Soft Modeling in Industrial Manufacturing PDF Download

Author: Przemyslaw Grzegorzewski
Publisher: Springer
ISBN: 3030032019
Category : Technology & Engineering
Languages : en
Pages : 196

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Book Description
This book discusses the problems of complexity in industrial data, including the problems of data sources, causes and types of data uncertainty, and methods of data preparation for further reasoning in engineering practice. Each data source has its own specificity, and a characteristic property of industrial data is its high degree of uncertainty. The book also explores a wide spectrum of soft modeling methods with illustrations pertaining to specific cases from diverse industrial processes. In soft modeling the physical nature of phenomena may not be known and may not be taken into consideration. Soft models usually employ simplified mathematical equations derived directly from the data obtained as observations or measurements of the given system. Although soft models may not explain the nature of the phenomenon or system under study, they usually point to its significant features or properties.

Author: Ravi Pratap Singh
Publisher: Springer Nature
ISBN: 9811961077
Category : Technology & Engineering
Languages : en
Pages : 731

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Book Description
This book presents select proceedings of the 2nd International Conference on Industrial and Manufacturing Systems (CIMS 2021) and discusses the applications of soft computing, modelling and optimization practices in industrial and manufacturing systems. Various topics covered in this book include advanced machining methods and performances, industrial operations, processing with hybrid manufacturing techniques, fabrication and developments in micro-machining and its applications, practical issues in supply chain, micro-structure analysis, additive manufacturing processes, reliability and system analysis, material science and metallurgical behaviour analysis, product design and development, etc. The book will be a valuable reference for beginners, researchers, and professionals interested in the modelling, optimization and soft computing related aspects of industrial and production engineering and its allied domains.

Author: Chao Shang
Publisher: Springer
ISBN: 9811066779
Category : Technology & Engineering
Languages : en
Pages : 154

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Book Description
This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts. The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.

Author: Paolo Brandimarte
Publisher: Springer Science & Business Media
ISBN: 9783540655008
Category : Technology & Engineering
Languages : en
Pages : 236

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Book Description
Advanced modeling techniques are a necessary tool in order to design and manage manufacturing systems effectively. This book contains a set of tutorial chapters on topics ranging from aggregate production planning to real time control, including predictive and reactive scheduling, flow management in assembly systems, simulation of robotic cells, design of manufacturing systems under uncertainty and a historical perspective on production management philosophies. The book will be of interest both to researchers and practitioners, including graduate students in Manufacturing Engineering and Operations Research.

Author: Prakash Mahadeo Dixit
Publisher: Springer Science & Business Media
ISBN: 1848001894
Category : Technology & Engineering
Languages : en
Pages : 599

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Book Description
Written by authorities in the subject, this book provides a complete treatment of metal forming and machining by using the computational techniques FEM, fuzzy set theory and neural networks as modelling tools. The algorithms and solved examples included make this book of value to postgraduates, senior undergraduates, and lecturers and researchers in these fields. Research and development engineers and consultants for the manufacturing industry will also find it of use.

Author: Oscar Castillo
Publisher: Physica
ISBN: 379081766X
Category : Computers
Languages : en
Pages : 291

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Book Description
We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems. Fractal theory provides us with the mathematical tools to understand the geometrical complexity of natural objects and can be used for identification and modeling purposes. Combining SC techniques with fractal theory, we can take advantage of the "intelligence" provided by the computer methods and also take advantage of the descriptive power of the fractal mathematical tools. Industrial manufacturing systems can be considered as non-linear dynamical systems, and as a consequence can have highly complex dynamic behaviors. For this reason, the need for computational intelligence in these manufacturing systems has now been well recognized. We consider in this book the concept of "intelligent manufacturing" as the application of soft computing techniques and fractal theory for achieving the goals of manufacturing, which are production planning and control, monitoring and diagnosis of faults, and automated quality control. As a prelude, we provide a brief overview of the existing methodologies in Soft Computing. We then describe our own approach in dealing with the problems in achieving intelligent manufacturing. Our particular point of view is that to really achieve intelligent manufacturing in real-world applications we need to use SC techniques and fractal theory.

Author: James A. Chisman PhD
Publisher: Xlibris Corporation
ISBN: 1465364129
Category : Reference
Languages : en
Pages : 57

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Book Description
In the area of (OR/MS), particularly in simulation modeling, working contrived textbook problems does not prepare one well for modeling the kinds of problems one finds in the real world. This book presents three kinds of real world simulation problems from the author's broad experience: (1) problems that the author has solved as an industrial consultant or advisor, (2) problems he has had his students study for local businesses, and (3) non-queuing examples. These problems represent a very broad spectrum of the kinds of problems that simulation modeling can address. Since most simulation modeling software is somewhat problem-independent, the conceptual and modeling experience gained by simulating the problems in this book using any simulation software should prepare one well for simulating problems in other areas not found here. A helpful Instructors Manual is available for faculty.

Author: George Liberopoulos
Publisher: Springer Science & Business Media
ISBN: 3540290575
Category : Business & Economics
Languages : en
Pages : 363

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Book Description
Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.

Author: Mangey Ram
Publisher: Springer
ISBN: 3319604325
Category : Technology & Engineering
Languages : en
Pages : 226

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Book Description
This book describes the latest research developments in modeling and simulation in industrial engineering. Topics such as decision and performance analysis and industrial control systems are described. Case studies in industry and services as well as engineering economy and cost estimation are also covered.

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
This paper provides an overview of manufacturing modeling and simulation, which includes applications to improve the performance, manufacturability, quality, and cost of products. The paper examines reviews of the emerging state of the art in manufacturing modeling and simulation, studies based on surveys of government and industry product development offices, and information from companies that use modeling and simulation directly to enhance their product development efforts. The research finds that manufacturing modeling and simulation is making great progress toward the vision of a rich toolset that fully integrates with design tools and supports a smooth flow of useful information throughout the organization. Important features of modeling and simulation software packages include flexibility, user interface, model execution speed, import/export capability, iterative capability, combined discrete-continuous simulation, evoking external routines, animation, and statistical capabilities. Seven commonly available simulation software packages are evaluated and compared based on these and other criteria. Developing standards for improved interoperability of tools and expanding the base of scientific knowledge in manufacturing are seen as key issues for advancing the state and usage of manufacturing modeling and simulation in the future.