Jagmeet Singh and Harwinder Singh
This paper aims to apply lean manufacturing using value stream mapping (VSM) in the manufacturing organization (automotive suspension and fastening components section). To…
Abstract
Purpose
This paper aims to apply lean manufacturing using value stream mapping (VSM) in the manufacturing organization (automotive suspension and fastening components section). To validate the VSM approach, simulation has been done.
Design/methodology/approach
VSM approach has been used to implement lean stages in the U-bolt section. Current state map was prepared and future state map has been implemented. Further, simulation has been done to compare current state and future state maps.
Findings
It has been found that there is 87.59% reduction in cycle time (C/T), 76.47% reduction in work-in-process (WIP) inventory, 95.41% reduction in production lead time, 66.08% increase in value added (VA) ratio, 95.78% reduction in non-value added (NVA) time, 57.14% reduction in the number of operators and 70.67% reduction in change over (C/O) time for the U-bolt section. Simulated and VSM of current and future state has observed error of 5 s.
Research limitations/implications
This study is based on automotive manufacturing industry situated in northern part of India. The outcome of this study is applicable only to the selected product of the manufacturing company.
Originality/value
This paper deals with case study part which reflects the true picture of implementation of Lean manufacturing (LM) tools in the organization.
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Canada's federal political outlook.
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DOI: 10.1108/OXAN-DB225610
ISSN: 2633-304X
Keywords
Geographic
Topical
Andrew Scheer’s Conservatives increased their number of seats and won the popular vote, but the non-proportional voting system prevents them winning government. Jagmeet Singh’s…
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DOI: 10.1108/OXAN-DB247297
ISSN: 2633-304X
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Geographic
Topical
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DOI: 10.1108/OXAN-DB224248
ISSN: 2633-304X
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DOI: 10.1108/OXAN-DB289473
ISSN: 2633-304X
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DOI: 10.1108/OXAN-DB292158
ISSN: 2633-304X
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DOI: 10.1108/OXAN-DB285185
ISSN: 2633-304X
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Geographic
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