Industrial Cases in Simulation Modeling

Industrial Cases in Simulation Modeling

Author: James A. Chisman PhD

Publisher: Xlibris Corporation

Published: 2011-09-24

Total Pages: 57

ISBN-13: 1465364129

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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.


Modeling and Simulation in Industrial Engineering

Modeling and Simulation in Industrial Engineering

Author: Mangey Ram

Publisher: Springer

Published: 2017-08-11

Total Pages: 226

ISBN-13: 3319604325

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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.


Unit Manufacturing Processes

Unit Manufacturing Processes

Author: National Research Council

Publisher: National Academies Press

Published: 1995-01-03

Total Pages: 228

ISBN-13: 0309176670

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Manufacturing, reduced to its simplest form, involves the sequencing of product forms through a number of different processes. Each individual step, known as an unit manufacturing process, can be viewed as the fundamental building block of a nation's manufacturing capability. A committee of the National Research Council has prepared a report to help define national priorities for research in unit processes. It contains an organizing framework for unit process families, criteria for determining the criticality of a process or manufacturing technology, examples of research opportunities, and a prioritized list of enabling technologies that can lead to the manufacture of products of superior quality at competitive costs. The study was performed under the sponsorship of the National Science Foundation and the Defense Department's Manufacturing Technology Program.


Use Cases of Discrete Event Simulation

Use Cases of Discrete Event Simulation

Author: Steffen Bangsow

Publisher: Springer Science & Business Media

Published: 2012-04-24

Total Pages: 380

ISBN-13: 3642287778

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Over the last decades Discrete Event Simulation has conquered many different application areas. This trend is, on the one hand, driven by an ever wider use of this technology in different fields of science and on the other hand by an incredibly creative use of available software programs through dedicated experts. This book contains articles from scientists and experts from 10 countries. They illuminate the width of application of this technology and the quality of problems solved using Discrete Event Simulation. Practical applications of simulation dominate in the present book. The book is aimed to researchers and students who deal in their work with Discrete Event Simulation and which want to inform them about current applications. By focusing on discrete event simulation, this book can also serve as an inspiration source for practitioners for solving specific problems during their work. Decision makers who deal with the question of the introduction of discrete event simulation for planning support and optimization this book provides a contribution to the orientation, what specific problems could be solved with the help of Discrete Event Simulation within the organization.


Simulation Modeling and Analysis with Expertfit Software

Simulation Modeling and Analysis with Expertfit Software

Author: Averill Law

Publisher: McGraw-Hill Science/Engineering/Math

Published: 2006-07-21

Total Pages: 792

ISBN-13: 9780073294414

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Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: • A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses. • A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. • An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).


Mathematical Modeling and Simulation

Mathematical Modeling and Simulation

Author: Pramod Belkhode

Publisher: CRC Press

Published: 2021

Total Pages: 128

ISBN-13: 9780367676353

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This book explains the concept of man-machine systems by using the mining industry. The goal is to use a mathematical model based approach to improve the quality of human life of the workers and operators with the enhancement of productivity by controlling the process variables. The book will illustrate the formulation of mathematical modelling for manual operations. It will provide details in the investigation of many machine systems through the case study approach and provide data analysis using the concept of mathematical modelling and sensitivity. It presents how to solve a field problem through a field data-based modelling concept and highlights the collection of anthropometry data and its behavior. The book will be useful for researchers, academic libraries, professionals, post graduate students of Industrial, Mechanical, and Manufacturing Engineering programs.


Simulation-Based Case Studies in Logistics

Simulation-Based Case Studies in Logistics

Author: Yuri Merkuryev

Publisher: Springer Science & Business Media

Published: 2009-01-13

Total Pages: 248

ISBN-13: 1848821875

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“Simulation-based Case Studies in Logistics” presents an intensive learning course on the application of simulation as a decision support tool to tackle complex logistic problems. The book describes and illustrates different approaches to developing simulation models at the right abstraction level to be used efficiently by engineers when dealing with strategic, tactical or operational decisions in logistic systems. 11 simulation-based case studies in logistics and supply chain management are discussed, based on the results of applied research, covering application areas such as production logistics, warehousing, transportation, material flow management, and hospital logistics. “Simulation-based Case Studies in Logistics” is an essential text for postgraduate engineering students and researchers working in the area of logistics modeling and simulation.


Statistics, Testing, and Defense Acquisition

Statistics, Testing, and Defense Acquisition

Author: National Research Council

Publisher: National Academies Press

Published: 1998-05-08

Total Pages: 240

ISBN-13: 0309174198

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For every weapons system being developed, the U.S. Department of Defense (DOD) must make a critical decision: Should the system go forward to full-scale production? The answer to that question may involve not only tens of billions of dollars but also the nation's security and military capabilities. In the milestone process used by DOD to answer the basic acquisition question, one component near the end of the process is operational testing, to determine if a system meets the requirements for effectiveness and suitability in realistic battlefield settings. Problems discovered at this stage can cause significant production delays and can necessitate costly system redesign. This book examines the milestone process, as well as the DOD's entire approach to testing and evaluating defense systems. It brings to the topic of defense acquisition the application of scientific statistical principles and practices.