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Modeling Dynamic Systems

An Introduction

By: Bernard McGarvey, Bruce Hannon

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Hardcover | 8 January 2004

At a Glance

Hardcover
324 Pages

Dimensions(cm)
23.5 x 15.88 x 1.91

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$169.00

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Modelling is a tool used by savvy business managers to understand the processes of their business and to estimate the impact of changes. Dynamic Modelling for Business Management applies dynamic modelling to business management, using accessible modelling techniques that are demonstrated starting with fundamental processes and advancing to more complex business models. Discussions of modelling emphasize its practical use for decision making and implementing change for measurable results. Readers will learn about both manufacturing and service-oriented business processes using hands-on lessons. Then will then be able to manipulate additional models to try out their knowledge and address issues specific to their own businesses and interests. All of the models used in the book and a run-time version of the ithink software are included on a CD-ROM included with the book. Some of the topics covered include workflow management, supply-chain-management, and strategy.

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You Can Find This Book In

Non-Fiction Computing & I.T.Graphical & Digital Media Applications 3D Graphics & Modelling Mathematics Optimisation Linear Programming Business & Management Management & Management Techniques Management Decision Making Applied Mathematics Economics

Economics of Industrial Organisation Political Economy Industry & Industrial Studies

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Paperback

Published: 15th February 2014

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Preface
Introduction to Ithink
Introduction
Static, comparative static, and dynamic models
Model components
Modeling in Ithink
The detailed modeling process
Modeling of Dynamic Business Systems
Introduction
Making the organization more manageable-systems and processes
Creating and using a model
Structural complexity-a market share model
Complexity due to random variation-an order control process
Further benefits of dynamic modeling
Organization principle of this book
Measuring Process Performance
Introduction
Financial measures of performance
The basic profit model
The role of time, borrowing, and lending
Choosing among alternatives
Optimizing at the level of the firm
Issues with financial measures
Beyond process output measures
The process model approach
Single-Step Processes
Introduction
The basic process model and Little's Law
Queuing systems
Transient queuing behavior
Further modeling with queuing systems
Multistep Serial Workflow Processes
Introduction
Modeling multistep processes in ITHINK
Specifying models/modeling objectives
An uncoupled process-an order handling process
A tightly coupled process-a fast food restaurant process
Other configurations
Multistep parallel workflow processes
Introduction
Parallel queuing models-designing a checkout system
Resource implications-the fast food restaurant revisited
Telephone call center model-balking
Machine repair model
Batching-a laboratory analysis model
The Supplier Interface: Managing Risk
Introduction
First-moment managers
Second-moment managers
Third-moment managers
Fourth-moment managers
Customer Interface
Introduction
The basic Make-to-Stock model-controlling the inventory level
The Make-to-Order process- customer interface
The Tradeoffs between Quality, Speed, and Cost
Introduction
Model development
The tradeoffs
Coping with uncertainty
Modeling Supply Chains
Introduction
Introduction to the Beer Game
The Beer Game model
Further analysis of the Beer Game model
Modifications to the basic model
Using the Beer Game model in game mode
The Dynamics of Management Strategy: an Ecological Metaphor
Introduction
Hierarchy in nature
A model demonstrating the hierarchical nature of an expanding business
Modeling Improvement Processes
Introduction
Learning curves
Modeling an improvement process
Model results
Other types of learning curves
Modeling Random Variation in Business Systems
Introduction
The uniform distribution
The triangular distribution
The normal distribution-common cause process variation
The exponential distribution-equipment failure times
The Poisson distribution-modeling defects in products
The pass/fail and binomial distribution-product failures
Bimodal distributions-parallel process flows
Custom distributions
The relative comparison of random variation
Discussion of the Actual Profiles for the Examples of Chapter 2
Economic Value Added
Derivation of Equations 6.2, 6.3, and 6.4
Appendix D
Index
Table of Contents provided by Publisher. All Rights Reserved.

Modeling Dynamic Systems

An Introduction

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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