| Article ID: | iaor20051722 |
| Country: | Netherlands |
| Volume: | 39 |
| Issue: | 2 |
| Start Page Number: | 165 |
| End Page Number: | 182 |
| Publication Date: | Jun 2005 |
| Journal: | Socio-Economic Planning Sciences |
| Authors: | Chan Yupo, DiSalvo Joseph P., Garrambone Michael W. |
| Keywords: | financial, programming: multiple criteria |
This paper articulates how a goal-seeking model addresses a variation of the capital-budgeting problem. Focused toward technology modernization in the public sector, this multi-criteria optimization model explicitly considers the diverse functions of the organization. In particular, the synergism amongst the functions is modeled as a multiplicative value function. The model is solved by the “constraint reduced feasible-region method”, resulting in a non-convex mathematical program that produces numerical intricacies. Linearization of the criterion (objective) functions reduces such intricacy. An Army-modernization acquisition-study was used to illustrate the proposed model, showing that its non-inferior solutions are remarkably stable. Comparison is also made with other approaches, typically formulated as goal-setting programs. The model highlights how technology acquisitions are affected as the priorities of each organizational function change.