Interactive Multiple Criteria Optimization for Capital Budgeting in a Canadian Telecommunications Company

Decision Support System for Optimal Resource Allocation (DSS ORA) is an interactive mathematical programming system for optimal resource allocation developed to support decisions of investment in capital intensive telecommunications projects. The system strives to maximize corporate goals while respecting financial constraints such as the availability of capital funds, institutional requirements and varied dependencies or synergies among projects. The Analytical Hierarchy Process (AHP) is used for quantification of qualitative managerial judgment in regard to the relative value of projects through a two stage process. An initial resource allocation is found by a linear program, the objective coefficients of which are determined by the AHP. Then, a modified simplex algorithm proposes some rates of funding substitution. Users choose the amount of substitution or can override the substitutions proposed. Thus, users can build gradual confidence in the constraint checking mechanism of DSS ORA and come to rely on its efficiency-seeking capabilities. DSS ORA has been tested by several groups of managers responsible for the management and the implementation of project portfolios with significantly consistent results. The flexibility, user friendliness and quick time response of DSS ORA make it an effective negotiation tool in a group setting.

[1]  Joel Dean,et al.  Capital Budgeting: Top Management Policy on Plant, Equipment, and Product Development , 1951 .

[2]  A. Charnes,et al.  APPLICATION OF LINEAR PROGRAMMING TO FINANCIAL BUDGETING AND THE COSTING OF FUNDS , 1959 .

[3]  Arthur M. Geoffrion,et al.  An Interactive Approach for Multi-Criterion Optimization, with an Application to the Operation of an Academic Department , 1972 .

[4]  S. Zionts,et al.  An Interactive Programming Method for Solving the Multiple Criteria Problem , 1976 .

[5]  Michael Bromwich,et al.  The economics of capital budgeting , 1976 .

[6]  Giora Harpaz,et al.  Capital Budgeting Techniques , 1977 .

[7]  노창환.  [경영학] Capital Budgeting을 논함 , 1979 .

[8]  Capital Budgeting Under Conditions of Uncertainty , 1980 .

[9]  Nesa L'abbe Wu,et al.  Linear programming and extensions , 1981 .

[10]  Jaap Spronk,et al.  Interactive Multiple Goal Programming as an Aid for Capital Budgeting and Financial Planning with Multiple Goals , 1981 .

[11]  R. Deckro,et al.  Preference Trade-Offs In Capital Budgeting Decisions , 1985 .

[12]  Implementing capital budgeting techniques , 1988 .

[13]  Raimo P. Hämäläinen,et al.  A modelling and decision aid for supporting telecommunications investments , 1989, Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics.

[14]  Interactive multiple criteria optimization for capital budgeting. , 1992 .

[15]  Paul A. Katz,et al.  Improving the Utility of the Bellcore Consortium , 1993 .

[16]  Capital budgeting decision-making: Database, aggregation and disaggregation methods for a large scale problem. , 1994 .