CONCEPTUAL MODEL AND ALGORITHM FOR DESIGNING A MANAGEMENT SYSTEM FOR THE SUSTAINABLE FUNCTIONING OF A SUPPLY CHAIN

Abstract

The study aims to develop a conceptual model and an iterative algorithm for designing a management system that ensures the sustainable functioning of a supply chain. Traditional network design, focused on facility location, supplier selection, capacity allocation, and logistics cost minimization, does not verify the dynamic quality of management loops. The proposed multilayer model integrates physical, process-network, information-observation, coordination, dynamic-analytical, optimization, and digital contours. Dynamic stability, controllability, and observability are treated as design properties of an inter-organizational system, and operational, economic, environmental, and social indicators form interconnected selection criteria. An eight-stage algorithm is developed, comprising boundary and goal setting, AS-IS diagnostics, state-space modeling, property analysis, structural-parametric synthesis, robust and scenario verification, digital twin-observer creation, piloting, implementation, and continuous revalidation. The scientific contribution consists in integrating organizational and economic design with dynamic systems analysis. The practical value lies in rejecting unstable configurations before full-scale organizational and digital implementation, identifying missing decision rights and data, and defining admissible ranges of control parameters.