Prof. Mohamed M. Dhiaf
Prof. Dhiaf is the Dean of Business Faculty at Emirates College of Technology, Abu Dhabi. He is a faculty member at the Department of Industrial Management. He earned his PhD from ENSAM de Paris- France. He has more than 20 years of teaching, consulting and research experience in Tunisia and abroad. Prof. Dhiaf has invested his experience in designing and developing a set of academic programs (Bachelor and Master levels) according to the national and international standards as well as the re-accreditation of the Business programs. In addition, he co-pilot the international accreditation ACBSP program for the Business Faculty in 2018.
Also, Prof. Dhiaf occupied many administrative positions such as Dean of Faculty of Business, Campus Director, Department Chair, Master Coordinator, Chair of the Exam committee etc.
His papers have been published in International peer-reviewed Journals and he’s a reviewer for many academic Scientific Journals and editorial board member of several International Conferences. He has supervised a number of Masters and PhD theses in his field.
- Li Jiang, Mohamed Dhiaf, Junfeng Dong, Changyong Liang & Shuping Zhao, (2019), “A travelling salesman problem with time windows for the last mile delivery in online shopping”, International Journal of Production Research.
- Haj Khalifa, A. & Mohamed Dhiaf, (2019), “Do ICTs Affect the Supply Chain Performance? Evidence from Tunisian Food Sector”, in Yugoslav Journal of Operations Research.
- Noura Smiti, Mohamed M. Dhiaf, Bassem Jarboui and Saıd Hanafi, (2018), “ Skewed general variable neighbourhood search for the cumulative capacitated vehicle routing problem”, International Transactions in Operational Research, Vol14, Issue, 1. DOI: 10.1111/itor.12513.
- Mounir Ben Aissa, Ilhem Slama, Mohamed M. Dhiaf, (2018), “ REVERSE LOGISTICS NETWORK PROBLEM USING SIMULATED ANNEALING WITH AND WITHOUT PRIORITY-ALGORITHM”, Archives of Transport, Vol. 43, Issue 3, pp:7-17.
- Sawssen ben Ammar, Taicir Loukil and Mohamed Dhiaf, (2017), “Multi-criteria Approach for Assessing the Logistics Performance of Industrial Purchase: Empirical Study of Tunisian Manufacturing Company”, International Journal of Applied Management Science, Volume 9, issue 4.