A Multi-Attribute Assignment Goal-Programming Model with Incentives

A multi-attribute assignment goal-programming model is developed in this paper for the selection and assignment of transfer personnel. Attributes and incentives are used to select the correct type of people from surplus personnel and assign them to vacant positions. The model is illustrated in a simple, exemplary case problem, and the results are interpreted. The model is solved by using a sequential linear goal-programming algorithm and a mixed-integer programming subroutine.