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B. Sc.: Industrial Engineering - Fayoum University - Faculty of Engineering - 2006 |
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M. Sc.:Mechanical Desing And Production - Fayoum Cairo - Faculty of Engineering - 2010 |
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Ph. D.: Industrial Production Engineering - Faculty of Engineering - University of Rome “La Sapienza” - 2014 |
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Demonstrator:
2006 To 2010 |
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Assistant Lecturer: From 2010 to 2015 |
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Lecturer: From 2015 To 2021 |
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Assistant professor: From 2021 Until Now |
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Statistical Process Control
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Operations Research
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Operations Management |
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Optimum Design |
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Simulation and Modeling of Engineering Systems |
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Performance Analysis and Evaluation |
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IDENTIFICATION OF QUALITY CONTROL CHART PATTERNS USING NEURAL NETWORKS |
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ANALYZING THE VALUE OF INFORMATION SHARING AND INVENTORY REPLENISHMENT POLICIES ON SUPPLY CHAIN PERFORMANCE |
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Smoothing inventory decision rules in seasonal supply chains |
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Assessment of levelized cost of electricity of offshore wind energy in Egypt |
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Techno-economic assessment of biomass power plant fed with rice straw: Sensitivity and parametric analysis of the performance and the LCOE |
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Modeling and optimizing of variance amplification in supply chain using response surface methodology |
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A new efficient collaboration model for multi-echelon supply chains |
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A real-time optimization of reactive power for an intelligent system
using genetic algorithm
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Analysis of variance amplification and service level in a supply chain
with correlated demand
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Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M., 2015. A real-time SPC inventory replenishment system to improve supply chain performances. Expert Systems with Applications, 42(3), 1665–1683. |
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Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M., 2015. SPC forecasting system to mitigate the bullwhip effect and inventory variance in supply chains. Expert Systems with Applications, 42(3), 1773–1787. |
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Shaban, A., Costantino, F., Di Gravio, G., & Tronci, M., 2015. Managing the bullwhip effect in multi-echelon supply chains.Industrial Engineering & Management, 4: e128. doi:10.4172/2169-0316.1000e128 |
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Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M., 2014. The impact of information sharing and inventory control coordination on supply chain performances. Computers & Industrial Engineering, 76, 292–306. |
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Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M., 2014. The impact of information sharing on ordering policies to improve supply chain performances. Computers & Industrial Engineering, 82, 127-142. |
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Costantino, F., Di Gravio, G., & Shaban, A., 2014. Multi-criteria logistics distribution network design for mass customization. International Journal of Applied Decision Sciences, 7(2), 151–167. |
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Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M., 2014. Replenishment policy based on information sharing to mitigate the severity of supply chain disruption. International Journal of Logistics Systems and Management, 18(1), 3-23. |
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Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M., 2014. Inventory control system based on Control Charts to improve supply chain performances. International Journal of Simulation Modelling, 13(3), 263-275. |
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Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M., 2014. SPC-based inventory control policy to improve supply chain dynamics.International Journal of Engineering and Technology, 6(1), 418-426. |
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Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M., 2013. Information sharing policies based on tokens to improve supply chain performances.International Journal of Logistics Systems and Management, 14(2), 133-160. |
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Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M., 2013. Exploring the bullwhip effect and inventory stability in a seasonal supply chain. International Journal of Engineering Business Management, W.H. Ip (Ed.), ISBN: 1847-9790, InTech, DOI: 10.5772/56833. |
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Shaban, A., & Shalaby, M.A., 2012. A double neural network approach for the identification and parameter estimation of control chart patterns.International Journal of Quality Engineering and Technology, 3(2), 124-138. |
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Shaban, A., Shalaby, M., Abdelhafiez, E., & Youssef, A.S., 2010. Automated identification of basic control charts patterns using neural networks. Journal of Software Engineering and Applications, 3(3), 208 - 220. |
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Shaban, A., & Shalaby, M.A., 2010. A double neural network approach for the automated detection of quality control chart patterns. International Journal of Rapid Manufacturing, 1(3), 278 – 291. |
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Abdelhady, S., Borello, D., Shaban, A., & Rispoli, F., 2014. Viability study of biomass power plant fired with rice straw in Egypt. The 6th International Conference on Applied Energy – ICAE2014, Taipei, Taiwan. |
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Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M., 2012. A simulation based game approach for teaching operations management topics. In: Winter Simulation Conference 2012. ISBN: 9781467347815, Berlin (Germany), 9-12/12/2012. |
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Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M., 2012 Simulation-based analysis of the bullwhip effect under classical and information sharing ordering policies. In: Winter Simulation Conference 2012. ISBN: 9781467347815, Berlin (Germany), 9-12/12/2012. |
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Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M., 2012. . Simulation model to analyze bullwhip effect under classical and information sharing ordering policies.In: 17th International Symposium on Inventories. Budapest (Hungary), 20-24/08/2012, ISBN: 9789630845922. |
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Costantino, F., Di Gravio, G., & Shaban, A., 2012. Ordering Policies Based on Information Sharing to Mitigate the Severity of Supply Chain Disruption. In: Seventeenth International Working Seminar on Production Economics. Innsbruck (Austria), 20-24/02/2012, Vol. 1, pp. 91-103. |
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Shaban, A.S., & Shalaby, M.A. 2010. A double neural network approach for the automated detection of quality control chart patterns. Proceedings of the 8th Conference on Production Engineering and Design for Development, PEDD8, Faculty of Engineering, Ain Shams University, pp. 153 - 163. |
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Shaban, A.S., Shalaby, M.A., Abdelhafiez, E., & Youssef, A.S., 2009. . Automated identification of basic control charts patterns using neural networks. Proceedings of the 44th Annual Conference on Statistics, Computer Science and Operation Research, Institute of Statistical Studies and Research (ISSR), Cairo University. |
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