Multicriteria Aspect of Optimal Choice Model in the Adaptive Resource Management Problem of a Manufacturing Company

An approach to selecting a resource allocation option in economic systems based on a single criterion does not align with the objective reality of management. In this regard, the emphasis on multi-criteria choice, which is most relevant for a manufacturing company, requires no justification as it is more attractive in terms of reflecting the objective scenario of resource management. The aim of this study is to develop an abstract formalized model and methodological support for the theoretical-methodological apparatus that incorporates several choice criteria: flexibility in scheduling operations (operational flexibility), stability, and economic efficiency. These aspects of activity should not be viewed as static entities but rather with consideration of dynamics arising from the organization’s functioning in a competitive environment, changing principles of fiscal regulation, and the influence of natural factors. The methodological basis of the research includes multi-criteria choice theory, operations research, and adaptive control theory (Lotov and Pospelova, 2008). The paper proposes a model intended for use within a rolling planning horizon; the model incorporates a mechanism for dynamic calibration of weight coefficients based on Bayesian updating and an algorithm for constructing the Pareto front. Approaches are proposed for assessing key performance indicators related to resource allocation, delays in operational decision-making, and the enterprise’s ability to respond to unplanned disturbances. The work may be useful in the context of developing the theory of adaptive control in economic systems; the proposed provisions can serve as arguments for designing tools for intelligent decision support systems in manufacturing companies.