JOURNAL ARTICLE

Integrated production, statistical process control, and maintenance policy for unreliable manufacturing systems

Nadia BahriaAnis ChelbiHanen BouchrihaImen Harbaoui Dridi

Year: 2018 Journal:   International Journal of Production Research Vol: 57 (8)Pages: 2548-2570   Publisher: Taylor & Francis

Abstract

The objective of this paper is to develop an integrated approach for the joint control of production, maintenance and quality for batch manufacturing systems. We consider such systems that are subject to degradation which is at the origin of the production of defective units. The quality control of lots produced is performed using an ‘x-bar’ control chart. This graphical tool will allow estimating the quality of the batch being produced and possibly undertake perfect preventive or corrective maintenance actions on the production system. A buffer stock is built to maintain continuity of supply during maintenance actions. The incurred total cost includes setup cost, inventory costs, the cost of unused products, maintenance costs and quality costs. Decision variables include the buffer stock size, the sample size, the sampling interval, the surveillance and the control limits of the control chart. Numerical experiments and sensitivity analyses are provided to evaluate the effectiveness of the proposed control policy and the robustness of the solving approach.

Keywords:
Control chart Reliability engineering Statistical process control Quality costs Buffer stock scheme Preventive maintenance Holding cost Safety stock Engineering Corrective maintenance Inventory control Batch production Control limits Computer science Operations research Operations management Process (computing) Supply chain Cost control Economics Business

Metrics

49
Cited By
4.38
FWCI (Field Weighted Citation Impact)
42
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Statistical Process Monitoring
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty
Reliability and Maintenance Optimization
Physical Sciences →  Engineering →  Safety, Risk, Reliability and Quality
Manufacturing Process and Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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