TY - JOUR AB - Purpose– The purpose of this paper is to determine and evaluate resource allocation algorithms for mixed‐structure operation systems with unknown parameters characterized by experts using the formalism of C‐uncertain variables.Design/methodology/approach– Aggregation and decomposition of mathematical models of operations, performed using analytical‐numerical optimization methods, lead to serial and parallel structures for which allocation algorithms are known. Evaluation of allocations carried out by means of a computer simulation.Findings– Resource allocation problems for mixed‐structure operation systems may be solved by applying aggregation, decomposition and allocation algorithms determined for simple structures. Allocation algorithms based on C‐uncertain variables outperform these based on basic uncertain variables.Research limitations/implications– Application of the presented algorithms is limited to some mixed structures, however, the methodology used appears general enough to allow developing algorithms for other mixed structures.Practical implications– The algorithms developed may be embedded into a knowledge‐based system supporting management‐level decisions concerning optimal distribution of limited financial resources.Originality/value– Originally determined rules for aggregation and decomposition, as well as resulting allocation algorithms. The presented methodology seems promising for developing a general resource allocation algorithm – valid for any mixed structure of an operation system. VL - 38 IS - 7/8 SN - 0368-492X DO - 10.1108/03684920910976961 UR - https://doi.org/10.1108/03684920910976961 AU - Orski Donat ED - Jerzy Józefczyk PY - 2009 Y1 - 2009/01/01 TI - Application of C‐uncertain variables and systemic approach to resource distribution in a class of operation systems T2 - Kybernetes PB - Emerald Group Publishing Limited SP - 1265 EP - 1281 Y2 - 2024/03/28 ER -