Using quality control in optimizing opportunistic maintenance

Dutoit, Clément; Dehombreux, Pierre; Rivière-Lorphèvre, Édouard

doi:10.1016/j.ifacol.2018.09.643

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…Quality information can often reflect the effectiveness of maintenance. 4 There has been research devoted to maintenance policies considering quality. Wang et al 5 considered that the total number of produced items influenced production defect rate.…”

Section: Interactions Between Maintenance and Important Factorsmentioning

confidence: 99%

“…Yin et al 15 proposed an integrated method to consider both maintenance and statistical process control. Zhang et al 16 considered a delayed-type maintenance policy, while Dutoit et al 4 proposed a policy where the quality information was one of the indicators used to initiate maintenance. Lopes 17 also performed joint optimization of quality control, buffer inventory and preventive maintenance.…”

Section: Interactions Between Maintenance and Important Factorsmentioning

confidence: 99%

“…The notation used in this paper are given as follows. [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] Ref. 62 Strategies also considered imperfect maintenance: Ben-Daya, 2 Liao et al, 10 Pandey et al, 11 Bouslah et al, 12 Shrivastava et al, 14 Lopes, 17 Wang et al 62 Strategies also considered imperfect maintenance: Yan et al, 33 Chien, 43 Ba et al 45 Maintenance strategies considering spare parts: Refs., Ref., 63 Ref.…”

Section: Notationmentioning

confidence: 99%

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Maintenance optimization of a production system considering defect prevention and spare parts ordering

Gan

Zhang

Lan

2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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An innovative maintenance policy is proposed in this paper. This policy can involve spare parts ordering, production quality, and buffer inventory for an efficient production system. In the system, certain batches are required to be produced, and when each batch is finished, a determination is made whether maintenance is needed. The machine state deteriorates with the number of completed batches, and it can be improved by performing maintenance. Two types of maintenance activity, replacement and imperfect maintenance, can be selectively chosen to minimize cost. The defect rate of each batch is related to the number of completed production batches. An innovative concept, defined as the “virtual number” of completed production batches, is used to establish a link between maintenance and defect rate. Monte Carlo simulation and enumerative search is then used to determine cost-effective spare parts ordering and maintenance policies to minimize the cost for the production cycle. Finally, numerical examples are presented to demonstrate the model and to conduct sensitivity analysis. We find that in situations with a high buffer inventory costs, spare parts should be ordered late. When increasing the buffer inventory cost, more replacements should be performed compared to imperfect maintenance. Also, the buffer inventory cost rate and replacement duration time effect the rate of defective products significantly. These two parameters should be kept small, and controlled, if a very low defect rate is needed.

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Section: Interactions Between Maintenance and Important Factorsmentioning

confidence: 99%