An investigation of heuristic decision rules for allocating limited resources in stochastic activity networks

The effort of this thesis has been directed toward the examination of decision rules concerning resource allocation in stochastic activity networks whose resources are constrained. Specifically, the objective was to determine if any one decision rule serves as an effective one for producing consistently low completion times in any network