Industrial Production Models


Industrial Production Models
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Industrial Production Models


Industrial Production Models
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Author : Sven Dano
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Industrial Production Models written by Sven Dano and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


This book is a result of many years' interest in the economic theory of pro duction, first aroused by the reading of Professor ERICH SCHNEIDER'S classic Theorie der Produktion. A grant from the Danish-Norwegian Foundation made it possible for me to spend six months at the Institute of Economics, University of Oslo, where I became acquainted with Professor RAGNAR FRISCH'S penetrating pioneer works in this field and where the plan of writing the present book was conceived. Further studies as a Rockefeller fellow at several American univer sities, especially an eight months' stay at the Harvard Economic Research Pro ject, and a visit to the Unione Industriale di Torino have given valuable impulses. For these generous grants, and for the help and advice given by the various institutions I have visited, I am profoundly grateful. My sincere thanks are also due to the University of Copenhagen for the ex ceptionally favourable working conditions which I have enjoyed there, and to the Institute of Economics-especially its director, Professor P. N0RREGAARD RASMUSsEN-for patient and encouraging interest in my work. I also wish to thank the Institute's office staff, Miss G. SUENSON and Mrs. G. STEN0R, for their constant helpfulness, and Mrs. E. HAUGEBO for her efficient work in preparing the manuscript, which was completed in the spring of 1965.



Hybrid Simulation Models Of Production Networks


Hybrid Simulation Models Of Production Networks
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Author : Vassilis S. Kouikoglou
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-07-31

Hybrid Simulation Models Of Production Networks written by Vassilis S. Kouikoglou and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-07-31 with Business & Economics categories.


This book is concerned with a most important area of industrial production, that of analysis and optimization of production lines and networks using discrete-event models and simulation. The book introduces a novel approach that combines analytic models and discrete-event simulation. Unlike conventional piece-by-piece simulation, this method observes a reduced number of events between which the evolution of the system is tracked analytically. Using this hybrid approach, several models are developed for the analysis of production lines and networks. The hybrid approach combines speed and accuracy for exceptional analysis of most practical situations. A number of optimization problems, involving buffer design, workforce planning, and production control, are solved through the use of hybrid models.



Input Output Models For Sustainable Industrial Systems


Input Output Models For Sustainable Industrial Systems
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Author : Raymond R. Tan
language : en
Publisher: Springer
Release Date : 2018-09-12

Input Output Models For Sustainable Industrial Systems written by Raymond R. Tan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-12 with Technology & Engineering categories.


This book addresses the specialized topic of input–output models for sustainable industrial systems. While these models are well-established tools for economic analysis, their underlying mathematical structure is also applicable to the analysis and optimization of a wide range of systems that are characterized by linear interdependencies among their components. This means that input–output models can be used for diverse networks, such as processes within industrial plants, industrial plants in a supply chain, or departmental units within an organization. The models can also be readily extended to interactions between man-made systems and the environment, e.g. flows of natural resources and/or pollutants. Furthermore, model variants with excess degrees of freedom can be formulated to allow optimization and decision-making to be integrated within the framework. This book examines how input–output models can be applied to sustainable industrial systems. Each major variant is discussed separately in a dedicated chapter, and representative case studies and supporting LINGO code are also included.



Input Output Models For Sustainable Industrial Systems


Input Output Models For Sustainable Industrial Systems
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Author : Raymond R. Tan
language : en
Publisher:
Release Date : 2019

Input Output Models For Sustainable Industrial Systems written by Raymond R. Tan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with BUSINESS & ECONOMICS categories.


This book addresses the specialized topic of input–output models for sustainable industrial systems. While these models are well-established tools for economic analysis, their underlying mathematical structure is also applicable to the analysis and optimization of a wide range of systems that are characterized by linear interdependencies among their components. This means that input–output models can be used for diverse networks, such as processes within industrial plants, industrial plants in a supply chain, or departmental units within an organization. The models can also be readily extended to interactions between man-made systems and the environment, e.g. flows of natural resources and/or pollutants. Furthermore, model variants with excess degrees of freedom can be formulated to allow optimization and decision-making to be integrated within the framework. This book examines how input–output models can be applied to sustainable industrial systems. Each major variant is discussed separately in a dedicated chapter, and representative case studies and supporting LINGO code are also included.



Soft Modeling In Industrial Manufacturing


Soft Modeling In Industrial Manufacturing
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Author : Przemyslaw Grzegorzewski
language : en
Publisher: Springer
Release Date : 2018-12-11

Soft Modeling In Industrial Manufacturing written by Przemyslaw Grzegorzewski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-11 with Technology & Engineering categories.


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.



Analysis Of Business Model Strategies For Creative Industry Products Using The Canvas Model Approach


Analysis Of Business Model Strategies For Creative Industry Products Using The Canvas Model Approach
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Author : Danarti Hariani
language : en
Publisher: Asadel Publisher
Release Date : 2023-07-07

Analysis Of Business Model Strategies For Creative Industry Products Using The Canvas Model Approach written by Danarti Hariani and has been published by Asadel Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-07 with Reference categories.


In the midst of the rapidly evolving industrial era 4.0, the creative economy industry has emerged as a beacon of innovation and imaginative ideas. As consumer preferences change, technology advances, and competition intensifies, the creative industry must continuously adapt its strategies to thrive in both local and global markets. Among the industries worth exploring, the batik industry stands out, as batik represents a significant cultural heritage of Indonesia that demands preservation and protection. Surakarta, renowned for its distinctive batik, holds a prominent place in the study of this industry. Surakarta, a city celebrated for its design-focused culture, has proposed Batik Solo as a design-based creative city to UNESCO (United Nations Educational, Scientific, and Cultural Organization). Within this context, the research focuses on the Laweyan batik industrial area, the birthplace of batik in Surakarta. The level of competition in the national and global batik industry has a direct impact on the industry's growth, necessitating the development of a special strategy to confront these challenges and structure the business effectively. This book aims to uncover the strategic model of the Laweyan batik industry, employing the canvas model approach, to explore the economic potential of the Laweyan Batik industry, propose alternative business strategies, and safeguard the legacy of Kampung Batik Laweyan as a sustainable batik industry icon in Surakarta. By delving into the intricate details of the Laweyan batik industry, this study sheds light on the challenges and opportunities faced by creative industries operating in a rapidly changing landscape. With a comprehensive analysis of the canvas model approach, readers will gain valuable insights into how this model can be employed to devise effective business strategies, enhance competitiveness, and ensure the long-lasting presence of Laweyan Batik as an emblem of Surakarta's rich cultural heritage. This book is an essential resource for researchers, business professionals, policymakers, and enthusiasts interested in understanding the dynamics of the creative industry, with a particular focus on the Laweyan batik industry and its strategic management.



Process Oriented Analysis


Process Oriented Analysis
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Author : Urs B. Meyer
language : en
Publisher: CRC Press
Release Date : 2006-09-18

Process Oriented Analysis written by Urs B. Meyer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-18 with Business & Economics categories.


In modern manufacturing, it is not simply the equipment that is increasingly complex but rather the entire business system in which a company operates. Convoluted supply chains, complicated resource flows, advanced information systems: all must be taken into account when designing or reengineering a manufacturing system. Introducing a powerful yet



Guide To Industrial Analytics


Guide To Industrial Analytics
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Author : Richard Hill
language : en
Publisher: Springer Nature
Release Date : 2021-09-27

Guide To Industrial Analytics written by Richard Hill and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-27 with Computers categories.


This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and storage, through Industrial Digital Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data. Data science, predictive analytics, machine learning, artificial intelligence and general approaches to modelling, simulating and visualising industrial systems have often been considered topics only for research labs and academic departments. This textbook debunks the mystique around applied data science and shows readers, using tutorial-style explanations and real-life case studies, how practitioners can develop their own understanding of performance to achieve tangible business improvements. All exercises can be completed with commonly available tools, many of which are free to install and use. Readers will learn how to use tools to investigate, diagnose, propose and implement analytics solutions that will provide explainable results to deliver digital transformation.



Models With Time Varying Mean And Variance


Models With Time Varying Mean And Variance
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Author : Charles Steven Bos
language : en
Publisher:
Release Date : 2010

Models With Time Varying Mean And Variance written by Charles Steven Bos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.




Dynamic Modeling Of Complex Industrial Processes Data Driven Methods And Application Research


Dynamic Modeling Of Complex Industrial Processes Data Driven Methods And Application Research
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Author : Chao Shang
language : en
Publisher: Springer
Release Date : 2019-03-19

Dynamic Modeling Of Complex Industrial Processes Data Driven Methods And Application Research written by Chao Shang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-19 with Technology & Engineering categories.


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.