© 1995

Goal Programming: Methodology and Applications


Table of contents

  1. Front Matter
    Pages i-xiv
  2. Marc J. Schniederjans
    Pages 1-19
  3. Marc J. Schniederjans
    Pages 21-44
  4. Marc J. Schniederjans
    Pages 45-72
  5. Marc J. Schniederjans
    Pages 73-100
  6. Marc J. Schniederjans
    Pages 101-108
  7. Back Matter
    Pages 109-219

About this book


Goal Programming Applications in Accounting 74 Goal Programming Applications in Agriculture 76 Goal Programming Applications in Economics 78 Goal Programming Applications in Engineering 79 Goal Programming Applications in Finance 80 Goal Programming Applications in Government 83 Goal Programming Applications in an International Context 88 Goal Programming Applications in Management 90 Goal Programming Applications in Marketing 97 Summary 98 CHAPTER 5. FUTURE TRENDS IN GOAL PROORAMMING 101 GP is Positioned for Growth 101 Shifting the Life Cycle of GP Research to Growth 103 Summary 107 Reference 108 APPENDIX A TEXTBOOKS, READINGS BOOKS AND MONOORAPHS ON GOAL PROORAMMING 109 APPENDIX B. JOURNAL RESEARCH PUBLICATIONS ON GOAL PROORAMMING 113 INDEX 213 viii LIST OF FIGURES Figure 1-1. Summary Relationship of GP with MS/OR and MCDM Figure 1-2. Frequency Distribution for GP Journal Publications Figure 1-3. Life Cycle ofGP Research Figure 2-1. Set of GP Efficient Solutions Figure 5-1. Life Cycle of GP Research ix LIST OF TABLES Table 1-1. MS/OR Topics and Their Related GP Topics Table 1-2. MCDM Subareas and Their Related GP Topics Table 1-3. Frequency Listing ofGP Journal Publications and Book Titles Table 2-1. Solutions for a Dominated GP Problem Table 2-2. Conversion ofLP Constraints to Goal Constraints Table 2-3. GP Citations on Dominance, Inferiority and Inefficiency Table 2-4. GP Citations on Relative Weighting, Prioritization and Incommensurability Table 2-5. MS/OR Topics and Their Related GP Topics Table 3-1. Citations on WeightedlPreemptive GP Methodology Table 3-2. Citations on Pure/Mixed Integer GP Methodology Table 3-3.


Mathematica calculus decision making mathematical programming modeling multiple-criteria decision-making optimization

Authors and affiliations

  1. 1.Department of ManagementUniversity of Nebraska-LincolnUSA

Bibliographic information


`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