نشریه بین المللی مهندسی صنایع و تحقیقات تولید
دانشگاه علم و صنعت ایران
سه شنبه 15 مهر 1404
[Archive]
چکیده: (153 مشاهده)
This article introduces a novel method for solving problems in Systematic Preventive Maintenance (SPM) by combining the Lean approach with the Algorithm for Inventive Problem Solving (ARIZ). The proposed model first uses Lean to define SPM objectives and constraints, then applies ARIZ to resolve identified contradictions. To ensure an optimal compromise between reliability and availability, a tool based on design of experiment was designed to select the most relevant actors at each stage of the preventive maintenance intervention. The applicability of this method is validated through a case study focused on a crucial piece of mining equipment: the bucket-wheel excavator. This study validates a robust model that explains 86.47% of the variability in reliability and 74.33% of the variability in availability. The analysis revealed that Maintenance Level 1 most significantly affects availability, while Maintenance Level 3 has the greatest impact on reliability. Model optimization predicted maximum values of 5.3125 for reliability and 3.3750 for availability. A sensitivity analysis further confirmed the robustness of this optimal solution, demonstrating that our approach provides concrete solutions beyond the limitations of traditional optimization methods.
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