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Article introduces the Theory of AI‑driven Scheduling (TAIS), a new framework that integrates the Theory of Constraints with advanced AI technologies to transform service‑oriented scheduling in dynamic, customer‑focused environments. Article expands the traditional TOC model with continuous monitoring, lifecycle governance, and security layers, enabling predictive, adaptive, and scalable scheduling solutions that address the complexity and rapid change inherent in modern service‑manufacturing operations.
Khakifirooz et al. (Wed,) studied this question.
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