Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study)
Science Research
Volume 5, Issue 1, February 2017, Pages: 1-5
Received: Oct. 31, 2016; Accepted: Feb. 9, 2017; Published: Mar. 4, 2017
Views 1953      Downloads 111
Author
Andrii Halkin, Department of Transport Systems and Logistics, O. M. Beketov National University of Urban Economy in Kharkiv, Kharkv, Ukraine
Article Tools
Follow on us
Abstract
The optimal order quantity is the one of the main logistics tasks that takes place in modern theory and practice. Variety of consumers with its own demand and irregularity of consumption during the year exponentially increase number and times of calculation of economic order quantity. These complicate the EOQ decisions. At the same time, variation of the costs throw this process complicate this tacks exponentially. Using regression model for describe order cost and holding cost per unit simply calculations and consider its variability character.
Keywords
Decision, Order, Effectiveness, Logistics, Variable, Logistics, Model
To cite this article
Andrii Halkin, Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study), Science Research. Vol. 5, No. 1, 2017, pp. 1-5. doi: 10.11648/j.sr.20170501.11
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
[1]
Altintas, N.; Erhun, F.; Tayur, S. (2008) Quantity Discounts Under Demand Uncertainty. Management Science. 54 (4): 777–792. doi:10.1287/mnsc.1070.0829.
[2]
Wilson, R. H. (1943) A Scientific Routine for Stock Control. Harvard Business Review. (13): 116—128.
[3]
Mirotin L. B. & Tashbayev I. E. (2002) Systemic analysis in logistics. Moscow: Examination Publishing.
[4]
Halavan L. (2007) Criteria logistics efficiency. Journal of Distribution and Logistics. 4 (11): p. 8–14.
[5]
Tayur, S. (2000). Improving Operations and Quoting Accurate Lead Times in a Laminate Plant. Interfaces. 30 (5), p. 1–15.
[6]
Zipkin P. H. (2000) Foundations of Inventory Management, Boston: McGraw Hill, ISBN 0-256-11379-3
[7]
Malakooti, B. (2013) Operations and Production Systems with Multiple Objectives. John Wiley & Sons.
[8]
Stevenson W. (2009) Operations Management. 10th ed. – 581.
[9]
Harvey M. Wagner and Thomson M. Whitin (1958) Dynamic version of the economic lot size model / Management Science, Vol. 5, p. 89–96.
[10]
Caplin, A., & Leahy, J. (2010). Economic Theory and the World of Practice: A Celebration of the (S, s) Model. The Journal of Economic Perspectives, 24(1), p.183-202.
[11]
Trippi, R. and Lewin, D. (1974) A Present Value Formulation of the Classical Economic Order Quantity Problem, Decision Sciences, 5(1), p. 30-35. URL: http://www.sigma-research.com/misc/A%20Present%20Value%20Formulation%20of%20the%20Classical%20EOQ%20Problem.htm
[12]
Adesso Solutions. 2005. A double-edged sword. Bus. Credit 107 (9), p. 56–59.
[13]
Davidich Yu. O. (2010). Rozrobka grafіka Ruhu the agriculture zasobіv at organіzatsії vantazhnih transported. Kharkiv: KhUMG. – 346 p.
[14]
Monk, E. & Wagner, B. (2006) Concepts in Enterprise Resource Planning. Canada: Thomson Course Technology.
[15]
Erhun, F., & Tayur, S. (2003). Enterprise-wide optimization of total landed cost at a grocery retailer. Operations Research, 51(3), 343-353.
[16]
Galkin A. Kush Y., Dolya V. (2014) Several logistics chains transportation services approach by single transport company. Journal L' Association 1901 “SEPIKE”. № 4. p. 86-90.
[17]
Rushton, A., Croucher, P. and Baker, P. (2010). The handbook of logistics & distribution management. London: Kogan Page.
[18]
Grigorov, М., Gavrilov, E., Grigorova, Т. & Dolya, V. (2006), Prediction of the design characteristics of the design and operation of highways: Monograph. Naddnepryanochka, Kherson, Ukraine.
[19]
Ronald H. Ballou, Srivastava S. (2007) Business Logistics: Supply Chain Management. Pearson Education
[20]
Johnson, J. and Johnson, J. (1999), Contemporary logistics. Upper Saddle River, NJ: Prentice Hall.
[21]
Filina-Dawidowicz, L., & Postan, M. (2016). Optimal inventory control for perishable items under additional cost for deterioration reduction. LogForum, 12.
[22]
Litomin, I., Tolmachov, I., & Galkin, A. (2016). Use of the Distribution Center in the Ukrainian Distribution System. Transportation Research Procedia, 16, p. 313-322.
[23]
Vakulenko K., Galkin A., Kush Ev., Prunenko D., Bibik N. Dolia V., (2016) Logistics approach to working capital management / Logistyka I jakość. Procesy doskonalące zarządzenie: Monografia // Lublin: Wydział Ekonomiczny Uniwersytetu Marii Curie-Skłodowskiej. – p. 442-455.
[24]
Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A., & Diabat, A. (2013). Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain. Journal of Cleaner Production, 47, 355-367.
[25]
Qin, Z., & Kar, S. (2013). Single-period inventory problem under uncertain environment. Applied Mathematics and Computation, 219(18), p. 9630-9638.
[26]
Sarkar, B., & Moon, I. (2014). Improved quality, setup cost reduction, and variable backorder costs in an imperfect production process. International Journal of Production Economics, 155, p. 204-213.
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186