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Asian Journal of Research in Social Sciences and Humanities
Year : 2016, Volume : 6, Issue : 5
First page : ( 327) Last page : ( 339)
Online ISSN : 2249-7315.
Article DOI : 10.5958/2249-7315.2016.00119.2

An Investigation and Statistical Analysis for Ranking of Lean Wastes in Garment Manufacturing Scenario

Kumar G. Vijaya*, Robinson Y.**

*Department of Mechanical Engineering, RVS Technical Campus, Coimbatore, Tamilnadu, India

**Director, RVS Faculty of Engineering, RVS Technical Campus, Coimbatore, Tamilnadu, India

Online published on 3 May, 2016.

Abstract

All garments manufacturing industry has put in nonstop efforts for its survival in the modern volatile economy. Lean manufacturing in the garment industry has a growing importance so that it is able to withstand its competitiveness in today market. Consequence of that situation, garment industries are trying to implement innovative techniques in their garment production. Generally eight types of wastages occurs in all types of companies such as over production for manufacturing outputs for which there are no orders, unneeded transport for carrying work in process long distance, inappropriate processing for unwanted steps to processing the items, waiting for operators spend time for attaining tools, surplus inventory for excess raw materials and completed items, defect for scrap, repair and unwanted check, unnecessary movement for moving and underutilisation of people for listening to work of employees is a waste of time. The questionnaire is framed in consultations with senior production manager and chief executives of garment industries who are actively involved in their manufacturing. Some questionnaires are also issued and data gathered from employees and ranking of lean wastes occurs in garment manufacturing firms by using statistical package for social science. The survey stating that three types of waste arising out of eight waste which seriously affect the garment manufacturing.

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Keywords

Lean Wastes; Garments Manufacturing firms; Ranking; Survey; Statistical analysis.

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