Improving Overall Equipment Effectiveness by Enabling Autonomous Maintenance Pillar for Integrated Work Systems

Aneesh A Chand; Kushal A Prasad; Krishneel R Sharma; Sumesh Narayan; Kabir A Mamun; F R Islam; Nallapaneni Manoj Kumar; Shauhrat S Chopra

doi:10.1115/IMECE2021-66623

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Improving Overall Equipment Effectiveness by Enabling Autonomous Maintenance Pillar for Integrated Work Systems

Conference paper

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Improving Overall Equipment Effectiveness by Enabling Autonomous Maintenance Pillar for Integrated Work Systems

Aneesh A Chand, Kushal A Prasad, Krishneel R Sharma, Sumesh Narayan, Kabir A Mamun, F R Islam, Nallapaneni Manoj Kumar and Shauhrat S Chopra

Proceedings of the ASME 2021 International Mechanical Engineering Congress and Exposition, pp.1-8

ASME International Mechanical Engineering Congress and Exposition, 2021 (Online, 01-Nov-2021 - 05-Nov-2021)

American Society of Mechanical Engineers

2021

DOI: https://doi.org/10.1115/IMECE2021-66623

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Abstract

integrated work system (IWS)

overall equipment effectiveness (OEE)

autonomous management (AM)

total productive maintenance (TPM)

Integrated Work System (IWS) and Overall Equipment Effectiveness (OEE) are two popular approaches used by production firms to identify and eliminate production losses. In a highly competitive business environment, companies must increase their efficiency in the manufacturing process to support resilient business continuity. While OEE is widely used as a quantitative tool for measuring the performance of total productive maintenance (TPM), the IWS approach integrates equipment, processes, and involvement of people into a unified approach to reduce costs, improve quality, and increase productivity. Principally, there is an alignment between the two concepts. The IWS has the potential to maximize OEE to eliminate equipment failure and defects, minimizing downtime and maximizing productivity with less time, effort, and waste. The purpose of this work is to compare the performance of the OEE with the implementation of the IWS pillar, i.e., autonomous maintenance (AM). The rollout of the AM pillar was carried out on the two identical packaging machines (HLP1) with a speed of 120 packets per minute. The data which is shown in this paper is for both machines during the operational hours. Finally, the analysis showed positive results for both machines within a five-month period, with an increase of 27% and 15% in OEE, respectively. Later in the discussion, the root cause and SWOT analysis were perused for OEE and TPM, respectively, in this paper.

Details

Title: Improving Overall Equipment Effectiveness by Enabling Autonomous Maintenance Pillar for Integrated Work Systems
Authors: Aneesh A Chand (Author) - University of the South Pacific
Kushal A Prasad (Author) - University of the South Pacific
Krishneel R Sharma (Author) - University of the South Pacific
Sumesh Narayan (Author) - University of the South Pacific
Kabir A Mamun (Author) - University of the South Pacific
F R Islam (Author) - University of the Sunshine Coast, Queensland, School of Science and Engineering - Legacy
Nallapaneni Manoj Kumar (Author) - City University of Hong Kong
Shauhrat S Chopra (Author) - City University of Hong Kong
Publication details: Proceedings of the ASME 2021 International Mechanical Engineering Congress and Exposition, pp.1-8
Conference details: ASME International Mechanical Engineering Congress and Exposition, 2021 (Online, 01-Nov-2021 - 05-Nov-2021)
Publisher: American Society of Mechanical Engineers
DOI: 10.1115/IMECE2021-66623
Organisation Unit: School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99617108902621
Output Type: Conference paper

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