<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Improving Productivity in the Manufacturing Industry by using Industrial Engineering Tools and techniques

descriptionPublicationkeyboard_double_arrow_right Article 15 Jun 2020Publisher:Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESPJournal:International Journal of Management and Humanities, volume 4, pages 58-60 (eissn: 2394-0913,

Authors: Ashwini Dongre; Archana Bhange; Abhilasha Dhamdhere; Venugopal Kulkarni;

doi: 10.35940/ijmh.j0951.0641020

Improving Productivity in the Manufacturing Industry by using Industrial Engineering Tools and techniques

- Summary
- Subjects
- Metrics

Abstract

Planning and designing of manufacturing processes and material handling equipment are effective, helps to achieve maximum productivity through maximum utilization of the available resources. This paper aims to study the implementations of industrial engineering tools in the manufacturing industry. At the same time, the observations by visiting the industry were made to identify the problems, so that we can make possible improvements. Time study and Layout study techniques helps us to identify and rectify the time lost in unnecessary and unproductive travelling movements of labor and tools. After observing the problems The proposed layout was suggested and Some easy and time effective material handling equipment were suggested. Which helps to increase productivity.

Keywords

Method study, Plant layout, Facility Planning, Material Handling Equipment, Productivity.

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average