Quality increases as the error rate decreases

TL;DR

This paper discusses how reducing error rates in processes and software enhances quality, emphasizing error classification and techniques to minimize mistakes, especially relevant during pandemic-driven efficiency needs.

Contribution

It introduces a structured approach to decreasing errors through classification and targeted techniques, linking error reduction directly to quality improvement.

Findings

Lower error rates correlate with higher quality.

Error classification enables targeted error reduction.

Process improvements lead to increased efficiency.

Abstract

In this paper we propose an approach to the design of processes and software that aims at decreasing human and software errors, that so frequently happen, making affected people using and wasting a lot of time for the need of fixing the errors. We base our statements on the natural relationship between quality and error rate, increasing the latter as the error rate decreases. We try to classify errors into several types and address techniques to reduce the likelihood of making mistakes, depending on the type of error. We focus on this approach related to organization, management and software design that will allow to be more effective and efficient in this period where mankind has been affected by a severe pandemic and where we need to be more efficient and effective in all processes, aiming at an industrial renaissance which we know to be not too far and easily reachable once the path to follow has been characterized, also in the light of the experience.