Dr. Osman Taylan is a professor in the Industrial Engineering Department at King Abdulaziz University in Saudi Arabia. He received his PhD in Industrial Engineering from Sakarya University in Turkey in 1999. His research interests include artificial intelligence techniques such as fuzzy systems, neural networks, and qualitative reasoning. He has over 20 years of teaching and research experience, primarily focused on applications of artificial intelligence in engineering systems.

1. CURRICULUM VITAE
Dr. Osman Taylan
Present Affiliation
Personal Data:
Date of birth: January 1, 1969
Nationality: Turkish
Marital status: Married, has four children
Contact Information:
Address: Industrial Engineering Department,
King Abdulaziz University
P.O. Box 80204,
Jeddah 21589
Saudi Arabia
Office Tel: 0096626402000- Ext.72395
Home Tel: 0096626768867 (Jeddah)
Mobile: 00966500031056
Email: osman_taylan@yahoo.com, otaylan@kau.edu.sa
Degrees with Fields, Institution and Dates
PhD Department of Industrial Engineering, Sakarya University, Institute. of Science &
Technology, 1995-1999
M Sc. Department of Management Engineering, graduated with excellent degree Istanbul
Technical University, 1992-1994
B Sc. Department of Mining Engineering, graduated with honor degree, Istanbul Technical
University, 1987-1991,
Academic Qualifications & Education
Professor
Industrial Engineering Department
King Abdulaziz University
Jeddah-Saudi Arabia

2. Ph.D. (February 1995- March 1999)
He completed his PhD at Sakarya University in the Industrial Engineering Department,
Turkey, in the field of Artificial Intelligence. The thesis entitled “ Fuzzy Modelling and
Control of a Ceramic Production Subsystem”. It was completed under the supervision of
Prof. Dr. Harun Taşkın. A broad research of fuzzy system identification, modelling and
control of production systems have been carried out during this study. The research
particularly concentrated on the complex ill-defined processes that contain known and
unknown phenomena, which cannot be modelled by analytical methods. In fuzzy modelling
approach, the essential features of the production system were qualitatively described by the
use of fuzzy variables in place of, or in addition to numerical variables. At the control level,
fuzzy inference mechanism was used and important outcomes were obtained. As a result, it
is worth to mention that a new reasoning mechanism, a non-heuristic fuzzy clustering
method, a new fuzzy control strategy for powder production, and a systematic fuzzy
modelling methodology were developed.
M.Sc. ( February 1991- March 1994)
He took his M.Sc. with an excellent degree from the Management Engineering
Department of Science and Technology Institute of Istanbul Technical University, Turkey, in
the field of Production Planning and Management. He graduated with a honour degree. His
thesis was entitled “Application of Just in Time Philosophy to the Administrative
Operations”. He completed his thesis under the supervision of Prof. Dr. Semra Durmuşoğlu.
B. Sc. (1987-1991)
He got his BSc degree in Mining Engineering and completed the deficiency courses from
Management Engineering in Istanbul Technical University. He was among the students of
honour degree and graduated with a degree of highest third position in his department. The
duration of the degree programme was four-year. The final year project was “Performance
Improvement of Machines via Work Redesign”
Employment History:
Number of years of Service at KAU
 From 07.08.2014- to the present time, Professor at KAU, in Industrial Eng. Dept.
 From September 21, 2008 – 07.08.2014 Associate Professor at King Abdulaziz
University.
 September 24, 2003- to September 2008, Assistant Prof., of Industrial Engineering
Department at King Abdulaziz Uni., Jeddah, Saudi Arabia.
 September 1998- August 2003, Assistant Professor, Industrial Engineering
Department, Faculty of Engineering and Architecture, Girne American University,
Cyprus.
 August 1993- September 1998, Research Assistant, Dumlupınar University, Turkey.
Other Related Experience

3.  1998-2003 Girne American University, Head of Industrial Eng. Dept., & Vice Dean
of Engineering & Architecture Faculty, Cyprus.
 2002-2003 Member of Techno-park development group, TRNC.
 1994-1995 Consultant at Kutahya Chamber of Commerce.
 1997-1998 Member of Local Economic Development Program Committee, Kutahya
Turkey. The project was supported by the World Bank.
Teaching Experience:
taught the following courses.
 Operations Research I
 Operation Research II
 Business Performance Management
 Supply Chain Management (Graduate)
 Engineering Economy
 Engineering Management
 Industrial Quality Control
 Business Forecasting (Graduate)
 Artificial Intelligence an fuzzy logic ( Graduate &Undergraduate)
 Management Information Systems (Graduate &Undergraduate)
 Computer Aided Design
 Production Systems (Graduate &Undergraduate)
 Total Quality Control
 Quality Engineering (Graduate)
Research Interests:
Main area of research is Artificial Intelligence and related techniques; such as Fuzzy, Neuro-
fuzzy modelling, Qualitative Reasoning, Fuzzy Quality function deployment.
 Energy Production and management
 Productivity management
 Forecasting in Business processes
 Innovation and Business intelligence
 Air pollution and assessment
 Productivity of large scale systems
 Water treatment and quality improvement
 Multiple criteria decision making in construction
 Application of Information Technology in Large Scale Systems
 Redesign, and Re-engineering of Production Processes
 Edible oil quality and its process
Research Projects
Develop Fuzzy Multiple Criteria Decision Making Approach for Contractor
Classification and Selection in Construction Industry at KSA
Publications:
Journal Publications
Publications:

4. Journal Publications
1. Taylan O, and Zaitoon M. A hybrid fuzzy decision making approach for evaluating
occupational safety and health performance of food industries. Food Science. Under
revision.
2. Osman Taylan, Modelling ozone concentration in Jeddah by artificial intelligent
techniques for the sustainable environment quality. Under progress.
3. Dursun, S., Kunt, F., and Taylan, O., Modelling sulphur dioxide levels of Konya city
using artificial intelligent related to ozone, nitrogen dioxide and meteorological factors,
Int. J. Environ. Sci. Technol. Springer, 2015, DOI 10.1007/s13762-015-0821-2.
4. Taylan, O., Demirbas, A., (2015) Forecasting and Analysis of Energy Consumption for
Transportation in Kingdom of Saudi Arabia, Energy Sources, Part B: Economics,
Planning, and Policy, Accepted for publication.
5. Sapmaz, S., Fatma Canka Kilic, F. C., Eyidogan, M., Taylan, O., Coban, V.,
Cagman, S., Kilicaslan, I., Kaya, D., Selection of compressors for petrochemical
industry in terms of reliability, energy consumption and maintenance costs examining
different scenarios, energy exploration & exploitation · Volume 33 · Number 1 · 2015
pp. 43–62.
6. Al Ghamdi, K., and Taylan, O., A Comparative Study on Material Removal Rate by
ANFIS and Polynomial Models in Electrical Discharge Machining Process, Computers
and Industrial Engineering, Volume 79, January 2015, Pages 27–41.
7. Fatma Canka Kilic, F. C., Eyidogan, M., Taylan, O., Kaya, D., An energy efficiency
analysis of an industrial reheating furnace and an implementation of efficiency
enhancements methods, Energy Exploration & Exploitation, Volume 32 · Number 6 ·
2014 pp. 989–1003.
8. Muharrem EYİDOĞAN, Durmuş KAYA, Şükrü DURSUN, Osman TAYLAN,
Energy Saving and Emission Reduction Opportunities in Industrial Annealing Furnaces,
Journal of the Faculty of Engineering and Architecture of Gazi University. Vol 29, No 4,
735-743, 2014
9. Taylan O., Alidrisi, H., Kabli, M., A Combinatorial multi criteria decision making
approach by Fuzzy TOPSIS and DEA methodologies, South African J. of Industrial
Engineering. Home. Vol 25(3), pp 39-56 (2014).
10. Taylan, O., Bafail, A. O., A comparison study of assessing student learning by advanced
novel techniques, Jokull Journal, Vol. 64, No. 3;Mar 2014, 105-121.
11. Kaya, D., Ozkaymak, M., Selimli, S., Taylan, O., and Kilinc, E. (2014) Recuperator
Design for an Industrial Reheating Furnace, Mitteilungen Klosterneuburg, 64(4), 143-
159.
12. Taylan, O. Assessing the Learning Quality in Education at Program level, Jokull
Journal, 64 (2), 420-442, 2014.
13. Taylan, O., IT project risk assessment of learning organizations by fuzzy set and
systems, International Journal of Organizational Analysis, 22(2), 161-180, 2014.

5. 14. Taylan, O., Bafail, A. O., Abdulaal, R. M. S., Kabli, M. R., 'Construction projects
selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies, Applied
Soft Computing Journal. Volume 17, Pages 105–116, 2014.
15. Taylan, O., Prediction of air quality for sustainable environment by artificial intelligent
techniques, Energy Education Science and Technology Part A: Energy Science and
Research, Volume (issues) 31(3): 1635-1652, 2013.
16. Taylan, O., Assessing Air Quality in Jeddah by Modelling Suspended PM10
Concentration, J. of Int. Environmental Application & Science, Vol. 8 (3): 326-335,
2013.
17. Aydin, M. E., and Taylan, O., Scheduling Cutting Process for Large Paper Rolls,
Academic Platform Journal of Engineering and Science, APJES I-I 1-6, 2013.
18. Taylan, O., A Hybrid Methodology of Fuzzy Grey Relation for Determining Multi
Attribute Customer Preferences of Edible Oil. Applied Soft Computing, 13, 2981–2989,
2013.
19. Taylan, O., & Darrab, I. A., Fuzzy control charts for process quality improvement and
product assessment in Tip Shear carpet industry, Journal of manufacturing technology
management, Volume: 23 Issue: 3, pp 402-420, 2012.
20. Taylan, O., Estimating the quality of process yield by fuzzy sets and systems, Expert
systems with Applications, 38 (10), 12599–12607, 2011.
21. Taylan, O., & Darrab, I. A., Determining optimal quality distribution of latex weight
using adaptive neuro-fuzzy modeling and control systems, Computers and Industrial
Engineering, Vol. 61, 3, pp. 686-696, 2011.
22. Taylan, O., The Effect of Information Systems on Enterprise Transformation and
Organizational Behaviour, Canadian Journal on Data, Information and Knowledge
Engineering Vol. 1, No. 1, pp. 30-39, April 2010.
23. Taylan, O., Karagozoglu B., ‘An Adaptive Neuro-Fuzzy Model for Prediction of
Student’s Academic Performance, Computer & Industrial Engineering, 57, 732–741,
2009.
24. Taylan, O., ''The Role of Organization in Developing a Modern Information System'',
Journal of Naval Science and Technology. Journal of Naval Science & Engineering,
Vol.4, no.1, pp 78-94, 2010.
25. Tasaltin R., &Taylan O., A Frontal Face Detection Algorithm Using Fuzzy Classifier'',
Journal of King Abdulaziz University, JKAU: Eng. Sci., Vol. 18 No. 1, pp: 37 - 53 (2007
A.D. /1428 A.H.).
26. Taylan, O., '' Neural and Fuzzy Model Performance Evaluation of a Dynamic Production
System'' International Journal of Production Research, Volume.44, No.6/15, 1093-1105
(13), 2006.
27. Taylan, O., & Haydar, A., "Artificial Neural Network Models in Prediction of Moisture
Content of a Spray Drying Process", Journal of Korean Ceramic Society, Vol.41, No.5,
pp.353-358, 2004.
28. Taylan, O., & Taskin, H., "Fuzzy Modeling of A Production System", Journal of Naval
Science and Engineering, Vol. 1, No. 1, pp. 1-13, 2003.
Proceedings and Conference Publications:

6.  Taylan, O., (2011). Fuel Oil Inventory Optimization of an Electricity Power Plant,
Operations Research and Industrial Engineering 31st
National Congress, 05-07 / July,
2011 - Sakarya University, Turkey.
 Zeydan, M., Çolpan, C., & Taylan, O., A Competitive Performance Evaluation
Methodology in a Manufacturing Enterprise, 2010 Seventh International Conference
on Fuzzy Systems and Knowledge Discovery (FSKD 2010), IEEE, pp.2959-2963.
 Taylan, O., & Karagozoglu, B., ‘A Fuzzy Rule-Based Modeling Approach for
Student Academic Performance Evaluation’, ICEET-2nd
International Conference on
Engineering Education & Training, 2007.
 French, R., & Taylan, O., "Design of A Prototype Solar Powered Tricycle Suitable
For Commuting in Mediterranean Countries", Proceedings of 1st
International
Environmental Protection Congress, Near East University, 14-16 April 2002-TRNC.
 Taylan, O., Darrab, I. & Gunes, M., ‘Fuzzy relations of attributes and desirability
of edible oil, E_SEMP9 - 9th
Econometrics and Statistics Symposium, 9 September
university, 28-30 may, 2008, Izmir, Turkey.
 Taylan, O., " Development of an Information System for a Hotel Management",
OR/IE'2001 22nd
National Meeting on Operation Research & Industrial Engineering,
Gazi University, June-2001, Ankara, Turkey.
 Taylan, O., & Taskin, H., " A Fuzzy Model for Process Control" Proceedings
OR/IE'2000 21ST
National Meeting on Operation Research & Industrial Engineering,
Eastern Mediterranean University, pp.142-145, Jun.,12-14, 2000, Magusa, TRNC.
 Ağdelen, Z., & Taylan, O., “Investment Analysis and Project Evaluation a Case
Study” ”, Proceedings OR/IE'2000 21ST
National Meeting on Operation Research &
Industrial Engineering, Eastern Mediterranean University, pp.542-544, Jun.,12-14,
2000, Magusa, TRNC.
 TAYLAN, O., GÖLEÇ, A., & TAŞKIN, H., “Intelligent Control of a Porcelain
Factory Subsystem”, Proceedings of 2nd
International Symposium on Intelligent
Manufacturing Systems, August 6-7, 1998, pp. 651-662, Sakarya University.
 İ. Göktay EDİZ, & Osman TAYLAN “Improvement of Economic Productivity and
Capacity of Work Machines via Statistical Methods”, 3rd
National Statistic and
Economic Symposium, Uludağ University- Bursa, 1997, Turkey.
 TAYLAN, O., & TAŞKIN, H., “Is Re-Engineering Alternative of Total Quality
Management”, Proceedings 1st
National System Engineering Symposium, Kara Harp
Okulu, pp. 752-769, 12-13 Sept.1995, Ankara, Turkey.
 Semra DURMUŞOĞLU, Osman TAYLAN, “An Application of JIT ( Just in Time)
Philosophy to Administrative Operations in a Refractory Brick Plant”, 9th
World
Productivity Congress”, 1995, Istanbul, Turkey.
 Semra DURMUŞOĞLU, Osman TAYLAN, “Just in Time Information Flow in a
Refractory Brick Plant”, OR/IE'2000 14th
National Meeting on Operation Research &
Industrial Engineering, Bilkent University, August-1994, Ankara, Turkey.

7. Reviewer:
Has reviewed paper for the following body:
1. IEEE Trans. Fuzzy Systems, ''Control Design for Fuzzy systems Based on Relaxed
Nonquadratic Stability and H Performance Conditions.2006
2. Journal of King Abdulaziz University-Engineering Sciences at KAU. ''Fault
Diagnosis of a Hydraulic Power system Using an Artificial Neural Network''. 2006
3. IEEE Trans. Fuzzy Systems, '' A Generalized fuzzy Least-Squares Regression
Approach to Modeling Functional Relationships in QFD'' 2007
4. Journal of King Abdulaziz University-Engineering Sciences at KAU. Generalized
Model-Based Electronic Control Unit……. June, 2007.
5. Journal of Intelligent Manufacturing Systems ''Construction of quality control charts
by using probability and fuzzy approaches and an application in a textile company'',
September, 2007.
6. IEEE Transactions on Education, ‘Using Project Based Learning to Teach Six Sigma
Principles’, November 4, 2008.
7. How long does it take, how much does it cost, and what will we have when we are
done? What we don’t know about enterprise transformation. Journal of Enterprise
Transformation, Taylor & Francis, January 4, 2011
8. Neuro Evolutionary Model for Weld Residual Stress Prediction, applied Soft
Computing, 2013.
9. A visual Quality Assessment of an Industrial Product by Fuzzy Logic, Intelligent
Journal of Fuzzy Systems.
10. Assessment of fitness of a manufacturing organization using fuzzy methods,
Journal: Journal of Manufacturing Technology Management, 2012.
11. A Hybrid swarm Intelligence Algorithm for Multiuser Scheduling in HSDPA,
Applied Soft Computing, 2011.
12. A Fuzzy Probabilistic Neural Network for Student’s Academic Performance
Prediction, Arabian Journal of Science and Engineering, 2013.
13. Exploiting Fine-Grained Spatial Optimization for Hybrid File System Space, Applied
Soft Computing, 2012.
14. A multi-item transportation problem with fuzzy tolerance, Applied Soft Computing,
2013.
15. Investigation of the condensation in the micro channel flat tubes with artificial neural
networks, applied soft computing, 2012.
16. An Alpha-cut approach for fuzzy product and its use in computing solutions of fully
fuzzy linear systems, Applied Soft Computing, 2012.
17. Neuro Evolutionary Model for Weld Residual Stress Prediction, Applied Soft
Computing, 2013.