Quality insight: exponential decay of quality learning curves during COVID-19 lockdown
by Adedeji Badiru
International Journal of Quality Engineering and Technology (IJQET), Vol. 8, No. 1, 2020

Abstract: This paper is presented as a quality-insight column designed to spark new research interest in computational views of how rapidly a learning curve declines during a period of prolonged interruption. Specifically, the paper considers the case of the worldwide COVID-19 lockdown that afflicted business, industry, academia, and government. As a result of being barred from practicing their respective functions, workers are prevented from the normal positive effects of being on a learning curve. Instead of performance improvement due to learning curves, there is performance degradation due to the lockdown. Although not enough live data is available yet for a direct modelling, the paper presents a postulated analytical framework that researchers can use later on for empirical modelling of the adverse impacts of the lockdown on learning curves. A decline in learning can translate to a decline in quality of work and quality of products. Mathematical methods suggested in the paper include exponential decay, hyperbolic decline, and half-life learning curves.

Online publication date: Wed, 14-Oct-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Quality Engineering and Technology (IJQET):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com