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Wafa' AlAlaween
Wafa' AlAlaween
Associate Professor, Dept. of Industrial Engineering, School of engineering, The University of
Email verificata su ju.edu.jo
Titolo
Citata da
Citata da
Anno
Predictive modelling of the granulation process using a systems-engineering approach
WH AlAlaween, M Mahfouf, AD Salman
Powder Technology 302, 265-274, 2016
262016
Solving dynamic systems with multi-responses by integrating desirability function and data envelopment analysis
A Al-Refaie, W AlAlaween, A Diabat, MH Li
Journal of Intelligent Manufacturing 28 (2), 387-403, 2017
232017
An interpretable fuzzy logic based data-driven model for the twin screw granulation process
WH AlAlaween, B Khorsheed, M Mahfouf, GK Reynolds, AD Salman
Powder Technology 364, 135-144, 2020
222020
A predictive integrated framework based on the radial basis function for the modelling of the flow of pharmaceutical powders
M Alshafiee, WH AlAlaween, D Markl, M Soundaranathan, A Almajaan, ...
International journal of pharmaceutics 568, 118542, 2019
162019
Integrating the physics with data analytics for the hybrid modeling of the granulation process
WH AlAlaween, M Mahfouf, AD Salman
AIChE Journal 63 (11), 4761-4773, 2017
162017
Forecasting vehicle's spare parts price and demand
A Alalawin, LM Arabiyat, W Alalaween, A Qamar, A Mukattash
Journal of Quality in Maintenance Engineering, 2020
132020
Transparent predictive modelling of the twin screw granulation process using a compensated interval type-2 fuzzy system
WH AlAlaween, B Khorsheed, M Mahfouf, I Gabbott, GK Reynolds, ...
European Journal of Pharmaceutics and Biopharmaceutics 124, 138-146, 2018
132018
A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process
WH AlAlaween, AH AlAlawin, M Mahfouf, OH Abdallah, MA Shbool, ...
Plos one 16 (9), e0256999, 2021
72021
When swarm meets fuzzy logic: Batch optimisation for the production of pharmaceuticals
WH AlAlaween, M Mahfouf, AD Salman
Powder Technology 379, 174-183, 2021
72021
A Fuzzy Logic Based Assessment Algorithm for Developing a Warehouse Assessment Scheme
AH AlAlawin, WH AlAlaween, MA Salem, M Mahfouf, NT Albashabsheh, ...
Computers & Industrial Engineering, 108088, 2022
62022
The development of a radial based integrated network for the modelling of 3D fused deposition
Wafa' AlAlaween et al.
Rapid Prototyping Journal, 2022
62022
A Dynamic Type-1 Fuzzy Logic System for the Development of a New Warehouse Assessment Scheme
WH AlAlaween, AH Alalawin, M Mahfouf, OH Abdallah
IEEE Access 9, 43611-43619, 2021
62021
A new integrated modelling architecture based on the concept of the fuzzy logic for the turning process
WH AlAlaween, AH AlAlawin, L Al-Durgham, NT Albashabsheh
Journal of Intelligent & Fuzzy Systems 41 (1), 655-667, 2021
52021
An integrated multi-criteria decision-making framework for a medical device selection in the healthcare industry
MA Shbool, OS Arabeyyat, A Al-Bazi, WH AlAlaween
Cogent Engineering 8 (1), 1968741, 2021
42021
A dynamic nonlinear autoregressive exogenous model for the prediction of COVID-19 ‎cases in ‎Jordan
WH AlAlaween, NM Faouri, SH Al-Omary, EM Hendaileh, ASS Almousa, ...
Cogent Engineering 9 (1), 1-15, 2022
32022
Aligning key performance indicators with lean management in the service sector: A case study for a Jordanian telecommunication company
A Alalawin, AM Qamar, WH AlAlaween, Y Bentahar, T Al-Halaybeh, ...
Cogent Engineering 9 (1), 2124940, 2022
22022
Artificial neural networks for predicting the demand and price of the‎‎ hybrid elec‎ tric vehicle spare parts
WH AlAlaween, OA Abueed, AH AlAlawin, OH Abdallah, ...
Cogent Engineering 9 (1), 2075075, 2022
22022
Optimizing the turning operation via using the Grey Relational Grade
L Al-Durgham, AA Wafa’H, TA Nibal
International Journal of Mechanical Engineering and Robotics Research 11 (6 …, 2022
22022
An interpretable predictive modelling framework for the turning process by the use of a compensated fuzzy logic system
OALAQ A. Alalawin, W.H. AlAlaween, M.A. Shbool
Production & Manufacturing Research 10 (1), 89-107, 2022
22022
Serial artificial neural networks characterized by Gaussian mixture for the modelling of the Consigma25 continuous manufacturing line
WH AlAlaween, M Mahfouf, C Omar, RB Al-Asady, D Monaco, AD Salman
Powder Technology, 119296, 2023
1*2023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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