Evaluation of Operating Room Scheduling Processes by Analytic Network Process Method

Yıl 2022, , 633 - 641, 01.06.2022

Şeyda Gür , Tamer Eren

https://doi.org/10.2339/politeknik.770463

Öz

Multiple performance criteria should be evaluated together in the operating room schedules. Therefore, the operating room scheduling problem is a complex and difficult problem. As a result, it is very difficult to get the best solution, even high-quality solutions, at a reasonable time. For this reason, the evaluation of the criteria that are effective in the scheduling and planning process of the operating room has been discussed. In this study, the analytical network process method which is one of multi-criteria decision-making methods has been used. Because this method considers the interaction of the criteria with each other and their relationships and dependencies. There are 24 sub-criteria under the 7 main criteria related to surgeons, operating room schedules, operating room resources, equipment and consumables, operating room staff, patients and other factors. The network structure of these criteria is created with the analytical network process method. Then, the significance levels of the criteria have been calculated. From the results obtained, the criteria for surgeons among the main criteria is in the foreground. The results show that resources in operating rooms should be used effectively. Therefore, it is necessary to pay attention to use resources effectively in the operating room scheduling processes.

Anahtar Kelimeler

Operating room scheduling, multi-criteria decision making, analytic networking process, operating room

Ameliyathane Çizelgeleme Süreçlerinin Analitik Ağ Süreci Yöntemi ile Değerlendirilmesi

Öz

Ameliyathane çizelgeleme süreçleri birden çok performans kriteri birlikte değerlendirilmelidir. Bu nedenle ameliyathane çizelgeleme problemi karmaşık ve zor bir problemdir. Sonuç olarak, makul bir zamanda en iyi çözümü, hatta yüksek kaliteli çözümleri elde etmek çok zordur. Bu nedenle ameliyathanenin çizelgeleme ve planlama sürecinde etkili olan kriterlerin değerlendirilmesi ele alınmıştır. Bu çalışmada, çok ölçütlü karar verme yöntemlerinden biri olan analitik ağ süreci yöntemi kullanılmıştır. Bu yöntem, kriterlerin birbirleriyle etkileşimini ve bunların ilişkilerini ve bağımlılıklarını dikkate almaktadır. Cerrah, ameliyathane programları, ameliyathane kaynakları, ekipman ve sarf malzemeleri, ameliyathane personeli, hastalar ve diğer faktörlerle ilgili 7 ana kriter altında 24 alt kriter bulunmaktadır. Bu kriterlerin ağ yapısı, analitik ağ süreci yöntemi ile oluşturulmuştur. Daha sonra kriterlerin önem dereceleri hesaplanmıştır. Elde edilen sonuçlardan ana kriterler arasında cerrah kriteri ön plana çıkmıştır. Sonuçlar ameliyathanelerdeki kaynakların etkin kullanılması gerektiğini göstermektedir. Bu nedenle ameliyathane planlama süreçlerinde kaynakların etkin kullanılmasına özen gösterilmesi gerekmektedir.

Anahtar Kelimeler

Ameliyathane çizelgeleme, çok ölçütlü karar verme, analitik ağ süreci

Kaynakça

• [1] Gür, Ş., Eren, T. “Application of Operational Research Techniques in Operating Room Scheduling Problems: Literature Overview.” Journal of Healthcare Engineering, (2018). [2] Pinedo, M., Planning and Scheduling in Manufacturing and Services. Springer, New York, (2005).
• [3] Çivril, H., Genetic algorithms for nurse scheduling problems, Master Thesis. Süleyman Demirel University, Isparta, (2009).
• [4] Rothstein, D. H., & Raval, M. V. “Operating Room Efficiency. In Seminars in Pediatric Surgery”, WB Saunders, 27, 2, 79-85, (2018).
• [5] Basson MD, Butler T. “Evaluation of Operating Room Suite Efficiency in the Veterans Health Administration System by Using Data-Envelopment Analysis.” The American journal of surgery, 192(5):649-656, (2006).
• [6] Jebali A, Alouane ABH, Ladet P. “Operating Rooms Scheduling.” International Journal of Production Economics, 99(1):52-62, (2006).
• [7] Lin QL, Liu L, Liu HC, Wang DJ. “Integrating Hierarchical Balanced Scorecard with Fuzzy Linguistic for Evaluating Operating Room Performance in Hospitals.” Expert Systems with Applications, 40(6):1917-1924, (2013).
• [8] Hamilton, D. M., Breslawski, S. “Operating Room Scheduling.” AORN Journal, 59(3), 665-668, (1994).
• [9] Gür, Ş., Uslu, B., Eren, T., Akca, N., Yilmaz, A., & Sönmez, S. “Evaluation of Operating Room Performance in Hospitals by Using Analytic Network Process.” Gazi Journal of Health Sciences, 3(3), 10-25, (2018).
• [10] Van Oostrum, J. M., Bredenhoff, E., & Hans, E. W. “Suitability and Managerial Implications of a Master Surgical Scheduling Approach.” Annals of Operations Research, 178(1), 91-104, (2010).
• [11] Hanset, A., Meskens, N., & Duvivier, D. “Using Constraint Programming to Schedule an Operating Theatre.” in Health Care Management (WHCM), IEEE Workshop On. (2010).
• [12] Saaty, T. L., The Analytic Network Process, RWS Publications, Pittsburg, PA, (1996).
• [13] Karabacak, G., Munition selection with AHP and ANP, Master Thesis. Ataturk University, Erzurum, (2012).
• [14] Büyükyazıcı, M., Analytic network process, Master Thesis. Hacettepe University, Ankara, (2000).
• [15] Karamahmutoğlu, Y., Analytic network process and applied to Turkish insurance sector. Master Thesis, Marmara University Banking and Insurance Institute, Istanbul, (2010).
• [16] Özder, E. H., Integration of analytic network process and goal programming methods in supplier selection: A case study. Master Thesis. Kırıkkale University, Kırıkkale, (2015).
• [17] Saaty, T. L. Analytic hierarchy process. In Encyclopedia of operations research and management science (pp. 52-64). Springer, Boston, MA, (2013).
• [18] Saaty, T. L. The Analytic network process: decision making with dependence and feedback, RWS Publ, (1996).
• [19] Saaty, T. L. Theory and applications of the analytic network process: decision making with benefits, opportunities, costs, and risks. RWS publications, (2005).
• [20] Gür Ş., Hamurcu M., Eren T., “Using Analytic Network Process and Goal Programming Methods for Project Selection in the Public Institution” Les Cahiers du MECAS, 13, 36-51, (2016).
• [21] Hamurcu M., Gür Ş., Özder E.H., Eren T., “A Multicriteria Decision Making for Monorail Projects with Analytic Network Process and 0-1 Goal Programming”, International Journal of Advances in Electronics and Computer Science, 3 (7), 8-12, (2016).
• [22] Gül, E., Eren, T., “Warehouse Selection with Analytic Hierarchy Process Method and Goal Programming in Logistic Distribution Network Problems”, Harran University Journal of Engineering, 2, 1, 1-13, (2017).
• [23] Beğik, M., Hamurcu, M., Eren, T., “An Application of ABC Analysis and Analytic Network Process at the Stock Control in Heat Tools Company”, Kırıkkale University Journal of Social Sciences, 7 (1), 197-216, (2017).
• [24] Görgülü İ., Korkmaz M., Eren T., “Optimal investment strategy selection with analytical network process and TOPSIS methods”, Sigma Engineering and Science Journal, 31 (2), 203-213, (2013).
• [25] Özcan, E.C., Ünlüsoy, S., Eren, T., “Evaluation of the Renewable Energy Investments in Turkey Using ANP and TOPSIS Methods”, Selcuk University Journal of Engineering, Science and Technology, 5 (2), 204-219, (2017).
• [26] Bedir N., Özder E.H., Eren T., “ANP-PROMETHEE Methods for Food Sector Third Party Logistics Company Selection ", 5th National Logistics and Supply Chain Congress, 512-519, Mersin, 26-28 Mayıs (2016).
• [27] Özder E.H., Bedir N., Eren T., “Academic Staff Selection with ANP & PROMETHEE Method: A Case Study In Turkey” International Academic Conference on Engineering, Technology and Innovations (IACETI), Dubai, UAE, March 5th, (2016).
• [28] Gür, Ş., Bedir, N., Eren, T., “Selection of Marketing Strategies with Analytical Network Process and PROMETHE Method for Medium Sized Business in Food Sector”, Nevsehir Journal of Science and Technology, 6:1, 79-92, (2017).
• [29] Özcan, E.C., Özcan, N.A., Eren, T., “Selection of the Solar Power Plants with CSP Technologies by Combined ANP-PROMETHEE Approach”, Başkent University, Journal of Commercial Sciences, 1 (1), 18-44, (2017).
• [30] Bağ N., Özdemir M., Eren T., “Solving A 0-1 Goal Programming and ANP Methods with Nurse Scheduling Problem” International Journal of Engineering Research and Development, 4 (1), 2-6, (2012).
• [31] Hamurcu M., Eren T., “Decision Making for Rail System Projects with AHP-GP and ANP-GP”, Journal of Gazi Engineering Sciences, 3(3): 1-13, (2017).