The purpose of safety designing is generally not on cost, but rather on saving life and nature, and consequently bargains just with specific risky system failure modes. High reliability levels are the consequence of good designing, scrupulousness and dependably never the aftereffect of re-dynamic failure management. Failure mode and effect analysis (FMEA) is a helpful technique analyzing engineering system reliability. The study focused on the use of FMEA technique to analyze the reliability of engineering equipment or components in selected areas such as: Wind Turbine component, Manufacturing Industries, Medical field and in evaluating the performances of Robots in different fields. The study showed the importance of FMEA as used widely in analyzing engineering equipment with regards to reliability.

A system`s reliability during the early stage of design is an important issue for consideration. For any engineering system to be of standard it must meet certain reliability goals. These reliability goals can be achieved by assigning reliability requirements of individuals' subsystem to obtain complete system reliability. These reliability allocation to be considered based on engineering factors appear more practical functional and crucial at the early stage of design and development of items. In this paper we shall be considering the factors of influence approach under the hybrid method. These factors of influence affecting system reliability are complexity/time, the environment, cost, state-of-the-art and criticality of failure. This method aims at exposing each factor of influence and how each affects the reliability of overall system if not properly taken into consideration at various industries.Copy Right, IJAR, 2018,. All rights reserved. …………………………………………………………………………………………………….... Introduction:-The reliability of any system is most crucial and cannot be over-emphasized as lives and property depends in the satisfactory functionality of any system over specified conditions and period of time.The value of reliability depends on the reliability on both the reliability of a component and its corresponding position in the system. Reliability allocation is a decisive step in product design and development in assigning requirements to individual subsystems. These requirements are obtainable and agreed upon by each design group at various level and location. For a system to be designed for a targeted reliability, a reliability goal must be set putting in consideration its system`s behaviour, failure effect and order of improvement (Yadav, 2014).Other importance for setting reliability goals are to map out improvement avenues on the basics of real potential or crucial information for the reliability improvement. The focus of reliability allocation is to allocate the target reliability to be equal to all the subsystem or components. (Ebeling, 2008).Reliability Allocation is a tactical task during system design and development process of any engineering system. Due to its delicate nature in application at the early stage of the design some factors have to put into check in order to obtain the specified target level of reliability desired. This brings about the implementation of adequate reliability allocation method where the target reliability allocation method where the target reliability system is carefully allocated its constituent subsystem appropriately. (Sriramdas, 2014). Kim et al (2013), proposed a method that

The concept of producing more output(s) with less input(s) has always been one of the goals of every manufacturing industry. However, continuous evaluation of production systems will ensure that production targets are not only being met but also to ensure that each decision-making unit produces at an optimal level compared to the laid down standard(s). This work evaluated the efficiency of the six most productive production lines in a brewery plant using one of the non-parametric efficiency measurement techniques in data envelopment analysis (DEA). The DEA model for each of the lines was formulated. The relative efficiencies of each of the lines were calculated and the most efficient was chosen as a benchmark. The slacks and surpluses in each production line relative to the benchmark were obtained. The model result revealed that two of the production lines as the most efficient, a reduction in manpower and an increment in product output in some of the lines are required to meet the production benchmark. It may be observed that not all seemingly effective production lines are effective when compared with others within the same system.

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The purpose of safety designing is generally not on cost, but rather on saving life and nature, and consequently bargains just with specific risky system failure modes. High reliability levels are the consequence of good designing, scrupulousness and dependably never the aftereffect of re-dynamic failure management. Failure mode and effect analysis (FMEA) is a helpful technique analyzing engineering system reliability. The study focused on the use of FMEA technique to analyze the reliability of engineering equipment or components in selected areas such as: Wind Turbine component, Manufacturing Industries, Medical field and in evaluating the performances of Robots in different fields. The study showed the importance of FMEA as used widely in analyzing engineering equipment with regards to reliability.