Evaluating the Efficiency of Lean Management Projects Using Data Envelopment Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F18%3A00004676" target="_blank" >RIV/46747885:24310/18:00004676 - isvavai.cz</a>

Result on the web

<a href="http://www.mmscience.eu/2017112" target="_blank" >http://www.mmscience.eu/2017112</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17973/mmsj.2018_03_2017112" target="_blank" >10.17973/mmsj.2018_03_2017112</a>

Result language

angličtina

Original language name

Evaluating the Efficiency of Lean Management Projects Using Data Envelopment Analysis

Original language description

This paper describes approach to evaluate and compare efficiency of lean management projects, using a set of techniques known as Data Envelopment Analysis. DEA is a non-parametric linear programming method used to the efficiency evaluation of decision making units. Lean methods have been widely used as a tool for improving operational performance and also have been successfully implemented in many manufacturing and non-manufacturing organizations. This paper aims to develop a mathematical model to evaluate the efficiency of lean management projects. Paper provides the identification of important inputs and outputs for projects that are then analysed using DEA. Working with planned indicators values, this model helps to identify one or more projects that result in the maximum benefit to the organization. Using the real indicators values after implementation of a project, it can help to determine how the project was successful as compared with similar implemented projects.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20301 - Mechanical engineering

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

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

Name of the periodical

MM Science Journal

ISSN

1805-0476

e-ISSN

—

Volume of the periodical

11

Issue of the periodical within the volume

March

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

7

Pages from-to

2306-2312

UT code for WoS article

000532565900032

EID of the result in the Scopus database

2-s2.0-85043361068