Using six sigma DMAIC methodology and discrete event simulation to reduce patient discharge time in king hussein cancer center M Arafeh, MA Barghash, N Haddad, N Musharbash, D Nashawati, ... Journal of healthcare engineering 2018 (1), 3832151, 2018 | 69 | 2018 |
Estimation of the probable outbreak size of novel coronavirus (COVID-19) in social gathering events and industrial activities MN Saidan, MA Shbool, OS Arabeyyat, ST Al-Shihabi, Y Al Abdallat, ... International Journal of Infectious Diseases 98, 321-327, 2020 | 58 | 2020 |
Pattern recognition of control charts using artificial neural networks—analyzing the effect of the training parameters MA Barghash, NS Santarisi Journal of Intelligent Manufacturing 15, 635-644, 2004 | 57 | 2004 |
Shrinkage and warpage detailed analysis and optimization for the injection molding process using multistage experimental design MA Barghash, FA Alkaabneh Quality Engineering 26 (3), 319-334, 2014 | 53 | 2014 |
A generalised framework for simulation-based decision support for manufacturing MM AlDurgham, MA Barghash Production Planning and Control 19 (5), 518-534, 2008 | 47 | 2008 |
Six Sigma applied to reduce patients' waiting time in a cancer pharmacy M Arafeh, MA Barghash, E Sallam, A AlSamhouri International Journal of Six Sigma and Competitive Advantage 8 (2), 105-124, 2014 | 40 | 2014 |
Life cycle costing of PV generation system AK Abu-Rumman, I Muslih, M Barghash Journal of applied research on industrial engineering 4 (4), 252-258, 2017 | 36 | 2017 |
A combined analytical hierarchical process (AHP) and Taguchi experimental design (TED) for plastic injection molding process settings FAK AlKaabneh, M Barghash, I Mishael The International Journal of Advanced Manufacturing Technology 66, 679-694, 2013 | 36 | 2013 |
Enhancing outpatient appointment scheduling system performance when patient no-show percent and lateness rates are high M Barghash, H Saleet International Journal of Health Care Quality Assurance 31 (4), 309-326, 2018 | 24 | 2018 |
An improved hybrid algorithm for the set covering problem S Al-Shihabi, M Arafeh, M Barghash Computers & Industrial Engineering 85, 328-334, 2015 | 22 | 2015 |
Dynamic programming model for multi-stage single-product Kanban-controlled serial production line MD Al-Tahat, D Dalalah, MA Barghash Journal of Intelligent Manufacturing 23, 37-48, 2012 | 22 | 2012 |
Building medical devices maintenance system through quality function deployment A Al-Bashir, M Al-Rawashdeh, R Al-Hadithi, A Al-Ghandoor, M Barghash JJMIE 6 (1), 2012 | 20 | 2012 |
A linear viscoelastic relaxation-contact model of a flat fractal surface: a Maxwell-type medium TA Alabed, OM Abuzeid, M Barghash The International Journal of Advanced Manufacturing Technology 39, 423-430, 2008 | 13 | 2008 |
Fuzzy-PID Control via Genetic Algorithm-Based Settings for the Intelligent DC-to-DC Step-Down Buck Regulation. AN Al-Rabadi, MA Barghash Engineering Letters 20 (2), 2012 | 12 | 2012 |
An effective and novel neural network ensemble for shift pattern detection in control charts M Barghash Computational Intelligence and Neuroscience 2015 (1), 939248, 2015 | 9 | 2015 |
Factor and cluster analysis as a tool for patient segmentation applied to hospital marketing in Jordan LM Al-Durgham, MA Barghash American Journal of Operations Research 5 (4), 293-306, 2015 | 8 | 2015 |
Evaluating the effects of process parameters on maximum extrusion pressure using a new artificial neural network-based (ANN-based) partial-modeling technique AKA Jawwad, MA Barghash The International Journal of Advanced Manufacturing Technology 68 (9-12 …, 2013 | 8 | 2013 |
Effect of pre-and post-weld shot peening on the mechanical & tribological properties of TIG welded aluminum 6061-T6 alloy AM Atieh, RM Allaf, A AlHazaa, M Barghash, H Mubaydin Transactions of the Canadian Society for Mechanical Engineering 41 (2), 197-209, 2017 | 7 | 2017 |
An ANN‐GA Framework for Optimal Engine Modeling KK Tahboub, M Barghash, M Arafeh, O Ghazal Mathematical Problems in Engineering 2016 (1), 6180758, 2016 | 7 | 2016 |
Evaluating the effects of process parameters on maximum extrusion pressure using a new artificial neural network-based (ANN-based) partial-modeling technique AK Abdul Jawwad, MA Barghash The International Journal of Advanced Manufacturing Technology 68, 2547-2564, 2013 | 7 | 2013 |