Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters

Kokangül, Ali; KHANIYEV, Tahir; GÜLDEŞ, Meral; AKCAN, SERAP

Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters

Serap AKCAN, (Department of Industrial Engineering, University of Aksaray, 68100, Aksaray, Turkey)

Tahir KHANIYEV, (Department of Industrial Engineering, TOBB University of Economics and Technology, 06560, Ankara, Turkey)

Ali KOKANGÜL, (Department of Industrial Engineering, University of Cukurova, 01330, Adana, Turkey)

Meral GÜLDEŞ (Department of Industrial Engineering, University of Cukurova, 01330, Adana, Turkey)

Celal Bayar Üniversitesi Fen Bilimleri Dergisi

0 0

Yıl: 2017 Cilt: 13 Sayı: 2 Sayfa Aralığı: 393 - 399 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters

Öz:

The patients demand is vital in healthcare area. Thus, to determine safety stock level is also significant. But, determining safety stock level in inventory systems based on stochastic lead-time is a much smaller section of literature especially in healthcare area. Therefore, this study aimed to contribute to the literature in this area. This study is investigated for calculating the expected value and variance of demand for determining safety stock level under random parameters (the number of arrivals, transferal rates between levels and length of stays). The lead-time required when supplying medical material in the hospital is also random. A case study is presented using with the real data obtained from Neonatal Intensive Care Unit which has a complex inventory system because of the random parameters and transferal probabilities between levels

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

[1] Louly, MA. and Dolgui, A. Calculating safety stocks for assembly systems with random component procurement lead times: A branch and bound algorithm. European Journal of Operation Research. 2009; 199, 723- 731.
[2] Silver, EA. and Zufferey, N. Inventory control of raw materials under stochastic and seasonal lead times. International Journal of Production Research. 2005; 43, 5161- 5179.
[3] Kelle, P. and Silver, EA. Safety stock reduction by order splitting. Naval Research Logistics. 1990; 37, 725- 743.
[4] Lambrecht, MR. and Vandaele, NJ. A general approximation for the single product lot sizing model with queuing delays. European Journal of Operation Research. 1996; 95, 73- 88.
[5] Hung, YF. and Chang, CH. Determining safety stocks for production planning in uncertain manufacturing. International Journal of Production Economics. 1999; 58, 199- 208.
[6] Alstrom, P. Numerical computation of inventory policies, based on the EOQ/ value for order-point systems. International Journal of Production Economics. 2001; 71. 235- 245.
[7] Persona, A., Catena, M., Ferrari, E. and Manzini, R. Quantitative models for evaluating safety stocks in case of modular products. In : 17th International Conference on Production Research (ICPR 17th), 3-7 August 2003, Blacksburg, Virginia, USA. 2003.
[8] Persona, A., Battini, D., Manzini, R. and Pareschi, A. Optimal safety stock levels of subessemblies and manufacturing components. International Journal of Production Economics. 2007; 110, 147- 159.
[9] Desmet, B., Aghezzaf, EH. and Vanmaele, H. A normal approximation model for safety stock optimization in a two echelon distribuation system. Journal of the Operational Research Society. 2010; 61 (1): 156- 163.
[10] Krajewski, LJ.. and Ritzman, LP. Operations Management: Strategy and Analysis. Addison-Wesley Publishing Company: New York, (1996).
[11] Kowalski, JC. . CEO’s and CFO’s Express Concern about Materials Management. Healthcare Financial Management. 1998; 56- 60.
[12] Feller, W. (1971). An Introduction to Probability Theory and its Applications. J Wiley: New York.
[13] Ross, SM. Applied Probability Models with Optimization Applications. Dover Publications: New York, 1992.
[14] Tijms, HC. A First Course in Stochastic Models. John Wiley and Sons Ltd: England, 2003.
[15] Akcan, S. and Kokangul, A. A new approximation for inventory control system with decision variable lead-time and stochastic demand. International Journal of Industrial Engineering 2013; 20 (3-4): 262-272.
[16] Kokangul, A, Ozkan, A., Akcan, S., Ozcan, K. and Narli, M. Statistical Analysis of Patients’ Characteristics in Neonatal Intensive Care Units. Journal of Medical Systems 2010; 34 (4): 471-478.

APA	AKCAN S, KHANIYEV T, Kokangül A, GÜLDEŞ M (2017). Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters. , 393 - 399.
Chicago	AKCAN SERAP,KHANIYEV Tahir,Kokangül Ali,GÜLDEŞ Meral Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters. (2017): 393 - 399.
MLA	AKCAN SERAP,KHANIYEV Tahir,Kokangül Ali,GÜLDEŞ Meral Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters. , 2017, ss.393 - 399.
AMA	AKCAN S,KHANIYEV T,Kokangül A,GÜLDEŞ M Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters. . 2017; 393 - 399.
Vancouver	AKCAN S,KHANIYEV T,Kokangül A,GÜLDEŞ M Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters. . 2017; 393 - 399.
IEEE	AKCAN S,KHANIYEV T,Kokangül A,GÜLDEŞ M "Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters." , ss.393 - 399, 2017.
ISNAD	AKCAN, SERAP vd. "Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters". (2017), 393-399.

APA	AKCAN S, KHANIYEV T, Kokangül A, GÜLDEŞ M (2017). Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, 13(2), 393 - 399.
Chicago	AKCAN SERAP,KHANIYEV Tahir,Kokangül Ali,GÜLDEŞ Meral Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters. Celal Bayar Üniversitesi Fen Bilimleri Dergisi 13, no.2 (2017): 393 - 399.
MLA	AKCAN SERAP,KHANIYEV Tahir,Kokangül Ali,GÜLDEŞ Meral Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, vol.13, no.2, 2017, ss.393 - 399.
AMA	AKCAN S,KHANIYEV T,Kokangül A,GÜLDEŞ M Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters. Celal Bayar Üniversitesi Fen Bilimleri Dergisi. 2017; 13(2): 393 - 399.
Vancouver	AKCAN S,KHANIYEV T,Kokangül A,GÜLDEŞ M Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters. Celal Bayar Üniversitesi Fen Bilimleri Dergisi. 2017; 13(2): 393 - 399.
IEEE	AKCAN S,KHANIYEV T,Kokangül A,GÜLDEŞ M "Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters." Celal Bayar Üniversitesi Fen Bilimleri Dergisi, 13, ss.393 - 399, 2017.
ISNAD	AKCAN, SERAP vd. "Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters". Celal Bayar Üniversitesi Fen Bilimleri Dergisi 13/2 (2017), 393-399.