Dr Ahmed Maher

Position:

Senior Lecturer

Qualifications :

Ph.D. Engineering (Modelling & Optimization of Supply Chains)

MSc. Communications Network Planning & Management

BSc. Communications Engineering

About:

Ahmed Maher is Senior Lecturer in Logistics & Supply Chain Management and co-ordination of MSc Logistics & Supply Chain Management program at Muscat University. Prior to this position, he was a research associate within the Advanced Sustainable Manufacturing Technologies (ASTUTE) centre at Cardiff University. Ahmed has 3.5y experience in industry where he was appointed as a project supervisor or manager for several projects. Ahmed owns a Ph.D. in engineering from the University of Portsmouth/UK. His PhD research focused on modelling and optimization of a meat supply chain network design. Previously, in 2010, he completed his M.Sc. in Communication Network Planning and Management at University of Portsmouth/UK. Over a period of 5 years, Ahmed has published so far around 40 peer-reviewed journals (e.g., IJPE, CAIE, JCLP and ANOR) and conference papers and conducted a number of collaborative projects with industry (e.g., OCADO retailer). Also, He is reviewer for several quality journals such as IJPE, TRE, TRD, EJOR, IET, IJPE.

ACADEMIC AND PROFESSIONAL AWARDS

  • Certified Publons Academy Peer Reviewer, 2019.
  • 2017 ABTA Doctoral Researcher Awards for Best PhD students in the UK; University College London (UCL).
  • Jan 2018, Best PhD students award, Minster of Higher Education and Scientific Research of Iraq.
  • CILE dissertation of the year 2019 as a supervisor.
  • Feb 2018, Outstanding reviewer certificate, International Journal of Production Economics (IJPE).
  • June 2018, Recognized Reviewer certificate, Transportation research part E: (TRE).
  • Feb 2019, Recognized Reviewer certificate, Journal of Cleaner Production.

Research Interest (s):

  • Sustainable and Resilient Supply Chains
  • Food Waste Management
  • Supplier Selection Methodologies
  • Decision Making
  • Multi-objective Optimization
  • MCDM (AHP; TOPSIS, VIKOR, and DEMATEL)
  • ICT in Supply Chain Management
  • Last-Mile delivery

Notable Publication(s):

Peer-reviewed journals

  1. Mohammed, A., Harris, I., & Govindan, K. (2019). A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation. International Journal of Production Economics.
  1. Mohammed, A. (2019). Towards a sustainable assessment of suppliers: an integrated fuzzy TOPSIS-possibilistic multi-objective approach. Annals of Operations Research, 1-30.
  2. Nujoom, R., Mohammed, A., & Wang, Q. (2019). Drafting a cost-effective approach towards a sustainable manufacturing system design. Computers & Industrial Engineering133, 317-330.
  1. Mohammed, A., Harris, I., Soroka, A., & Nujoom, R. (2019). A hybrid MCDM-fuzzy multi-objective programming approach for a G-Resilient supply chain network design. Computers & Industrial Engineering, 127, 297-312.
  2. Mohammed, A., Harris, I., & Dukyil, A. (2019). A trasilient decision making tool for vendor selection: a hybrid-MCDM algorithm. Management Decision, 57(2), 372-395.
  1. Nujoom, R., Mohammed, A., & Wang, Q. (2018). A sustainable manufacturing system design: A fuzzy multi-objective optimization model. Environmental Science and Pollution Research, 25(25), 24535-24547.
  2. Mohammed, A., Setchi, R., Filip, M., Harris, I., & Li, X. (2018). An integrated methodology for a sustainable two-stage supplier selection and order allocation problem. Journal of Cleaner Production, 192, 99-114.
  3. Nujoom, R., Wang, Q., & Mohammed, A.(2018). Optimisation of a sustainable manufacturing system design using the multi-objective approach. The International Journal of Advanced Manufacturing Technology96(5-8), 2539-2558.
  1. Dukyil, A., Mohammed, A., & Darwish, M. (2018). Design and optimization of an RFID-enabled passport tracking system. Journal of ComputationalDesign and Engineering, 5(1), 94-103.
  2. Mohammed, A., & Wang, Q. (2017). The fuzzy multi-objective distribution planner for a green meat supply chain. International Journal of Production Economics, 184, 47-58.
  1. Mohammed, A., Wang, Q., & Li, X. (2017). A cost-effective decision-making algorithm for an RFID-enabled HMSC network design: A multi-objective approach. Industrial Management & Data Systems, 117(9), 1782-1799.
  1. Mohammed, A., Wang, Q., Alyahya, S., & Bennett, N. (2017). Design and optimization of an RFID-enabled automated warehousing system under uncertainties: a multi-criterion fuzzy programming approach. The International Journal of Advanced Manufacturing Technology, 91(5-8), 1661-1670.
  2. Mohammed, A., Wang, Q., & Li, X. (2017). A study in integrity of an RFID-monitoring HMSC. International Journal of Food Properties, 20(5), 1145-1158.
  3. Mohammed, A., & Wang, Q. (2017). Developing a meat supply chain network design using a multi-objective possibilistic programming approach. British Food Journal119(3), 690-706.
  4. Mohammed, A., & Wang, Q. (2017). Multi-criteria optimization for a cost-effective design of an RFID-based meat supply chain. British Food Journal, 119(3), 676-689.

Conference paper

  1. Nujoom R. and Mohammed A.(2019, November). Achieving sustainability in manufacturing systems: A quantitative study. Proceedings of the International Conference on Industrial Engineering and Operations Management, Riyadh, Saudi Arabia, November 26-28, 2019.
  2. Mohammed A.(2019, December). Towards sustainability in sourcing: A hybrid MCDM approach. 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019.
  3. Mohammed A. and Dukil, A. (2018, March). A trasilient user-friendly decision making tool for vendor selection: A hybrid-MCDM algorithm. Athena, Greece, Mar 2018. (Abstract)
  4. Mohammed, A., Harris, I., & Nujoom, R. A. O. (2018, January). Eco-Gresilient: coalescing ingredient of economic, green and resilience in supply chain network design. In International Conference on Operations Research and Enterprise Systems (pp. 201-208). SCITEPRESS–Science and Technology Publications.
  5. Mohammed A,Harrris, I. and Nujoom, R. (2018, January). Drafting a multi-objective optimization model for a supply chain resilience. International Conference on Operations Research and Enterprise Systems (ICORES), Madeira, Portugal, Jan 2018. (Presented)
  6. Mohammed A. Wang Q. and Li X. (2018, March). An RFID enabled monitoring system for a meat supply chain network. 21st Euro-Global Summit on Food and Beverages, Berlin, Germany, March 08-10 2018. J Food Process Technol. (Abstract)
  7. Laura Purvis, Mohamed M. Naim*, Anthony Soroka, Tim Ramjaun and Ahmed Mohammed.(2018, September). Strategic choices in creating resilient supply networks. Logistics Research Network Conference. (Abstract)
  8. Mohammed A.and Harris I. (2018, March). AHP-FTOPSIS approach for a green and resilient supplier selection and order allocation: A real case study. IPSERA. Athena, Greece, Mar 2018.(Abstract)
  9. Mohammed A.Dukayil A. and Harris I. (2018, July). Drafting a MCDM approach for a robust tender selection. 2018 IEEE 16th International Conference on Industrial Informatics. July 18-20, 2018, Porto, Portugal.
  10. Mohammed A.and Harris I. (2018, July). Multi-objective optimization approach for a sustainable assembly line configuration. 29th European Conference of Operations Research (EURO). Valencia, Spain, July 2018.
  11. Mohammed A.and Harris I. (2018, June). Gresilient Purchasing: A MADM approach. International Conference on Applied Analysis and Mathematical Modelling, Istanbul, Turkey, June 2018. (Abstact)
  12. Sanchez Rodrigues, V.et al. (2018, October). Food waste in the online grocery supply chain: The case of Ocado’s salads. Presented at: Efficient Customer Response Meeting, Lisbon, Portugal, 23-24 October 2018. Mohammed, A., Filip, M., Setchi, R., & Li, X. (2017, September). Drafting a fuzzy TOPSIS-multi-objective approach for a sustainable supplier selection. In 2017 23rd International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE.
  13. Nujoom, R., Wang, Q., & Mohammed, A.(2017, September). Towards a sustainable manufacturing system design: A multi-objective optimization model. In 2017 23rd International Conference on Automation and Computing (ICAC) (pp. 1-8). IEEE.
  14. Mohammed, A., Wang, Q., & Filip, M. (2017, September). Towards a cost-effective design of a meat supply chain: A multi-criteria optimization model. In 2017 23rd International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE.
  15. Dukyil, A., Mohammed, A., & Darwish, M. (2017, July). A cost-effective decision making algorithm for an RFID-enabled passport tracking system: A fuzzy multi-objective approach. In 2017 Computing Conference (pp. 88-95). IEEE.
  16. Mohammed, A., Alyahya, S., & Wang, Q. (2016, July). Multi-objective optimization for an RFID-enabled automated warehousing system. In 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 1345-1350). IEEE.
  17. Mohammed, A., & Wang, Q. (2016, September). A fuzzy multi-objective approach for a meat supply chain design. In 2016 22nd International Conference on Automation and Computing (ICAC) (pp. 71-77). IEEE
  18. Mohammed, A., & Wang, Q. (2016, August). An investment evaluation of a RFID-enabled meat supply chain: a multi-criteria approach. In MATEC Web of Conferences (Vol. 70, p. 06003). EDP Sciences.
  19. Nujoom, R., Mohammed, A.,Wang, Q., & Bennett, N. (2016, November). The multi-objective optimization model for a sustainable manufacturing system design. In 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) (pp. 1134-1140). IEEE.
  20. Dukyil, A., Mohammed, A., & Darwish, M. (2016, December). An optimization approach for a RFID-enabled passport tracking system. In Proceedings of the 4th International Conference on Control, Mechatronics and Automation (pp. 189-194). ACM.
  21. Mohammed, A., & Wang, Q. (2015, April). Integrity of an RFID-enabled HMSC network. In Proceedings of the Third International Conference on Digital Enterprise and Information Systems, Shenzhen (pp. 79-86).
  22. Mohammed, A., Wang, Q., & Li, X. (2015, December). A cost-effective decision-making algorithm for integrity of HMSCs: A multi-objective approach. In 2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) (pp. 106-110). IEEE.