Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)最新文献

{"title":"Comparison of Job Evaluation Methods: Implications for the Salaries Design in Publishing Company","authors":"L. W. Suwarsono, A. Aisha, F. N. Nugraha","doi":"10.2991/icoemis-19.2019.42","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.42","url":null,"abstract":"- Job evaluation is an crucial factor in compensation design because it relates to issues of equity and worker satisfaction. Case study at the Human Resources Department of a publishing company show that there is a problem with the compensation system that is felt to be unfair. The existing method used in the company was job classification without considering workload. Therefore, it is important to determine the job relative value as a reference for designing compensation. This study compared two job evaluation approach using point system method: (1) an adjusted factors and weight; (2) standardized factors and weight using Cullen Egan Dell. Finding in this study shows that different approach in conducting the job evaluation results different number of job clusters. It will affect the proposed compensation design, which from the first approach (1) requires an increase in compensation budget of 4.9% from the existing budget, while second approach (2) requires a higher budget allocation of 11.6%. Based on the results of the comparison, company can choose alternatives that align with availability of budget, business strategies and compensation strategies to retain employees or recruit potential prospective employees.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115827317","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}

{"title":"Design Improvement At Shearing And Tandem Cold Milling Process Of Full Hard 0,2 X 914 Mm Products In Steel Manufacturing With Six Sigma Method","authors":"A. Pratiwi, Marina Yustiana Lubis, A. Yanuar","doi":"10.2991/icoemis-19.2019.51","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.51","url":null,"abstract":". This research aims to address the problems that are facing a largest steel manufacturing in Indonesia in producing steel is production failure that is caused by process so that it produces defect. The steel manufacturing produces 3 types of products, the named are Hot Rolled Plate, As Rolled and Full Hard. For Full Hard products there are 3 types of popular sizes that are often produced, the sizes are 0.2 x 914 mm, 0.25 x 914 mm and 0.7 x 1219 mm. When compared to the two popular sizes, Full Hard 0.2 x 914 mm products have the highest number of defective products. The percentage of these non-achievements is indicated by defects as in the year 2018 of January until December occurred a defective average of 16% or 1,617 tons This research will focus on improving the Shearing process and the Tandem Cold Mill that causes Saw Tooth Edge, Pick Up and Friction Pick Up defects. This research is done by using Six Sigma methodology (DMAIC) is used to minimize the occurrence of problems in the Shearing process and the Tandem Cold Mill. To find out the cause of a defect in a problematic process, an analysis using fishbone diagrams and 5 why’s, then determines the defect repair priority using FMEA.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132325691","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}

{"title":"Mental Workload Evaluation of Machining Tool Operators in Manufacturing SMEs","authors":"A. Aisha, F. N. Nugraha, L. W. Suwarsono","doi":"10.2991/icoemis-19.2019.41","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.41","url":null,"abstract":"Human resource is an important factor that affects productivity in manufacturing companies. 37% product completion delay in a manufacturing SME in 2017 was due to human factors especially mental workload related. This study aims to measure the level of mental workload based on the type of work and shift work, using the NASA TLX. Samples were 10 male operators from five machining jobs (i.e. lathe, milling, brazing, surface grinding, and cylindrical grinding) in two working shifts. Result shows that the average mental workload on the day shift was slightly higher than the morning shift. In the morning shift, Lathe operator has the highest mental workload (MWL) with a score of 76.67, meanwhile the Brazing operators has the highest MWL on the day shift with a score of 66.67. This result indicates that mental workload on machining tool operators is classified as high. Furthermore, there are significant differences for the indicator of frustration level (FR) between shift works with a significance value of 0.09 (p <0.1). The company needs to allocate employee break time on the night shift to minimize their perceived stress level and to set work targets accordance to individual capabilities.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114429458","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}

{"title":"Application of Six Sigma Method with DMAI Approach in Railway Manufacturing Company","authors":"Tania Silvani, A. Yanuar, W. Juliani","doi":"10.2991/icoemis-19.2019.28","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.28","url":null,"abstract":"As one of railway manufacturing company in Southeast Asia, quality is an important factor in maintaining customer satisfaction and one of the key success in business competition. During the railway production, there is problem in the assembly process of car body sub assembly, namely underframe. Defective products have been found which cause the underframe to be repair, so the underframe production is delayed. The type of defect is porosity, which results from the welding process during the assembly process. Therefore, this study uses the Six Sigma method with the Define – Measure – Analyze – Improve (DMAI) approach to give improvements on welding process so the defect which is porosity will be reduced or may not exist and to maintain the quality. Define phase using Supplier – Input – Process – Output – Customer (SIPOC) diagram and Critical to Quality (CTQ). Measure phase using c-Chart to know the process stability, then Cp and Sigma Level to know the process capability. Fishbone diagram and Failure Mode Effect Analysis (FMEA) are used in the analyze phase. The result of FMEA is the base to design improvements in the improve phase, the improvements are material storage characteristics, workstation design and procedure display. Introduction As one of railway manufacturing company in Southeast Asia, quality is an important factor in maintaining customer satisfaction and one of the key success in business competition [1]. Also, this railway manufacturing company has to improve its quality, which is the products that have been produced must be zero defects [2]. The core product of this railway manufacturing company is train. One train consist of two main components, which are bogie and car body. The components that arrange one car body are shown in the Figure 1. One of car body sub assembly, namely underframe (Figure 2), has its problem. The problem is, defective products have been found which cause the underframe to be repair, so the underframe production is delayed. The production data of underframe is shown in Table 1. It can be seen from Table 1 that the type of defect is porosity. The identified defects are located in different connections, which are on the side sill connection and the center sill connection. There are 12 joints that need to be inspected on each connection, so the total is 24 joints. Porosity (Figure 3) comes from the welding process during the assembly of underframe’ components. The components of underframe (Figure 2) are front end, rear end, side sill, center sill, and cross beam. Therefore, this study uses the Six Sigma method with DMAI approach to give improvements on welding process so the defect which is porosity will be reduced or may not exist and to maintain the quality. 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-n","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124257838","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}

{"title":"Supply Chain Performance Measurement using Hybrid SCOR Model and System Dynamics","authors":"N. Ikasari, Yuniaristanto, W. Sutopo","doi":"10.2991/icoemis-19.2019.33","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.33","url":null,"abstract":". Production unit of lithium ion battery Sebelas Maret University (UNS) that become Indonesia’s first solution to the problem energy in Indonesia, where the need is increased while the source of its acquisition will be increasingly rare. In this case, it is important to supply chain performance rated. Supply Chain Operations Reference (SCOR) is method of supply chain performance assessment based on 5 indicators; reliability, responsiveness, cost, asset management , and agility. Assessment of the SCOR framework presents business processes, performance indicators, best practices and technology to support communications and collaboration among supply chain partners to improve the effectiveness of supply chain management and consummation of the supply chain. SCOR focus on causality measures in the form of a linear correlation. This situation becomes a weakness because the SCOR method cannot continue the steps specific to a future that can predict performance. Study on SCOR combined with system dynamics (SD) can identify 4 perspective and variable interactions associated with causal loop design model. SCOR model and SD gives the value of a more effective and compelling. The initial findings of this study are 27 verified metrics which were then made causal loop diagrams that illustrate the causal relationship between these metrics. The final result of this research in the form of a simulation model at powersim or called flow diagram can show the entire supply chain system and its relevance.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125329561","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}

{"title":"Enhancing Thermal-Shock Reliability of a Sleeveless Power Inductor Assembly upon Reflow Soldering","authors":"Fildzah Fajrina, T. Sjafrizal, R. A. Anugraha","doi":"10.2991/icoemis-19.2019.50","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.50","url":null,"abstract":"Employing magnetic resin in between the upper and bottom flange of a drum core is proven design in boosting the performance of a power inductor. The optimum core design and magnetic resin characteristic were investigated to improve the thermal shock reliability of the component upon reflow soldering. Finite element modelling (FEM) was utilised to simulate the response of the assemblies to the variations of the core inner radius (rc), upper flange thickness (t) and the coefficient of thermal expansion of magnetic resin (CTEmr). The assessment of those designs was conducted at a reflow oven, modelled by the computational fluid dynamic technique (CFD), on sixteen designs generated by the orthogonal array. The results showed that the inner radius of the drum core was the most vital parameter in designing a drum core in preventing core crack upon reflow soldering. The optimum design of the drum core was obtained at 0.5 mm inner radius of drum core, 0.3 mm upper flange thickness and 2.8 ppm/K coefficient thermal expansion of magnetic resin. Those findings may be used as a reference for designing a similar drum core of a power inductor.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127065513","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}

{"title":"Spatial Planning of Renewable Energy-Based Minapolitan Region","authors":"H. Handayani, E. Sadirsan, A. Uyun, Slamet Soegeng","doi":"10.2991/icoemis-19.2019.58","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.58","url":null,"abstract":". Minapolitan derived from the word 'mina' which means fisheries, and 'politan' , means multi-activities. E3i village concept (Energy, Economy and Environment Independent) aims at empowering rural communities to have access to renewable energy for the improvement of economic and production activity in the development of sustainable environment. This concept is intended to create a self-helping spirit among rural communities who have lived so long in poverty and lack access to basic energy needs. Meanwhile Minapolitan region is a region that has the main function of the economy consists of production centers, processing, marketing of fishery commodities, services, and / or other supporting activities. Tanjung Pasir village in the district of Teluk Naga, Tangerang regency, Banten province is a coastal village whose majority are fishermen. The village is great potential to be the Minapolitan. This study intends to revitalize the area of Tanjung Pasir through E3i concept and Minapolitan by renewable energy as the source of energy.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132448274","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}

{"title":"Solving Office Ergonomics Problem Using Rapid Upper Limb Assessment (RULA)","authors":"Ken Erliana, F. Kautsar, Digitha Oktaviani, D. Yuniawan, Samsudin Hariyanto, Djoko Andriono, E. Mohamad, Rizal Firdiansyah","doi":"10.2991/icoemis-19.2019.3","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.3","url":null,"abstract":"This research took place in the Industrial computation laboratory, where the main function of the laboratory as a place of practical activity related to industrial engineering software for students. From the results of the Nordic Body Map preliminary questionnaire (NBM) showed that the highest percentage after students doing computer practically for 2 hours was the pain in the sitting position when operating the computer (typing and holding the mouse). Based on the analysis that has been used with the RULA method for positions at the time of computer operation, the results of risk level 3 to 4 are obtained (long-term action is needed) and the risk level is 5 6 (immediate action is required). To reduce the level of student injury risk during the learning process, this research proposes a redesign work desk position and seat position with a work station design approach based on student’s anthropometric data by utilizing RULA. The three results of work station design proposals, computer desks namely table mat height 78 cm, 83 cm wide, and 45 cm long, 68 cm height keyboard and for chairs namely 49 cm seat height, 42 cm seat base width, 46 cm pedestal length, width of backrest 42 cm, height of backrest 58 cm with a slope of 5 degree. By paying concern to the student’s posture, the design proposal should appropriate and decrease the risk level of students who operating computer into level 1 – 2 (acceptance posture)","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"314 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121011320","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}

{"title":"Route Determination Method to Minimize Distribution Cost and Total Time Balance by Using Multi-Objective Genetic Algorithm","authors":"Krismodianto, Santoso","doi":"10.2991/icoemis-19.2019.25","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.25","url":null,"abstract":". The subject of this research is a distribution company engaged in the distribution of eggs to many customers in Bandung. Distribution is carried out every day with 3 types of vehicles which are one way pick up, three ways pick up, and engkel truck. Based on preliminary research, the current route determination method is based on experience so the distance and travel time are thought could be improved. This affects the distribution costs that must be spent to distribute eggs to customers. Distributor also experience workload imbalance of vehicles that be used for the distribution process regarding to the travel time charged to each vehicle. The proposal in this study is used the metaheuristic method with the multi-objective genetic algorithm concerning to the multi-objective vehicle routing problem. This research is conducted during the fourth week of October 2018 and the chosen method is the proposed route determination method. The results of the comparison between the current system and the proposed system from this study obtained savings in terms of distribution costs of 18.03%, while in terms of total time balance, the distribution time range can be reduced to 95.52% so the workload of the vehicles are more balanced.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122691714","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}

{"title":"Human Error Probability of Grinding Operation in Fabrication and Construction Company Using Fuzzy HEART Method","authors":"Mila Ariefiani, L. Handoko, H. N. Amrullah, Luqman Ashari, Muhammad Shah, F. Hamzah","doi":"10.2991/icoemis-19.2019.17","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.17","url":null,"abstract":". The accident record from the construction and fabrication company in 2015 until 2018 shows that the highest accident rate is in grinding operation with a percentage of 26%. The main accidents was caused by human error with a percentage 66.67%. This study aims to determine HEPs (Human Error Probabilities) to find out the highest cause of an error, to minimize human error potential, and to determine recommendations. This research determine the HEP values by using HEART (Human Error Assessment and Reduction Technique) method. Fuzzy linguistic approach was integrated on APOA (Assessed Proportion of Affect) determination in order to reduce the expert judgment subjectivity and inconsistency. The calculation result and analysis reveal that the highest Human Error Probabilities (HEP) value is 0.71324 which is shown by the task check the condition of safety guard or protector. Reducing the risk factor and focusing on the main cause of accident are determined by using Impact Assessment to get the risk rating of error and possible error. Some recommendations are given and prioritized based on high rating of error using Error Reduction Analysis.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121984145","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}