Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite
The growing concern about global climate change and its adverse impacts on societies is
putting severe pressure on the construction industry as one of the largest producers of …
putting severe pressure on the construction industry as one of the largest producers of …
Compressive strength prediction of eco-efficient GGBS-based geopolymer concrete using GEP method
Geopolymer concrete (GPC) could be used as an environmental-friendly alternative solution
for concrete production due to the detrimental impacts of cement production on the …
for concrete production due to the detrimental impacts of cement production on the …
Variable neighborhood search: The power of change and simplicity
This review discusses and analyses three main contributions championed by Professor
Mladenović. These include variable neighborhood search (VNS), variable formulation space …
Mladenović. These include variable neighborhood search (VNS), variable formulation space …
Mechanical properties of GGBFS-based geopolymer concrete incorporating natural zeolite and silica fume with an optimum design using response surface method
Geopolymer concrete (GPC), usually produced via the activation of the cementitious nature
of industrial by-products (IBPs) such as ground granulated blast furnace slag (GGBFS) and …
of industrial by-products (IBPs) such as ground granulated blast furnace slag (GGBFS) and …
A predictive maintenance model for optimizing production schedule using deep neural networks
Abstract Industry 4.0 (I4. 0) provides connectivity, data volume, new devices, miniaturization,
inventory reduction, personalization, and controlled production. In this new era …
inventory reduction, personalization, and controlled production. In this new era …
[HTML][HTML] Design of a distribution network in a multi-product, multi-period green supply chain system under demand uncertainty
A Boskabadi, M Mirmozaffari, R Yazdani… - Sustainable Operations …, 2022 - Elsevier
This paper proposes a novel fuzzy mathematical model for a distribution network design
problem in a multi-product, multi-period, multi-echelon, multi-plant, multi-retailer, multi-mode …
problem in a multi-product, multi-period, multi-echelon, multi-plant, multi-retailer, multi-mode …
A novel machine learning approach combined with optimization models for eco-efficiency evaluation
Machine learning approaches have been developed rapidly and also they have been
involved in many academic findings and discoveries. Additionally, they are widely assessed …
involved in many academic findings and discoveries. Additionally, they are widely assessed …
A novel hybrid parametric and non-parametric optimisation model for average technical efficiency assessment in public hospitals during and post-COVID-19 pandemic
M Mirmozaffari, R Yazdani, E Shadkam, SM Khalili… - Bioengineering, 2021 - mdpi.com
The COVID-19 pandemic has had a significant impact on hospitals and healthcare systems
around the world. The cost of business disruption combined with lingering COVID-19 costs …
around the world. The cost of business disruption combined with lingering COVID-19 costs …
Off-Site construction Three-Echelon supply chain management with stochastic constraints: A modelling approach
Off-site construction is becoming more popular as more companies recognise the benefits of
shifting the construction process away from the construction site and into a controlled …
shifting the construction process away from the construction site and into a controlled …
Selecting appropriate risk response strategies considering utility function and budget constraints: A case study of a construction company in Iran
Successful implementation of construction projects worldwide calls for a set of effective risk
management plans in which uncertainties associated with risks and effective response …
management plans in which uncertainties associated with risks and effective response …