System Reliability as an Investment in the Future: Reliability Strategies for Industry and Public Facilities

System Reliability as an Investment in the Future: Reliability Strategies for Industry and Public Facilities

Imagine you’re rushing to get into an elevator to attend a meeting on the 20th floor. Fortunately, the elevator runs smoothly and without any interruptions, allowing you to reach the meeting room on time. This is the essence of elevator reliability. Reliability is the probability that a system or component will continue to operate as intended, without failure, over a specified period of time and under specified operating conditions (Elsayed, 2021). Reliability is not simply a matter of a device being able to turn on, but rather the probability that the device will consistently perform when used as intended.

To measure the reliability of a component or system, several key parameters can be used. The most frequently used parameters are Mean Time Between Failures (MTBF), which calculates the average operational time between one failure and the next, and Failure Rate, or the rate of failures over a given period. On the other hand, there is also Availability, which measures the extent to which the system is ready to use when needed (Jardine and Tsang, 2013). Understanding these parameters is crucial so that building managers don’t just predict when their elevators will break down, but also have accurate data for maintenance planning.

When analyzing the reliability of a system, you can break it down into its simpler components. For example, in an elevator system, every component, such as the traction motor, steel cable, and door sensor, must work in synchrony to ensure the elevator’s functionality meets predetermined performance standards (Park and Yang, 2010). If one of the elevator components experiences a malfunction, a reliable control system will detect it before a total failure occurs, endangering passengers. The same principle applies to production machinery in a factory, where the reliability of each small component determines whether the entire system can continue operating or is at risk of sudden failure.

Why should we care about reliability? A reliable system automatically improves operational efficiency because it can prevent sudden interruptions or downtime, which can be more expensive to repair than maintenance costs (Morel, Pétin, and Johnson, 2009). More importantly, reliability is closely linked to occupational safety. A system’s safety mechanisms with high reliability will prevent fatal accidents. By minimizing the chance of failure, we not only save operational costs but also provide a sense of security and comfort.

Thus, reliability is one of the main foundations for maintaining industrial sustainability in this competitive era. Reliability is no longer merely an option, but rather the standard for maintaining public trust and long-term business stability. By properly understanding and managing reliability, industries and government-managed facilities can continue moving forward without worrying about being halted by unexpected failures. A reliable system is the best investment for a more productive and safe future.

Author: Muhammad Haikal Fikri Al Azhari

Editor: Brian Arga Prasidio Putra

Bibliography:

Elsayed, E.A. (2021). Reliability engineering. 3rd edition. Hoboken, NJ: Wiley.
Jardine, A.K.S. and Tsang, A.H.C. (2013). Maintenance, replacement, and reliability: theory and applications. 2nd edition. Boca Raton, FL: CRC Press.
Morel, G., Pétin, J.F. and Johnson, T.L. (2009). ‘Reliability, maintainability, and safety’, in Nof, S.Y. (ed.) Springer handbook of automation. Berlin: Springer-Verlag, pp. 735–747.
Park, S.T. and Yang, B.S. (2010). ‘An implementation of risk-based inspection for elevator maintenance’, Journal of Mechanical Science and Technology, 24(12), pp. 2367–2376.

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