Impact of Adequate Knowledge Model on Bottom-Line


  • Basel Alsayyed Ahmad Assistant Prof. at the department of Mechanical Engineering, United Arab Emirates University (UAEU) QS Rank 385


knowledge modeling, ontology, process modeling, CAD/CAM, CIM


As the competition is getting fiercer, smarter knowledge representation is needed to keep our bottom line un-compromised. With the so much outsourcing of jobs, more of our youth are going away from studying and/or training in manufacturing. Unless more is done immediately, this will hit the whole manufacturing community with lack of expertise and less people with the "know how" skills to keep our manufacturing prospering. In this paper advantages of an adequate knowledge modeling are highlighted. Ontology will be used as a platform for modeling the accumulated knowledge in manufacturing. A meta model will be built to capture the manufacturing knowledge in an easy to use and maintain model. A turning process is selected to model the knowledge needed for it in an ontology model.

Author Biography

Basel Alsayyed Ahmad, Assistant Prof. at the department of Mechanical Engineering, United Arab Emirates University (UAEU) QS Rank 385

Dr. Basel Alsayyed is an assistant professor at the department of mechanical engineering in UAEU. With over 16 years of experience in academia, and 12 over years of industrial experience, most of which are in the American automotive industry, Dr. Alsayyed has a passion for education in general and teaching and training in particular. Teaching is an art, a trust, a valuable transformation of students using certain methods and tools, and it is holy, are all part of his belief. Dr. Alsayyed research interests are in the areas of advanced manufacturing, quality & reliability, renewable energy, engineering education and knowledge management.


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How to Cite

Alsayyed Ahmad, B. (2014). Impact of Adequate Knowledge Model on Bottom-Line. Asian Journal of Engineering and Technology, 2(6). Retrieved from