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The paper presents a procedure based on the shortest path problem (SPP) and on scenario planning. The goal of the method is to find the optimal (with respect to a chosen criterion) sequence of choices under uncertainty, i.e. when at least one parameter of the decision problem is not deterministic. In contrast to existing approaches concerning SPP with uncertainty, we assume that the probability of...
The resource allocation problem has been investigated in many contributions both for the deterministic (known parameters) and stochastic case (scenarios with known probability distribution). In this paper we propose a decision rule enabling one to find a proper solution under complete uncertainty, i.e. when possible scenarios are known, but the decision maker has no information (or does not intend...
Time-cost tradeoff analysis is a very important issue in project management. The Kaufmann–Desbazeille algorithm is considered by numerous authors to be an exact algorithm to solve this problem. In the paper, we prove that this claim is not true. In particular, we perform a worst-case analysis. The accuracy of the KDA is the worst when: the network has many critical and subcritical paths with a lot...
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