2018Unpublished venueRequires access

Real-time Control of Maintenance on Deteriorating Manufacturing System

Jing Huang, Qing Chang, Jing Zou, Jorge Arinez, Guoxian Xiao

Open publisher page 3 citations

Abstract

In modern manufacturing systems, maintenance operations are the key to improve machines' reliability and availability, and hence to improve system productivity and quality. Maintenance can be roughly categorized to Corrective Maintenance (CM) and Preventive Maintenance (PM). Since the production system is highly stochastic and maintenance actions could either be perfect or imperfect, it is a complex decision to make on when, where, and which type of maintenance action should be taken. In this paper, a maintenance control law is proposed to schedule cost-effective maintenance, either CM or PM, in a real-time fashion. The control cost consists of a resource cost, and the immediate and potential production losses due to the stoppage caused by the maintenance action. A data-driven model is used to evaluate the production losses. A case study is performed to demonstrate the effectiveness of the proposed control method by comparing three different maintenance policies.

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What this paper is about

In modern manufacturing systems, maintenance operations are the key to improve machines' reliability and availability, and hence to improve system productivity and quality. Maintenance can be roughly categorized to Corrective Maintenance (CM) and Preventive Maintenance (PM). Since the production system is highly stochastic and maintenance actions could either be perfect or imperfect, it is a complex decision to make on when, where, and which type of maintenance action should be taken. In this paper, a maintenance control law is proposed to schedule cost-effective maintenance, either CM or PM, in a real-time fashion. The control cost consists of a resource cost, and the immediate and potential production losses due to the stoppage caused by the maintenance action. A data-driven model is used to evaluate the production losses. A case study is performed to demonstrate the effectiveness of the proposed control method by comparing three different maintenance policies.

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Available abstract

In modern manufacturing systems, maintenance operations are the key to improve machines' reliability and availability, and hence to improve system productivity and quality. Maintenance can be roughly categorized to Corrective Maintenance (CM) and Preventive Maintenance (PM). Since the production system is highly stochastic and maintenance actions could either be perfect or imperfect, it is a complex decision to make on when, where, and which type of maintenance action should be taken. In this paper, a maintenance control law is proposed to schedule cost-effective maintenance, either CM or PM, in a real-time fashion. The control cost consists of a resource cost, and the immediate and potential production losses due to the stoppage caused by the maintenance action. A data-driven model is used to evaluate the production losses. A case study is performed to demonstrate the effectiveness of the proposed control method by comparing three different maintenance policies.

Key concepts: Maintenance actions, Preventive maintenance, Reliability engineering, Operational maintenance, Planned maintenance, Schedule, Reliability (semiconductor), Production (economics)

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