Goal Programming: Methodology and Applications

Goal Programming: Methodology and Applications
Author :
Publisher : Springer Science & Business Media
Total Pages : 230
Release :
ISBN-10 : 9781461522294
ISBN-13 : 1461522293
Rating : 4/5 (293 Downloads)

Book Synopsis Goal Programming: Methodology and Applications by : Marc Schniederjans

Download or read book Goal Programming: Methodology and Applications written by Marc Schniederjans and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Goal Programming: Methodology and Applications Related Books

Goal Programming: Methodology and Applications
Language: en
Pages: 230
Authors: Marc Schniederjans
Categories: Business & Economics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Goal Programming Applications in Accounting 74 Goal Programming Applications in Agriculture 76 Goal Programming Applications in Economics 78 Goal Programming Ap
Handbook of Critical Issues in Goal Programming
Language: en
Pages: 144
Authors: C. Romero
Categories: Business & Economics
Type: BOOK - Published: 1991-01-18 - Publisher: Pergamon

DOWNLOAD EBOOK

Goal Programming (GP) is perhaps the oldest and most widely used approach within the Multiple Criteria Decision Making (MCDM) paradigm. GP combines the logic of
Introduction to Linear Goal Programming
Language: en
Pages: 96
Authors: James P. Ignizio
Categories: Social Science
Type: BOOK - Published: 1985-11-01 - Publisher: SAGE Publications, Incorporated

DOWNLOAD EBOOK

Goal programming is one of the most widely used methodologies in operations research and management science, and encompasses most classes of multiple objective
Goal Programming for Decision Analysis
Language: en
Pages: 424
Authors: Sang M. Lee
Categories: Business & Economics
Type: BOOK - Published: 1972 - Publisher: Auerbach Publications

DOWNLOAD EBOOK

Textbook on 'goal programming', presenting a management technique for computer-aided decision making - covers theoretical and methodologycal aspects, practical
Linear-Fractional Programming Theory, Methods, Applications and Software
Language: en
Pages: 442
Authors: E.B. Bajalinov
Categories: Mathematics
Type: BOOK - Published: 2013-12-01 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This is a book on Linear-Fractional Programming (here and in what follows we will refer to it as "LFP"). The field of LFP, largely developed by Hungarian mathem