- Welcome Statement from Director :
The Khalifa University research center on Digital Supply Chain and Operations Management is a faculty cluster, dedicated to scholarship and education on extended enterprise operations and its digital transformation. Our macro-level research aims to providing real-world, cutting edge focus on the digital transactions, its management, and optimization in multiple domains (maritime logistics, production lines, health care delivery systems). This website displays the faculty center expertise that brings together experts in supply chain, data science and predictive analytics, along with digitally networked systems, to address the extended-enterprises as a nexus of integrated supply-chains, digital-operations management, and technology-ready human capital.Through this website, we intended to publicize our research projects, proposed methodologies and research agenda, and our scientific output. We welcome your feedback and we are open to collaboration with a multi-disciplinary perspective that encompasses engineering, socio-economics, and systems design.
Mohammed A. Omar
Director and Professor of Industrial and Systems Engineering
- Objectives –
- Mission- To provide rigorous academics and industry-inspired scholarship in designing and managing digitally networked systems, and the interface of humans and technology in a digital economy.
- Vision- To provide inter-disciplinary scientific cluster, internationally recognized, in Digital transformation of supply chains, Analytics driven management and the Socio-economics of engineering operations.
- Values and Guiding principles-
- Interdisciplinary character.
- UAE Relevance.
- International orientation and participation.
- Student development, accomplishment, and mentorship.
- Complex System Thinking.
- Creativity and Initiative.
- Ethical conduct and professional behavior.
- Faculty (Include center role for Director and Theme Leads only)
Lead Principal Investigator (Center Director) Co-Lead Principal Investigators (Theme Leads) Raja Jayaraman, Associate Professor, Industrial and Systems Engineering Maher Maalouf, Associate Professor, Industrial and Systems Engineering Project Investigators / Project Co-Investigators Khaled Salah, Full Professor, Computer Engineering, EECS Department Andreas Henschel, Assistant Professor, Computer Science, EECS Department Andrei Sleptchenko, Assistant Professor, Industrial and Systems Engineering Kamal Taha, Associate Professor, Computer Engineering, EECS Department Heungjo An, Assistant Professor, Industrial and Systems Engineering Emre Simsekler, Assistant Professor, Industrial and Systems Engineering Adriana Gabor, Assistant Professor, Applied Mathematics Nelson King, Associate Professor, Industrial and Systems Engineering
- Haya Raed Hasan
- Abdulqader Mohammed Al Kaf
- Dounia Marbouh
- Noora Alblooshi
- Sumaya Almaazmi
- Mariam Almaazmi
- Wala’ Al Khader
Center Name Member Name Type Affiliation/ Entity Country (based in) Justification for Inclusion Digital Supply Chain and Operations Management DSO Dr. Noura Al Daheri Industry (Government) Abu Dhabi Ports Company (Maqta Gateway Manager) UAE Supply chain expert and Chair of the AD ports company research committee Mr. Mohammed Jaffar Nasser Industry (Government) Emirate Airlines UAE Logistics Expert, SVP at Emirates Airlines Dr. George Westerman Academic MIT USA Digital Economy Group at MIT Dr. Rob Zuidwijk Academic Erasmus University Netherlands (Professor of Ports in Global Networks at Rotterdam School of Management), Rotterdam is the biggest port in Europe Dr. Abdelqader Abu Safieh Industry (Government) Strata Manufacturing PJSC UAE Research and development at Strata and Turbine Solutions, SVP Technology and Advanced Materials Dr. Todd Taylor Academic Arizona State University USA Director NVCE (Network of Value Chain Excellence) ASU is ranked #1 in Innovation and is #3 in Supply Chain and Logistics
- Faculty (Include center role for Director and Theme Leads only)
The research agenda is composed of the following integrated themes; 1- Supply Chain Analytics; aims at researching new methods and tools to integrate and improve-performance of complex and extended supply chains using predictive analytics and self-optimizing logistics. 2- Digital Operations Management; aims at enabling the transition into paperless, borderless and highly trusted transaction-based operations, with highly decentralized traceability, governance and access. This will be focused on ports operations and management of container flow and compliance assurance to shipping conditions and international standards; in addition to Etihad Cargo shipping strategies and advance planning. 3- The Future of Work in a digital enterprise; this theme addresses the Socio-technical impact of digitalized transaction and self-optimizing operations on the design of work and human capacity development.
- List of Ongoing Center-related Projects
(1 paragraph of text per project. Nothing overly detailed technically)
- 1- Performance Based Logistics for Supply Chain Logistics of Aerospace and Defense Industries: This proposal aims to improve supply chain operations for MRO operators in aerospace and defense industries under PBL environments by optimizing their spare parts supply chain in order to increase equipment availability and maximize their profit
2- Predictive Analytics for Supply Chains: The ability to effectively process and analyze large quantities of data and derive actionable insights is extremely valuable in the context of logistics and supply chain management.
3- Digitalization of the Service Parts Supply Chain: This project aims to design the necessary mechanisms of protected data sharing in Service Parts Supply Chains for better visibility, traceability and transparency of the supply process, as well as, for easier localization of the service parts production that will help reduce lead-times.
4- Digital Traceability and Certification for Port Logistics: This project aims to design the necessary mechanisms for traceability and certification of the maritime logistics processes relevant to UAE environment that can be used to monitor violations about shipment conditions and ensure compliance with local and international standards and regulations.
5- Future of work in the Digital Economy: The overarching goal of the project is to study the societal and economic impacts of the innovations developed by the center in terms of job creation, evolution in the skills requirements of these jobs and alignment with the social and educational policies of the UAE. To ensure maximum impact for the research, a data driven methodology will be taken so that the work will be generalizable to other sectors and economies for which compatible data is available.
- Research Center Lab
- Overview of the research capabilities of the lab
Supply Chain and Operations Management in Extended enterprise (SCORE) laboratory, which is based on a fully collaborative simulation, and control space. The space is fitted with 24 advanced processing units, full wall displays, collaborative seating arrangement. This lab is equipped with state of the art computing infrastructure and software subscriptions;
The Immersive Reality Laboratory (IRL) including and not limited to Siemens digital suite access, and an immersive Igloo Cylinder environment (for training and process design), product of Igloo, UK. 3D capturing systems and scenes reconstruction tools for digital workspace simulation and design. This include Synertial motion capture system, and 3D treadmill setup.
Smart Factory Laboratory (SFL), which is equipped with an Autonomous Guided Vehicle (AGV), RFID, fully integrated with Automatic Storage and Retrieval AS/RS station, and multiple flexible (plug and plug) robotics/handling stations.
- Overview of the research capabilities of the lab
Publications – journals/ books/ reviews (from 2017 onwards)
- Karakatsanis, I., AlKhader, W., Woon, W., Omar, M. “Data Mining Approach to Monitoring the Requirements of the Job Market, Automation Case Study”, DOI, 10.1016/j.is.2016.10.009
- Mayyas, A., Omar, M. A., Mayyas Abed., Qattawi, A., Qin, S., “Knowledge based system, equipped with clustering analysis for eco-material selection”, International Journal of Sustainable Engineering, DOI: 10.1080/19397038.2013.798713,
- Omar, M. A., Zhu, Q., Khraisheh, D. Lahouji, A. Abou Ali, “A Hybrid Simulation Approach for Predicting Energy Flows in Production Lines” Intl. J. of Sustainable Engineering, DOI: 10.1080/19397038.2015.1008599,
- Hasan, H. and Salah, K., “Blockchain-based Proof of Delivery of Physical Assets with Single and Multiple Transporters,” IEEE Access, December 2018, Vol. 6, No.1, pp. 46781-46793.
- Khan, M. and Salah, K., “IoT Security: Review, Blockchain Solutions, and Open Challenges,” Journal of Future Generation Computer Systems, Elsevier, Vol. 82, May 2018, pp. 395-411. https://doi.org/10.1016/j.future.2017.11.022
- Nizamuddin, N., Hasan, H. and Salah, K., “IPFS-Blockchain-based Authenticity of Online Publications,” Proceedings of the 2018 International Conference on Blockchain (ICBC 2018), Springer LNCS, Seattle, USA, June 25 – June 30, 2018.
- Kafhali, S. and Salah, K., “Efficient and Dynamic Scaling of Fog Nodes for IoT Devices,” Journal of Supercomputing, Springer, Vol. 73, No. 12, December 2017, pp. 5261-5284. https://link.springer.com/article/10.1007/s11227-017-2083-x
- Jeong, Y.S. and Jayaraman, R. “Support Vector-Based Algorithms with Weighted Dynamic Time Warping Kernel Function for Time Series Classification”, Knowledge-Based Systems, 75, 184-191, 2015. Web of Science IF: 4.529. https://doi.org/10.1016/j.knosys.2014.12.003
- Jayaraman, R., Pazour, J., Rardin, R.L., Varghese, V., and Buyurgan, N. “An Exploratory Pilot Study on Supply Chain Data Standards in a Hospital Pharmacy”, Engineering Management Journal, 27(3), 141-151, 2015. Web of Science Impact Factor: 0.548. https://doi.org/10.1080/10429247.2015.1062692
- Sleptchenko A., Van der Heijden, M.C., 2016, ‘Joint optimization of redundancy level and spare part inventories’, Reliability Engineering & System Safety, 2016, 153, 64-74
- Adan I., Sleptchenko A., Van Houtum G.J, 2009, ‘Reducing Costs of Spare Parts Supply Systems via Static Priorities,’ Asia-Pacific Journal of Operational Research, 26(4).
- Pourakbar M., Sleptchenko A., Dekker R., 2009, ‘The floating stock policy in fast moving consumer goods supply chains’, Transportation Research Part E, 45(1).
- Kamal Taha. “Disjoint Community Detection in Networks based on the Relative Association of Members”. IEEE Transactions on Computational Social Systems, 2018, Vol. 5, issue 2.
- Kamal Taha, Khaled Salah, and Paul Yoo. “Clustering the Dominant Defective Patterns in Semiconductor Wafer Maps”. IEEE Transactions on Semiconductor Manufacturing, 2017, Vol. 31, issue 1, pp. 156-165.
- Khoury, N. and Maalouf, M. (2018). Prediction of Resilient Modulus from Post-Compaction Moisture Content and Physical Properties Using Support Vector Regression. Geotechnical and Geological Engineering, 36 (5): 2881-2892.
- Simsekler MCE, Ward JR, Clarkson PJ. “Evaluation of System Mapping Approaches in Identifying Patient Safety Risks”, The International Journal for Quality in Health Care. 2018;30(3):227–233 https://doi.org/10.1093/intqhc/mzx176
- Simsekler MCE, Ward JR, Clarkson PJ. “Design for Patient Safety: A Systems-based Risk Identification Framework”, Ergonomics. 2018;61(8):1046-1064, https://doi.org/10.1080/00140139.2018.1437224
- Simsekler MCE, Kaya GK, Ward JR, Clarkson PJ. “Evaluating Inputs of Failure Modes and Effects Analysis in Identifying Patient Safety Risks”, International Journal of Health Care Quality Assurance, forthcoming, https://doi.org/10.1108/IJHCQA-12-2017-0233
- Mai Oudah and Andreas Henschel. Taxonomy-aware Feature Engineering for Microbiome Classification. BMC Bioinformatics, 2018.
- Ali Diabat, Tarek Abdallah, and Andreas Henschel. A closed-loop location- inventory problem with spare parts consideration. Computers & Operations Research, 2013.
- Syafiq Kamarul Azman, Muhammad Zohaib Anwar, and Andreas Henschel*. Visibiome: an efficient microbiome search engine based on a scalable, distributed architecture. BMC Bioinformatics, 18(1):353, 2017. *Corresponding Author. Impact factor 2.4
- Mohammed, B., Salah, K., and AlQutayri, M., “Manipulating Reference Voltage of the Memory,” US – Regular Patent Application No 14/679,162, Granted December 2107.
- Mohammed, B., Salah, K., and AlQutayri, M., “Randomization of Data Stored in Memory”, US – Regular Patent Application No 14/681,156, Granted November 2017
- Salah, K., Mohammed, B., AlQutayri, M., and Albelooshi, B., “Volatile Memory Erasure by Controlling Refreshment of Stored Data” US – Regular Patent Application No. 14/627,133, July 3, 2018.