References
- 1. Axsäter, S. (2006) Inventory control. 2nd Edition. International Series in Operations Research & Management Science. Springer Science & Business Media.
- 2. Ballou, R.H. (2004) Business Logistics: Supply Chain Management. New Jersey: Pearson Education, Inс.
- 3. Bowersox, D.J., Closs, D.J. (1996) Logistical Management. The Integrated Supply Chain Process. New York: McGraw-Hill Companies, Inc.
- 4. Caggiano, K.E., Jackson, P.L., Muskstadt, J.A., Rappold, J.A. (2009) Efficient computation of timebased customer service levels in a multi-item, multiechelon supply chain: A practical approach for inventory optimization. European Journal of Operational Research, Vol. 199, no.3, pp. 744-749.
- 5. Christopher, M. (2004) Logistics and Supply Chain Management. Strategies for Reducing Cost and Improving Service. 2nd Edition. New Jersey: Prentice Hal, Inc.
- 6. Fahimnia, B., Luong, L., Marian, R. (2008) An integrated model for the optimization of a twoechelon supply network. Journal of Achievements in Materials and Manufacturing Engineering. Vol. 31, issue 2, Desember, 477-484.
- 7. Giannakis, M., Croom, S.R. (2004) Toward the Development of a Supply Chain Management Paradigm: A Conceptual Framework. The Journal of Supply Chain Management. Spring. P.27-37.
- 8. Gumus, A.T., Guneri, A.F. (2009) A multi-echelon inventory management framework for stochastic and fuzzy supply chains. Expert Systems with Applications, Vol. 36, no. 3, pp.5565-5575.
- 9. Guo, C., Li, X.P. (2014) A multi-echelon inventory system with supplier selection and order allocation under stochastic demand. International Journal of Production Economics, Vol. 151, pp.37-47.
- 10. Harris, F. (1913) How many parts to make at once. The Magazine of Management. Vol.10 (2), P. 135-136, 152. (Operation Research Society of America. 1990).
- 11. Kent, J.L. (Jr.), Flint, D.J. (1997) Perspectives on the evolution of logistics thought. Journal of Business Logistics. Vol.18, No.2. P.15-29.
- 12. Kovách, G., Spens, K.M. (2007) Logistics Theory Building. ICFAI Journal of Supply Chain Management, Vol.IV, No.4, pp.7-27.
- 13. Lai, X., Chen, Z., Giri, B., Chiu, C.-H. (2014) Two-Echelon Inventory Optimization for Imperfect Production System under Quality Competition Environment. Mathematical Problems in Engineerung. Hindawi Publishing Corporation. Vol. 2015, Article ID 326919, 11 pages. http://dx.doi.org\10.1155\2015\326919.
- 14. Larson, P.D., Poist, R.S., Halldórsson, Á. (2007) Perspectives on Logistics vs. SCM: A Survey of SCM Professionals. Journal of Business Logistics. Vol.28, No.1, pp.1-24.
- 15. Lukinskiy, V.S., Lukinskiy, V.V., Malevich, J.V., Plastuniak, I.A., Pletneva, N.G. (2012) Models and methods of the logistics theory. St.Petersburg: SPbSUEE. 404 p.
- 16. Lukinskiy, V.S., Lukinskiy, V.V., Shulzhenko, T.G. (2017) Logistic systems efficiency increase based on the supply chains integration. In: Procedia Engineering 178. Proceedings of the 16th International Conference “Reliability and Statistics in Transportation and Communication” (RelStat’16), 19-22 October 2016, Riga, Latvia, pp. 117-122. DOI: 10.1016/j.proeng.2017.01.07310.1016/j.proeng.2017.01.073
- 17. Pal, B., Sana, S.S., Chaudhuri, K. (2014) Optimal Pricing and Ordering Policy for Two Echelon Varying Production Inventory System. Journal of Industrial Engineering. Hindawi Publishing Corporation. Vol. 2014, Article ID 429836, 11 pages. - http://dx.doi.org\10.1155\2014\429836
- 18. Smith, M.A., Dekker, R. (1997) On the (S-1, S) Stock Model for Renewal Demand Processes. Probability in the Engineering and Informational Sciences, 11, pp.375-386.
- 19. Stock, J.R., Lambert, D.M. (2001) Strategic Logistics Management. 4th ed. Boston: McGraw-Hill Irwin.
- 20. Yang, M.F., Lin, Y. (2010) Applying the linear particle swarm optimization to a serial multi-echelon inventory model. Expert Systems with Applications, Vol. 37, no. 3, pp.2599-2608.
- 21. Yoo, Y.J., Kim, W.S., Rhee, J.T. (1997) Efficient inventory management in multi-echelon distribution systems. Computers & Industrial Engineering, Vol. 33, no. 3, pp.729-732.