ORCID: https://orcid.org/0000-0002-3980-8942
Scopus: https://www.scopus.com/authid/detail.uri?authorId=35728881500
Publons: https://publons.com/researcher/2959374/adnan-hassan/
ReserachGate: https://www.researchgate.net/profile/Adnan-Hassan-2
*** JOURNAL & PROCEEDINGS
2021
Ali Anjomshoae, Adnan Hassan, Kuan Yew Wong, and Ruth Banomyong (2021). “An Integrated Multi-Stage Fuzzy Inference Performance Measurement Scheme in Humanitarian Relief Operations.” International Journal of Disaster Risk Reduction.Volume 61, July 2021, 102298 (IF: 2.896, Q1) https://doi.org/10.1016/j.ijdrr.2021.102298
Munawar Zaman and Adnan Hassan (2021), “Fuzzy Heuristics and Decision Tree for Classification of Statistical Feature-based Control Chart Patterns”, Symmetry, Vol. 13 (1), 110. https://doi.org/10.3390/sym13010110 (IF: 3.745, Q2)
Fareeduddin Mohammed, Adnan Hassan and S. Z. Selim (2021), “Robust Design of a Closed-Loop Supply Chain Considering Multiple Recovery Options and Carbon Policies under Uncertainty”, IEEE Access. Vol. 9, pp. 1167-1189 (Published online 22 Dec 2020) (IF: 3.745, Q1). doi: 10.1109/ACCESS.2020.3046684. (accepted 12 Dec 2020) (IF: 3.745, Q1).
Toh, H.T. and Adnan Hassan (2021). “Quality Improvement in a Multi-cavity Injection Moulding Process Using Response Surface Methodology.” in Akhyar (ed), Lecture Notes in Mechanical Engineering. Singapore: Springer Nature, Chapter 28, pp. 277-288 (Q4, Scopus).
Yee Minn and Adnan Hassan (2021). “Performance of EWMA and ANN-based Schemes in Detection of Denial-of-Service Attack.” IOP Conference Series: Materials Science and Engineering, 1096 012009, doi:10.1088/1757-899X/1096/1/012009.
Munawar Zaman and Adnan Hassan (2021). “X-Bar Control Chart Patterns Identification Using Nelson’s Run Rules Combinations.” Proceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management. 7-11 Mar. Singapore. (ISBN: 978-1-7923-6124-1) (Scopus).
Waseem Alwan, Adnan Hassan and Nor Hasrul Akhmal Ngadiman (2021). “A Review on Input Features for Control Chart Patterns Recognition.” Proceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management. 7-11 Mar. Singapore. (ISBN: 978-1-7923-6124-1) (Scopus).
2020
Nazmee Hashim, Adnan Hassan and Mohd Foad Abdul Hamid (2020), Predictive Maintenance Model for Centrifugal Pumps under Improper Maintenance Conditions, AIP Conference Proceedings 2217, 030170 (1-6); https://doi.org/10.1063/5.0000876 (Scopus)
Fareeduddin Mohammed and Adnan Hassan (2020). “Optimal Planning of a Closed-loop Supply Chain with Recovery Options and Carbon Emission Considerations.” 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). Singapore: IEEE, pp. 54-58, DOI: 10.1109/IEEM45057.2020.9309835 (Scopus).
Azman Ahmad Bakir, Adnan Hassan, Mohd Foad Abdul Hamid (2020). “Feature Extraction Methods for Prognosis Maintenance Model.” IOP Conference Series: Materials Science and Engineering, 884 012094, doi:10.1088/1757-899X/884/1/012094 (Scopus).
2019
Munawar Zaman and Adnan Hassan (2019) . Improved Statistical Feature-based Control Chart Patterns Recognition using ANFIS with Fuzzy Clustering. Neural Computing and Applications, Vol 31 (10). p.5935-5949, Springer. DOI 10.1007/s00521-018-3388-2 (IF: 4.215)
Ali Anjomshoae, Adnan Hassan, Kuan Yew Wong (2019). An Integrated AHP-based Scheme for Performance Measurement in Humanitarian Supply Chain. International Journal of Productivity and Performance Management. Vol. 68 No. 5, pp. 938-957, DOI:10.1108/IJPPM-04-2018-0132
R, Haghighati and Adnan Hassan (2019). Feature Extraction in Control Chart Patterns with Missing Data. Journal of Physics: Conference Sir. 1150 012013, pg 1 – 8. doi:10.1088/1742-6596/1150/1/012013
Azman A Bakir, Munawar Zaman, Adnan Hassan and Mohd Foad A. Hamid, M.F.A. (2019). Prediction of Remaining Useful Life for Mechanical Equipment Using Regression, Journal of Physics: Conf. Series 1150 (2019) 012012 IOP Publishing doi:10.1088/1742-6596/1150/1/012012.
Fareeduddin Mohammed, Adnan Hassan and Shokri Z. Selim (2019), Carbon Market Sensitive Robust Optimization Model for Closed-Loop Supply Chain Network Design Under Uncertainty, Journal of Physics: Conf. Series 1150 012009. doi:10.1088/1742-6596/1150/1/012009.
2018
Ashkan Memari, Robiah Ahmad, Abd. Rahman Abdul Rahim, Adnan Hassan (2018), Optimizing a Just-In-Time Logistics Network Problem under Fuzzy Supply and Demand: Two Parameter-tuned Metaheuristics Algorithms. Neural Computing and Applications. 30, p.3221-3233, DOI: 10.1007/s00521-017-2920-0 (IF: 4.215)
Fareeduddin Mohammed, Adnan Hassan, and Shokri Z. Selim, (2018), Robust Optimization for Closed-loop Supply Chain Network Design Considering Carbon Policies Under Uncertainty. International Journal of Industrial Engineering: Theory Applications and Practice. Vol. 25 (4). 526-558, Nov 2018 Elsevier. (IF: 0.565)
Razieh Haghighati and Adnan Hassan (2018) . Recognition Performance of Imputed Control Chart Patterns Using Exponentially Weighted Moving Average. European J. of Industrial Engineering, Vol.12, No 5, 637-660. Inderscience: (DOI: 10.1504/EJIE.2018.10015686) (IF: 1.085)
2017
Fareeduddin Mohammed, Shokri Z. Selim, Adnan Hassan, and Mujahid Naqeebuddin Syed (2017), Multi-period Planning of Closed-loop Supply Chain with Carbon Policies Under Uncertainty, Transportation Research Part D 51, 146-172, March 2017 Elsevier. DOI: 10.1016/j.trd.2016.10.033 (IF: 1.864)
Ashkan Memari, Abd. Rahman Abdul Rahim, Adnan Hassan, and Robiah Ahmad (2017). A Tuned NSGA-II to Optimize the Total Cost and Service Level for a Just-in-time Distribution Network. Neural Computing and Application. 28(11). pp.3413-3427. Spinger. DOI 10.1007/s00521-016-2249-0 (IF:2.502)
Soleimaninanadegany, A., Hassan, Adnan. and Galankashi, M.R. (2017), Product Allocation of Warehousing and Cross Docking: a Genetic Algorithm Approach, Int. J. Services and Operations Management, Vol. 27, No. 2, pp.239–261.
Ali Anjomshoae, Adnan Hassan, Nathan Kunz, Kuan Yew Wong, Sander de Leeuw (2017), Toward a Dynamic Balanced Scorecard Model for Humanitarian Relief Organizations Performance Management, Journal of Humanitarian Logistics and Supply Chain Management. https://doi.org/10.1108/JHLSCM-01-2017-0001 (won Emerald Literati Award)
2016
Ashkan Memari, Abd. Rahman Abdul Rahim, Nabil Absi, Robiah Ahmad, Adnan Hassan (2016), Carbon-capped Distribution Planning: A JIT Perspective, Computers & Industrial Engineering, Vol 97, July 2016, pp. 111-127. DOI information: 10.1016/j.cie.2016.04.015. (IF:3.195)
Ashkan Memari, Abd Rahman Abdul Rahim, Robiah Ahmad and Adnan Hassan (2016). A Literature Review on Green Supply Chain Modelling for Optimising CO2 Emission. Int. J. Operational Research, Vol. 26, No. 4, 2016.
Muchamad Oktaviandri, Adnan Hassan, Awaluddin Mohd. Shaharoun (2016). “Generation of Look-Up Tables for Dynamic Job Shop Scheduling Decision Support Tool.” IOP Conf. Series: Materials Science and Engineering. Vol. 114 (012067). pp 1 – 9. (doi:10.1088/1757-899X/114/1/012067) (Scopus).
Hamed Piroozfard, Kuan Yew Wong, and Adnan Hassan (2016). A Hybrid Genetic Algorithm with a Knowledge-based Operator for Solving the Job Shop Scheduling Problems. Journal of Optimization. Hindawi Publishing (indexed in web of science). 13 pages. Vol 2016. Article ID 7319036, Doi: 10.1155/2016/7319036
2014
Ibrahim Masood and Adnan Hassan (2014), Bivariate Quality Control Using Two-stage Intelligent Monitoring Scheme, Expert Systems with Applications 41 (2014) pp. 7579-7595 (IF: 1.965)
Seyed Hossein Khodaei , Adnan Hassan , Masoud Rahiminezhad Galankashi (2014). Priority Analysis on the Reliability Parameters of an Existing Model “International Journal of Industrial Engineering and Management (IJIEM), Vol. 5 No 2, 2014, pp. 77-84 Available online at www.iim.ftn.uns.ac.rs/ijiem_journal.php ISSN 2217-2661 (Scopus)
Razieh Haghighati and Adnan Hassan (2014). “A Conceptual Methodology for Recognition of Constrained Control Chart Patterns.” Advanced Materials Research. Vol 845, pp 696-700, Trans Tech Publications, Switzerland (Scopus).
W. N. Wan Hussin, Adnan Hassan, A. H. Halim, and Z. Zakaria (2014). “Preliminary Work Towards Development of a Dynamic Job Shop Scheduling Model.” Advanced Materials Research. Vol 845, pp 682-686, Trans Tech Publications, Switzerland (Scopus).
Ali Anjomshoae, Adnan Hassan and Mat Rebi Abdul Rani (2014). “A Review of Ergonomics and Simulation Modeling in Healthcare Delivery System.” Advanced Materials Research. Vol. 845, pp. 604-608, Trans Tech Publications, Switzerland (Scopus).
Hamed Piroozfard, Adnan Hassan, Ali Mokhtari Moghadam, and Ali Derakhshan asl (2014), A Hybrid Genetic Algorithm for Solving Job Shop Scheduling Problems, Advanced Materials Research Vol. 845, pp 559-563, Trans Tech Publications, Switzerland.
2013
Ibrahim Masood and Adnan Hassan (2013). Pattern Recognition for Bivariate Process Mean Shifts Using Feature-based Artificial Neural Network, Advanced Manufacturing Technology, Vol. 66, Issue 9-12, June 2013, Pages 1201-1218, Spinger. (IF:2.601)
Ibrahim Masood and Adnan Hassan (2013), A Framework for Multivariate Process Monitoring and Diagnosis, Applied Mechanics and Materials Vol. 315, pp 374-379.
Ibrahim Masood and Adnan Hassan (2013), Multivariate Process Monitoring and Diagnosis: A Case Study, Applied Mechanics and Materials Vol. 315 (2013) pp 606-611.
Ibrahim Masood and Adnan Hassan (2013), A Framework for Multivariate Process Monitoring and Diagnosis, Applied Mechanics and Materials Vol. 315, pp 374-379.
2011
Adnan Hassan (2011). “An Improved Scheme for Online Recognition of Control Chart Patterns”. Int. J. Computer Aided Engineering and Technology, Vol. 3, Nos. 3/4. pp.309–321.
2010
Ibrahim Masood and Adnan Hassan (2010). “Issues in Development of Artificial Neural Network-Based Control Chart Pattern Recognition Schemes”. European Journal of Scientific Research. Vol.39 No.3. pp.336-355. (http://www.eurojournals.com/ejsr.htm)
Ibrahim Masood and Adnan Hassan (2010). “Statistical Features-ANN Recognizer for Bivariate Process Mean Shift Pattern Recognition.” 3rd International Conference on Intelligent and Advanced Systems. http://www.utp.edu.my/icias2010. 15-27 Jun, Kuala Lumpur (Scopus).
2009
Ibrahim Masood and Adnan Hassan (2009). “Synergistic-ANN Recognizers for Monitoring and Diagnosis of Multivariate Process Shift Patterns.” 2009 International Conference of Soft Computing and Pattern Recognition. IEEE Computer Society, pp. 266 – 271 (Scopus).
2008
Adnan Hassan (2008). “Ensemble ANN-based Recognizers to Improve Classification of X-bar Control Chart Patterns.” IEEE International Conference on Industrial Engineering and Engineering Management. 8 – 11 Dec 2008, Singapore, pp. 1996-2000 (Scopus).
2003
Adnan Hassan, M. Shariff N. Baksh, Awaluddin M. Shaharoum, Hishamuddin Jamaluddin (2003). “Improved SPC Chart Pattern Recognition Using Statistical Features”. International Journal of Production Research, Vol. 41, No. 7. pp. 1587 – 1603. (IF:2.623) (Won Best Paper Award for International Journal Paper Category by Universiti Teknologi Malaysia, Sept 2004).
2000
Adnan Hassan, M. Shariff N. Baksh, Awaluddin Mohd Shaharoum (2000). Issues in Quality Engineering Research, International Journal of Quality and Reliability Management. Vol 17, No 8, pp. 858-875.
NON INDEXED JOURNAL
Ali Anjomshoae, Adnan Hassan, Cherian Samuel, and Wong Kuan Yew (2017), Effect of Information Sharing and Capacity Adjustment on the Healthcare Supply Chain: A Case of Flood Disaster, Journal of Applied Environmental and Biological Sciences. Vol. 7, No.3, TextRoad Publication. ISSN: 2090-4274.
Noni Rosyani Rosli and Adnan Hassan (2015). Improving Process Quality in Friction Welding for Bimetal Lugs. Jurnal Mekanikal (UTM). Jun vol. page 7-17. Vol. 38, Issue 1 (June) (http://jurnalmekanikal.fkm.utm.my)
Razieh Haghighati and Adnan Hassan (2013), Modeling flow of Crowd during Tawaf at Masjid al-Haram, Jurnal Mekanikal, June 2013, No 36, pg 02-18.
Ibrahim Masood and Adnan Hassan (2012). “An integrated MEWMA-ANN Scheme Towards Balance Monitoring and Accurate Diagnosis of Bivariate Process Mean Shifts.” Journal of King Saud University – Computer and Information Sciences. Vol. 24, pp. 93-100. (doi:10.1016/j.jksuci.2011.10.002).
