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The IUP Journal of Systems Management
Goal Programming and Its Applications in Management Science
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The underlying philosophy of goal programming deals with multiobjective scenario which occurs in day-to-day life. As management is a field which is closely related to everyday life, it faces the similar problem of optimization of multiple objectives. Hence, in this field, there are several applications of goal programming. This paper touches upon the fundamentals of goal programming, and its main objective is to find out its applications in different management fields, such as accounting, marketing, finance, operations, etc.

 
 

Goal programming can be considered as a branch of multi-objective optimization which itself is a part of multi-criteria decision analysis, also known as multiple-criteria decision making. Goal programming is an example of an optimization program. This can also be considered as a generalization or extension of linear programming, in which more than one and in general conflicting objectives are to be optimized. For each of the objectives, a target value or goal would be given, which is needed to be achieved. This target may be a certain amount of profit, cost, sales or utilization of machine capacity. The problem is to select the best way among different alternatives available to the decision maker. For this reason, the objectives are needed to be prioritized. Finally, the undesired deviations from the given set of targets are minimized by using an achievement function. Depending on the goal programming variant used this achievement function can either be a vector or a weighted sum. As the fulfillment of the goal is deemed to gratify the decision maker, an underlying satisficing (a portmanteau of `satisfy' and `suffice' coined by Herbert Simon, 1957) philosophy is assumed. A sample model for goal programming is discussed here (originally given by Lin, 1979).

Here, Ps (s = 1, 2, , z) is the preemptive priority factor which follows the relationship that Ps >>> Ps + 1, i.e., the multiplication of any number, however, large it may be, cannot make the latter greater than or equal to the former. Lower order goal is considered only after the higher order goal is satisfied.

Charnes, Cooper and Ferguson first introduced goal programming in 1955, although the actual name `goal programming' emerged first in 1961 in a book called "Management Models and Industrial Applications of Linear Programming" by Charnes and Cooper. The theory then improved in the capable hands of Lee, Ignizio, Cavalier, and Romero. The bibliography of a large number of articles related to goal programming was given by Schniederjans (for articles published before 1995) and Jones and Tamiz (for articles published within the period of 1990-2000).

The first application of goal programming to the mankind was done by Ignizio in 1962, when he applied the concept to the designing and placement of the antennas employed on the second stage of the Saturn V, which was later used to launch the space capsule named Apollo which landed the Neil Armstrong on the moon. The vast application of goal programming also includes fields as diverse as ballistic missile defense technology, power-supply, protein-synthesis, etc. In this paper, however, the discussion is on the application of goal programming on various fields of management.

 
 

Systems Management Journal, Goal Programming, Linear Programming, Industrial Applications, Management Models, Decision Making Problems, Working Capital Management, Decision Making Process, System Operational Effectiveness, Goal Programming Model, Human Resource Management, Marketing Management.