Bücher von David L. Olson

The objective of the book is to provide materials to demonstrate the development of TOPSIS and to serve as a handbook. It contains the basic process of TOPSIS, numerous variant processes, property explanations, theoretical developments, and illustrative examples with real-world cases. Possible readers would be graduate students, researchers, analysts, and professionals who are interested in TOPSIS, a distance-based algorithm, and who would like to compare TOPSIS with other MCDM methods. The book serves as a research reference as well as a self-learning book with step-by-step illustrations for the MCDM community.

This book presents key concepts related to quantitative analysis in business.Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts.This book is aimed at business students, undergraduate and graduate, taking an introductory core course. Topics covered include knowledge management, visualization, sampling and hypothesis testing, regression (simple, multiple, and logistic), as well as optimization modeling. It concludes with a brief overview of data mining. Concepts are demonstrated with worked examples.

Data mining has become the fastest growing topic of interest in business programs in the past decade. This book is intended to describe the benefits of data mining in business, the process and typical business applications, the workings of basic data mining models, and demonstrate each with widely available free software.

This book addresses the use of quantitative tools to support general project management.Part I of the book deals with critical path modeling. Part II discusses risk modeling tools to include Program Evaluation and Review Technique (PERT), critical chain modeling, and agile/scrum approaches. Project control through earned value analysis is also covered. Part III is a Microsoft Project orientation. A feature of the book is an effort to tie content to that of the Project Management Body of Knowledge (PMBOK).Each chapter includes reference to how each chapter relates to the PMBOK structure and its relationship to the 2020 Project Management Professional (PMP) Exam Outline.

This book addresses project management in the context of general project management.An introductory chapter discusses project features in general. Part I of the book focuses attention on the important human element in project management. Part II discusses two processes involved in the initial project definition stage, as well as covering estimation. Part III involves planning and project risk and implementation.A feature of the book is an effort to tie content to that of the Project Management Body of Knowledge (PMBOK). Each chapter includes reference to how each chapter relates to the PMBOK structure, and relationship to the 2020 PMP Exam Outline.

This book brings a unique combination of years of experience in academics research and studies in regards to "e;ERP systems"e; with years of experience from a practitioner's perspective. Each year billions of dollars are spend by organizations to implement, manage, and maintain ERP systems. A simple browse through the Internet will demonstrate how challenging ERP implementations can be. Success rates are seen as quite low with time, costs, and effort typically being above planned and often significantly. Law firms make a living from ERP's gone badly. Academia is investing more and more time and research into developing success models that not only attempt to objectively determine ERP success or failure but also attempt to be a proactive in that effort. But why? If ERP systems (and all their inherent functionality) can bring a true ROI to business, why are they so challenging? Why do they often deliver as advertised? And, why are they often seen as failing?

This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold.

Further, it examines models related to pandemic planning, such as evaluation of financial contagion, debt risk analysis, and health system efficiency performance, and addresses specific models of pandemic parameters. The book demonstrates various tools using available data on the ongoing COVID-19 pandemic.

Chapter 2 covers data visualization, including directions for accessing R open source software (described through Rattle). Chapter 7 goes on to describe link analysis, social network metrics, and open source NodeXL software, and demonstrates link analysis application using PolyAnalyst output.

In recent years, a number of interesting decision aids have become available to assist in such decisions. The aim of this book is to provide a comparative survey of many of the decision aids currently available. Subsequent chapters then focus on specific decision aids and demonstrate some of the software which implement these ideas.

Enterprise risk management has always been important. However, the events of the 21st Century have made it even more critical. The top level of business management became suspect after scandals at ENRON, WorldCom, and other business entities. Financially, many firms experienced difficulties from bubbles. The problems of interacting cultures demonstrated risk from terrorism as well, with numerous terrorist attacks, to include 9/11 in the U.S. Risks can arise in many facets of business. Businesses in fact exist to cope with risk in their area of specialization. Financial risk management has focused on banking, accounting, and finance. We have discussed several aspects of risk, to include information systems, disaster management, and supply chain perspectives. The bulk of this book is devoted to presenting a number of operations research models that have been (or could be) applied to enterprise supply risk management, especially from the supply chain perspective.

1 Facility Location Problems The location problem has been with humans for all of their history. The development of industry involved location problems for production facilities and trade outlets. In the 19 century, there seemed to be a focus on the cost of transporting raw materials versus the cost of transporting goods to consumers.

1 Facility Location Problems The location problem has been with humans for all of their history. The development of industry involved location problems for production facilities and trade outlets. In the 19 century, there seemed to be a focus on the cost of transporting raw materials versus the cost of transporting goods to consumers.