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Reliability analysis of complex multi-state system with common cause failure based on evidential networks
With the increasing complexity and size of modern advanced engineering systems, the
traditional reliability theory cannot characterize and quantify the complex characteristics of …
traditional reliability theory cannot characterize and quantify the complex characteristics of …
An evidential network-based hierarchical method for system reliability analysis with common cause failures and mixed uncertainties
J Mi, N Lu, YF Li, HZ Huang, L Bai - Reliability Engineering & System Safety, 2022 - Elsevier
Redundant design has been widely used in aerospace systems, nuclear systems, etc. which
calls for particular attention to common cause failure problems in such systems with various …
calls for particular attention to common cause failure problems in such systems with various …
Modelling different types of uncertainty in biofuel supply network design and planning: A robust optimization approach
This article proposes a mixed-integer programming (MILP) model to determine the strategic
and tactical level decisions of lignocellulosic bioethanol supply chain subject to different …
and tactical level decisions of lignocellulosic bioethanol supply chain subject to different …
A review and classification of fuzzy mathematical programs
In this article, a review of fuzzy mathematical programming models according to fuzzy
components is given. Fifteen types of the fuzzy mathematical programming models are …
components is given. Fifteen types of the fuzzy mathematical programming models are …
Reliability assessment of complex electromechanical systems under epistemic uncertainty
The appearance of macro-engineering and mega-project have led to the increasing
complexity of modern electromechanical systems (EMSs). The complexity of the system …
complexity of modern electromechanical systems (EMSs). The complexity of the system …
Designing a sustainable–resilient disaster waste management system under hybrid uncertainty: a case study
Due to the increase in the number of natural disasters and the significant amounts of waste
generated in these events, having a comprehensive framework for its management in the …
generated in these events, having a comprehensive framework for its management in the …
Application of fuzzy mathematical programming approach to the production allocation and distribution supply chain network problem
B Bilgen - Expert Systems with Applications, 2010 - Elsevier
An efficient integration of production and distribution plans into a unified framework is critical
to achieving competitive advantage. This paper addresses the production and distribution …
to achieving competitive advantage. This paper addresses the production and distribution …
Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design
The main goal of this study is to address gap in the area of Closed-loop Supply Chain
Network Design (CLSCND) under the hybrid uncertain conditions. To do this, a multi-product …
Network Design (CLSCND) under the hybrid uncertain conditions. To do this, a multi-product …
Adaptive and hybrid forecasting models—a review
Nowadays, good supply chain management is most important to guarantee a competitive
advantage and to accomplish the value promise offered to the company's clients. To this …
advantage and to accomplish the value promise offered to the company's clients. To this …
Robust design of a sustainable and resilient bioethanol supply chain under operational and disruption risks
P Mousavi Ahranjani, SF Ghaderi, A Azadeh… - Clean technologies and …, 2020 - Springer
In this work, we propose a mixed-integer linear programming model to address the design
and planning of a multi-feedstock lignocellulosic bioethanol supply chain network. In order …
and planning of a multi-feedstock lignocellulosic bioethanol supply chain network. In order …