1) Simulation is the process of imitating a real-life system to solve problems without interacting with the real system. It allows testing scenarios that may be dangerous, expensive, or impossible in reality.
2) There are two main types of simulation: deterministic and stochastic. Deterministic simulation does not involve randomness, while stochastic simulation introduces randomness.
3) Within stochastic simulation, Monte Carlo simulation is static and measures outputs over time, while discrete event simulation is dynamic and measures outputs when events occur.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Planning and Scheduling of a Corrugated Cardboard Manufacturing Process in IoTijtsrd
The automation has revolutionized the traditional product development scheme by using advanced design and manufacturing technologies such as computer aided design, process planning, and scheduling. However, research in this field was still based mostly on experimentation, as most manufacturing companies did not use simulation techniques in the implementation of their manufacturing planning and scheduling process. In order to address this problem, software developers have put simulation software tools in the market such as Enterprise Resource Planning ERP , Advanced Planning and Scheduling APS , and Risk based Planning and Scheduling RPS systems. In this paper, a methodology to model high degree of accuracy for the production floor, the planning and scheduling of corrugated cardboard manufacturing process through RPS simulation in Internet of Things IoT environment is established. The RPS model is able to generate a deterministic schedule without randomness, create a risk analysis of the planning and scheduling, and handle the uncertainty. Bruno Kemen | Sarhan M. Musa "Planning and Scheduling of a Corrugated Cardboard Manufacturing Process in IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd37965.pdf Paper URL : https://www.ijtsrd.com/engineering/electrical-engineering/37965/planning-and-scheduling-of-a-corrugated-cardboard-manufacturing-process-in-iot/bruno-kemen
Evaluation of Total Productive Maintenance Implementation in a Selected Semi-...IJMER
Manufacturing industries around the world spend a lot of money on buying new equipment
to increase production but a little is done to get hundred percent output from the machine. However,
because of increased competency levels and demand of quality products at lower costs, buying latest
equipment is not a solution unless it is fully utilized. Therefore machine maintenance and in general,
implementing an appropriate maintenance strategy has become increasingly important for manufacturing
companies to accomplish these requirements. Total productive maintenance (TPM) has become one of the
most popular maintenance strategies to ensure high machine reliability since it is regarded as an integral
part of Lean Manufacturing. Performance evaluation is the most important aspects in the field of
continuous improving of the production process and overall equipment effectiveness (OEE) is one of the
justified performance evaluation methods that is popular in the manufacturing industries to assess the
machine’s effectiveness and performance. In this concern, this research work has been conducted in a
selected semi-automated manufacturing industry to study and evaluate the implementation of autonomous
maintenance and planned maintenance pillars of TPM. After the OEE measurement, it has been
benchmarked with the world class OEE. Pareto and statistical analysis of downtimes were performed to
show the most affecting downtime factors hierarchically. Based on the obtained results, maintenance
management and production planning have been suggested to improve their maintenance procedures and
the productivity as well.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Planning and Scheduling of a Corrugated Cardboard Manufacturing Process in IoTijtsrd
The automation has revolutionized the traditional product development scheme by using advanced design and manufacturing technologies such as computer aided design, process planning, and scheduling. However, research in this field was still based mostly on experimentation, as most manufacturing companies did not use simulation techniques in the implementation of their manufacturing planning and scheduling process. In order to address this problem, software developers have put simulation software tools in the market such as Enterprise Resource Planning ERP , Advanced Planning and Scheduling APS , and Risk based Planning and Scheduling RPS systems. In this paper, a methodology to model high degree of accuracy for the production floor, the planning and scheduling of corrugated cardboard manufacturing process through RPS simulation in Internet of Things IoT environment is established. The RPS model is able to generate a deterministic schedule without randomness, create a risk analysis of the planning and scheduling, and handle the uncertainty. Bruno Kemen | Sarhan M. Musa "Planning and Scheduling of a Corrugated Cardboard Manufacturing Process in IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd37965.pdf Paper URL : https://www.ijtsrd.com/engineering/electrical-engineering/37965/planning-and-scheduling-of-a-corrugated-cardboard-manufacturing-process-in-iot/bruno-kemen
Evaluation of Total Productive Maintenance Implementation in a Selected Semi-...IJMER
Manufacturing industries around the world spend a lot of money on buying new equipment
to increase production but a little is done to get hundred percent output from the machine. However,
because of increased competency levels and demand of quality products at lower costs, buying latest
equipment is not a solution unless it is fully utilized. Therefore machine maintenance and in general,
implementing an appropriate maintenance strategy has become increasingly important for manufacturing
companies to accomplish these requirements. Total productive maintenance (TPM) has become one of the
most popular maintenance strategies to ensure high machine reliability since it is regarded as an integral
part of Lean Manufacturing. Performance evaluation is the most important aspects in the field of
continuous improving of the production process and overall equipment effectiveness (OEE) is one of the
justified performance evaluation methods that is popular in the manufacturing industries to assess the
machine’s effectiveness and performance. In this concern, this research work has been conducted in a
selected semi-automated manufacturing industry to study and evaluate the implementation of autonomous
maintenance and planned maintenance pillars of TPM. After the OEE measurement, it has been
benchmarked with the world class OEE. Pareto and statistical analysis of downtimes were performed to
show the most affecting downtime factors hierarchically. Based on the obtained results, maintenance
management and production planning have been suggested to improve their maintenance procedures and
the productivity as well.
Software testing effort estimation with cobb douglas function a practical app...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Design and Implementation of a Multi-Agent System for the Job Shop Scheduling...CSCJournals
Job shop scheduling is one of the strongly NP-complete combinatorial optimization problems. Developing effective search methods is always an important and valuable work. Meta-heuristic methods such as genetic algorithms are widely applied to find optimal or near-optimal solutions for the job shop scheduling problem. Parallelizing genetic algorithms is one of the best approaches that can be used to enhance the performance of these algorithms. In this paper, we propose an agent-based parallel genetic algorithm for job shop scheduling problem. In our approach, initial population is created in an agent-based parallel way then an agent-based method is used to parallelize genetic algorithm. Experimental results showed that the proposed approach enhances the performance.
Analysis of selection schemes for solving job shop scheduling problem using g...eSAT Journals
Abstract Scheduling problems have the standard consideration in the field of manufacturing. Among the various types of scheduling problems, the job shop scheduling problem is one of the most interesting NP-hard problems. As the job shop scheduling is an optimization problem, Genetic algorithm was selected to solve it In this study. Selection scheme is one of the important operators of Genetic algorithm. The choice of selection method to be applied for solving problems has a wide role in the Genetic algorithm process. The speed of convergence towards the optimum solution for the chosen problem is largely determined by the selection mechanism used in the Genetic algorithm. Depending upon the selection scheme applied, the population fitness over the successive generations could be improved. There are various type of selection schemes in genetic algorithm are available, where each selection scheme has its own feasibility for solving a particular problem. In this study, the selection schemes namely Stochastic Universal Sampling (SUS), Roulette Wheel Selection (RWS), Rank Based Roulette Wheel Selection (RRWS) and Binary Tournament Selection (BTS) were chosen for implementation. The characteristics of chosen selection mechanisms of Genetic algorithm for solving the job shop scheduling problem were analyzed. The Genetic algorithm with four different selection schemes is tested on instances of 7 benchmark problems of different size. The result shows that the each of the four selection schemes of Genetic algorithm have been successfully applied to the job shop scheduling problems efficiently and the performance of Stochastic Universal Sampling selection method is better than all other four selection schemes. Keywords: Genetic Algorithm, Makespan, Selection schemes
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Software cost estimation is a key open issue for the software industry, which
suffers from cost overruns frequently. As the most popular technique for object-oriented
software cost estimation is Use Case Points (UCP) method, however, it has two major
drawbacks: the uncertainty of the cost factors and the abrupt classification. To address
these two issues, refined the use case complexity classification using fuzzy logic theory which
mitigate the uncertainty of cost factors and improve the accuracy of classification.
Software estimation is a crucial task in software engineering. Software estimation
encompasses cost, effort, schedule, and size. The importance of software estimation becomes
critical in the early stages of the software life cycle when the details of software have not
been revealed yet. Several commercial and non-commercial tools exist to estimate software
in the early stages. Most software effort estimation methods require software size as one of
the important metric inputs and consequently, software size estimation in the early stages
becomes essential.
The proposed method presents a techniques using fuzzy logic theory to improve the
accuracy of the use case points method by refining the use case classification.
Environmental Stress Screening (ESS) is performed on most of the Electrical/Electronic products. However Failure Rate/Time distribution analysis is not conducted always to evaluate the effectiveness of the Screening Process
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
Like Us - https://www.facebook.com/FellowBuddycom
Improving layout and workload of manufacturing system using Delmia Quest simu...AM Publications
This paper describes a case study of analysis and optimization of the facility layout in a manufacturing cell
using a systematic search method and a Quest computer simulation model with graphical representation of the
manufacturing processes. The simulation model objective was to obtain Layout design to achieve a high productivity in the
flexible manufacturing system (FMS), to determine bottleneck locations and what the optimal batch size should be. The
Quest software proved to be a powerful tool in assessing what changes should be made to a manufacturing cell before
incurring manufacturing improvements and/or performing actual capital investments. The aim of this study is to get
an understanding of the cell and its behaviour regarding production and to use the simulation software to change,
analyse and improve the cell.
Modeling and simulation is the use of models as a basis for simulations to develop data utilized for managerial or technical decision making. In the computer application of modeling and simulation a computer is used to build a mathematical model which contains key parameters of the physical model.
A WORKSPACE SIMULATION FOR TAL TR-2 ARTICULATED ROBOT IAEME Publication
This paper discusses about simulation. Simulation is optimizing system performance. It is an unobtrusive scientific method of enquiry involving experiments rather than with the portion of reality that the model represents. Simulation is nothing but a result generation of system performance data.Simulation is often used to identify the better of the two alternatives.
Software testing effort estimation with cobb douglas function a practical app...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Design and Implementation of a Multi-Agent System for the Job Shop Scheduling...CSCJournals
Job shop scheduling is one of the strongly NP-complete combinatorial optimization problems. Developing effective search methods is always an important and valuable work. Meta-heuristic methods such as genetic algorithms are widely applied to find optimal or near-optimal solutions for the job shop scheduling problem. Parallelizing genetic algorithms is one of the best approaches that can be used to enhance the performance of these algorithms. In this paper, we propose an agent-based parallel genetic algorithm for job shop scheduling problem. In our approach, initial population is created in an agent-based parallel way then an agent-based method is used to parallelize genetic algorithm. Experimental results showed that the proposed approach enhances the performance.
Analysis of selection schemes for solving job shop scheduling problem using g...eSAT Journals
Abstract Scheduling problems have the standard consideration in the field of manufacturing. Among the various types of scheduling problems, the job shop scheduling problem is one of the most interesting NP-hard problems. As the job shop scheduling is an optimization problem, Genetic algorithm was selected to solve it In this study. Selection scheme is one of the important operators of Genetic algorithm. The choice of selection method to be applied for solving problems has a wide role in the Genetic algorithm process. The speed of convergence towards the optimum solution for the chosen problem is largely determined by the selection mechanism used in the Genetic algorithm. Depending upon the selection scheme applied, the population fitness over the successive generations could be improved. There are various type of selection schemes in genetic algorithm are available, where each selection scheme has its own feasibility for solving a particular problem. In this study, the selection schemes namely Stochastic Universal Sampling (SUS), Roulette Wheel Selection (RWS), Rank Based Roulette Wheel Selection (RRWS) and Binary Tournament Selection (BTS) were chosen for implementation. The characteristics of chosen selection mechanisms of Genetic algorithm for solving the job shop scheduling problem were analyzed. The Genetic algorithm with four different selection schemes is tested on instances of 7 benchmark problems of different size. The result shows that the each of the four selection schemes of Genetic algorithm have been successfully applied to the job shop scheduling problems efficiently and the performance of Stochastic Universal Sampling selection method is better than all other four selection schemes. Keywords: Genetic Algorithm, Makespan, Selection schemes
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Software cost estimation is a key open issue for the software industry, which
suffers from cost overruns frequently. As the most popular technique for object-oriented
software cost estimation is Use Case Points (UCP) method, however, it has two major
drawbacks: the uncertainty of the cost factors and the abrupt classification. To address
these two issues, refined the use case complexity classification using fuzzy logic theory which
mitigate the uncertainty of cost factors and improve the accuracy of classification.
Software estimation is a crucial task in software engineering. Software estimation
encompasses cost, effort, schedule, and size. The importance of software estimation becomes
critical in the early stages of the software life cycle when the details of software have not
been revealed yet. Several commercial and non-commercial tools exist to estimate software
in the early stages. Most software effort estimation methods require software size as one of
the important metric inputs and consequently, software size estimation in the early stages
becomes essential.
The proposed method presents a techniques using fuzzy logic theory to improve the
accuracy of the use case points method by refining the use case classification.
Environmental Stress Screening (ESS) is performed on most of the Electrical/Electronic products. However Failure Rate/Time distribution analysis is not conducted always to evaluate the effectiveness of the Screening Process
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
Like Us - https://www.facebook.com/FellowBuddycom
Improving layout and workload of manufacturing system using Delmia Quest simu...AM Publications
This paper describes a case study of analysis and optimization of the facility layout in a manufacturing cell
using a systematic search method and a Quest computer simulation model with graphical representation of the
manufacturing processes. The simulation model objective was to obtain Layout design to achieve a high productivity in the
flexible manufacturing system (FMS), to determine bottleneck locations and what the optimal batch size should be. The
Quest software proved to be a powerful tool in assessing what changes should be made to a manufacturing cell before
incurring manufacturing improvements and/or performing actual capital investments. The aim of this study is to get
an understanding of the cell and its behaviour regarding production and to use the simulation software to change,
analyse and improve the cell.
Modeling and simulation is the use of models as a basis for simulations to develop data utilized for managerial or technical decision making. In the computer application of modeling and simulation a computer is used to build a mathematical model which contains key parameters of the physical model.
A WORKSPACE SIMULATION FOR TAL TR-2 ARTICULATED ROBOT IAEME Publication
This paper discusses about simulation. Simulation is optimizing system performance. It is an unobtrusive scientific method of enquiry involving experiments rather than with the portion of reality that the model represents. Simulation is nothing but a result generation of system performance data.Simulation is often used to identify the better of the two alternatives.
Virtual Commissioning of Small to Medium Scale Industry Using the Concepts of...IJERA Editor
Small scale industries produce certain products depending on the type of industry they have established. If these small scale industries decide to become medium scale certain changes have to be incorporated in plant layout to meet certain requirements. Certain changes include change in layout design, introducing new machines and equipments in the industry in order to produce new component .To implement these changes in the company we have to get information regarding the new component the company would produce based on this information we have design new plant layout. The purpose of this project is to plan a suitable plant layout which could meet company requirement. To design a new plant layout we are using Delmia as the simulation software. DELMIA Production System Simulation allows the process planner to validate the manufacturing system dynamically. Product flow and operation time, as well as scheduled maintenance and random equipment failure events, are simulated to help the planner understand how they will impact the system’s capacity. Process planners can determine if changes to the system are needed to achieve the desired production demands.
Modelling of Training Simulator for Steam Cracker OperatorsRisman Hatibi
This paper outlines how modelling standards and practices implemented. A dynamic simulation model of the Steam crackers was developed for the use of an ethylene plant in
Kertih, Terengganu, Malaysia. The model was developed using a Dynamic Simulation Software. This software
incorporates dynamic behavior of cracker process and provides a comprehensive dynamic training.
decision making uncertain environment a queuing theory approachINFOGAIN PUBLICATION
Consumer behavior is one of the most uncertain phenomenons. Customer impatience is one of those uncertain phenomenon’s which is a threat to any business. Customer impatience results in loss of customers and business. Stochastic modeling provides numerical measurement of necessary measures of performance in any business up-to a certain extent. In this paper a multi-server Markovian queuing system is developed with reverse balking and impatient customers. Reverse balking is a very new concept introduced in stochastic queuing models. While reneging is one of the most known phenomenon in queuing theory. Steady-state solution of the newly developed model is derived. Necessary measures of performance are obtained and numerical results are presented. Sensitivity analysis of the model is also performed. MATLAB and MS Excel are used as and when needed.
A Novel Approach to Derive the Average-Case Behavior of Distributed Embedded ...ijccmsjournal
Monte-Carlo simulation is widely used in distributed embedded system in our present era. In this
research work, we have put an emphasis on reliability assessment of any distributed embedded system
through Monte-Carlo simulation. We have done this assessment on random data which represents input
voltages ranging from 0 volt to 12 volt; several numbers of trials have been executed on those data to
check the average case behavior of a distributed real time embedded system. From the experimental result, a saturation point has been achieved against the time behavior which shows the average case behavior of the concerned distributed embedded system.
Introduction to simulation and modeling will describe what is simulation, what is system and what is model. It will give a brief overview of simulation and modeling in computer science.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
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Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.