Reliability analysis of complex multi-state system with common cause failure based on evidential networks

J Mi, YF Li, W Peng, HZ Huang - Reliability Engineering & System Safety, 2018 - Elsevier
With the increasing complexity and size of modern advanced engineering systems, the
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 …

Modelling different types of uncertainty in biofuel supply network design and planning: A robust optimization approach

S Bairamzadeh, M Saidi-Mehrabad, MS Pishvaee - Renewable energy, 2018 - Elsevier
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 …

A review and classification of fuzzy mathematical programs

A Baykasoǧlu, T Goecken - Journal of Intelligent & Fuzzy …, 2008 - content.iospress.com
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 …

Reliability assessment of complex electromechanical systems under epistemic uncertainty

J Mi, YF Li, YJ Yang, W Peng, HZ Huang - Reliability Engineering & System …, 2016 - Elsevier
The appearance of macro-engineering and mega-project have led to the increasing
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

Z Mamashli, S Nayeri, R Tavakkoli-Moghaddam… - … Applications of Artificial …, 2021 - Elsevier
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 …

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 …

Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design

E Dehghan, MS Nikabadi, M Amiri… - Computers & Industrial …, 2018 - Elsevier
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 …

Adaptive and hybrid forecasting models—a review

CH Fajardo-Toro, J Mula, R Poler - … of the 11th International Conference on …, 2019 - Springer
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 …

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 …