Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study)

Andrii Halkin

doi:doi:10.11648/j.sr.20170501.11

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Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study)

Andrii Halkin

Published in Science Research (Volume 5, Issue 1)

Received: 31 October 2016 Accepted: 9 February 2017 Published: 4 March 2017

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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.

Published in	Science Research (Volume 5, Issue 1)
DOI	10.11648/j.sr.20170501.11
Page(s)	1-5
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Decision, Order, Effectiveness, Logistics, Variable, Logistics, Model

References

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Andrii Halkin. (2017). Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study). Science Research, 5(1), 1-5. https://doi.org/10.11648/j.sr.20170501.11

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ACS Style

Andrii Halkin. Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study). Sci. Res. 2017, 5(1), 1-5. doi: 10.11648/j.sr.20170501.11

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AMA Style

Andrii Halkin. Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study). Sci Res. 2017;5(1):1-5. doi: 10.11648/j.sr.20170501.11

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@article{10.11648/j.sr.20170501.11,
  author = {Andrii Halkin},
  title = {Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study)},
  journal = {Science Research},
  volume = {5},
  number = {1},
  pages = {1-5},
  doi = {10.11648/j.sr.20170501.11},
  url = {https://doi.org/10.11648/j.sr.20170501.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20170501.11},
  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.},
 year = {2017}
}

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TY  - JOUR
T1  - Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study)
AU  - Andrii Halkin
Y1  - 2017/03/04
PY  - 2017
N1  - https://doi.org/10.11648/j.sr.20170501.11
DO  - 10.11648/j.sr.20170501.11
T2  - Science Research
JF  - Science Research
JO  - Science Research
SP  - 1
EP  - 5
PB  - Science Publishing Group
SN  - 2329-0927
UR  - https://doi.org/10.11648/j.sr.20170501.11
AB  - 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.
VL  - 5
IS  - 1
ER  -

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Author Information

Andrii Halkin

Department of Transport Systems and Logistics, O. M. Beketov National University of Urban Economy in Kharkiv, Kharkv, Ukraine

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APA Style

Andrii Halkin. (2017). Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study). Science Research, 5(1), 1-5. https://doi.org/10.11648/j.sr.20170501.11

Copy | Download

ACS Style

Andrii Halkin. Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study). Sci. Res. 2017, 5(1), 1-5. doi: 10.11648/j.sr.20170501.11

Copy | Download

AMA Style

Andrii Halkin. Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study). Sci Res. 2017;5(1):1-5. doi: 10.11648/j.sr.20170501.11

Copy | Download

@article{10.11648/j.sr.20170501.11,
  author = {Andrii Halkin},
  title = {Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study)},
  journal = {Science Research},
  volume = {5},
  number = {1},
  pages = {1-5},
  doi = {10.11648/j.sr.20170501.11},
  url = {https://doi.org/10.11648/j.sr.20170501.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20170501.11},
  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.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study)
AU  - Andrii Halkin
Y1  - 2017/03/04
PY  - 2017
N1  - https://doi.org/10.11648/j.sr.20170501.11
DO  - 10.11648/j.sr.20170501.11
T2  - Science Research
JF  - Science Research
JO  - Science Research
SP  - 1
EP  - 5
PB  - Science Publishing Group
SN  - 2329-0927
UR  - https://doi.org/10.11648/j.sr.20170501.11
AB  - 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.
VL  - 5
IS  - 1
ER  -

Copy | Download