By competition, it is suggested that every organization out there is always targeting to keep a certain score.

The progression towards a global economy has increased the base of competition for almost all companies. This has lowered down the image of the company in terms of competition when compared the benchmarks with other beverage companies in developing nations. This is seen by the high rate of unscheduled events associated with breakdowns, emergency equipment, long working hours and high maintenance costs. This approach is reported to be creating a high risk to workers, production and property. Ĭurrently, the plant uses run‐to‐failure maintenance as a strategy to take care of its machines. This has raised concern and hence the need to find new emerging maintenance management philosophies, such as improving maintenance cost effectiveness as one sure way of increasing the overall profitability.

At the processing company, process losses have traditionally been 1.5% of total losses but increased to 10% in 2011. Emphasis should be on ensuring that the correct maintenance is being done (doing the right job) rather than merely ensuring that maintenance is being done correctly (doing the job right). This results in maximum utilization of plant‐installed capacity through improved reliability, uptime, quality and asset life-all achieved at optimal levels of costs versus benefits. The ever‐increasing costs of new equipment and spares, perennial foreign currency shortages and the need for improved competitiveness bring about the need for more effective maintenance systems. Beverage industry is greatly affected with profitability problems. Salient features of the framework are also highlighted at the end of the paper.Beverage industry denotes the industry accountable for the manufacture of drinks through the usage of highly automated systems, which are responsible for the production of beverages within a short period of time. The strength of fuzzy set theory has been utilized to prevail over the limitation of subjectivity of requirements stage measures. Before presenting the framework, to realize its need and significance, the paper has presented the state-of-the-art on software reliability quantification. With this spirit, authors of the paper have proposed a highly structured framework that guides the process of quantifying software reliability, before the coding of the software start. Therefore, researchers are continuously making efforts to meet this challenge. As a result reliability has come up as a critical quality factor that cannot be compromised. Such a huge demand is compelling developers to develop more software to meet the user expectations. Today, the influence of information technology has been spreading exponentially, from high level research going on in top labs of the world to the home appliances.

Fuzzy logic software