Improvement of Facility Layout by Using Data Mining Algorithms and an Application

Abstract

The facility layout problems are always important in the production or service industry system. For many years, it has been a common research field in active research. It seen that various methods were used in literature review for improving facility layout. We used association analysis which is one of the techniques of data mining in this study. The primary aim of this study is to improving the emergency department's efficiency, increasing patient satisfaction and employee satisfaction, decreasing travelled distance in emergency department. In this study, data acquired from information system of an emergency service was examined by means of data mining techniques (association rules such as GRI and Apriori) and relations between departments were found out. Association rules were analyzed via data mining techniques applied and then departments having more flow density with each other were determined. In consideration of this information an alternative facility layout planning was planned in regard to analysis results of departments’ closeness situations, advices of emergency service doctor and observations made.

Keywords

• GRI Algorithm,Apriori Algorithm,Facility Layout,Data Mining,Efficiency

Kaynakça

1. M. F. Unlersen and K. Sabanci (2016). The Classification of Diseased Trees by Using kNN and MLP Classification Models According to the Satellite Imagery. International Journal of Intelligent Systems and Applications in Engineering. Vol.4. Issue. 2. Pages. 25–28.
2. Paolo Giudici and Gianluca Passerone (2002). Data Mining of Association Structures to Model Consumer Behavior. Computational Statistics & Data Analysis. Vol. 38. Pages. 533–541.
3. Gül Gökay Emel, Çağatan Taşkın and Arif Tok (2005). Pazarlama Stratejilerinin Oluşturulmasında Bir Kara Destek Aracı: Birliktelik Kuralı Madenciliği (A Decision Support Tool in the Formation of Marketing Strategies: Association Rule Mining). Dokuz Eylül Üniversitesi Sosyal Bilimler Dergisi. Vol.7. Issue. 3.
4. Pınar Yildirim, Mahmut Uludağ and Abdülkadir Görür (2008). Hastane Bilgi Sistemlerinde Veri Madenciliği (Data Mining in Hospital Information Systems). Akademik Bilişim.Pages.429-434.
5. Ali Serhan Koyuncugil and Nermin Özgülbaş (2008). Data Mining: Using and Applications in Medicine and Healthcare. Bilişim Teknolojileri Dergisi. Vol.2. Issue. 2.
6. Mehpare Timor, Umman Tuğba Şimşek (2008). Customer Behaviour Modeling by Using Market Basket Analysis in Data Mining. Yönetim: İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Dergisi. Vol. 59. Pages. 3-10.
7. Derya Ay, İbrahim Çil (2008). The Use Of Association Rules In Store Layout Planning At Migros Türk A.Ş. Journal of Industrial Engineering. Vol. 21 Issue. 2. Pages. 14-29.
8. Ali Sait Albayrak, Sebnem Koltan Yilmaz (2009). Data Mining: Decision Tree Algorithms and an Application On ISE Data. Suleyman Demirel University the Journal of Faculty of Economics and Administrative Sciences. Vol.14. Issue.1.Pages31-52.

9. Çağatan Taşkin, Gül Gökay Emel (2010). Data Clustering Approaches in Data Mining And an Application With Kohonen Networks in Retailing Sector. Suleyman Demirel University the Journal of Faculty of Economics and Administrative Sciences. Vol.15. Issue.3. Pages.395-409.
10. Civan Özseyhan, Bertan Badur and Osman N. Darcan (2012). An Association Rule-Based Recommendation Engine for an Online Dating Site. Communications of the IBIMA.Vol.2012.
11. Gürdoğan Doğrul, Diyar Akay, Mustafa Kurt (2015). Analysis Of Traffic Accidents By Rules Of Association. Gazi Mühendislik Bilimleri Dergisi. 265-284.
12. Alwalid N. Elshafei (1977). Hospital Layout as a Quadratic Assignment Problem. Operational Research Quarterly. Vol. 28. Pages. 167-179.
13. Christian Stummer, Karl Doerner, Axel Focke and Kurt Heidenberger (2004). Determining Location and Size of Medical Departments in a Hospital Network: A Multiobjective Decision Support Approach. Health Care Management Science. Vol. 7. Pages. 63–71.
14. I-Cheng Yeh (2006). Architectural Layout Optimization Using Annealed Neural Network. Automation in Construction. Vol. 15. Pages. 531 – 539.
15. Behnam Malakooti , Nima R. Malakooti , Ziyong Yang (2007). Integrated Group Technology, Cell Formation, Process Planning, And Production Planning With Application to The Emergency Room. International Journal of Production Research. Vol. 42. Issue. 9. Pages. 1769-1786.
16. Lou Y. Liang, Wen C. Chao (2008). The Strategies Of Tabu Search Technique For Facility Layout Optimization. Automation in Construction. Vol.17. Issue. 6. Pages 657–669.
17. Mohamed A. Ahmed , Talal M. Alkhamis (2009). Simulation Optimization For an Emergency Department Healthcare Unit in Kuwait. European Journal of Operational Research.Vol. 198. Pages. 936–942.
18. Qiang Su, Xiaoyun Yao, Ping Su, Jinghua Shi, Yan Zhu and Lei Xue (2010). Hospital Registration Process Reengineering Using Simulation Method, Journal of Healthcare Engineering. Vol. 1. Issue. 1. Pages. 67–82.
19. M. Motaghi, A . Hamzenejad, L. Riyahi, M. Soheili Kashani (2011). Optimization of Hospital Layout through the Application of Heuristic Techniques (Diamond Algorithm) in Shafa Hospital. Int. J. Manag. Bus. Res. Vol. 1. Issue. 3. Pages. 133-138.
20. Mohammed Assem , Bassem K. Ouda , Manal Abdel Wahed (2012). Improving Operating Theatre Design Using Facilities Layout Planning. Biomedical Engineering Conference. Pages.109-113.
21. Ines Arnolds, Stefan Nickel, Sara Shashaani, Christian Wernz (2012). Using Simulation In Hospital Layout Planning. Proceedings of the 2012 Winter Simulation Conference.
22. Min-Yuan Cheng, Li-Chuan Lien (2012). A Hybrid AI-Based Particle Bee Algorithm For Facility Layout Optimization. Engineering with Computers. Vol. 28. Pages. 57–69.
23. Hsin-Yun Lee (2012), Integrating Simulation and Ant Colony Optimization to Improve the Service Facility Layout in a Station. Journal Of Computing In Civil Engineering. Vol. 26. Issue. 2. Pages. 259-269.
24. Ibrahim Cil (2012). A Data Mining Software Design And Application For Association Rule Technique. Expert Systems with Applications. Vol. 39. Pages. 8611–8625.
25. Tuncay Ozcan and Sakir Esnaf (2013). A Discrete Constrained Optimization Using Genetic Algorithms for A Bookstore Layout. International Journal of Computational Intelligence Systems. Vol.6. Issue. 2. Pages. 261-278.
26. Ibrahim H. Osman,Omar Elbeqqali,Abdelahad Chraibi, Said Kharraja (2015). Optimization of Dynamic Operating Theatre Facility Layout. 6th IESM Conference.
27. Teng-Kuan Wang, Taho Yang and Chih-Yao Yang (2015). Lean Principles And Simulation Optimization For Emergency Department Layout Design. Industrial Management & Data Systems. Vol. 115. Issue. 4. Pages. 678-699.
28. Qing-Lian Lin, Hu-Chen Liu, Duo-Jin Wang, Long Liu (2013). Integrating Systematic Layout Planning With Fuzzy Constraint Theory To Design And Optimize The Facility Layout For Operating Theatre in Hospitals. Journal of Intelligent Manufacturing. Vol. 26. Issue. 1. Pages. 87-95.
29. Abdelahad Chraibi, Said Kharraja, Ibrahim H. Osman And Omar Elbeqqali (2016). A Particle Swarm Algorithm for Solving the Multi-objective Operating Theater Layout Problem. IFAC-Papers Online. Vol. 49. Issue.12. Pages.1169–1174.
30. J. Han and M. Kamber (2001). Data Mining Concepts and Techniques. Morgan Kaufmann Publishers.
31. A. Bernstein, F. Provost, S. Hill (2005). Toward Intelligent Assistance for a Data Mining Process: An Ontology-Based Approach for Cost-Sensitive Classification. IEEE Transactions on Knowledge and Data Engineering. Vol. 17. Issue. 4.
32. Celementine (2002), Users Guide, 45.
33. T. Hastie, R. Tibshirani, J. Friedman (2001). The Elements of Statistical Learning; Data Mining, Inference And Prediction. Springer Series in Statistics. 533. USA.
34. Ning Zhong, Lizhu Zhou (1999). Methodologies for Knowledge Discovery and Data Mining. Third Pacific-Asia Conference, PAKDD'99. China,
35. C. Bishop (1996). Neural Networks for Pattern Recognition, Oxford Univ Press.
36. K. Sabanci and M. Akkaya (2016). Classification of Different Wheat Varieties by Using Data Mining Algorithms. International Journal of Intelligent Systems and Applications in Engineering. Vol.4. Issue. 2. Pages. 40-44.
37. T. Mitchell (1997). Machine Learning. McGraw-Hill.
38. E.K. Aydoğan, C.Gencer, S. Akbulut (2008). Churn Analysis And Customer Segmentation Of A Cosmetics Brand Using Data Mining Techniques. Journal of Engineering and Natural Sciences. Vol.26. Issue. 1.
39. P. Smyth and M. Goodman (1992). An information theoretic approach to rule induction from databases. IEEE Transactions on Knowledge and Data Engineering.Vol.4.
40. M. J. Zaki (1999). Parallel and Distributed Association Mining: A Survey. IEEE Concurrency. Vol. 7. Issue. 5. Pages. 14-25.
41. L.R. Foulds, H. W. Hamacher, J. M. Wilson (1998). Integer Programming Approaches to Facilities Layout Models with Forbidden Areas. Annals of Operations Research. Vol. 81. 405-417.
42. M. Kokoç, A.Aktepe, S.Ersöz, A.K. Türker (2016). A Model Proposal for Improving the Efficiency of Facility Layout in Emergency Service in Faculty of Medicine 3th International Conference on Advanced Technology & Sciences Proceedings.Pages.416-420.