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The DLP decision support system and its extension to stochastic programming

A brief overview is given of a new decision support system for solving deterministic resource decision problems. It is based on a synthesis of techniques of dynamic programming and linear programming — hence the acronym D L P The main purpose of the article is to develop an extension that incorporates uncertainty of information in production and objective coefficients. The resulting model/algorithm — a new method for chance-constrained stochastic linear programming — unites techniques of stochastic dynamic programming with techniques of linear programming, and it can be implemented by building very directly on the D L Pdecision support system. A further extension is introduced more briefly. Its combination of chance constraints and recourse (simple or complete) constitutes a fundamental new approach to stochastic programming, one that is likely to be appropriate for many multiperiod, resource-planning problems under uncertainty The discussion is illustrated throughout using rangeland resource decision problems. A self-contained appendix provides a supplementary illustration for a highway pavement maintenance and rehabilitation problem