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1995 | Buch

Goal Programming: Methodology and Applications

verfasst von: Marc J. Schniederjans

Verlag: Springer US

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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction to Goal Programming
Abstract
This book is designed to provide students, faculty and researchers a perspective and review of the total body of published goal programming (GP) research to date. The objective of this book is to present a comprehensive overview of goal programming methodology and applications, past and present, as they are reflected in journal publications and books. It is assumed that readers will have some basic knowledge of GP. With the exception of this chapter, the remaining chapters in this book are fairly independent of each other and can be referenced or read independently of the others.
Marc J. Schniederjans
Chapter 2. Goal Programming Model Formulation Strategies
Abstract
Controversy is a part of any modeling effort, particularly goal programming (GP) modeling. Unfortunately controversy in the way GP models are formulated and presented in the literature has undoubtedly lead to many useful and potentially great models being rejected in the review process for publication. There is need for both the creators of GP models and journal reviewers to understand some of the basics and confusing issues of GP model formulation that exist in the literature.
Marc J. Schniederjans
Chapter 3. Goal Programming Solution Methodology
Abstract
When goal programming (GP) was introduced in the mid 1950’s there was little computer software (or computers) to help support the growth of this computationally dependent methodology. By the early 1970’s both computers and software applications where in place to encourage the development of GP modeling. As the life cycle of GP research in Figure 1-3 in Chapter 1 reveals, the real growth period for GP literature began at this very same time. The GP software required the availability of GP algorithms used to generate the primary GP problem solutions. In addition, a collection of supporting algorithms are also necessary to permit a post-solution analysis or secondary consideration of the solutions obtained in the primary solution. Collectively, these primary and secondary algorithms can be called GP solution methodologies.
Marc J. Schniederjans
Chapter 4. Goal Programming Applications
Abstract
Goal programming (GP) is a very applied methodology. In the over 980 journal citations listed in Appendix B,666 or over 68 percent are applications, case studies or applied models. Indeed, the diversity of application in GP is now so great that just their listing will absorb this entire chapter.
Marc J. Schniederjans
Chapter 5. Future Trends in Goal Programming
Abstract
Goal programming (GP) research has had a great past and will have a great future in helping to improve decision making. Trends in the types of GP research that appear in the literature are important to observe in order to take part in making contributions to that future.
Marc J. Schniederjans
Backmatter
Metadaten
Titel
Goal Programming: Methodology and Applications
verfasst von
Marc J. Schniederjans
Copyright-Jahr
1995
Verlag
Springer US
Electronic ISBN
978-1-4615-2229-4
Print ISBN
978-1-4613-5937-1
DOI
https://doi.org/10.1007/978-1-4615-2229-4