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Maturity Model for AI in Smart Production Planning and Control System

Eduardo Colangelo, Christian Fries, Theresa-Franziska Hinrichsen, Ádám Szaller, Gábor Nick

2022Procedia CIRP18 citationsDOIOpen Access PDF

Abstract

The utilization of Artificial Intelligence (AI) to improve processes constitutes a main subject for many enterprises. The area of Production Planning and Control (PPC) possesses several functions that could profit from such approaches. However, manufacturing companies find themselves often limited in the application of these approaches. This paper concentrates on three elements to assist enterprises: 1) the clarification of what AI is (in the manufacturing context) and its application to the field of PPC; 2) a review performed together with manufacturing enterprises in Germany and Hungary in order to understand the obstacles for the implementation of AI; and 3) the proposal of a maturity model to help enterprises understand where they are in regards to AI, as a way to help them create a roadmap to achieve their objectives.

Topics & Concepts

Maturity (psychological)Production planningManufacturing engineeringField (mathematics)Production (economics)Profit (economics)Capability Maturity ModelContext (archaeology)Control (management)EngineeringComputer scienceProcess managementArtificial intelligenceEconomicsPaleontologyPsychologyMacroeconomicsMathematicsDevelopmental psychologyProgramming languagePure mathematicsSoftwareMicroeconomicsBiologyDigital Transformation in IndustryFlexible and Reconfigurable Manufacturing SystemsManufacturing Process and Optimization
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