Allocation Problem of Repairable and Replaceable Components for a System Reliability using Selective Maintenance: An Integer Solution

نویسندگان

  • Mohammed Faisal Khan
  • Irfan Ali
چکیده

In many industrial environments, systems are required to perform a sequence of operations (or missions) with finite breaks between each operation. During these breaks, it may be advantageous to perform repair and replace on some of the system’s components. However, it may not be possible to perform all desirable maintenance activities prior to the beginning of the next mission due to limitations on maintenance resources. In this paper we have used the selective maintenance policy for determining the optimum number of repairable and replaceable components to maximize the system’s reliability within limited maintenance time and cost. Also we find the optimal maintenance cost and optimal maintenance time for predetermined reliability requirement of the system. A numerical example is presented to illustrate the computational procedure.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Allocation of Repairable and Replaceable Components for a System Availability Using Selective Maintenance with Probabilistic Maintenance Time Constraints

In this paper, we obtain optimum allocation of replaceable and repairable components in a system design. When repair and replace time are considered as random in the constraints. We convert probabilistic constraint into an equivalent deterministic constraint by using chance constrained programming. We have used the selective maintenance policy to determine how many components to be replaced & r...

متن کامل

Solving Redundancy Allocation Problem with Repairable Components Using Genetic Algorithm and Simulation Method

Reliability optimization problem has a wide application in engineering area. One of the most important problems in reliability is redundancy allocation problem (RAP). In this research, we worked on a RAP with repairable components and k-out-of-n sub-systems structure. The objective function was to maximize system reliability under cost and weight constraints. The aim was determining optimal com...

متن کامل

A Hybrid Fire Fly and Differential Evolution Algorithm for Optimization of a Mixed Repairable and Non-Repairable System Reliability Problem

In this paper, a hybrid meta-heuristic approach is proposed to optimize the mathematical model of a system with mixed repairable and non-repairable components. In this system, repairable and non-repairable components are connected in series. Redundant components and preventive maintenance strategies are applied for non-repairable and repairable components, respectively. The problem is formulate...

متن کامل

Developing a bi-objective optimization model for solving the availability allocation problem in repairable series–parallel systems by NSGA II

Bi-objective optimization of the availability allocation problem in a series–parallel system with repairable components is aimed in this paper. The two objectives of the problem are the availability of the system and the total cost of the system. Regarding the previous studies in series–parallel systems, the main contribution of this study is to expand the redundancy allocation problems to syst...

متن کامل

Redundancy allocation problem for k-out-of-n systems with a choice of redundancy strategies

To increase the reliability of a specific system, using redundant components is a common method which is called redundancy allocation problem (RAP). Some of the RAP studies have focused on k-out-of-n systems. However, all of these studies assumed predetermined active or standby strategies for each subsystem. In this paper, for the first time, we propose a k-out-of-<em...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012