DURAĞAN OLMAYAN TALEP VARSAYIMI ALTINDA "TEDARİK DÖNEMİ" POLİTİKASININ MALİYET PERFORMANSI ÜZERİNE BİR İNCELEME

Year 2006, Volume: 61 Issue: 4, 103 - 119, 06.02.2015

Mehmet Can Ayşegül Taş

Abstract

Bu çalışmada envanter yönetiminin temel politikalarından olan "min-max" (s,S) ve "tedarik dönemi" (R,S) politikaları durağan olmayan talep varsayımı altında maliyet performansı bakımından karşılaştırılmıştır. Envanter literatüründe "min-max" politikasının optimal çözüm verdiği gösterilmiştir. Bu çerçevede çalışmanın temel katkısı "tedarik dönemi" politikasının en iyi çözüme olan yakınlığının belirlenmesi yönündedir. Durağan olmayan talep durumu için her iki politika parametrelerinin hesaplanmasına ilişkin yöntemler incelenmiş ve maliyet performansı karşılaştırması geniş bir hipotetik deney seti üzerinde gerçekleştirilmiştir. Test sonuçları "tedarik dönemi" yaklaşımının özellikle düşük sipariş maliyeti altında "min-max" politikasına çok yakın sonuçlar verdiğini göstermiştir.

Keywords

Envanter kontrolü, stokastik talep, durağan olmayan, (s, S) politikası, (R, S) politikası

References

• BLACKBURN, D. Joseph/ KROPP, H. Dean / MILLEN Robert (1986), "A Comparison of Strategies to Dampen Nervousness in MRP Systems," Management Science, 32: 413-429.
• BERRY, William (1972), "Lot Sizing Procedures for Requirements Planning Systems: A Framework for Analysis," Produetion and fnventory Management, 2: 19-34.
• BOLLAPRAGADA, Srinivas/ MORTAN, Thomas (1999), "A Simple Heuristic for Computing Nonstationary (s,S) Policies," Operations Research, 47: 576-584.
• BOOKBINDER, James / TAN, Jin-Yan (1988), "Strategies for the Probabilistic Lot-sizing Pproblem with Service-level Constraints," Management Science, 34: 1096-11 08.
• CH/KAN, Attila (1990), Inventory Models (London: Springer).
• DE KOK, Ton / INDERFURTH, Karl (1997), "Nervousness in Inventory Management: Comparison of Bbasic Control Rules," European Journal of Operational Research, 103: 55-82.
• EHRHARDT, Richard (1979) "The Power Approximation for Computing (s, S) Inventory Policies," • Management Science, XXV, 8:777-786.
• HARRIS, F.W. (1915), "Operation and Cost," Faetory Management Series, 48-52.
• HEISIG, Gerald (2001), "Comparison of (s,S) and (s,nQ) Inventory Control Rules with Respect to Planning Stability," International Journalaf Production Economics, 73:59-82.
• INDEFURTH, Karl (1994), "Nervousness in Inventory Control," OR Spectrum, 16:113-123.
• NADDOR, Eliezer (1966), Inventory Systems (New York: John Wiley & Sons).
• SCARF, Herbert (1960), "The Optimality of (s,S) Policies in the Dynamic Inventory Problem," ARROW, K.J. / KARLIN, S. /SUPPES, P. (eds.), Mathematical Methods in the Social Sciences 1959 (Stanford: Stanford University Press:196-202.
• SILVER, A. Edward / MEAL, H.C. (1973), "A Heuristic for Selecting Lot Size Requirements for the Case of a Deterministic Time-Varying Demand Rate and Discrete Opportunities for Replenishment," Production and Inventory Management, XIV, 2:64:74.
• SILVER, Edward (1978), "Inventory Control Under a Probabilistic Time Varying, Demand Pattern," A/lE Transactions, 371-379.
• SIPPER, Daniel / BULFIN, Robert L. (1997), Production Planning, Control and Integration (USA: McGraw-HilI).
• TAHA, A. Hamdy (1987) Operations Research an Introduction (New York: Mac MilIen Publishing Company, Fourth Edition).
• TARIM, S. Armagan / KINGSMAN, G. Brian (2004), "The Sstochastic Dynamic Production/lnventory Lot-sizing Problem with Services-level Constraints," International Journal of Production Economics, 88:105-119.
• TARIM, S. Armagan / KINGSMAN, G. Brian (2005), "Modeling and Computing (R", S") Policies for Inventory Systems with Non-stationary Stochastic Demand," European Journal of Operational Research, accepted for publication.
• ZHENG, Yu-Sheng / FEDERGRUEN,A. (1991), Finding Optimal (s, S) Policies is About as Simple as Evaiuating a Single Policy," Operations Research, XXXIX, 4:654-665.