Unreliability of equipment and machinery

Nature

Reliability in equipment depends upon the quality of the initial research, its design, the quality of the materials used, the quality of the parts used in its construction, the external influences upon its operation, and the frequency and quality of maintenance. The continuing increase in the complexity of mechanical and electromechanical systems increases the probability of equipment failure.

Background

The unreliability of equipment and machinery emerged as a global concern during the Industrial Revolution, when frequent breakdowns disrupted production and safety. As industries expanded worldwide, high-profile failures—such as power plant outages and transportation accidents—highlighted the economic and human costs of unreliable systems. In the late 20th century, the proliferation of complex, interconnected machinery further underscored the problem, prompting international efforts to standardize maintenance and reliability engineering practices across sectors.

Incidence

Unreliability of equipment and machinery poses significant challenges across multiple sectors worldwide, including manufacturing, healthcare, transportation, and energy. Frequent breakdowns, malfunctions, and unexpected downtimes result in substantial economic losses, compromised safety, and reduced productivity. The global scale of this issue is underscored by recurring reports of industrial accidents, supply chain disruptions, and critical service interruptions, affecting both developed and developing nations.
In 2023, a major power outage in Pakistan was attributed to the failure of aging grid equipment, leaving over 220 million people without electricity for several hours. This incident highlighted the widespread consequences of unreliable infrastructure.

Claim

Quality control is uneven among the industrialized nations with some countries lagging well behind. In addition, there is an inadequate use of both the automatic, computerized safety features in installations, and the systems reliability measurements of machinery or equipment configurations.

The reliability of machinery is inversely proportional to the number and significance of any persons watching it.

Counter-claim

Equipment and machinery are more reliable than their human operators. Industrial accident figures indicate this. The continuing increase in the complexity of industrial systems increases the probability of human failure.