Industrial | Dr. Ahmed Shaban

Dr. Ahmed Shaban Shaban Khalifa

Contact Information
Phone Number: 084 6337580 / 084 6337588
Fax Number: 084 6334031
E-mail Address: ass00@fayoum.edu.eg
Office: Industrial Engineering Bulding - Fourth Floor
Postal Address: Fayoum - Fayoum University - Faculty of Engineering - Industrial Department - POBox: 63514

Academic Qualifications

B. Sc.: Industrial Engineering - Fayoum University - Faculty of Engineering - 2006

M. Sc.:Mechanical Desing And Production - Fayoum Cairo - Faculty of Engineering - 2010

Ph. D.: Industrial Production Engineering - Faculty of Engineering - University of Rome “La Sapienza” - 2014

Academic Positions

Demonstrator: 2006 To 2010

Assistant Lecturer:From 2010 to 2015

Lecturer:From 2015 Until Now

Research Interests

Statistical Process Control

Operations Research

Operations Management

Optimum Design

Simulation and Modeling of Engineering Systems

Performance Analysis and Evaluation

Theses

IDENTIFICATION OF QUALITY CONTROL CHART PATTERNS USING NEURAL NETWORKS

ANALYZING THE VALUE OF INFORMATION SHARING AND INVENTORY REPLENISHMENT POLICIES ON SUPPLY CHAIN PERFORMANCE

International Journals

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

International Conferences

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.

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.

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.

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.

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.

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.

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.