A compositional technique of task solution of trade stock that loses natural properties

Authors

DOI:

https://doi.org/10.15587/2312-8372.2015.47906

Keywords:

optimization, simulation, stocks, limitation, punitive function

Abstract

The mathematical models of the problem of task of trade stock that lose their natural properties, taking into account complex factors, are given in the article. Parametric identification of the given models is complex, non-trivial process that requires the use of a method that does not depend on the choice of starting point and does not require verification of additional restrictions on the characteristics of the objective function.

It is proposed a composite method of direct optimization adapted to the task solution of trade stock that loses natural properties, taking into account complex factors. The algorithm of its implementation in search space of possible solutions is investigated. The aspects of program implementation of the method are considered. The experimental verification of models is done. The experiments show that the best results are obtained within a reasonable time are obtained in the case of developed punitive function compared with adaptive and fuzzy punitive functions, due to their focus on simulation of fuzzy variables.

Author Biography

Ольга В’ячеславівна Єгорова, Cherkasy State Technological University, Shevchenko str., 460 Cherkasy, Ukraine, 18006

Assistant

Department of information technologies design

References

  1. Chung, K. J., Liao, J. J. (2004). Lot-sizing decisions under trade credit depending on the ordering quantity. Computers & Operation Research, Vol. 31, № 6, 909–928. doi:10.1016/s0305-0548(03)00043-1
  2. Sharma, A., Goel, R., Dua, N. K. (2012). Optimal policy for EOQ model with two level of trade credits in one replenishment cycle. American Journal of Operations Research, Vol. 2, № 1, 51–58. doi:10.4236/ajor.2012.21006
  3. Shah, N. H., Raykundaliya, N. (2009). Optimal inventory policies for Weibull deterioration under trade credit in declining market. Indus Journal of Managment & Social Sciences, Vol. 3, № 2, 11–20.
  4. Hou, K. L., Lin, L. C. (2009). A cash flow oriented EOQ model with deteriorating items under permissible delay in payments. Journal of Applied Sciences, Vol. 9, № 9, 1791–1794. doi:10.3923/jas.2009.1791.1794
  5. Rajeswari, N., Vanjikkodi, T. (2012). An inventory model for items with two parameter Weibull distribution deterioration and backlogging. American Journal of Operations Research, Vol. 2, № 2, 247–252. doi:10.4236/ajor.2012.22029
  6. Tripathy, C. K., Pradhan, L. M. (2012). An EOQ model for three parameter Weibull deterioration with permissible delay in payments and associated salvage value. International Journal of Industrial Engineering Computations, Vol. 3, № 2, 115–122. doi:10.5267/j.ijiec.2011.07.004
  7. Hsu, J.-T., Hsu, L.-F. (2013). Two EPQ models with imperfect production processes, inspection errors, planned backorders, and sales returns. Computers & Industrial Engineering, Vol. 64, № 1, 389–402. doi:10.1016/j.cie.2012.10.005
  8. Yegorova, O. (2014). Fuzzy expected value model with inspection errors and two level of trade credit in one replenishment cycle. Information Models and Analyses, Vol. 3, № 1, 37–52.
  9. Yegorova, O., Snytyuk, V. (2015). Multidimensional compositional overcoming uncertainty technology. In Proceedings of the International Conference Computational Intelligence (Results, Problems and Perspectives), May 12–15, 2015, Kyiv-Cherkasy. Cherkasy: editor July Chabanenko, 68–69.
  10. Yegorova, O., Pasishnyy, I. (2014). Fuzzy constraint handling technique used with genetic algorithms to optimize order quantity. Eastern-European Journal of Enterprise Technologies, 5(4(71)), 63–67. doi:10.15587/1729-4061.2014.27915

Downloads

Published

2015-07-23

How to Cite

Єгорова, О. В. (2015). A compositional technique of task solution of trade stock that loses natural properties. Technology Audit and Production Reserves, 4(2(24), 29–34. https://doi.org/10.15587/2312-8372.2015.47906

Issue

Vol. 4 No. 2(24) (2015): Information technologies. Information and control systems

Section

Information Technologies: Original Research

License

Copyright (c) 2016 Ольга В’ячеславівна Єгорова

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.