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ZENODO
Part of book or chapter of book . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Part of book or chapter of book . 2026
License: CC BY
Data sources: Datacite
ZENODO
Part of book or chapter of book . 2026
License: CC BY
Data sources: Datacite
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Lean Supply Chain Management in the Automobile Industry: Empirical Evidence on Efficiency, Waste Reduction & Operational Performance

Authors: Harsh Soni; Prof. Sandeep Anand;

Lean Supply Chain Management in the Automobile Industry: Empirical Evidence on Efficiency, Waste Reduction & Operational Performance

Abstract

Abstract: The automobile industry today faces constant pressure to reduce costs, improve efficiency, and respond quickly to changing customer demands. In such a competitive environment, Lean Supply Chain Management has emerged as an effective approach for automobile manufacturers to improve performance and maintain sustainability. This chapter examines the role of Lean Supply Chain Management in enhancing operational efficiency within the automobile sector. The study is based on both primary and secondary research. Insights were collected from fifty industry professionals through a survey, along with an extensive review of existing literature on lean practices in supply chain management. The focus was on understanding how lean tools such as Just-in-Time (JIT) and Kaizen influence cost reduction, product quality, lead time, and customer satisfaction. Keywords: supply chain, automobile industry, Just-, in-Time, Kaizen, operational efficiency regression analysis.

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    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).
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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green