Quantifying the Impact of Inspection Processes on Production Lines through Stochastic Discrete-Event Simulation Modeling

Martinez Rodriguez, Pablo and Ahmad, Rafiq (2021) Quantifying the Impact of Inspection Processes on Production Lines through Stochastic Discrete-Event Simulation Modeling. Modelling, 2 (4). pp. 406-424. ISSN 2673-3951

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Official URL: https://doi.org/10.3390/modelling2040022


Inspection processes are becoming more and more popular beyond the manufacturing industry to ensure product quality. Implementing inspection systems in multistage production lines brings many benefits in productivity, quality, and customer satisfaction. However, quantifying the changes necessary to adapt the production to these systems is analytically complicated, and the tools available lack the flexibility to visualize all the inspection strategies available. This paper proposed a discrete-event simulation model that relies on probabilistic defect propagation to quantify the impact on productivity, quality, and material supply at the introduction of inspection processes in a multistage production line. The quantification follows lean manufacturing principles, providing from quite basic quantity and time elements to more comprehensive key performance indicators. The flexibility of discrete-event simulation allows for customized manufacturing and inspection topologies and variability in the tasks and inspection systems used. The model is validated in two common manufacturing scenarios, and the method to analyze the cost-effectiveness of implementing inspection processes is discussed.

Item Type: Article
Additional Information: Funding information: Research funded by Natural Sciences and Engineering Research Council of Canada (NSERC RGPIN-2017-04516 Ahmad & NSERC ALLRP 545537-19 Ahmad).
Uncontrolled Keywords: inspection systems, inspection modeling, quality control, manufacturing, Industry 4.0, discrete-event simulation
Subjects: H700 Production and Manufacturing Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: John Coen
Date Deposited: 10 Dec 2021 15:47
Last Modified: 10 Dec 2021 16:00
URI: http://nrl.northumbria.ac.uk/id/eprint/47961

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