment reliability, ultimately driving towards compliance with globally recognized best practices. Highlight : Elevated downtime significantly impacts production flow and leads to low OEE levels. The current OEE level stands at 66.92% indicating significant potential for improvement. Targeted interventions aim to reduce unplanned stoppages and enhance equipment reliability, aligning with global best practices. Keywords: PT. Mertex Indonesia, roving machines, downtime, Overall Equipment Effectiveness (OEE), production flow.
本研究调查了 PT.Mertex Indonesia 公司粗纱机的效率。Mertex Indonesia 公司的粗纱机效率进行了调查，发现停机时间过长是影响生产流程的关键因素，并导致整体设备效率 (OEE) 水平下降，低于行业基准。通过采用 OEE 框架，我们将目前的绩效水平量化为 66.92%，凸显了巨大的改进空间。我们的研究结果表明，有必要采取有针对性的干预措施，以减少意外停机，提高设备可靠性，最终达到全球公认的最佳实践标准。亮点：停机时间过长严重影响生产流程，导致 OEE 水平低下。目前的 OEE 水平为 66.92%，显示出巨大的改进潜力。有针对性的干预措施旨在减少计划外停机，提高设备可靠性，与全球最佳实践保持一致。 关键词：PT：PT.Mertex Indonesia、粗纱机、停机时间、整体设备效率（OEE）、生产流程。
{"title":"Maintenance, OEE, Effectiveness Roving Machine Maintenance Using the Overall Equipment Effectiveness (OEE) Method at PT. Mertex Indoensia","authors":"Alfien Ramadhan Syach Putera, Inggit Marodiyah","doi":"10.21070/pels.v7i0.1593","DOIUrl":"https://doi.org/10.21070/pels.v7i0.1593","url":null,"abstract":"This study investigates the efficiency of roving machines at PT. Mertex Indonesia, revealing elevated downtime as a critical impediment impacting production flow and leading to decreased Overall Equipment Effectiveness (OEE) levels below industry benchmarks. By employing the OEE framework, we quantified the current state's performance at 66.92%, highlighting substantial room for improvement. Our findings underscore the need for targeted interventions aimed at reducing unplanned stoppages and enhancing equipment reliability, ultimately driving towards compliance with globally recognized best practices. \u0000Highlight : \u0000 \u0000Elevated downtime significantly impacts production flow and leads to low OEE levels. \u0000The current OEE level stands at 66.92% indicating significant potential for improvement. \u0000Targeted interventions aim to reduce unplanned stoppages and enhance equipment reliability, aligning with global best practices. \u0000 \u0000Keywords: PT. Mertex Indonesia, roving machines, downtime, Overall Equipment Effectiveness (OEE), production flow.","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"254 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140448363","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}
This study aims to evaluate the efficiency of generators as backup power sources through daily, monthly, and annual routine maintenance analysis to improve their reliability, availability, and operational health. The study was conducted in compliance with regulations related to electrical maintenance of aviation facilities and power plants. The methods used to determine the efficiency of generators include Mean Time Between Failures (MTBF), Actual Operating Time (AOT), Specified Operating Time (SOT), Probability, and Availability. The results show that the availability and average compliance of each generator can be determined through these calculations. The implication of this study is that it provides a framework for evaluating the efficiency and reliability of generators, which can be used to improve the performance of backup power sources. Highlight : Regular maintenance analysis is crucial for improving the efficiency and reliability of generators. Mean Time Between Failures (MTBF) and Actual Operating Time (AOT) are important metrics for evaluating the performance of generators. The study provides a framework for determining the availability and compliance of each generator, which can be used to improve their operational health. Keywords: generators, backup power sources, maintenance analysis, reliability, availability.
{"title":"Periodic Maintenance Analysis of Diesel Motor Generator Set 900 kVA Power as Backup Energy","authors":"Rois Nur Rofiq Salam, E. Widodo","doi":"10.21070/pels.v7i0.1597","DOIUrl":"https://doi.org/10.21070/pels.v7i0.1597","url":null,"abstract":"This study aims to evaluate the efficiency of generators as backup power sources through daily, monthly, and annual routine maintenance analysis to improve their reliability, availability, and operational health. The study was conducted in compliance with regulations related to electrical maintenance of aviation facilities and power plants. The methods used to determine the efficiency of generators include Mean Time Between Failures (MTBF), Actual Operating Time (AOT), Specified Operating Time (SOT), Probability, and Availability. The results show that the availability and average compliance of each generator can be determined through these calculations. The implication of this study is that it provides a framework for evaluating the efficiency and reliability of generators, which can be used to improve the performance of backup power sources. \u0000Highlight : \u0000 \u0000Regular maintenance analysis is crucial for improving the efficiency and reliability of generators. \u0000Mean Time Between Failures (MTBF) and Actual Operating Time (AOT) are important metrics for evaluating the performance of generators. \u0000The study provides a framework for determining the availability and compliance of each generator, which can be used to improve their operational health. \u0000 \u0000Keywords: generators, backup power sources, maintenance analysis, reliability, availability.","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"484 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140446643","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}
Protection and maintenance of electric motors in industrial environments that are susceptible to overloading has an important role. Overloading occurs when an electric motor is used with a load exceeding its normal capacity, which can cause damage and increase the risk of fire. To overcome this problem, maintenance is needed which aims to implement and maintain the electric motor protection system. This method includes theoretical and practical sessions, where knowledge will be provided about basic protection concepts, protection system components, as well as how to organize and apply protection to electric motors. By following these directions you can improve your in- depth understanding of electric motor protection, develop skills in implementing protection systems, and gain the necessary maintenance capabilities. Positive impacts of this industrial internship include the ability to identify overload risks and implement appropriate protection systems. This not only helps optimize energy use, but also increases the company's operational efficiency and reduces damage and production disruptions. Thus, this program has a crucial role in maintaining the sustainability and operational safety of electric motors in an industrial context that is vulnerable to overloading.
{"title":"Title In English","authors":"Akbar Rayhan Hasfi, Syamsudduha Syahrorini","doi":"10.21070/pels.v7i0.1596","DOIUrl":"https://doi.org/10.21070/pels.v7i0.1596","url":null,"abstract":"Protection and maintenance of electric motors in industrial environments that are susceptible to overloading has an important role. Overloading occurs when an electric motor is used with a load exceeding its normal capacity, which can cause damage and increase the risk of fire. To overcome this problem, maintenance is needed which aims to implement and maintain the electric motor protection system. This method includes theoretical and practical sessions, where knowledge will be provided about basic protection concepts, protection system components, as well as how to organize and apply protection to electric motors. By following these directions you can improve your in- depth understanding of electric motor protection, develop skills in implementing protection systems, and gain the necessary maintenance capabilities. Positive impacts of this industrial internship include the ability to identify overload risks and implement appropriate protection systems. This not only helps optimize energy use, but also increases the company's operational efficiency and reduces damage and production disruptions. Thus, this program has a crucial role in maintaining the sustainability and operational safety of electric motors in an industrial context that is vulnerable to overloading.","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"12 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139958416","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}
This research aims to address the absence of an employee performance assessment system at a company by designing and implementing a system using the Analytical Hierarchy Process (AHP) method. The goal is to support decision-making and evaluate employee productivity, ultimately maintaining high company productivity. The AHP method was utilized to determine the level of productivity of each existing employee, leading to changes in ranking positions for certain operators. The results highlight the effectiveness of the AHP-based assessment system in enhancing employee productivity and its potential implications for decision support in performance evaluation. Highlight : The research aims to design and implement an employee performance assessment system using the AHP method. The AHP method was effective in determining the level of productivity of each employee and led to changes in ranking positions for certain operators. The results highlight the potential implications of the AHP-based assessment system for decision support in performance evaluation. Keywords: employee performance assessment, Analytical Hierarchy Process (AHP), decision-making, productivity, performance evaluation
{"title":"Application of the AHP Method to Assesment of Performance Levels of Production Employees of the Zenbo Division of PT. Mertex Indonesia","authors":"Doni Prasetyo, Inggit Marodiyah","doi":"10.21070/pels.v7i0.1594","DOIUrl":"https://doi.org/10.21070/pels.v7i0.1594","url":null,"abstract":"This research aims to address the absence of an employee performance assessment system at a company by designing and implementing a system using the Analytical Hierarchy Process (AHP) method. The goal is to support decision-making and evaluate employee productivity, ultimately maintaining high company productivity. The AHP method was utilized to determine the level of productivity of each existing employee, leading to changes in ranking positions for certain operators. The results highlight the effectiveness of the AHP-based assessment system in enhancing employee productivity and its potential implications for decision support in performance evaluation. \u0000Highlight : \u0000 \u0000The research aims to design and implement an employee performance assessment system using the AHP method. \u0000The AHP method was effective in determining the level of productivity of each employee and led to changes in ranking positions for certain operators. \u0000The results highlight the potential implications of the AHP-based assessment system for decision support in performance evaluation. \u0000 \u0000Keywords: employee performance assessment, Analytical Hierarchy Process (AHP), decision-making, productivity, performance evaluation","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"917 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140446251","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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