MBOBSO

MBOBSO, or Model-Based Optimization for Business and Operational Systems, is a theoretical framework in operations research and systems engineering that integrates model-based optimization with business process management to guide decision-making in complex, multi-stakeholder settings.

It aims to unify data collection, modelling, optimization, and execution within a modular structure to support transparent, auditable decisions.

Conceptually, MBOBSO defines three layers: a data and modelling layer, an optimization layer, and an execution layer, with standard interfaces and governance to ensure interoperability.

The framework supports various techniques, including mixed-integer programming, stochastic and robust optimization, decomposition methods, and, when appropriate, reinforcement learning for adaptive decisions.

Typical applications include supply chain design, production planning, energy distribution, urban logistics, and service operations, especially where several organizations or departments must coordinate goals.

Benefits include a unified decision-support structure, improved traceability, and better alignment of operational and strategic objectives; challenges include data quality requirements, computational complexity, model validation, and organizational change management.

See also: operations research, optimization, business process management, digital twin, multi-objective optimization.