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:

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.

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:

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.

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.