A cost-based model for integrating maintenance strategies in autonomous production control

Robert Glawar, Fazel Ansari, Zsolt János Viharos, Kurt Matyas, Wilfried Sihn

Abstract

Autonomous production control (APC) is able to deal with challenges, inter alia, high delivery accuracy, shorter planning horizons, increasing product and process complexity, and frequent changes. However, several state-of-the-art approaches do not consider maintenance factors contributing to operational and tactical decisions in production planning and control. The incomprehensiveness of the decision models and related decision support tools cause inefficiency in production planning and thus lead to a low acceptance in the manufacturing enterprises. To overcome this challenge, this paper presents a conceptual model for integrating different maintenance strategies in autonomous production control. The model provides relevant decision aspects and a cost function for a market-based approach.

Keywords

Maintenance; Autonomous Production Control, Production Planning, Cyber Physical Systems, Industry 4.0

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IMEKO-TC10-2020-037.pdf

DOI

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IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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