Tactical Planning and Predictive Maintenance: Towards an Integrated Model Based on $\epsilon$-reliability - Artificial Intelligence for Sustainable and Resilient Production Systems PART IV, IFIP WG 5.7 International Conference, APMS 2021 Access content directly
Conference Papers Year : 2021

Tactical Planning and Predictive Maintenance: Towards an Integrated Model Based on $\epsilon$-reliability

Abstract

Elaborating some Master Scheduling Programs to maximize the customer product demands in respect to the different logistics costs and optimizing maintenance policies are classically addressed independently by two scientific communities whose interests may in some cases diverge. The objective of this paper is to build, based on recent contributions from the field of maintenance optimization, an integrated optimization approach for tactical production plans and maintenance decisions. This goal of integrating as much information as possible into more holistic approaches and more relevant decisions is clearly one of the challenges that can be found in the precepts of the “Industry of the Future”. In this paper, we propose, through a modeling of the effects of the degradation of the production system on its production efficiency, to show a benefit of the simultaneous consideration of both concerns. Feasibility criteria are also proposed to ensure the robustness of given tactical plans against the hazards of degradation and failure of the production system.
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hal-03337511 , version 1 (15-02-2023)

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David Lemoine, Bruno Castanier. Tactical Planning and Predictive Maintenance: Towards an Integrated Model Based on $\epsilon$-reliability. APMS2021: IFIP International Conference on Advances in Production Management Systems, Sep 2021, Nantes, France. pp.92-101, ⟨10.1007/978-3-030-85874-2_10⟩. ⟨hal-03337511⟩
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