Identification of Appropriate Methods for Allocation Tasks of Logistics Objects in a Certain Area

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F14%3A00000397" target="_blank" >RIV/75081431:_____/14:00000397 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Identification of Appropriate Methods for Allocation Tasks of Logistics Objects in a Certain Area

Original language description

This paper aims at identification of appropriate multi-criteria analysis methods for allocation tasks of logistics objects in a certain area. The given type of tasks (allocation tasks) can be seen as a decision problem; for this type of task the multi-criteria analysis methods is used. The first part of this paper presents a brief introduction to the given issue. The second part of the paper includes characteristics of the general procedure for multi-criteria evaluation of the variants. The third part includes an overview of utilized methods for determining criteria weightings and methods of selection of the most suitable variant. The forth part presents the summary of the described methods, identification of appropriate methods for a given type of task and a model example for determination of criteria weightings.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JO - Land transport systems and equipment

OECD FORD branch

—

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Nase More

ISSN

0469-6255

e-ISSN

—

Volume of the periodical

vol. 61

Issue of the periodical within the volume

1-2

Country of publishing house

HR - CROATIA

Number of pages

6

Pages from-to

1-6

UT code for WoS article

—

EID of the result in the Scopus database

—