Logistics support planning model in the conditions of limited resources

Introduction/purpose: The paper presents a model of logistics support planning in the conditions limited logistic resources based on prioritization customer requirements and resource allocation. Decisionmakers play crucial role efficient equitable allocation as they prioritize among different user requirements. Methods: Requirement techniques that use nominal scale, ordinal ratio five methods for converting ranks into weighting coefficients have been applied to determine degree significance Requirements triage method has used establishing relative priorities, while heuristic algorithm determining Kemeny median was consolidate individually ranked requests group rank. In order balance opposing demands users, consensus measures decision making were used. For obtaining an optimal planned solution support, applied. Results: A adaptive capacities system developed. Conclusion: proposed can be effectively other areas