You are here

Home » Content

Sınav Görevlisi Atama Probleminin Hedef Programlama Yöntemiyle Çözümü

2017Goal Programming Solution of the Examiner Assignment Problem

Journal Name:

  • Bilge International Journal of Science And Technology Research

Publication Year:

  • 2017

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
In universities and other educational institutions, the preparation of course schedules, the making of examination schedules, scheduling studies for assignments for examinations and lectures are carried out. Studies are being done in many businesses for the balanced distribution of tasks among staff. In this study, it was aimed to equip all examiners working at Kırıkkale University Engineering Faculty in a balanced and fair manner in the midterm and final week examinations and to prepare an appointment schedule in the framework of the rules that the university wants. In the study, 741 assignments were made for 36 research assistants working in 7 different departments, taking into consideration 5 different time zones within the scope of 9 day examination period.For assignments, the sections to which the delegates are attached are primarily assigned and the special requests of the delegates are also taken into consideration. The goal programming method is used for the assignment.
Bookmark/Search this post with
Abstract (Original Language): 
Üniversitelerde ve diğer eğitim kurumlarında ders programlarının hazırlanması, sınav programlarının yapılması, sınav ve derslere görevli ataması için çizelgeleme çalışmaları yapılmaktadır. Görevlilerin dengeli görev dağılımı için birçok işletmede çalışmalar yapılmaktadır. Bu çalışmada da Kırıkkale Üniversitesi Mühendislik Fakültesinde çalışan bütün araştırma görevlilerinin vize ve final haftasındaki sınav gözetmenliklerinin dengeli ve adaletli bir şekilde atamak ve üniversitenin istediği kurallar çerçevesinde bir atama çizelgesini hazırlamak amaçlanmıştır. Çalışmada, 7 farklı bölümde çalışan 36 araştırma görevlisi için, 9 günlük sınav periyodu kapsamında, 5 farklı saat dilimi göz önüne alınarak 741 sınava atama yapılmıştır. Atamalar için görevlilerin bağlı olduğu bölümler öncelikle atanması sağlanmıştır ve görevlilerin özel istekleri de dikkate alınmıştır. Görevli ataması için hedef programlama yöntemi kullanılmıştır.
FULL TEXT (PDF): 
PDF icon arastirmax-sinav-gorevlisi-atama-probleminin-hedef-programlama-yontemiyle-cozumu.pdf
  • 2
105
118
  • Turkish

REFERENCES

References: 

Abbas, A.M., Tsang, E.P.K. (2001). Constraint-based timetabling-a case study. Computer Systems and Applications, ACS/IEEE International Conference, Beirut, Lebanon, 67-72.
Alfares, H. (2001). Staffing and Workforce Scheduling for a Security Gate. International Journal of Operations & Quantitative Management, 7, 281–293.
Al-Betar, M.A., Khader, A.T. (2012). A harmony search algorithm for university course timetabling, Annals of Operations Research, 194(1), 3-31.
Al-Yakoob, S.A., Sherali, H.D. (2007). A mixed-integer programming approach to a class timetabling problem: A case study with gender policies and traffic considerations. European Journal of Operational Research, 180 (3), 1028-1044.
Asmuni, H., Burke, E.K., Garibaldi, J., McCollum B. (2004). Fuzzy multiple ordering criteria for examination timetabling”. Selected Papers from the 5th International Conference on the Practice and Theory of Automated Timetabling. Berlin, Germany, Springer Lecture Notes in Computer Science, 3616, 334-353.
Charnes, A., Cooper, W.W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York.
Charnes, A., Cooper, W. W., Ferguson, R. (1955). Optimal Estimation of Executive Compensation by Linear Programming, Management Science, 1, 138-151.
Charnes, A., Cooper, W.W. (1977). Goal programming and multiple objective optimizations, European Journal of Operational Research I, 39-54.
Chu, S. C. K. (2007). Generating, scheduling and rostering of shift crew-duties: Applications at the Hong Kong International Airport. European Journal of Operational Research, 177, 1764-1778.
Corominas, A., Lusa, A., Pastor, R. (2004). Planning annualisedhourswith a finite set of weekly working hours and joint holidays. Annals of Operations Research, 128, 217-233.
Daskalaki, S., Birbas, T., Housos, E. (2004). An Integer Programming Formulation for a Case Study in University Timetabling. European Journal of Operational Research, 153 (1), 117-135.
Dimopoulou, M., Miliotis, P. (2004). An Automated University Course Timetabling System Developed in a Distributed Environment: A Case Study. European
Bilge International Journal of Science and Technology Research 2017, 1(2): 105-118
117
Journal of Operational Research, 153 (1), 136-147.
Gunawan, A., Ming, K. (2011). Solving the Teacher Assignment Problem by Two Metaheuristics, International Journal of Information and Management Sciences 22, 73-86.
Ignizio, J. Introduction to Goal Programming, Sage Publications Inc., Beverley Hills,California, USA, 1985.
Legierski, W., Widawski, R. (2003). System of Automated Timetabling. 25th Int. Conf. Information Technology Interfaces ITI 2003, Cavtat, Croatia, 495-500.
Lewis, R. (2008). A survey of metaheuristic-based techniques for University Timetabling problems, OR Spectrum, 30(1), 167-190.
Parthiban, P., Ganesh, K., Narayanan, S., Dhanalakshmi, R. (2004). Preferences Based Decision-Making Model (PDM) for Faculty Course Assignment Problem. Engineering Management Conference Proceedings, IEEE International, Singapore, 3, 1338- 1341.
Qu, R., Burke, E.K., McCollum, B., Merlot, L.T.G., Lee, S.Y. (2009). A survey of search methodologies and automated system development for examination timetabling, Journal of Scheduling, 12(1), 55-89.
Schaerf, A. (1999). Local Search Techniques for Large High School Timetabling Problems. Systems, Man and Cybernetics. Part A, IEEE Transactions, 29 (4), 368-377.
Sigl, B., Golub, M., Mornar, V. (2003). Solving Timetable Scheduling Problem Using Genetic Algorithms. Information Technology Interfaces, ITI 2003. Proceedings of the 25th International Conference, Dubrovnik, Croatia, 519- 524.
Soria-Alcaraz, J.A., Ochoa, G., Swan, J., Carpio, M., Puga, H., Burke, E.K. (2014). Effective learning hyper-heuristics for the course timetabling problem, European Journal of Operational Research. 238, 77-86.
Tam, V., Ting, D. (2003). Combining the Min-Conflicts and Look-Forward Heuristics to Efectively Solve a Set of Hard University Timetabling Problems. 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'03). Sacremento, California, USA, 492-496.
Topaloğlu, S., Özkarahan, I. (2004). An implicit goal programming model for the tour scheduling problem considering the employee work preferences. Annals of Operations Research, 128, 135-158.
Ünal, F.M., Eren, T. (2016). Hedef Programlama ile Nöbet Çizelgeleme Probleminin Çözümü. Akademik Platform Mühendislik ve Fen Bilimleri Dergisi, 4 (1), 28-37.
Ünlüsoy, S., Eren, T. (2016). Kamusal Binalarda Temizlik Çizelgeleme ve Örnek Uygulama. Mühendislik Bilimleri ve Tasarım Dergisi, 4 (3), 149-155.
Varlı, E., Eren, T., Gençer, M. A., Çetin, Ö.S. (2016). Ankara Metrosu M1 Hattındaki Vatmanların Vardiya Saatlerinin Çizelgelenmesi. 3.Uluslararası Raylı Sistemler Mühendisliği Sempozyumu-Karabük.
Varlı, E., Eren, T. (2017). Hemşire Çizelgeleme Problemi ve Bir Hastanede Uygulama. Akademik Platform Mühendislik ve Fen Bilimleri Dergisi, 5(1), ss. 34-40.
Varlı, E., Ergişi, B., Eren, T. (2017). Özel Kısıtlı Hemşire Çizelgeleme Problemi: Hedef Programlama Yaklaşımı. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 0 (49), 189-206.
Yang, Y., Petrovic, S. (2004). A Novel Similarity Measure for Heuristic Selection in Examination Timetabling. In: Burke, E.K., Trick, M. (eds.) Proceedings of the 5th International Conference on the Practice and Theory of Automated Timetabling, 377–396.
Zhang, L., Lau, S.K. (2005). Constructing university timetable using constraint satisfaction programming approach. Proceedings of the 2005 International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC’05), Vienna, Austria, 55-60.
Bilge International Journal of Science and Technology Research 2017, 1(2): 105-118
118
Zhaohui, F., Lim, A. (2000). Heuristics for the Exam Scheduling Problem. Tools with Artificial Intelligence, ICTAI 2000 Proceedings. 12th IEEE International Conference, Vancouver, Canada, 172– 175.

Thank you for copying data from http://www.arastirmax.com