Detail publikačního výsledku

The Application of Functions of Several Variables Analysis in an Optimal Replenishment Policy for Deteriorating Items

NOVOTNÁ, V.; VARYŠOVÁ, T.

Originální název

The Application of Functions of Several Variables Analysis in an Optimal Replenishment Policy for Deteriorating Items

Anglický název

The Application of Functions of Several Variables Analysis in an Optimal Replenishment Policy for Deteriorating Items

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

In this study we introduce a newly constructed suitable model which enables a retailer to set an optimal price of deteriorating goods under permissible delay in payments, and to determine the maximum repayment term.

Anglický abstrakt

In this study we introduce a newly constructed suitable model which enables a retailer to set an optimal price of deteriorating goods under permissible delay in payments, and to determine the maximum repayment term.

Klíčová slova

inventory management, EOQ model, deteriorating goods, multivariable functions;

Klíčová slova v angličtině

inventory management, EOQ model, deteriorating goods, multivariable functions;

Autoři

NOVOTNÁ, V.; VARYŠOVÁ, T.

Rok RIV

2016

Vydáno

15.07.2015

Nakladatel

Elsevier

Místo

London

ISBN

9781510809680

Kniha

2ND GLOBAL CONFERENCE ON BUSINESS, ECONOMICS, MANAGEMENT AND TOURISM

ISSN

2212-5671

Periodikum

Procedia economics and finance

Svazek

2015

Číslo

23

Stát

Nizozemsko

Strany od

1217

Strany do

1226

Strany počet

10

URL

Plný text v Digitální knihovně

BibTex

@inproceedings{BUT115317,
  author="Veronika {Novotná} and Tereza {Šustrová}",
  title="The Application of Functions of Several Variables Analysis in an Optimal Replenishment Policy for Deteriorating Items",
  booktitle="2ND GLOBAL CONFERENCE ON BUSINESS, ECONOMICS, MANAGEMENT AND TOURISM",
  year="2015",
  journal="Procedia economics and finance",
  volume="2015",
  number="23",
  pages="1217--1226",
  publisher="Elsevier",
  address="London",
  doi="10.1016/S2212-5671(15)00535-3",
  isbn="9781510809680",
  url="https://www.sciencedirect.com/science/article/pii/S2212567115005353"
}

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