Application of Soft Computing Methods in Inventory Management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F14%3APU109259" target="_blank" >RIV/00216305:26510/14:PU109259 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application of Soft Computing Methods in Inventory Management
Original language description
The paper aims to demonstrate ways in which the theory of soft computing can be applied to business operations, specifically to the supply chain management. It is an attempt to show how selected methods of soft computing (fuzzy logic, artificial neural networks and genetic algorithms) can be successfully utilized for the issue of inventory management and lot-sizing problem with outstanding results. In this paper it is proved that according to up-to-date researches, soft computing is a suitable method for application to inventory management optimization with many opportunities for future research.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
1st international scientific concerence "Practice and research in private public sector-11"
ISSN
2029-7378
e-ISSN
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Volume of the periodical
14
Issue of the periodical within the volume
4
Country of publishing house
LT - LITHUANIA
Number of pages
7
Pages from-to
200-206
UT code for WoS article
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EID of the result in the Scopus database
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