Introduction To Business Analytics Using Simulation

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Introduction to Business Analytics Using Simulation

Author : Jonathan P. Pinder
Publisher : Academic Press
ISBN 13 : 0323991173
Total Pages : 513 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Introduction to Business Analytics Using Simulation by : Jonathan P. Pinder

Download or read book Introduction to Business Analytics Using Simulation written by Jonathan P. Pinder and published by Academic Press. This book was released on 2022-02-06 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making Explains the processes needed to develop, report and analyze business data Describes how to use and apply business analytics software Offers expanded coverage on the value and application of prescriptive analytics Includes a wealth of illustrative exercises that are newly organized by difficulty level Winner of the 2017 Textbook and Academic Authors Association's (TAA) Most Promising New Textbook Award in the prior edition

Introduction to Business Analytics Using Simulation Models

Author : Jonathan Pinder
Publisher :
ISBN 13 : 9781515385134
Total Pages : 328 pages
Book Rating : 4.3/5 (851 download)

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Book Synopsis Introduction to Business Analytics Using Simulation Models by : Jonathan Pinder

Download or read book Introduction to Business Analytics Using Simulation Models written by Jonathan Pinder and published by . This book was released on 2015-08-06 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Business Analytics Using Simulation Models introduces the fundamental principle of business analytics and data science: APPLIED PROBABILITY. Because probability is extremely counter-intuitive, the book makes extensive use of simulation models to provide students with experiential learning to develop a deep and true understanding of how uncertainty and decision-making work. This book helps you understand the foundation of data science techniques in use today.Based on an MBA course Jon has taught at Wake Forest University over the past 25 years, Introduction to Business Analytics Using Simulation Models provides examples of real-world business problems to illustrate these principles. You'll learn how to think about the uncertain future and create data-science probability models for business decision-making.

An Introduction to Business Analytics

Author : Ger Koole
Publisher : Lulu.com
ISBN 13 : 9082017938
Total Pages : 174 pages
Book Rating : 4.0/5 (82 download)

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Book Synopsis An Introduction to Business Analytics by : Ger Koole

Download or read book An Introduction to Business Analytics written by Ger Koole and published by Lulu.com. This book was released on 2019-03-13 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Analytics (BA) is about turning data into decisions. This book covers the full range of BA topics, including statistics, machine learning and optimization, in a way that makes them accessible to a broader audience. Decision makers will gain enough insight into the subject to have meaningful discussions with machine learning specialists, and those starting out as data scientists will benefit from an overview of the field and take their first steps as business analytics specialist. Through this book and the various exercises included, you will be equipped with an understanding of BA, while learning R, a popular tool for statistics and machine learning.

Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics

Author : Andrew Greasley
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1547400714
Total Pages : 405 pages
Book Rating : 4.5/5 (474 download)

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Book Synopsis Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics by : Andrew Greasley

Download or read book Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics written by Andrew Greasley and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-10-21 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Global Business Analytics Models

Author : Hokey Min
Publisher : FT Press
ISBN 13 : 0134057619
Total Pages : 239 pages
Book Rating : 4.1/5 (34 download)

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Book Synopsis Global Business Analytics Models by : Hokey Min

Download or read book Global Business Analytics Models written by Hokey Min and published by FT Press. This book was released on 2016-03-05 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: THE COMPLETE GUIDE TO USING ANALYTICS TO MANAGE RISK AND UNCERTAINTY IN COMPLEX GLOBAL BUSINESS ENVIRONMENTS Practical techniques for developing reliable, actionable intelligence–and using it to craft strategy Analytical opportunities to solve key managerial problems in global enterprises Written for working managers: packed with realistic, useful examples This guide helps global managers use modern analytics to gain reliable, actionable, and timely business intelligence–and use it to manage risk, build winning strategies, and solve urgent problems. Dr. Hokey Min offers a practical, easy-to-understand overview of business analytics in a global context, focusing especially on managerial and strategic implications. After demystifying today’s core quantitative tools, he demonstrates them at work in a wide spectrum of global applications. You’ll build models to help segment global markets, forecast demand, assess risk, plan financing, optimize supply chains, and more. Along the way, you’ll find practical guidance for developing analytic thinking, operationalizing Big Data in global environments, and preparing for future analytical innovations. Whether you’re a global executive, strategist, analyst, marketer, supply chain professional, student or researcher, this book will help you drive real value from analytics–in smarter decisions, improved strategy, and better management. In today’s global business environments characterized by growing complexity, volatility, and uncertainty, business analytics has become an indispensable tool for managing these challenges. Specifically, global managers need analytics expertise to solve problems, identify opportunities, shape strategy, mitigate risk, and improve their day-to-day operational efficiency. Now, for the first time, there’s an analytics guide designed specifically for decision-makers in global organizations. Leveraging his experience teaching a number of students and training hundreds of managers and executives, Dr. Hokey Min demystifies the principles and tools of modern business analytics, and demonstrates their real-world use in global business. First, Dr. Min identifies key success factors and mindsets, helping you establish the preconditions for effective analysis. Next, he walks you through the practicalities of collecting, organizing, and analyzing Big Data, and developing models to transform them into actionable insight. Building on these foundations, he illustrates core analytical applications in finance, healthcare, and global supply chains. He concludes by previewing emerging trends in analytics, including the newest tools for automated decision-making. Compare today’s key quantitative tools Stats, data mining, OR, and simulation: how they work, when to use them Get the right data... ...and get the data right Predict the future... ...and sense its arrival sooner than others can

Spreadsheet Modeling and Decision Analysis

Author : Cliff T. Ragsdale
Publisher :
ISBN 13 : 9780324021240
Total Pages : 794 pages
Book Rating : 4.0/5 (212 download)

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Book Synopsis Spreadsheet Modeling and Decision Analysis by : Cliff T. Ragsdale

Download or read book Spreadsheet Modeling and Decision Analysis written by Cliff T. Ragsdale and published by . This book was released on 2001 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Getting Started with Business Analytics

Author : David Roi Hardoon
Publisher : CRC Press
ISBN 13 : 1439896534
Total Pages : 192 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Getting Started with Business Analytics by : David Roi Hardoon

Download or read book Getting Started with Business Analytics written by David Roi Hardoon and published by CRC Press. This book was released on 2013-03-26 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts and terminologies and give many examples of real-world applications. The first part of the book introduces business data and recent technologies that have promoted fact-based decision-making. The authors look at how business intelligence differs from business analytics. They also discuss the main components of a business analytics application and the various requirements for integrating business with analytics. The second part presents the technologies underlying business analytics: data mining and data analytics. The book helps you understand the key concepts and ideas behind data mining and shows how data mining has expanded into data analytics when considering new types of data such as network and text data. The third part explores business analytics in depth, covering customer, social, and operational analytics. Each chapter in this part incorporates hands-on projects based on publicly available data. Helping you make sound decisions based on hard data, this self-contained guide provides an integrated framework for data mining in business analytics. It takes you on a journey through this data-rich world, showing you how to deploy business analytics solutions in your organization.

Better Business Decisions with Simulation

Author : Michelle Boyd
Publisher :
ISBN 13 : 9781503108059
Total Pages : 74 pages
Book Rating : 4.1/5 (8 download)

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Book Synopsis Better Business Decisions with Simulation by : Michelle Boyd

Download or read book Better Business Decisions with Simulation written by Michelle Boyd and published by . This book was released on 2014-11-06 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Managerial Decision Modeling

Author : Nagraj (Raju) Balakrishnan
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1501506315
Total Pages : 828 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Managerial Decision Modeling by : Nagraj (Raju) Balakrishnan

Download or read book Managerial Decision Modeling written by Nagraj (Raju) Balakrishnan and published by Walter de Gruyter GmbH & Co KG. This book was released on 2017-08-07 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941

Human-Centric Smart Computing

Author : Siddhartha Bhattacharyya
Publisher : Springer Nature
ISBN 13 : 9819977118
Total Pages : 703 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Human-Centric Smart Computing by : Siddhartha Bhattacharyya

Download or read book Human-Centric Smart Computing written by Siddhartha Bhattacharyya and published by Springer Nature. This book was released on with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practical Business Analytics Using SAS

Author : Shailendra Kadre
Publisher : Apress
ISBN 13 : 1484200438
Total Pages : 565 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Practical Business Analytics Using SAS by : Shailendra Kadre

Download or read book Practical Business Analytics Using SAS written by Shailendra Kadre and published by Apress. This book was released on 2015-02-07 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.

Mathematical Modeling for Business Analytics

Author : William P. Fox
Publisher : CRC Press
ISBN 13 : 1351368230
Total Pages : 336 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Mathematical Modeling for Business Analytics by : William P. Fox

Download or read book Mathematical Modeling for Business Analytics written by William P. Fox and published by CRC Press. This book was released on 2017-12-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Modeling for Business Analytics is written for decision makers at all levels. This book presents the latest tools and techniques available to help in the decision process. The interpretation and explanation of the results are crucial to understanding the strengths and limitations of modeling. This book emphasizes and focuses on the aspects of constructing a useful model formulation, as well as building the skills required for decision analysis. The book also focuses on sensitivity analysis. The author encourages readers to formally think about solving problems by using a thorough process. Many scenarios and illustrative examples are provided to help solve problems. Each chapter is also comprehensively arranged so that readers gain an in-depth understanding of the subject which includes introductions, background information and analysis. Both undergraduate and graduate students taking methods courses in methods and discrete mathematical modeling courses will greatly benefit from using this book. Boasts many illustrative examples to help solve problems Provides many solutions for each chapter Emphasizes model formulation and helps create model building skills for decision analysis Provides the tools to support analysis and interpretation

Business Analytics

Author : Jeffrey D. Camm
Publisher : Cengage AU
ISBN 13 : 0357131789
Total Pages : 882 pages
Book Rating : 4.3/5 (571 download)

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Book Synopsis Business Analytics by : Jeffrey D. Camm

Download or read book Business Analytics written by Jeffrey D. Camm and published by Cengage AU. This book was released on 2020-03-10 with total page 882 pages. Available in PDF, EPUB and Kindle. Book excerpt: Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts.

Prescriptive Analytics

Author : Dursun Delen
Publisher : FT Press
ISBN 13 : 013438900X
Total Pages : 287 pages
Book Rating : 4.1/5 (343 download)

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Book Synopsis Prescriptive Analytics by : Dursun Delen

Download or read book Prescriptive Analytics written by Dursun Delen and published by FT Press. This book was released on 2019-10-21 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make Better Decisions, Leverage New Opportunities, and Automate Decisioning at Scale Prescriptive analytics is more directly linked to successful decision-making than any other form of business analytics. It can help you systematically sort through your choices to optimize decisions, respond to new opportunities and risks with precision, and continually reflect new information into your decisioning process. In Prescriptive Analytics, analytics expert Dr. Dursun Delen illuminates the field’s state-of-the-art methods, offering holistic insight for both professionals and students. Delen’s end-to-end, all-inclusive approach covers optimization, simulation, multi-criteria decision-making methods, inference- and heuristic-based decisioning, and more. Balancing theory and practice, he presents intuitive conceptual illustrations, realistic example problems, and real-world case studies–all designed to deliver knowledge you can use. Discover where prescriptive analytics fits and how it improves decision-making Identify optimal solutions for achieving an objective within real-world constraints Analyze complex systems via Monte-Carlo, discrete, and continuous simulations Apply powerful multi-criteria decision-making and mature expert systems and case-based reasoning Preview emerging techniques based on deep learning and cognitive computing

Microsoft Excel 2019 Data Analysis and Business Modeling

Author : Wayne Winston
Publisher : Microsoft Press
ISBN 13 : 1509306080
Total Pages : 1488 pages
Book Rating : 4.5/5 (93 download)

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Book Synopsis Microsoft Excel 2019 Data Analysis and Business Modeling by : Wayne Winston

Download or read book Microsoft Excel 2019 Data Analysis and Business Modeling written by Wayne Winston and published by Microsoft Press. This book was released on 2019-03-28 with total page 1488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. New coverage ranges from Power Query/Get & Transform to Office 365 Geography and Stock data types. Practice with more than 800 problems, many based on actual challenges faced by working analysts. Solve real business problems with Excel—and build your competitive advantage: Quickly transition from Excel basics to sophisticated analytics Use PowerQuery or Get & Transform to connect, combine, and refine data sources Leverage Office 365’s new Geography and Stock data types and six new functions Illuminate insights from geographic and temporal data with 3D Maps Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts Use Excel trend curves, multiple regression, and exponential smoothing Delve into key financial, statistical, and time functions Master all of Excel’s great charts Quickly create forecasts from historical time-based data Use Solver to optimize product mix, logistics, work schedules, and investments—and even rate sports teams Run Monte Carlo simulations on stock prices and bidding models Learn about basic probability and Bayes’ Theorem Use the Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook Automate repetitive analytics tasks by using macros

Business Analytics, Volume I

Author : Amar Sahay
Publisher : Business Expert Press
ISBN 13 : 1631573322
Total Pages : 242 pages
Book Rating : 4.6/5 (315 download)

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Book Synopsis Business Analytics, Volume I by : Amar Sahay

Download or read book Business Analytics, Volume I written by Amar Sahay and published by Business Expert Press. This book was released on 2018-08-23 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Analytics: A Data-Driven Decision Making Approach for Business-Part I,/i> provides an overview of business analytics (BA), business intelligence (BI), and the role and importance of these in the modern business decision-making. The book discusses all these areas along with three main analytics categories: (1) descriptive, (2) predictive, and (3) prescriptive analytics with their tools and applications in business. This volume focuses on descriptive analytics that involves the use of descriptive and visual or graphical methods, numerical methods, as well as data analysis tools, big data applications, and the use of data dashboards to understand business performance. The highlights of this volume are: Business analytics at a glance; Business intelligence (BI), data analytics; Data, data types, descriptive analytics; Data visualization tools; Data visualization with big data; Descriptive analytics-numerical methods; Case analysis with computer applications.

Business Analytics with Management Science Models and Methods

Author : Arben Asllani
Publisher : Pearson Education
ISBN 13 : 0133760359
Total Pages : 401 pages
Book Rating : 4.1/5 (337 download)

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Book Synopsis Business Analytics with Management Science Models and Methods by : Arben Asllani

Download or read book Business Analytics with Management Science Models and Methods written by Arben Asllani and published by Pearson Education. This book was released on 2015 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about prescriptive analytics. It provides business practitioners and students with a selected set of management science and optimization techniques and discusses the fundamental concepts, methods, and models needed to understand and implement these techniques in the era of Big Data. A large number of management science models exist in the body of literature today. These models include optimization techniques or heuristics, static or dynamic programming, and deterministic or stochastic modeling. The topics selected in this book, mathematical programming and simulation modeling, are believed to be among the most popular management science tools, as they can be used to solve a majority of business optimization problems. Over the years, these techniques have become the weapon of choice for decision makers and practitioners when dealing with complex business systems.