Goal Programming: Methodology and Applications by Marc Schniederjans

By Marc Schniederjans

Goal Programming purposes in Accounting seventy four objective Programming purposes in Agriculture seventy six aim Programming functions in Economics seventy eight objective Programming functions in Engineering seventy nine aim Programming functions in Finance eighty objective Programming functions in govt eighty three target Programming functions in a global Context 88 aim Programming functions in administration ninety aim Programming functions in advertising ninety seven precis ninety eight bankruptcy five. destiny traits IN aim PROORAMMING one hundred and one GP is situated for development one hundred and one moving the existence Cycle of GP study to progress 103 precis 107 Reference 108 APPENDIX A TEXTBOOKS, READINGS BOOKS AND MONOORAPHS ON objective PROORAMMING 109 APPENDIX B. magazine examine guides ON objective PROORAMMING 113 INDEX 213 viii checklist OF FIGURES determine 1-1. precis dating of GP with MS/OR and MCDM determine 1-2. Frequency Distribution for GP magazine guides determine 1-3. lifestyles Cycle ofGP examine determine 2-1. Set of GP effective options determine 5-1. existence Cycle of GP learn ix checklist OF TABLES desk 1-1. MS/OR themes and Their comparable GP issues desk 1-2. MCDM Subareas and Their similar GP issues desk 1-3. Frequency directory ofGP magazine guides and e-book Titles desk 2-1. recommendations for a ruled GP challenge desk 2-2. Conversion ofLP Constraints to target Constraints desk 2-3. GP Citations on Dominance, Inferiority and Inefficiency desk 2-4. GP Citations on Relative Weighting, Prioritization and Incommensurability desk 2-5. MS/OR subject matters and Their comparable GP themes desk 3-1. Citations on WeightedlPreemptive GP method desk 3-2. Citations on Pure/Mixed Integer GP method desk 3-3.

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Green, P. E. , "Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice," Journal of Marketing, Vol. 4 (1990), pp. 3-19. Hillier, F. S. and Lieberman, G. , Introduction to Operations Research, 4th ed, Holden-Day, Oakland, CA, 1986. Ignizio, J. , Introduction to Expert Systems, McGraw-Hill, New York, NY, 1991. Ignizio, J. , Linear Programming in Single- and Multiple-Objective Systems, Prentice-Hall, Englewood Cliffs, NJ, 1982. Ijiri, Y, "An Application ofInput-Output Analysis to Some Problems in Cost Accounting," Management Accounting, Vol.

To make the relative weighting purposeful) Romero and Rehman (19843) suggest a scaling of the goal constraint parameters. This can be accomplished by dividing the technological coefficients and the right-hand-side values by each goal constraint's respective right-band-side value and multiplying the ratio by 100 to convert them into percentages of their objectives. 8). 8) is where Xl =0, x2=100, d2- = 100, PI =0, P2 =10 with the other deviation variables equaling zero. 9 on the deviation variables in the third constraint has been included in the solution.

Table 2-4 presents a listing of some citations that are repeatedly referenced in the literature. Table 2-4. GP Citations on Relative Weighting, Prioritization and Incommensurability Reference What Reference Provides Choo and Wesley (1985),Cook and Kress (1988), Gass (1986, 1987), Hotvedt, Leushner and Buhyoff (1982), Knoll and Engelberg (1978), Levary and Avery (1984), Norse and Clark (1975), Ng (1987), Phillips (1987), Steuer (1979) all provide weighting systems Romero (1985b), Schenkerman (1991), Sherali (1982), Sutchiffe, Board and Cheshire (1985) all provide comments on weighting systems 32 Chapter 2 Table 2-4.

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