Productivity Improvement by Lean Manufacturing an Automobile Industry with the Help of Method Study

Ganesh Patidar; Jitendra Mandloi

Productivity Improvement by Lean Manufacturing an Automobile Industry with the Help of Method Study

Ganesh Patidar *

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Jitendra Mandloi

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Productivity Improvement by Lean Manufacturing an Automobile Industry with the Help of Method Study

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Abstract

In assembly line design, the problem of balancing has received most attention from past researchers, and a number of algorithms have been devised for the analysis of single, multiand mixed-product assembly lines. In many cases, such algorithms seek a solution for the particular situation, which is under consideration and therefore have very little flexibility for generic application to assembly line design. Real life practical design issues include stochastic operation times, parallel workstation requirements, feasibility for workstation combining, and parallel line implementations, all of which are features which are ignored in many analyses.

References

15 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ganesh Patidar, Jitendra Mandloi. 2014. "Productivity Improvement by Lean Manufacturing an Automobile Industry with the Help of Method Study". Global Journal of Research in Engineering - G: Industrial Engineering GJRE-G Volume 14 (GJRE Volume 14 Issue G4).

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GJRE Volume 14 Issue G4

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

Lean manufacturing Material method study time study

Classification

GJRE-G Classification FOR Code: 290502

Submission ReceivedDecember 10, 2013
Peer Review Double Blind
Handling Editor
Accepted January 4, 2014
Published October 17, 2014

Version of record

v1.2

Issue date

October 17, 2014

Language

English

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Research in Engineering - G: Industrial Engineering

Authors: Jitendra Mandloi, Mr. Abhishek Yadav (PhD/Dr. count: 0)

View Count (all-time): 448

Total Views (Real + Logic): 1706

Total Downloads (simulated): 137

Publish Date: 2014 01, Wed

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Total Views: 1.7K

Total Downloads: 137

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