Simio and Simulation

The text includes solved problems to help illustrate the fundamental concepts. Access to interactive software for analyzing plane framed structures is available for download via the text's companion website -- Publisher's website.

Simio and Simulation

Author: W. David Kelton

Publisher: CreateSpace

ISBN: 9781492116424

Page: 416

View: 333

Enjoy learning a key technology. Undergraduates and beginning graduates in both first and second simulation courses have responded positively to the approach taken in this text, which illustrates simulation principles using the popular Simio product. The full color interior graphics provides a superior learning experience. Content: This textbook explains how to use simulation to make better business decisions in application domains from healthcare to mining, heavy manufacturing to supply chains, and everything in between. It is written to help both technical and non-technical users better understand the concepts and usefulness of simulation. It can be used in a classroom environment or in support of independent study. Modern software makes simulation more useful and accessible than ever and this book illustrates simulation concepts with Simio, a leader in simulation software. Author Statement: This book can serve as the primary text in first and second courses in simulation at both the undergraduate and beginning-graduate levels. It is written in an accessible tutorial-style writing approach centered on specific examples rather than general concepts, and covers a variety of applications including an international flavor. Our experience has shown that these characteristics make the text easier to read and absorb, as well as appealing to students from many different cultural and applications backgrounds. A first simulation course would probably cover Chapter 1 through 8 thoroughly, and likely Chapters 9 and 10, particularly for upper class or graduate level students. For a second simulation course, it might work to skip or quickly review Chapters 1-3 and 6, thoroughly cover all other chapters up to Chapter 10, and use Chapter 11 as reinforcing assignments. The text or components of it could also support a simulation module of a few weeks within a larger survey course in programs without a stand-alone simulation course (e.g., MBA). For a simulation module that's part of a larger survey course, we recommend concentrating on Chapters 1, 4, and 5, and then perhaps lightly touch on Chapters 7 and 8. The extensibility introduced in Chapter 10 could provide some interesting project work for a graduate student with some programming background, as it could be easily linked to other research topics. Likewise Appendix A could be used as the lead-in to some advanced study or research in the latest techniques in simulation-based planning and scheduling. Supplemental course material is also available on-line. Third Edition Changes: The new third edition adds sections on Randomness in Simulation, Model Debugging, and Monte Carlo simulation. In addition, the coverage of animation, input analysis and output analysis has been significantly expanded. There is a new appendix on simulation-based scheduling, end-of-chapter problems have been improved and expanded, and we have incorporated many reader suggestions. We have reorganized the material for improved flow, and have updates throughout the book for many of the new Simio features recently added. A new format better supports our e-book users, and a new publisher supports significant cost reduction for our readers.

Simio and Simulation Modeling Analysis Applications

This fifth edition explains how to use simulation to make better business decisions in application domains from healthcare to mining, heavy manufacturing to supply chains, and everything in between.

Simio and Simulation  Modeling  Analysis  Applications

Author: Jeffrey Smith

Publisher: Createspace Independent Publishing Platform

ISBN: 9781727854589

Page: 436

View: 744

This fifth edition explains how to use simulation to make better business decisions in application domains from healthcare to mining, heavy manufacturing to supply chains, and everything in between. It is written to help both technical and non-technical users better understand the concepts and usefulness of simulation.

Simio and Simulation

Author Statement: This book can serve as the primary text in first and second courses in simulation at both the undergraduate and beginning-graduate levels.

Simio and Simulation

Author: W. David Kelton

Publisher: CreateSpace

ISBN: 9781493616206

Page: 416

View: 924

Enjoy learning a key technology. Undergraduates and beginning graduates in both first and second simulation courses have responded positively to the approach taken in this text, which illustrates simulation principles using the popular Simio product. This economy version substitutes grayscale interior graphics to keep costs low for students. Content: This textbook explains how to use simulation to make better business decisions in application domains from healthcare to mining, heavy manufacturing to supply chains, and everything in between. It is written to help both technical and non-technical users better understand the concepts and usefulness of simulation. It can be used in a classroom environment or in support of independent study. Modern software makes simulation more useful and accessible than ever and this book illustrates simulation concepts with Simio, a leader in simulation software. Author Statement: This book can serve as the primary text in first and second courses in simulation at both the undergraduate and beginning-graduate levels. It is written in an accessible tutorial-style writing approach centered on specific examples rather than general concepts, and covers a variety of applications including an international flavor. Our experience has shown that these characteristics make the text easier to read and absorb, as well as appealing to students from many different cultural and applications backgrounds. A first simulation course would probably cover Chapter 1 through 8 thoroughly, and likely Chapters 9 and 10, particularly for upper class or graduate level students. For a second simulation course, it might work to skip or quickly review Chapters 1-3 and 6, thoroughly cover all other chapters up to Chapter 10, and use Chapter 11 as reinforcing assignments. The text or components of it could also support a simulation module of a few weeks within a larger survey course in programs without a stand-alone simulation course (e.g., MBA). For a simulation module that's part of a larger survey course, we recommend concentrating on Chapters 1, 4, and 5, and then perhaps lightly touch on Chapters 7 and 8. The extensibility introduced in Chapter 10 could provide some interesting project work for a graduate student with some programming background, as it could be easily linked to other research topics. Likewise Appendix A could be used as the lead-in to some advanced study or research in the latest techniques in simulation-based planning and scheduling. Supplemental course material is also available on-line. Third Edition: The new third edition adds sections on Randomness in Simulation, Model Debugging, and Monte Carlo simulation. In addition, the coverage of animation, input analysis and output analysis has been significantly expanded. There is a new appendix on simulation-based scheduling, end-of-chapter problems have been improved and expanded, and we have incorporated many reader suggestions. We have reorganized the material for improved flow, and have updates throughout the book for many of the new Simio features recently added. A new format better supports our e-book users, and a new publisher supports significant cost reduction for our readers.

Simulation Modeling with Simio

Resum: This edition of the workbook has an evolved structure based on use and experience.

Simulation Modeling with Simio

Author: Jeffrey Joines

Publisher: Createspace Independent Publishing Platform

ISBN: 9781519333933

Page: 432

View: 196

This workbook features a participatory style of learning. You don't sit and read the book without a computer loaded with SIMIO. We expect your active participation in using SIMIO as you turn the pages. We try to carry on a conversation with you. Our belief is that simulation is not a spectator sport. This edition of the workbook has an evolved structure based on use and experience. More emphasis is placed on "why" modeling choices are made, to supplement the "how" in using SIMIO in simulation. In Chapter 1, we present fundamental simulation concepts, independent of SIMIO which can be skipped for those who already understand these fundamentals. In Chapters 2 through 6, concentrates of the use of the Standard Library Objects in SIMIO. You can do a lot of simulation modeling without resorting to more complex concepts. A key part of those chapters is learning to identify/separate the data in a model from the model structure. Chapter 7 introduces the fundamental topic of "processes," which we frequently employ in the following chapters. Chapters 8 and 9 concentrate on the important topics of flow and capacity. Chapter 10 introduces optimization in the context of supply chain modeling. Chapter 11 presents the influence of bias and variability on terminating and steady-state simulation. Chapter 12 introduces SIMIO materials handling features. Chapter 13 extends the use of resources while Chapters 14 and 15 describes the use of workers including the detailed services provided by task sequences and their animation. Chapter 16 details the simulation of call centers with reneging, balking, and cost optimization. Chapters 17 through 20 presents object-oriented simulation capabilities in SIMIO. Chapter 17 builds a model out of an existing model (we call it sub-modeling). Chapter 18 describes the anatomy of an existing SIMIO and in Chapter 19 we build a new object by "sub-classing" an existing object. In Chapter 20 a new object is designed and built from a base SIMIO object and its creation is contrasted with standard SIMIO object. Chapter 21 presents some of the continuous modeling features in SIMIO. Chapters 22 and 23 demonstrates the power of object-oriented simulation in the modeling supply chains and process planning respectively. We include an appendix on input modeling, although SIMIO does not provide software. The book is designed to be read from chapter to chapter, although it is possible to pick out certain concepts and topics. Some redundancy is helpful in learning. By the time you have finished this book you should be well-prepared to build models in SIMIO and to understand the virtues of different modeling approaches. Like SIMIO itself, this workbook has been designed for a variety of student, teacher, and practitioner audiences. For example, if you are interested in manufacturing, you will want to be sure to study data-based modeling in Chapter 5, assemply and packaging in Chapter 6, the workstation in Chapter 9, and material handling in Chapter 12. If you are interested in logistics, don't miss modeling of distances in Chapter 3, flow and capacity in Chapter 8, inventories and supply chains in Chapter 10, and free space travel in Chapter12. If you are interested in healthcare, be sure to review scheduled arrivals in Chapter 8, resource decision making in Chapter 13, mobile workers in Chapter 14, and animated people and task sequences in Chapter 15. If object-oreinted simulation is your interest, make sure to study Chapters 17 through 20, which describes how SIMIO provides composition and inheritance to create objects. Manufacting examples and examples from the service sector are used throughout. Also we pay some attention to input modeling (including input sensitivity) and output analysis (including confidence intervals and optimization). This workbook provides comprehensive and in-depth discussion of simulation modeling with SIMIO.

Simio and Simulation

Author Statement: This book can serve as the primary text in first and second courses in simulation at both the undergraduate and beginning-graduate levels.

Simio and Simulation

Author: Jeffrey S. Smith

Publisher: Createspace Independent Publishing Platform

ISBN: 9781546461920

Page: 462

View: 976

Enjoy learning a key technology. Undergraduates and beginning graduates in both first and second simulation courses have responded positively to the approach taken in this text, which illustrates simulation principles using the popular Simio product. This black and white economy version brings you the full textbook features without the cost of color illustrations and screenshots. Content: This textbook explains how to use simulation to make better business decisions in application domains from healthcare to mining, heavy manufacturing to supply chains, and everything in between. It is written to help both technical and non-technical users better understand the concepts and usefulness of simulation. It can be used in a classroom environment or in support of independent study. Modern software makes simulation more useful and accessible than ever and this book illustrates simulation concepts with Simio, a leader in simulation software. Author Statement: This book can serve as the primary text in first and second courses in simulation at both the undergraduate and beginning-graduate levels. It is written in an accessible tutorial-style writing approach centered on specific examples rather than general concepts, and covers a variety of applications including an international flavor. Our experience has shown that these characteristics make the text easier to read and absorb, as well as appealing to students from many different cultural and applications backgrounds. A first simulation course would probably cover Chapter 1 through 8 thoroughly, and likely Chapters 9 and 10, particularly for upper class or graduate level students. For a second simulation course, it might work to skip or quickly review Chapters 1-3 and 6, thoroughly cover all other chapters up to Chapter 11, and use Chapters 12, 13, and Appendix A as reinforcing assignments. The text or components of it could also support a simulation module of a few weeks within a larger survey course in programs without a stand-alone simulation course (e.g., MBA). For a simulation module that's part of a larger survey course, we recommend concentrating on Chapters 1, 4, and 5, and then perhaps lightly touch on Chapters 7 and 8. The extensibility introduced in Chapter 11 could provide some interesting project work for a graduate student with some programming background, as it could be easily linked to other research topics. Likewise, Chapter 13 could be used as the lead-in to some advanced study or research in the latest techniques in simulation-based planning and scheduling. Appendix A could be used as student assignments or challenge problems in an applications-focused or independent study course. Supplemental course material is also available on-line. Fourth Edition Changes: The new fourth edition is written for Simio Version 9 and later, the latest in simulation technology. In this edition, we added a new chapter on Miscellaneous Modeling Topics including sections on Searching, Balking and Reneging, Task Sequences, Event-based Decision logic, the Flow Library, the Extras Library, and Experimentation using Parallel and Cloud Processing. We also updated and promoted our former appendix on Simulation-based Scheduling to a chapter. And we added a new appendix referencing previous Simio Student Simulation Competition problems. In addition, the coverage of animation, input analysis and output analysis has been significantly expanded. End-of-chapter problems have been improved and expanded, and we have incorporated many reader suggestions. We have reorganized the material for an improved flow, and have updates throughout the book for many of the new Simio features recently added such as the properties window, and GIS mapping support.

Simio and Simulation Modeling Analysis Applications

Author Statement: This book can serve as the primary text in first and second courses in simulation at both the undergraduate and beginning-graduate levels.

Simio and Simulation  Modeling  Analysis  Applications

Author: Jeffrey Smith

Publisher: Createspace Independent Publishing Platform

ISBN: 9781727854961

Page: 436

View: 305

Enjoy learning a key technology. Undergraduates and beginning graduates in both first and second simulation courses have responded positively to the approach taken in this text, which illustrates simulation principles using the popular Simio product. This economy version substitutes grayscale interior graphics to keep costs low for students. Content: This textbook explains how to use simulation to make better business decisions in application domains from healthcare to mining, heavy manufacturing to supply chains, and everything in between. It is written to help both technical and non-technical users better understand the concepts and usefulness of simulation. It can be used in a classroom environment or in support of independent study. Modern software makes simulation more useful and accessible than ever and this book illustrates simulation concepts with Simio, a leader in simulation software. Author Statement: This book can serve as the primary text in first and second courses in simulation at both the undergraduate and beginning-graduate levels. It is written in an accessible tutorial-style writing approach centered on specific examples rather than general concepts, and covers a variety of applications including an international flavor. Our experience has shown that these characteristics make the text easier to read and absorb, as well as appealing to students from many different cultural and applications backgrounds. A first simulation course would probably cover Chapter 1 through 8 thoroughly, and likely Chapters 9 and 10, particularly for upper class or graduate level students. For a second simulation course, it might work to skip or quickly review Chapters 1-3 and 6, thoroughly cover all other chapters up to Chapter 10, and use Chapter 11 as reinforcing assignments. The text or components of it could also support a simulation module of a few weeks within a larger survey course in programs without a stand-alone simulation course (e.g., MBA). For a simulation module that's part of a larger survey course, we recommend concentrating on Chapters 1, 4, and 5, and then perhaps lightly touch on Chapters 7 and 8. The extensibility introduced in Chapter 11 could provide some interesting project work for a graduate student with some programming background, as it could be easily linked to other research topics. The all new Chapter 12 will support learning about Industry 4.0, digital twins, and how simulation and simulation-based scheduling can contribute to successful implementations. Supplemental course material is also available on-line. Fifth Edition Changes: The new fifth edition is written for Simio Version 10, the latest in simulation technology. We have incorporated many new features as well as reader suggestions. We have enhanced the Monte Carlo, input analysis, and output analysis content, and added new coverage of data-driven and data-generated modeling techniques. Finally, we added a new chapter named Simulation-based Scheduling in Industry 4.0 which illustrates how simulation is contributing to the creation and effective operation of digital twins and operational scheduling and control.

Simio and Simulation Modeling Analysis Applications

Content: The book is organized into three parts: Simulation Concepts, Simulation Model-Building with Simio, and Case Studies Using Simio.

Simio and Simulation  Modeling  Analysis  Applications

Author: W. Kelton

Publisher: Learning Solutions

ISBN: 9780073408880

Page: 378

View: 364

Content: The book is organized into three parts: Simulation Concepts, Simulation Model-Building with Simio, and Case Studies Using Simio. Each part is composed of two to six focused chapters. While the book as a whole will be fully integrated, the various chapters could stand alone as a module of a few weeks in a larger survey course, as well as serve as the foundation of a whole course on simulation that would go on to include some or all of the last three parts. Author Statement: Our objective is for this book to serve as the primary text in introductory and perhaps second courses in simulation at both the undergraduate and beginning-graduate levels. The text or components of it could also support a simulation module of a few weeks within a larger survey course in programs without a stand-alone simulation course (e.g., MBA). It is written in an accessible tutorial-style writing approach centered around specific examples rather than general concepts, and covers a variety of applications including an international flavor.

Rapid Modeling Solutions

Then perhaps use this book as a companion to the free software download to start building models on your first day.

Rapid Modeling Solutions

Author: C. Dennis Pegden

Publisher: CreateSpace

ISBN: 9781492955153

Page: 130

View: 546

Often management is the art of making strategic and tactical decisions with a total lack of objective information. How often do we wish for a crystal ball that would let us see how decisions today will play out in the future? Unfortunately it is not yet possible to predict the future, but it is possible to generate objective criteria to help make today's decisions. While simulation has been around for decades, recent advances have made it much more accessible and useful in our daily world. The software is now less expensive and easier to learn and use. And the flexibility and accuracy have dramatically improved. But most important, modern tools allow you to solve problems much faster than ever before – making those solutions timelier and less costly, and letting you reap the benefits quickly.We invite you to learn about simulation and its potential to improve your business. Then perhaps use this book as a companion to the free software download to start building models on your first day. After completing this introduction, you can continue your learning by taking advantage of the free video training available on the Simio web site or via the Support ribbon on the downloaded software.

Simulation Modeling with Simio

Resum: This edition of the workbook has an evolved structure based on use and experience. More emphasis is placed on "why" modeling choices are made, to supplement the "how" in using SIMIO in simulation.

Simulation Modeling with Simio

Author: Jeffrey Allen Joines

Publisher: Createspace Independent Publishing Platform

ISBN: 9781519142207

Page: 432

View: 703

This workbook features a participatory style of learning. You don't sit and read the book without a computer loaded with SIMIO. We expect your active participation in using SIMIO as you turn the pages. We try to carry on a conversation with you. Our belief is that simulation is not a spectator sport. This edition of the workbook has an evolved structure based on use and experience. More emphasis is placed on "why" modeling choices are made, to supplement the "how" in using SIMIO in simulation. In Chapter 1, we present fundamental simulation concepts, independent of SIMIO which can be skipped for those who already understand these fundamentals. In Chapters 2 through 6, concentrates of the use of the Standard Library Objects in SIMIO. You can do a lot of simulation modeling without resorting to more complex concepts. A key part of those chapters is learning to identify/separate the data in a model from the model structure. Chapter 7 introduces the fundamental topic of "processes," which we frequently employ in the following chapters. Chapters 8 and 9 concentrate on the important topics of flow and capacity. Chapter 10 introduces optimization in the context of supply chain modeling. Chapter 11 presents the influence of bias and variability on terminating and steady-state simulation. Chapter 12 introduces SIMIO materials handling features. Chapter 13 extends the use of resources while Chapters 14 and 15 describes the use of workers including the detailed services provided by task sequences and their animation. Chapter 16 details the simulation of call centers with reneging, balking, and cost optimization. Chapters 17 through 20 presents object-oriented simulation capabilities in SIMIO. Chapter 17 builds a model out of an existing model (we call it sub-modeling). Chapter 18 describes the anatomy of an existing SIMIO and in Chapter 19 we build a new object by "sub-classing" an existing object. In Chapter 20 a new object is designed and built from a base SIMIO object and its creation is contrasted with standard SIMIO object. Chapter 21 presents some of the continuous modeling features in SIMIO. Chapters 22 and 23 demonstrates the power of object-oriented simulation in the modeling supply chains and process planning respectively. We include an appendix on input modeling, although SIMIO does not provide software. The book is designed to be read from chapter to chapter, although it is possible to pick out certain concepts and topics. Some redundancy is helpful in learning. By the time you have finished this book you should be well-prepared to build models in SIMIO and to understand the virtues of different modeling approaches. Like SIMIO itself, this workbook has been designed for a variety of student, teacher, and practitioner audiences. For example, if you are interested in manufacturing, you will want to be sure to study data-based modeling in Chapter 5, assemply and packaging in Chapter 6, the workstation in Chapter 9, and material handling in Chapter 12. If you are interested in logistics, don't miss modeling of distances in Chapter 3, flow and capacity in Chapter 8, inventories and supply chains in Chapter 10, and free space travel in Chapter12. If you are interested in healthcare, be sure to review scheduled arrivals in Chapter 8, resource decision making in Chapter 13, mobile workers in Chapter 14, and animated people and task sequences in Chapter 15. If object-oreinted simulation is your interest, make sure to study Chapters 17 through 20, which describes how SIMIO provides composition and inheritance to create objects. Manufacting examples and examples from the service sector are used throughout. Also we pay some attention to input modeling (including input sensitivity) and output analysis (including confidence intervals and optimization). This workbook provides comprehensive and in-depth discussion of simulation modeling with SIMIO.

Better Business Decisions with Simulation

This book is ideally suited for a two - four week segment in a university course on Business Analytics, Management Science, healthcare analytics, or Operations Management.

Better Business Decisions with Simulation

Author: Michelle Boyd

Publisher:

ISBN: 9781503108059

Page: 74

View: 559

Better Business Decisions with Simulation: An Introduction for Business Students is an introduction to discrete event simulation (DES) intended for the MBA and related academic markets. The book presents an overview of DES and highlights the key role it can play in helping organizations improve the processes they employ to produce their goods and services. Following an overview of DES, the book presents an introduction to the SIMIO software system as well as a step-by-step description with pictures of how to build and analyze basic models in SIMIO. Several detailed examples are presented. The presentation is aimed at the non-technical audience with the intention of illustrating both the usefulness of DES modeling and analysis and the power of SIMIO. Along the way, the book highlights SIMIO's relative "ease of use" and debunks the notion that one needs to be an engineer or similarly trained analyst to build useful simulation models. With SIMIO's "select-drag-& click" modeling capability, the power of simulation has been taken to the masses! This book is ideally suited for a two - four week segment in a university course on Business Analytics, Management Science, healthcare analytics, or Operations Management. It could also be used as introductory materials for a corporate training course on modern simulation. Course materials, including PowerPoint slides and the SIMIO models discussed in the book are available for instructors adopting the book.

LSC CPSV UNIV OF CINCINNATI CINCINNATI Simio and Simulation Modeling Analysis Applications

The text or components of it could also support a simulation module of a few weeks within a larger sur- vey course in programs without a stand-alone simulation course (e.g., MBA).

LSC CPSV  UNIV OF CINCINNATI CINCINNATI  Simio and Simulation  Modeling  Analysis  Applications

Author: W. David Kelton

Publisher: Learning Solutions

ISBN: 9780073408927

Page: 382

View: 732

A primary text in introductory and perhaps second courses in simulation at both the under-graduate and beginning-graduate levels. Such simulation courses are found in departments of industrial and systems engineering, most business schools, and many computer-science departments; simulation courses are also found in other engineering disciplines (mechanical, civil, electrical, chemical), mathe- matics, statistics, epidemiology, and agriculture. The text or components of it could also support a simulation module of a few weeks within a larger sur- vey course in programs without a stand-alone simulation course (e.g., MBA). It is written in an accessible tutorial-style writing approach centered around specific examples rather than general concepts, and covers a variety of appli-cations. Our experience has shown that these characteristics make the text easier to read and absorb, as well as appealing to students from many dfferent backgrounds.

Robust Modelling and Simulation

This book presents for the first time a methodology that combines the power of a modelling formalism such as colored petri nets with the flexibility of a discrete event program such as SIMIO.

Robust Modelling and Simulation

Author: Idalia Flores De La Mota

Publisher: Springer

ISBN: 3319533215

Page: 162

View: 586

This book presents for the first time a methodology that combines the power of a modelling formalism such as colored petri nets with the flexibility of a discrete event program such as SIMIO. Industrial practitioners have seen the growth of simulation as a methodology for tacking problems in which variability is the common denominator. Practically all industrial systems, from manufacturing to aviation are considered stochastic systems. Different modelling techniques have been developed as well as mathematical techniques for formalizing the cause-effect relationships in industrial and complex systems. The methodology in this book illustrates how complexity in modelling can be tackled by the use of coloured petri nets, while at the same time the variability present in systems is integrated in a robust fashion. The book can be used as a concise guide for developing robust models, which are able to efficiently simulate the cause-effect relationships present in complex industrial systems without losing the simulation power of discrete-event simulation. In addition SIMIO’s capabilities allows integration of features that are becoming more and more important for the success of projects such as animation, virtual reality, and geographical information systems (GIS).

Simio Planning and Scheduling

Welcome to the world of simulation.

Simio Planning and Scheduling

Author: Glen Wirth

Publisher: Createspace Independent Publishing Platform

ISBN: 9781517189068

Page: 26

View: 945

Welcome to the world of simulation. Simulation provides a unique way to examine the future and make intelligent decisions based on what you learn. While simulation technology has been around for decades, it is still rapidly evolving. Advances in object-oriented approaches provide rapid modeling and the flexibility to model complex systems that could not be modeled just a few years ago. And integrated 3D animation makes the creation of compelling 3D visualizations easy, and this in turn helps assure more robust, understandable models and better communication with stakeholders. Simio extends that base technology to provide a unique solution for planning and scheduling. Simio provides Wonderware MES with Finite Capacity Scheduling and Advanced Planning and Scheduling functionality. Simio's patented approach to planning and scheduling is first to automate comparing a deterministic schedule from MRP with a variation adjusted schedule to let you effectively deal with breakdowns, unplanned events and material shortages. You can then re-schedule resources to acceptable levels of risk. Data is brought into memory for fast execution. While Simio takes full advantage of your existing data to quickly and automatically build you scheduling model, that base model can also be enhanced as needed to accurately capture complexity unique to your system. The team of architects behind Simio have been leaders in simulation since the early 1980's, playing key roles in the design and development of four previous market-leading products. Simio is the result of this team applying their collective 180 years of simulation experience and using the very latest in technology and development techniques to create a new generation of simulation problem solving capability.

Simulation for Industry 4 0

Smith JS, Sturrock DT, Kelton WD (2019) Simio and simulation: modeling,
analysis, applications, 5th edn. Simio LLC., Pittsburgh 2. Hopp WJ, Spreaman ML
(2008) Factory physics. McGraw Hill, New York, NY 3. Sturrock DT (2012) New ...

Simulation for Industry 4 0

Author: Murat M. Gunal

Publisher: Springer

ISBN: 3030041379

Page: 288

View: 790

The book shows how simulation’s long history and close ties to industry since the third industrial revolution have led to its growing importance in Industry 4.0. The book emphasises the role of simulation in the new industrial revolution, and its application as a key aspect of making Industry 4.0 a reality – and thus achieving the complete digitisation of manufacturing and business. It presents various perspectives on simulation and demonstrates its applications, from augmented or virtual reality to process engineering, and from quantum computing to intelligent management. Simulation for Industry 4.0 is a guide and milestone for the simulation community, as well as those readers working to achieve the goals of Industry 4.0. The connections between simulation and Industry 4.0 drawn here will be of interest not only to beginners, but also to practitioners and researchers as a point of departure in the subject, and as a guide for new lines of study.

Simulating Business Processes for Descriptive Predictive and Prescriptive Analytics

Vendors of simulation software can be rated on aspects such as: – Quality of
vendor (current user base, revenue, length in ... products/tecnomatix/ The
AnyLogic Company AnyLogic www.anylogic.com Simio LLC Simio www.simio.
com ...

Simulating Business Processes for Descriptive  Predictive  and Prescriptive Analytics

Author: Andrew Greasley

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 1547400692

Page: 352

View: 698

This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure that model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker. In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics, Andrew Greasley provides an in-depth discussion of Business process simulation and how it can enable business analytics How business process simulation can provide speed, cost, dependability, quality, and flexibility metrics Industrial case studies including improving service delivery while ensuring an efficient use of staff in public sector organizations such as the police service, testing the capacity of planned production facilities in manufacturing, and ensuring on-time delivery in logistics systems State-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people’s behavior Managers and decision makers will learn how simulation provides a faster, cheaper and less risky way of observing the future performance of a real-world system. The book will also benefit personnel already involved in simulation development by providing a business perspective on managing the process of simulation, ensuring simulation results are implemented, and that performance is improved.

Safety of Sea Transportation

Simio simulation results for only As 60 3 days. seen ships from in the the system
results and of simulation, simulation there was run are maximum respectively.
simulation and times683 Ship Ship and 8 39 and was A minimum hours stayed ...

Safety of Sea Transportation

Author: Adam Weintrit

Publisher: CRC Press

ISBN: 1351582046

Page: 436

View: 623

Safety of Sea Transportation is the second of two Conference Proceedings of TransNav 2017, June 21-23 in Gdynia, Poland. Safety of Sea Transportation will focus on the following themes: Sustainability, intermodal and multimodal transportation Safety and hydrodynamic study of hydrotechnical structures Bunkering and fuel consumption Gases emission, water pollution and environmental protection Occupational accidents Supply chain of blocks and spare parts Electrotechnical problems Ships stability and loading strength Cargo loading and port operations Maritime Education and Training (MET) Human factor, crew manning and seafarers problems Economic analysis Mathematical models, methods and algorithms Fishery Legal aspects Aviation

Process Improvement Principles

This book is targeted at busy managers and therefore is intentionally short in length. The goal of this book is to concisely convey the process improvement principles in as few words as possible.

Process Improvement Principles

Author: C. Pegden

Publisher: CreateSpace

ISBN: 9781503108240

Page: 68

View: 668

This book presents a set of process improvement principles that can be applied by managers to improve the design and operation of their production systems encompassing both manufacturing and service systems. A production system is comprised of one or more resources that are utilized to perform useful work. In a manufacturing setting the resources might include machines, tools, operators, and material handling devices. In a service system such as a health clinic the resources might include a waiting area, doctors and nurses, imaging equipment, and exam rooms. In either case the availability of resources limits the flow of work through the system. An entity is the work item that moves through the system. Note that an entity might be a part that we are manufacturing, a patient that we are treating in an emergency department, a passenger that we are processing at an airport, or a business transaction that we are executing. The process improvement principles that we develop will apply equally to all these different types of systems. Our objective is to design and run production systems that can efficiently process entities using the resources that we have allocated to the system. We want our entities to be processed with least cost and in a timely manner. We will use simulation models as the primary method for establishing our process improvement principles. We use simulation because of its ability to capture variability within our processes as well as its flexibility to quickly and easily model a wide range of production systems. A simulation model is able to "act out" the movement of entities through the system, and capture the impact of limited resources on the system performance. We can also watch animations of our systems, and gain insights into the system behavior. We can quickly evaluate many different system alternatives, and compare key performance indicators (KPI's) to select the best strategies. Although we will make use of many different simulation models in our analysis, there is no need for the reader to be skilled in building their own simulation models as they are provided and can be run with freely downloadable software. This book does not propose or present a process improvement methodology such as Six Sigma or Lean. Instead it presents and illustrates basic principles for process improvement that can be used with any methodology within your process improvement projects. For example within a Six Sigma project methodology involving the five phases of Define, Measure, Analyze, Improve, and Control, this book is focused on the fourth phase by presenting principles that improve process performance. This book is targeted at busy managers and therefore is intentionally short in length. The goal of this book is to concisely convey the process improvement principles in as few words as possible.

Deliver on Your Promise

"This book answers questions about why scheduling is so challenging, how scheduling solutions have evolved over time, and how simulation-based technology" can improve business processes.

Deliver on Your Promise

Author: C. Dennis Pegden, Ph.d.

Publisher: Createspace Independent Publishing Platform

ISBN: 9781546310259

Page: 88

View: 300

"This book answers questions about why scheduling is so challenging, how scheduling solutions have evolved over time, and how simulation-based technology" can improve business processes.