A review of redundancy allocation problem for two decades: bibliometrics and future directions
Redundancy allocation problem (RAP) has attracted many researchers in recent years as it
is very important aspect in the field of reliability and system engineering. It plays an …
is very important aspect in the field of reliability and system engineering. It plays an …
Short-term natural gas consumption prediction based on Volterra adaptive filter and improved whale optimization algorithm
W Qiao, Z Yang, Z Kang, Z Pan - Engineering Applications of Artificial …, 2020 - Elsevier
Short-term natural gas consumption prediction is an important indicator of natural gas
pipeline network planning and design, which is of great significance. The purpose of this …
pipeline network planning and design, which is of great significance. The purpose of this …
Energy-time tradeoffs for remanufacturing system scheduling using an invasive weed optimization algorithm
This article studies the scheduling problem for a remanufacturing system with parallel
disassembly workstations, parallel flow-shop-type reprocessing lines and parallel …
disassembly workstations, parallel flow-shop-type reprocessing lines and parallel …
A novel reliability redundancy allocation problem formulation for complex systems
Z Zhang, L Yang, Y Xu, R Zhu, Y Cao - Reliability Engineering & System …, 2023 - Elsevier
Abstract Reliability Redundancy Allocation Problem (RRAP) aims to optimize system design
with respect to certain resource constraints. For the most of RRAP studies, it is commonly …
with respect to certain resource constraints. For the most of RRAP studies, it is commonly …
Redundancy allocation problem of a multi-state system with binary-state continuous performance level components
M Sharifi, S Taghipour - Expert Systems with Applications, 2022 - Elsevier
This paper presents a new single-objective redundancy allocation problem (RAP) for a
system with subsystems in a series–parallel configuration. Different types of binary-state …
system with subsystems in a series–parallel configuration. Different types of binary-state …
Solving a continuous periodic review inventory-location allocation problem in vendor-buyer supply chain under uncertainty
In this work, a mixed-integer binary non-linear two-echelon inventory problem is formulated
for a vendor-buyer supply chain network in which lead times are constant and the demands …
for a vendor-buyer supply chain network in which lead times are constant and the demands …
Survival signature based robust redundancy allocation under imprecise probability
C Ling, L Yang, K Feng, W Kuo - Reliability Engineering & System Safety, 2023 - Elsevier
Abstract his paper investigates the robust reliability design of a complex system with
imprecise model parameters. The considered system is supposed to have multiple types of …
imprecise model parameters. The considered system is supposed to have multiple types of …
ACO-based approach for integrating product lifecycle management with MRO services in aviation industry
AM Guraksin, A Ozcan - Soft Computing, 2023 - Springer
Optimizing aircraft maintenance, repair and overhaul (MRO) planning, ie, reviewing aircraft
history based on when and where the aircraft should be serviced, is essential to ensuring …
history based on when and where the aircraft should be serviced, is essential to ensuring …
A two-stage stochastic programming model of component test plan and redundancy allocation for system reliability optimization
AE Baladeh, E Zio - IEEE Transactions on Reliability, 2020 - ieeexplore.ieee.org
This article presents a new two-stage stochastic model for the simultaneous optimization of
component test plan and redundancy allocation. The optimal number of tests is determined …
component test plan and redundancy allocation. The optimal number of tests is determined …
An innovative hybrid algorithm for bound-unconstrained optimization problems and applications
RP Parouha, P Verma - Journal of Intelligent Manufacturing, 2022 - Springer
Particle swarm optimization (PSO) and differential evolution (DE) are two efficient meta-
heuristic algorithms, achieving excellent performance in a wide variety of optimization …
heuristic algorithms, achieving excellent performance in a wide variety of optimization …