Entropy-Based Fuzzy Reliability–Redundancy Allocation Model

2020 ◽  
pp. 175-204
Author(s):  
Sahidul Islam
Keyword(s):  
Fuzzy Reliability ◽  
Allocation Model ◽  
Redundancy Allocation

Physical programming and conjoint analysis-based redundancy allocation in multistate systems: A Taguchi embedded algorithm selection and control (TAS&C) approach

2009 ◽  
Vol 223 (3) ◽  
pp. 215-232 ◽  
Author(s):  
V V Kumar ◽  
M Tripathi ◽  
M K Pandey ◽  
M K Tiwari
Keyword(s):  
Conjoint Analysis ◽  
Optimal Allocation ◽  
Programming Approach ◽  
Primary Concern ◽  
Algorithm Selection ◽  
Allocation Model ◽  
Redundancy Allocation ◽  
Physical Programming ◽  
Proposed Model ◽  
And Control

Amidst increasing system complexity and technological advancements, the manufacturer aims to win the consumer's trust to maintain his or her permanent goodwill. This expectation directs the manufacturer to address the problem of attaining desired quality and reliability standards; hence, the measure of performance of a system in terms of reliability and utility optimization poses an issue of primary concern. In order to meet the requirement of a reliable and trouble-free product, optimal allocation of all conflicting parameters is essential during the design phase of a system. With this in mind, this paper presents a physical programming and conjoint analysis-based redundancy allocation model (PPCA-RAM) for a multistate series—parallel system. Use of physical programming approach is the key feature of the proposed algorithm to eliminate the need for multi-objective optimization. Physical programming methodology provides an adequate balance among various associated performance measures and thus provides an efficient tool for formulating the objective function of a practical redundancy allocation problem. The proposed model has been addressed by a novel methodology called Taguchi embedded algorithm selection and control (TAS&C). An illustrative example has been presented to authenticate the efficiency of the proposed model and algorithm. The results obtained are compared with the genetic algorithm (GA), artificial immune system (AIS), and particle swarm optimization (PSO), where TAS&C was seen to significantly outperform the rest.

Solving Interval Type-2 Fuzzy Reliability-Redundancy Allocation Systems With Efficient PSO Algorithm

2021 ◽  
pp. 135-165
Author(s):  
Zubair Ashraf ◽  
Md. Gulzarul Hasan ◽  
Mohd Shoaib Khan
Keyword(s):  
System Reliability ◽  
Pso Algorithm ◽  
Total System ◽  
Fuzzy Reliability ◽  
Swarm Optimization ◽  
Redundancy Allocation ◽  
Fuzzy Membership Functions ◽  
New Type ◽  
Interval Type

A new type-2 fuzzy reliability-redundancy allocation problem (IT2FRRAP) is introduced in this study, which maximizes system reliability underneath the type-2 fuzzy uncertainty. Throughout the design process, estimation of system parameters with type-2 fuzzy sets is very rational, as many experts may have varying views on the numerous risks involved with the multi-state framework. The authors consider fuzzy membership functions of interval type-2 to fuzzy set to reflect the reliability of the sub-system. By using the extension theory, they evaluate the total system reliability as per respective configurations (i.e., series, parallel, non-parallel, and bridge). They developed a novel solution method focused on particle swarm optimization to address the IT2FRRAP. They carried out the computational simulations on various numerical databases to show the gravity of the proposed formulations. To compare its productiveness, a detailed analysis of the proposed solution was made with the genetic algorithm (GA).

Fuzzy Multi-Objective Software Reliability Redundancy Allocation Based on MEDA-BFA Algorithm

2013 ◽  
Vol 278-280 ◽  
pp. 2090-2093 ◽  
Author(s):  
Xue Mei Hou ◽  
Wei Liu ◽  
Fei Gao ◽  
Jing Wang
Keyword(s):  
Engineering Design ◽  
Software Reliability ◽  
Allocation Problem ◽  
Decision Makers ◽  
Allocation Model ◽  
Redundancy Allocation Problem ◽  
Reliability Allocation ◽  
Redundancy Allocation ◽  
Multi Objective ◽  
Estimation Of Distribution

Software reliability allocation problem is a major problem in engineering design practices. A fuzzy multi-objective software reliability allocation model is established by analyzing the software redundancy architecture and considering some fuzzy factors to reliability. Then, the MEDA-BFA algorithm is proposed based on estimation of distribution to solve software reliability redundancy allocation problem. Finally, experimental results show that the proposed intelligence algorithm can solve multi-objective software reliability allocation effectively and correctly, can help decision makers decide between software reliability and cost.

An online cost allocation model for horizontal supply chains

2021 ◽  
Vol 122 ◽  
pp. 102888
Author(s):  
Han Zou ◽  
Maged M. Dessouky ◽  
Shichun Hu
Keyword(s):  
Supply Chains ◽  
Cost Allocation ◽  
Allocation Model
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