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 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.

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 advanced introduction to optimal production planning for PCB assembly details ways a reader can improve the efficiency of the assembly line in their company. It presents mathematical modeling techniques and heuristic solution approaches to optimize some critical PCB assembly problems arising in the industry.

It is indisputable that printed circuit boards (PCBs) play a vital role in our daily lives. With the ever-increasing applications of PCBs, one of the crucial ways to increase a PCB manufacturera (TM)s competitiveness in terms of operation efficiency is to minimize the production time so that the products can be introduced to the market sooner.

Optimal Production Planning for PCB Assembly is the first book to focus on the optimization of the PCB assembly linesa (TM) efficiency. This is done by:

a [ integrating the component sequencing and the feeder arrangement problems together for both the pick-and-place machine and the chip shooter machine;

a [ constructing mathematical models and developing an efficient and effective heuristic solution approach for the integrated problems for both types of placement machines, the line assignment problem, and the component allocation problem; and

a [ developing a prototype of the PCB assembly planning system.

The techniques proposed in Optimal Production Planning for PCB Assembly will enable process planners in the electronics manufacturing industry to improve the assembly linea (TM)s efficiency in their companies. Graduate students in operations research can familiarise themselves with the techniques and the applications of mathematical modeling after reading this advanced introduction to optimal production planning for PCB assembly.

This volume in The Collected Edition of the Works of W.B.Yeats brings together for the first time thirty-two introductions written for anthologies that he edited or for books by other writers. The introductions span the full length of his career. Their topics range from Irish legends and folklore to the design of graceful new Irish coins. The authors he discusses include William Blake, J.M.Synge, Lady Gregory, Oscar Wilde, Oliver St John Gogarty, Lionel Johnson and Rabindranath Tagore. Full explanatory notes and an index give the reader easy access to the volume's diverse array of topics. The text is reliable and accurate.

This volume in The Collected Edition of the Works of W.B.Yeats brings together for the first time thirty-two introductions written for anthologies that he edited or for books by other writers. The introductions span the full length of his career. Their topics range from Irish legends and folklore to the design of graceful new Irish coins. The authors he discusses include William Blake, J.M.Synge, Lady Gregory, Oscar Wilde, Oliver St John Gogarty, Lionel Johnson and Rabindranath Tagore. Full explanatory notes and an index give the reader easy access to the volume's diverse array of topics. The text is reliable and accurate.