Integrated Maintenance Strategies in a Hybrid Manufacturing-Remanufacturing Environment Under Operational Deterioration and Learning Effect

The present paper investigates the integration of production and operation-based maintenance planning within an imperfect manufacturing-remanufacturing framework. The considered system undergoes gradual deterioration and is affected by learning effects, impacting its reliability and product quality. To face this deterioration, we propose a maintenance strategy involving minimal corrective maintenance upon failure, imperfect preventive maintenance that brings the machine back to a condition between “As Bad As Old” and “As Good As New,” and overhaul when defect levels reach a specified threshold to restore the system to its original condition. We propose a mixed-integer nonlinear programming model to optimize integrated manufacturing, remanufacturing, and maintenance plan, intending to minimize all costs, including those associated with manufacturing, remanufacturing, holding, and maintenance. Computational experiments are conducted to discuss the managerial insights gained from the developed strategy.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/afros62115.2024.11037020
Primary Topic
Sustainable Supply Chain Management
Type
article
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article

Integrated Maintenance Strategies in a Hybrid Manufacturing-Remanufacturing Environment Under Operational Deterioration and Learning Effect

Mohammed Haoues, Mohammed Merghem, Mohammed Dahane, Ahmed Senoussi et al.
Sustainable Supply Chain Management
article

Integrated Maintenance Strategies in a Hybrid Manufacturing-Remanufacturing Environment Under Operational Deterioration and Learning Effect

Mohammed Haoues, Mohammed Merghem, Mohammed Dahane, Ahmed Senoussi, Kinza Nadia Mouss
article en

Abstract

The present paper investigates the integration of production and operation-based maintenance planning within an imperfect manufacturing-remanufacturing framework. The considered system undergoes gradual deterioration and is affected by learning effects, impacting its reliability and product quality. To face this deterioration, we propose a maintenance strategy involving minimal corrective maintenance upon failure, imperfect preventive maintenance that brings the machine back to a condition between “As Bad As Old” and “As Good As New,” and overhaul when defect levels reach a specified threshold to restore the system to its original condition. We propose a mixed-integer nonlinear programming model to optimize integrated manufacturing, remanufacturing, and maintenance plan, intending to minimize all costs, including those associated with manufacturing, remanufacturing, holding, and maintenance. Computational experiments are conducted to discuss the managerial insights gained from the developed strategy.

University of Batna 1 (DZ), University of Batna 2
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Sustainable Supply Chain Management
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