Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia

M Yazdani, K Kabirifar, BE Frimpong, M Shariati… - Journal of Cleaner …, 2021 - Elsevier
Urbanization and population growth have resulted in a significant increase in the amount of
generated construction and demolition (C&D) waste worldwide. Improper C&D waste …

Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite

AA Shahmansouri, M Yazdani, S Ghanbari… - Journal of Cleaner …, 2021 - Elsevier
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 …

Mechanical properties of GGBFS-based geopolymer concrete incorporating natural zeolite and silica fume with an optimum design using response surface method

AA Shahmansouri, M Nematzadeh… - Journal of Building …, 2021 - Elsevier
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 …

Production scheduling of off-site prefabricated construction components considering sequence dependent due dates

M Yazdani, K Kabirifar, AM Fathollahi-Fard… - … Science and Pollution …, 2021 - Springer
The growing environmental concerns, excessive utilization of natural resources, and high
energy consumption have put a severe pressure on the construction industry to adopt new …

[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 …

Integrated production and maintenance scheduling for a single degrading machine with deterioration-based failures

M Ghaleb, S Taghipour, M Sharifi… - Computers & Industrial …, 2020 - Elsevier
In production lines, several factors contribute to the manufacturing of final products. Among
these factors, the production time, machine status, and energy consumption, before and …

A novel machine learning approach combined with optimization models for eco-efficiency evaluation

M Mirmozaffari, M Yazdani, A Boskabadi… - Applied Sciences, 2020 - mdpi.com
Machine learning approaches have been developed rapidly and also they have been
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 …

Off-Site construction Three-Echelon supply chain management with stochastic constraints: A modelling approach

SAS Salari, H Mahmoudi, A Aghsami, F Jolai, S Jolai… - Buildings, 2022 - mdpi.com
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 …

Selecting appropriate risk response strategies considering utility function and budget constraints: A case study of a construction company in Iran

M Safaeian, AM Fathollahi-Fard, K Kabirifar, M Yazdani… - Buildings, 2022 - mdpi.com
Successful implementation of construction projects worldwide calls for a set of effective risk
management plans in which uncertainties associated with risks and effective response …