Practical Goal Programming is intended to allow academics and
practitioners to be able to build effective goal programming
models, to detail the current state of the art, and to lay the
foundation for its future development and continued application to
new and varied fields. Suitable as both a text and reference, its
nine chapters first provide a brief history, fundamental
definitions, and underlying philosophies, and then detail the goal
programming variants and define them algebraically. Chapter 3
details the step-by-step formulation of the basic goal programming
model, and Chapter 4 explores more advanced modeling issues and
highlights some recently proposed extensions.
Chapter 5 then details the solution methodologies of goal
programming, concentrating on computerized solution by the Excel
Solver and LINGO packages for each of the three main variants, and
includes a discussion of the viability of the use of specialized
goal programming packages. Chapter 6 discusses the linkages between
Pareto Efficiency and goal programming. Chapters 3 to 6 are
supported by a set of ten exercises, and an Excel spreadsheet
giving the basic solution of each example is available at an
accompanying website.
Chapter 7 details the current state of the art in terms of the
integration of goal programming with other techniques, and the text
concludes with two case studies which were chosen to demonstrate
the application of goal programming in practice and to illustrate
the principles developed in Chapters 1 to 7. Chapter 8 details an
application in healthcare, and Chapter 9 describes applications in
portfolio selection.
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