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. 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. 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.