Preprint Article Version 1 This version is not peer-reviewed

Implementation of the AMORMS Diagnostic Tool (Asset Management Operational Reliability and Maintenance Survey) in Recycled Beverage Container Manufacturing Lines

Version 1 : Received: 25 October 2024 / Approved: 27 October 2024 / Online: 28 October 2024 (12:06:42 CET)

How to cite: Parra, C.; Morán, C.; Pizarro, F.; Duque, P.; Aránguiz, A.; González-Prida, V.; Parra, J. Implementation of the AMORMS Diagnostic Tool (Asset Management Operational Reliability and Maintenance Survey) in Recycled Beverage Container Manufacturing Lines. Preprints 2024, 2024102123. https://doi.org/10.20944/preprints202410.2123.v1 Parra, C.; Morán, C.; Pizarro, F.; Duque, P.; Aránguiz, A.; González-Prida, V.; Parra, J. Implementation of the AMORMS Diagnostic Tool (Asset Management Operational Reliability and Maintenance Survey) in Recycled Beverage Container Manufacturing Lines. Preprints 2024, 2024102123. https://doi.org/10.20944/preprints202410.2123.v1

Abstract

The effectiveness of a comprehensive maintenance and reliability management process can be assessed through an in-depth analysis of various factors that, collectively, represent the maintenance contribution to the operational and production processes of an industrial asset. There are no simple formulas for designing an integrated maintenance and reliability model within an asset management framework (in accordance with the ISO 55001 standard), nor are there fixed or universal rules that apply equally to all production assets over time. In light of this, the primary goal of this article is to provide an overview of the implementation project of the AMORMS (Asset Management, Operational Reliability Survey), based on the Mainte-nance Management Model (MMM) developed by INGEMAN, at the SINEA PERÚ plant, a leading company in Latin America specializing in the industrial production of recycled plastic containers for commercial beverages (PET preforms - Polyethylene Terephthalate). Lastly, the article outlines the recommendations and high-impact action plans that will support SINEA PERÚ in strengthening the efficiency of its maintenance and reliability management process-es, while effectively optimizing the value of its industrial assets throughout their life cycle.

Keywords

Asset management; Data integration; Criticality Analysis (CA); Root Cause Analysis (RCA); Reliability Centered Maintenance (RCM); Life Cycle Cost Analysis (LCCA); Continuous improvement; Maintenance 4.0

Subject

Engineering, Industrial and Manufacturing Engineering

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