ESTABLISHING OPTIMAL MAINTENANCE PRACTICES IN A TRADITIONAL MANUFACTURING ENVIRONMENT
Kevin D. Creehan
Abstract
Kevin D. Creehan
Abstract
All machinery and equipment in a manufacturing environment are subject to routine preventive inspection and maintenance procedures that disable the item for a short time. The purpose of these periodic procedures is to perform necessary routine maintenance to ensure that more catastrophic, long-term breakdowns are avoided. These routine procedures are typically performed based on a predetermined schedule that has been derived by hindsight and anecdotal evidence. This paper presents a methodology for maintenance decision-making. It provides the framework and decision-support system for determining the proper maintenance paradigm to be used on any machine, from a reactive system that repairs equipment only when they break, to a preventive maintenance system based on a static schedule, to an intelligent predictive system.
OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
All machinery and equipment in a manufacturing environment are subject to routine preventive inspection and maintenance procedures that disable the item for a short time. The purpose of these periodic procedures is to perform necessary routine maintenance to ensure that more catastrophic, long-term breakdowns are avoided. These routine procedures are typically performed based on a predetermined schedule that has been derived by hindsight and anecdotal evidence. This paper presents a methodology for maintenance decision-making. It provides the framework and decision-support system for determining the proper maintenance paradigm to be used on any machine, from a reactive system that repairs equipment only when they break, to a preventive maintenance system based on a static schedule, to an intelligent predictive system.
Key concepts: Preventive maintenance, Predictive maintenance, Hindsight bias, Schedule, Proactive maintenance, Planned maintenance, Engineering, Reliability engineering