The mathematical programming approach called goal programming, or GP, has been in existence for over three decades. GP has been used to optimize decision-making from Christmas trees to allocating the resources of a whole nation's agricultural industry. This book reviews the body of knowledge on GP methodology and its applications. The approach used starts first by seeking to differentiate GP from other multiple criteria decision making methodologies. This is followed by a description of GP model formulation strategies to clearly define the methodological limitations and application boundaries of this powerful decision aid. A literature-based review of GP methodology is then presented to demonstrate the diverse potential in applying GP. The text material ends with a section speculating on future directions for the GP methodology and application. To conclude the book, a comprehensive bibliography of all journal research publications is presented.
1. Introduction to Goal Programming.- Descriptions of Goal Programming Models.- Relationship of GP to MS/OR.- Relationship of GP to MCDM.- The Life Cycle of GP Research.- Summary.- References.- 2. Goal Programming Model Formulation Strategies.- A Goal Programming Model Formulation Procedure.- Issues Related to Goal Programming Model Formulation.- Formulation Strategies and Tactics for Improving GP Modeling.- Summary.- References.- 3. Goal Programming Solution Methodology.- Primary Goal Programming Solution Methodologies.- Secondary Goal Programming Solution Methodologies.- Computer Software Supporting GP Solution Analysis.- Summary.- References.- 4. Goal Programming Applications.- Goal Programming Applications in Accounting.- Goal Programming Applications in Agriculture.- Goal Programming Applications in Economics.- Goal Programming Applications in Engineering.- Goal Programming Applications in Finance.- Goal Programming Applications in Government.- Goal Programming Applications in an International Context.- Goal Programming Applications in Management.- Goal Programming Applications in Marketing.- Summary.- 5. Future Trends in Goal Programming.- GP is Positioned for Growth.- Shifting the Life Cycle of GP Research to Growth.- Summary.- Reference.
'In summary, the present book can be highly recommended to graduate students and to researchers who are concerned in any sense with the field of goal programming and related topics.' Optimization, 38:2, 1996