simulation modeling decision making processes (20 resultados)

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Hardcover. Condición: new. Hardcover. Within the dynamic and ever-evolving landscape of manufacturing systems and industrial engineering, an unparalleled synergy has emerged-one that wields the power to redefine the boundaries of innovation and optimization. At the heart of this transformative confluence lies the seamless integration of simulation, modeling, and decision-making processes, collectively constituting a driving force that propels the industrial world toward unprecedented efficiency, resilience, and sustainability. In this era of relentless technological advancement, characterized by the rapid emergence of Industry 4.0, smart factories, and the relentless pursuit of excellence in industrial processes, the marriage of simulation, modeling, and decision-making has taken center stage. These intertwined disciplines not only illuminate the path toward innovation, but also serve as indispensable tools for understanding, optimizing, and reimagining the complex fabric of manufacturing systems and industrial engineering.This Special Issue delves into the heart of contemporary manufacturing and industrial engineering, where simulation techniques, advanced modeling approaches, and astute decision-making strategies converge to address the multifaceted challenges of our times. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Condición: new. Hardcover. Within the dynamic and ever-evolving landscape of manufacturing systems and industrial engineering, an unparalleled synergy has emerged-one that wields the power to redefine the boundaries of innovation and optimization. At the heart of this transformative confluence lies the seamless integration of simulation, modeling, and decision-making processes, collectively constituting a driving force that propels the industrial world toward unprecedented efficiency, resilience, and sustainability. In this era of relentless technological advancement, characterized by the rapid emergence of Industry 4.0, smart factories, and the relentless pursuit of excellence in industrial processes, the marriage of simulation, modeling, and decision-making has taken center stage. These intertwined disciplines not only illuminate the path toward innovation, but also serve as indispensable tools for understanding, optimizing, and reimagining the complex fabric of manufacturing systems and industrial engineering.This Special Issue delves into the heart of contemporary manufacturing and industrial engineering, where simulation techniques, advanced modeling approaches, and astute decision-making strategies converge to address the multifaceted challenges of our times. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Hardcover. Condición: new. Hardcover. Within the dynamic and ever-evolving landscape of manufacturing systems and industrial engineering, an unparalleled synergy has emerged-one that wields the power to redefine the boundaries of innovation and optimization. At the heart of this transformative confluence lies the seamless integration of simulation, modeling, and decision-making processes, collectively constituting a driving force that propels the industrial world toward unprecedented efficiency, resilience, and sustainability. In this era of relentless technological advancement, characterized by the rapid emergence of Industry 4.0, smart factories, and the relentless pursuit of excellence in industrial processes, the marriage of simulation, modeling, and decision-making has taken center stage. These intertwined disciplines not only illuminate the path toward innovation, but also serve as indispensable tools for understanding, optimizing, and reimagining the complex fabric of manufacturing systems and industrial engineering.This Special Issue delves into the heart of contemporary manufacturing and industrial engineering, where simulation techniques, advanced modeling approaches, and astute decision-making strategies converge to address the multifaceted challenges of our times. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condición: Neu. Hands-On Simulation Modeling with Python | Develop simulation models to get accurate results and enhance decision-making processes | Giuseppe Ciaburro | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | Packt Publishing | EAN 9781838985097 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Enhance your simulation modeling skills by creating and analyzing digital prototypes of a physical model using Python programming with this comprehensive guideKey FeaturesLearn to create a digital prototype of a real model using hands-on examplesEvaluate the performance and output of your prototype using simulation modeling techniquesUnderstand various statistical and physical simulations to improve systems using PythonBook DescriptionSimulation modeling helps you to create digital prototypes of physical models to analyze how they work and predict their performance in the real world. With this comprehensive guide, you'll understand various computational statistical simulations using Python.Starting with the fundamentals of simulation modeling, you'll understand concepts such as randomness and explore data generating processes, resampling methods, and bootstrapping techniques. You'll then cover key algorithms such as Monte Carlo simulations and Markov decision processes, which are used to develop numerical simulation models, and discover how they can be used to solve real-world problems. As you advance, you'll develop simulation models to help you get accurate results and enhance decision-making processes. Using optimization techniques, you'll learn to modify the performance of a model to improve results and make optimal use of resources. The book will guide you in creating a digital prototype using practical use cases for financial engineering, prototyping project management to improve planning, and simulating physical phenomena using neural networks.By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges.What you will learnGain an overview of the different types of simulation modelsGet to grips with the concepts of randomness and data generation processUnderstand how to work with discrete and continuous distributionsWork with Monte Carlo simulations to calculate a definite integralFind out how to simulate random walks using Markov chainsObtain robust estimates of confidence intervals and standard errors of population parametersDiscover how to use optimization methods in real-life applicationsRun efficient simulations to analyze real-world systemsWho this book is forHands-On Simulation Modeling with Python is for simulation developers and engineers, model designers, and anyone already familiar with the basic computational methods that are used to study the behavior of systems. This book will help you explore advanced simulation techniques such as Monte Carlo methods, statistical simulations, and much more using Python. Working knowledge of Python programming language is required.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Within the dynamic and ever-evolving landscape of manufacturing systems and industrial engineering, an unparalleled synergy has emerged-one that wields the power to redefine the boundaries of innovation and optimization. At the heart of this transformative confluence lies the seamless integration of simulation, modeling, and decision-making processes, collectively constituting a driving force that propels the industrial world toward unprecedented efficiency, resilience, and sustainability. In this era of relentless technological advancement, characterized by the rapid emergence of Industry 4.0, smart factories, and the relentless pursuit of excellence in industrial processes, the marriage of simulation, modeling, and decision-making has taken center stage. These intertwined disciplines not only illuminate the path toward innovation, but also serve as indispensable tools for understanding, optimizing, and reimagining the complex fabric of manufacturing systems and industrial engineering.This Special Issue delves into the heart of contemporary manufacturing and industrial engineering, where simulation techniques, advanced modeling approaches, and astute decision-making strategies converge to address the multifaceted challenges of our times.

Buch. Condición: Neu. Simulation, Modeling, and Decision-Making Processes in Manufacturing Systems and Industrial Engineering | Buch | Englisch | 2025 | MDPI AG | EAN 9783725862108 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.