My name is Aregawi yemane meresa. I received my BSC degree in industrial engineering from mekelle university, Ethiopian institute of technology- mekelle in 2013, MSC degree production engineering and management from Bahir Dar University in 2017. I am a lecturer in Bahir dar University since 2013 till now in the department of industrial engineering. My research interests are simulation, productivity, and operation research. Address: Ethiopia
Journal of Optimization in Industrial Engineering, 2018
This study deals with optimal layout design by line balancing using simulation modeling. Modeling... more This study deals with optimal layout design by line balancing using simulation modeling. Modeling and simulation are potential tools for analysis of the assembly lines like apparel of a garment manufacturing. The experiment controls the resources of the assembly line process without affecting the real production system. In this study the Arena software, AutoCAD and POM software are employed to model and measure the performance of the existing sewing line of the Ronny t-shirt model. The t-shirt has 12 major parts to be assembled. For each activity, the researcher has taken 15 sampling observations using stopwatch. All the collected data are statistically analyzed using arena input analyzer for statistically significance and determination of expressions to be used to the simulation modeling. Standard simulation model was developed and run for 160 replications. The result shows the line is operating with a line balance efficiency of 72.56%. In the course of action using Opt Quest diffe...
Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly ... more Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly distinguish between what is artificial and what is natural (e.g., man-made virus and natural virus). Thus, the level of discombobulation among people, companies, or countries is indeed unprecedented. The fact that industry 4.0 is explosively disrupting or retrofitting each and every industrial sector makes industry 4.0 the famous buzzword amongst researchers today. However, the insight of industry 4.0 disruption into the industrial sectors remains ill-defined in both academic and nonacademic literature. The present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technology convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in the education industry (education 4.0), energy industry (energy 4.0), agriculture industry (agriculture 4.0), he...
This paper deals with the service performance analysis and improvement using discrete event simul... more This paper deals with the service performance analysis and improvement using discrete event simulation has been used. The simulation of the heath care has been done by arena master development 14-version software. The performance measurement for this study are patients output, service rate, service efficiency and it is directly related to waiting time of patients in each service station, work in progress, resource utilization.Simulation model was building for Bahir Dar clinic and then, prepared the proposed model for the system. Based on the simulation model run result, the output of the existing healthcare service system is low due to presence of bottlenecks on the service system. Moreover, the station with the largest queue and high resource utilization are identified as a bottleneck. The bottlenecks, which have identified are reduced by using reassigning the existing resources and add new resources and merging the similar services, which has under low resource utilization (nurses...
Journal of Optimization in Industrial Engineering, 2018
This study deals with bottleneck detection with simulation techniques and time study. Modeling an... more This study deals with bottleneck detection with simulation techniques and time study. Modeling and simulation are potential tools for analyzing assembly lines such as clothing in a garment. Thus, the researchers attempted to experiment 160 numbers of replication in the arena tool. The experiment monitors the assembly process resources without altering the actual production scheme. In this study, the arena software and POM dedicated to modeling and measuring the performance of the existing Ronny t-shirt sewing line. The t-shirt is formed and has 12 main parts are assembled. For each activity, the researchers took 15 sampling observations using stopwatch. All the collected data are statistically analyzed using the input analyzer in arena for statistical significance and the expression resolution to be used for the simulation model. This simulation model has considered production resources like four threads over lock machines, single needle, two flat lock needles, machine operators, qu...
Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly ... more Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly distinguish between what is artificial and what is natural (e.g., man-made virus and natural virus). us, the level of discombobulation among people, companies, or countries is indeed unprecedented. e fact that industry 4.0 is explosively disrupting or retrofitting each and every industrial sector makes industry 4.0 the famous buzzword amongst researchers today. However, the insight of industry 4.0 disruption into the industrial sectors remains ill-defined in both academic and nonacademic literature. e present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technology convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in the education industry (education 4.0), energy industry (energy 4.0), agriculture industry (agriculture 4.0), healthcare industry (healthcare 4.0), and logistics industry (logistics 4.0) was described. e convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of ings, nano-technology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated. e study divulged the need for extensive research to expand the application areas of the disruptive technologies in the industrial sectors.
Journal of Optimization in Industrial Engineering, 2018
This study deals with optimal layout design by line balancing using simulation modeling. Modeling... more This study deals with optimal layout design by line balancing using simulation modeling. Modeling and simulation are potential tools for analysis of the assembly lines like apparel of a garment manufacturing. The experiment controls the resources of the assembly line process without affecting the real production system. In this study the Arena software, AutoCAD and POM software are employed to model and measure the performance of the existing sewing line of the Ronny t-shirt model. The t-shirt has 12 major parts to be assembled. For each activity, the researcher has taken 15 sampling observations using stopwatch. All the collected data are statistically analyzed using arena input analyzer for statistically significance and determination of expressions to be used to the simulation modeling. Standard simulation model was developed and run for 160 replications. The result shows the line is operating with a line balance efficiency of 72.56%. In the course of action using Opt Quest diffe...
Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly ... more Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly distinguish between what is artificial and what is natural (e.g., man-made virus and natural virus). Thus, the level of discombobulation among people, companies, or countries is indeed unprecedented. The fact that industry 4.0 is explosively disrupting or retrofitting each and every industrial sector makes industry 4.0 the famous buzzword amongst researchers today. However, the insight of industry 4.0 disruption into the industrial sectors remains ill-defined in both academic and nonacademic literature. The present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technology convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in the education industry (education 4.0), energy industry (energy 4.0), agriculture industry (agriculture 4.0), he...
This paper deals with the service performance analysis and improvement using discrete event simul... more This paper deals with the service performance analysis and improvement using discrete event simulation has been used. The simulation of the heath care has been done by arena master development 14-version software. The performance measurement for this study are patients output, service rate, service efficiency and it is directly related to waiting time of patients in each service station, work in progress, resource utilization.Simulation model was building for Bahir Dar clinic and then, prepared the proposed model for the system. Based on the simulation model run result, the output of the existing healthcare service system is low due to presence of bottlenecks on the service system. Moreover, the station with the largest queue and high resource utilization are identified as a bottleneck. The bottlenecks, which have identified are reduced by using reassigning the existing resources and add new resources and merging the similar services, which has under low resource utilization (nurses...
Journal of Optimization in Industrial Engineering, 2018
This study deals with bottleneck detection with simulation techniques and time study. Modeling an... more This study deals with bottleneck detection with simulation techniques and time study. Modeling and simulation are potential tools for analyzing assembly lines such as clothing in a garment. Thus, the researchers attempted to experiment 160 numbers of replication in the arena tool. The experiment monitors the assembly process resources without altering the actual production scheme. In this study, the arena software and POM dedicated to modeling and measuring the performance of the existing Ronny t-shirt sewing line. The t-shirt is formed and has 12 main parts are assembled. For each activity, the researchers took 15 sampling observations using stopwatch. All the collected data are statistically analyzed using the input analyzer in arena for statistical significance and the expression resolution to be used for the simulation model. This simulation model has considered production resources like four threads over lock machines, single needle, two flat lock needles, machine operators, qu...
Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly ... more Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly distinguish between what is artificial and what is natural (e.g., man-made virus and natural virus). us, the level of discombobulation among people, companies, or countries is indeed unprecedented. e fact that industry 4.0 is explosively disrupting or retrofitting each and every industrial sector makes industry 4.0 the famous buzzword amongst researchers today. However, the insight of industry 4.0 disruption into the industrial sectors remains ill-defined in both academic and nonacademic literature. e present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technology convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in the education industry (education 4.0), energy industry (energy 4.0), agriculture industry (agriculture 4.0), healthcare industry (healthcare 4.0), and logistics industry (logistics 4.0) was described. e convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of ings, nano-technology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated. e study divulged the need for extensive research to expand the application areas of the disruptive technologies in the industrial sectors.
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