Abstract
Selective maintenance problem plays an essential role in reliability optimization decision-making problems. Systems are a configuration of several components, and there are situations the system needs small intervals or break for maintenance actions, during the intervals expert carried out the maintenance actions to replace or repair the deteriorated components of the systems. Because of the uncertainty associated with the component’s operational time, failure, and next mission duration create a new challenge in determining optimal components allocation and evaluating future missions successfully. In this paper, a multi-objective selective maintenance allocation problem is formulated with fuzzy parameters under neutrosophic environment. A new defuzzification technique is introduced based on beta distribution to convert fuzzy parameters into crisp values. The neutrosophic goal programming technique is used to determine the compromise allocation of replaceable and repairable components based on the system reliability optimization. A numerical illustration is used to validate the model and ascertain its effectiveness. The result is compared with two other approaches and found to be better. The method is flexible and straightforward and can be solved using any available commercial packages. The extension of the concept can be useful to other complex system reliability optimization.
Highlights
Reliability is the probability that an object will continuously perform a specified task or mission satisfactorily under a certain condition, for at least a given time or interval.the probability of a successful performance of a system as designed is termed system reliability
We have considered three types of techniques, viz., neutrosophic goal programming approach, fuzzy programming, and intuitionistic fuzzy programming
We have proposed a model under a nondeterministic environment
Summary
Complex & Intelligent Systems (2021) 7:1045–1059 if and only if it has just finished a task and ready for the This means that, no component or subsystem can be selected for maintenance during the operation, some components are repairable and replaceable while others are not. The purpose of this article is to bring to the fore, a new approach of multi-objective system reliability optimization for selective maintenance allocation problem under neutrosophic environment. Neutrosophic goal programming technique is used to obtain the compromise allocation of replaceable and repairable components of the subsystem. The proposed methodology is very comfortable; goals can be and quickly achievable and useful in solving any multiple objective decision-making optimization problem under crisp and uncertain environment. In “Numerical illustration” section, a numerical example is considered to illustrate the effectiveness of the proposed model under neutrosophic environment.
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