William Ho – författare

This book is the first in the literature to present the state of the art and some interesting and relevant applications of the Fuzzy Analytic Hierarchy Process (FAHP). The AHP is a conceptually and mathematically simple, easily implementable, yet extremely powerful tool for group decision making and is used around the world in a wide variety of decision situations, in fields such as government, business, industry, healthcare, and education. The aim of this book is to study various fuzzy methods for dealing with the imprecise and ambiguous data in AHP. Features: First book available on FAHP. Showcases state-of-the-art developments. Contains several novel real-life applications. Provides useful insights to both academics and practitioners in making group decisions under uncertainty This book provides the necessary background to work with existing fuzzy AHP models. Once the material in this book has been mastered, the reader will be able to apply fuzzy AHP models to his or her problems for making decisions with imprecise data.

Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in SAS work. The book is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, project management decisions, printed circuit board assembly, and multiple criteria decision making.The text begins with the algorithms and methods for linear programming, integer linear programming, and goal programming models. It then describes the principles of several OR procedures in SAS. Subsequent chapters explain how to use these procedures to solve various types of OR problems. Each of these chapters describes the concept of an OR problem, presents an example of the problem, and discusses the specific procedure and its macros for the optimal solution of the problem. The macros include data handling, model building, and report writing.While primarily designed for SAS users in OR and marketing analytics, the book can also be used by readers interested in mathematical modeling techniques. By formulating the OR problems as mathematical models, the authors show how SAS can solve a variety of optimization problems.

This book offers a timely and insightful look at how political tensions, economic disruptions, and technological advances are reshaping the way goods and services move across borders. At a time when global trade faces mounting pressure, this book explores how businesses, governments, and communities can adapt to an increasingly uncertain world.Spanning diverse geographic areas and themes, the book delves into the evolving trade dynamics between developed and developing countries, the involvement of governments alongside international partnerships, as well as the impact of emerging digital technologies such as automation and artificial intelligence. Additionally, it addresses how companies are reevaluating their business models to enhance resilience, adopt sustainable practices, and meet rising demands for ethical conduct. Rich case studies from recent years bring these themes to life, highlighting real-world examples of innovation, adaptation, and strategic thinking.This volume serves as a vital resource for students, researchers, policymakers, and business executives aiming to comprehend and tackle the intricate challenges currently confronting global value chains. Whether engaged in international trade studies or overseeing a multinational enterprise, readers will find practical advice and forward-looking strategies essential for navigating a period characterized by transformation.

This book offers a timely and insightful look at how political tensions, economic disruptions, and technological advances are reshaping the way goods and services move across borders. At a time when global trade faces mounting pressure, this book explores how businesses, governments, and communities can adapt to an increasingly uncertain world.Spanning diverse geographic areas and themes, the book delves into the evolving trade dynamics between developed and developing countries, the involvement of governments alongside international partnerships, as well as the impact of emerging digital technologies such as automation and artificial intelligence. Additionally, it addresses how companies are reevaluating their business models to enhance resilience, adopt sustainable practices, and meet rising demands for ethical conduct. Rich case studies from recent years bring these themes to life, highlighting real-world examples of innovation, adaptation, and strategic thinking.This volume serves as a vital resource for students, researchers, policymakers, and business executives aiming to comprehend and tackle the intricate challenges currently confronting global value chains. Whether engaged in international trade studies or overseeing a multinational enterprise, readers will find practical advice and forward-looking strategies essential for navigating a period characterized by transformation.

Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in SAS work. The book is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, project management decisions, printed circuit board assembly, and multiple criteria decision making.The text begins with the algorithms and methods for linear programming, integer linear programming, and goal programming models. It then describes the principles of several OR procedures in SAS. Subsequent chapters explain how to use these procedures to solve various types of OR problems. Each of these chapters describes the concept of an OR problem, presents an example of the problem, and discusses the specific procedure and its macros for the optimal solution of the problem. The macros include data handling, model building, and report writing.While primarily designed for SAS users in OR and marketing analytics, the book can also be used by readers interested in mathematical modeling techniques. By formulating the OR problems as mathematical models, the authors show how SAS can solve a variety of optimization problems.

This book is the first in the literature to present the state of the art and some interesting and relevant applications of the Fuzzy Analytic Hierarchy Process (FAHP). The AHP is a conceptually and mathematically simple, easily implementable, yet extremely powerful tool for group decision making and is used around the world in a wide variety of decision situations, in fields such as government, business, industry, healthcare, and education. The aim of this book is to study various fuzzy methods for dealing with the imprecise and ambiguous data in AHP.Features:First book available on FAHPShowcases state-of-the-art developmentsContains several novel real-life applicationsProvides useful insights to both academics and practitioners in making group decisions under uncertaintyThis book provides the necessary background to work with existing fuzzy AHP models. Once the material in this book has been mastered, the reader will be able to apply fuzzy AHP models to his or her problems for making decisions with imprecise data.

Printed circuit boards (PCBs) play a vital role in our daily lives. With increasing applications of PCBs, one way to increase a PCB manufacturer’s competitiveness in terms of operation efficiency is to minimize production time. This is the first book to focus on the optimization of the PCB assembly lines’ efficiency. It integrates the component sequencing and the feeder arrangement problems together for the pick-and-place machine and the chip shooter machines; constructs mathematical models and develops an effective heuristic solution approach for the integrated problems of placement machines, the line assignment problem, and the component allocation problem; and develops a prototype of the PCB assembly planning system.The techniques proposed will enable process planners in the electronics industry to improve their assembly line’s efficiency. Graduate students in operations research can use this to familiarise themselves with the techniques and applications of mathematical modeling.