Hemşire Çizelgelemesinde Esnek Vardiya Planlaması ve Hastane Uygulaması

ÖzMüşteri tatmininin her geçen gün daha da zorlaştığı hizmet sektörlerinde, işverenler sunulan hizmetin kalitesini arttırmak ve hizmetin devamlılığını sağlamak için yeni arayışlar içine girmekteler. İşverenler, müşteriden önce hizmeti sunan kişilerin memnuniyetini sağlayarak rekabet gücünü arttırma yollarına başvurmaktadırlar. Bu yollardan biri de çalışma sürelerinin esnekleştirilmesidir. Bu çalışmada, hizmet sektörleri arasında önemli bir yere sahip olan hastanelerde ki hemşire çizelgeleme problemi için tam sayılı matematiksel bir model oluşturulmuştur. Oluşturulan modelde, klasik çizelgeleme modellerinin aksine hemşirelerin işe başlama saatlerine esneklik getirilmiştir. Modelin başlıca amacı, hemşirelerin kendi tercihlerine göre haftalık çizelgelerinin oluşturulmasıdır. Oluşturulan model, gerçek veriler kullanılarak bir üniversite hastanesinin genel cerrahi bölümünde denenmiştir. Modelin, %99,6 oranında hemşire tercihlerini yerine getirdiği görülmektedir.Anahtar Kelimeler: Esnek Çalışma Saatleri, Hemşire Çizelgelemesi, Matematiksel Model, Tam Sayılı Programlama.

Anahtar Kelimeler:

Esnek Çalışma Saatleri, Hemşire Çizelgelemesi, Matematiksel

Flexible Shift Planning in Nurse Scheduling and an Application of the Hospital

AbstractIn the service industry, customer satisfaction becomes more difficult with each passing day, employers have looked for new paradigms and ways to make service quality better and to keep service facilities reliable. Therefore, with the purpose of increasing their competitive power, employers give more importance to their employees who have direct relation with customers than they do to their customer. One of the new paradigms is make working hours flexible. In this study, an integer programming model is proposed for the nurse scheduling problem in the hospitals which are one of the most important service industries. On the contrary of classical nurse scheduling model, developed model has made flexible to starting time. The main aim of the model is make a schedule for nurses according to their preferences. The developed model is applied on a surgery department of one university hospital with real data. According to results, model can satisfy 99,6% of the nurses with their schedule based on their preferences.Keywords: Flexible Working Hours, Nurse Scheduling, Mathematical Model, Integer Programming.

Keywords:

Flexible Working Hours, Nurse Scheduling, Mathematical Model,

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Aickelin, U. ve White, P. (2004). Building better nurse scheduling algorithms. Annuals of Operation Research, 128 (1-4): 159-177.
Aykin, T. (2000). A comparative evaluation of modeling approaches to the labor shift scheduling problem. European Journal of Operational Research, 125 (2): 381-397.
Aykin, T. (1996). Optimal shift scheduling with multiple break windows. Management Science, 42 (4): 591-602.
Azaiez, M. N. ve Sharif, S. S. (2005). A 0-1 goal programming model for nurse scheduling. Computers & Operations Research, 32 (3): 491-507.
Bailey, J. (1985). Integrated days off and shift personnel scheduling. Computers and Industrial Engineering, 9 (4): 395-404.
Baker, K. R., Burns, R. N. ve Carter, M. W. (1980). Staff scheduling with day-off and workstretch constraints. AIIE Transaction. 11 (4): 286-292.
Baker, K. R. (1985). Workforce allocation in cyclical scheduling problems: A survey. Operation Research, 5 (3): 327-337.
Baker, K. (1974). Scheduling a full time workforce to meet cyclic staffing requirements. Management Science, 20 (12): 1561-1569.
Bechtold, S. E ve Jacobs, L. W. (1990). Implicit modeling of flexible break assignments in optimal shift scheduling. Management Science, 36 (11): 1339-1351.
Brownell, W. S. ve Lowerre, J. M. (1976). Scheduling of workforces required in continuous operations under alternate labour policies. Management Science, 22 (5): 597-605.
Brunner, J. O, Bard, J. F. ve Kolisch, R. (2010). Midterm scheduling of physicians with flexible shifts using branch and price. IIE Transactions, 43 (2), 84-109.
Brusco, M. J. ve Jacobs. L. W. (1993). A simulated annealing approach to the cyclic staff scheduling problem. Naval Research of Logistics, 40 (1): 69-84.
Burke, E. K, De-Causmaecker, P., Vanden, B. G. ve Van, L. H. (2004). The state of the art of nurse rostering. Journal of Scheduling, 7 (6): 441–449.
Burns, R. N. (1978). Manpower scheduling with variable demands and alternate weekends off. Informs, 16 (2): 101-112.
Burns, R. N. ve Carter, M. W. (1985). Work force size and single shift schedules with variable demands. Management Science, 31 (5): 599-607.
Carter, M. W. ve Lapierre, S. D. (2001). Scheduling emergency room physicians. Health Care Management Science, 4 (4): 347-360.
Easton, F. F. (2011). Cross-training performance in flexible labor scheduling environments, IIE Transactions, 43 (8): 589-603.
Ferland, J. A., Berrada, I. ve Imene, N. (2001). Generalized assignment type goal programming problem: application to nurse scheduling. Journal of Heuristics, 7 (4): 391-413.
Gaballa, A. ve Pearce, W. (1979). Telephone sales manpower planning at qantas. Interfaces, 9 (3): 1-9.
Howell, J. P. (1966). Cyclical scheduling of nursing personnel. Hospital J.A.H.A., 40 (2): 77-85.
Ikegami, A. N. (2003). A sub-problem centric model and approach to the nurse scheduling problem. Mathematical Programming Series B, 97: 517–541.
Jlassi, J., Chabchoub, H. ve El-Mhamedi, A. (2011). “A Combined AHP-GP Model for Nurse Scheduling” 4 th International Conference on Logistics, May 31-June3, Hammamet.
Maier-Rothe, C. ve Wolfe, H. B. (1973). Cycle scheduling and allocation of nursing staff. Socio-Economic Planning Sciences, 7 (5): 471-487.
Meglino, B. M. (1979). A methodology for nurse staffing. ABI/INFORM Global, 21 (3): 82-93.
Miller, H. E., Pierskalla, W. P. ve Rath, G. J. (1976). Nurse scheduling using mathematical programming. Operations Research, 24 (5): 857-870.
Morrish, A. R.ve O’Connor, A. R. (1970). Cyclic scheduling. The Journal of Nursing Administration, 1 (5): 49-54.
Özkarahan, İ. ve Bailey, J. E. (1988). Goal programming model subsytem of a flexible nurse scheduling support system. IIE Transactions, 20 (3): 306-316.
Rothstein, M. (1973). Hospital manpower shift scheduling by mathematical programming. Health Service Research of Journal, 8 (1): 60-66.
Seçkiner, S. U. ve Kurt, M. (2005). Bütünleşik tur-rotasyon çizelgeleme yaklaşımı ile işyükü minimizasyonu. Journal Faculty of Engineering of Architecht of Gazi University, 20 (2): 161-169.
Sowalter, M. J. ve Mabert, V. A. (1988). An evaluation of a full/part time tour scheduling methodology. International Operation and Production Management, 8 (7): 54-71.
Taylor, P. E. ve Huxley, J. (1989). A break from tradition for the sanfrancisco police: patrol officer scheduling using an optimization based decision support system. Interfaces, 19 (1): 4-24.
Thompson, G. M. (1996). Optimal scheduling of shifts and breaks using employees haing limited time availability. International Journal of Service Industry Management, 7 (1): 56-73.
Thompson, G. M. (1990). Shift scheduling in services when employees have limited availability: an l.p. approach. Journal of Operation Mnagement, 9 (3): 352-370.
Topaloğlu, Ş. ve Özkarahan, İ. (2004). An implicit goal programming model for the tour scheduling problem considering the employee work preferences. Annuals of Operations Research, 128 (1-4): 135-158.
Tsai, C. C. ve Li, S. H. A. (2009). A two stage modeling with genetic algorithms for the nurse scheduling problem. Expert Sytems with Applications, 36 (5): 9506-9512.
Valouxis, C. ve Housos, E. (2000). Hybrid optimization techniques for the work shift and rest assignment of nursing personnel. Artificial Intelligence, 20 (2): 155-175.
Warner, D. M. (1976). Scheduling nursing personnel according to nursing preference: A mathematical programming approach. Operations. Ressearch, 24 (5): 842-856.
Wolfe, H. ve Young, J. P. (1965). Staffing the nursing unit: Part II. Nursing Research, 4 (14): 299-303.