Sustainable eco-design for fixture index mechanism in crankshaft speed sensor assembly line

The purpose of this article is to examine the relationship of sustainable manufacturing process and sustainability performance, which considers the environmental, economic, and social aspects. Sustainable manufacturing considering ecological system and corrosion properties has attracted interest in...

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Bibliographic Details
Main Authors: Chelliah Subharaj, Uthirapathi Natarajan, Xevier Hyacinth Suganthi
Format: Article
Language:English
Published: SAGE Publishing 2019-07-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814019852785
Description
Summary:The purpose of this article is to examine the relationship of sustainable manufacturing process and sustainability performance, which considers the environmental, economic, and social aspects. Sustainable manufacturing considering ecological system and corrosion properties has attracted interest in gaining deep insights into the application of daily business operations. Currently, there is an internal pressure in the firms to reduce the costs of production, increase the product quantity with quality, minimize the defects and reliability as well as facilitate faster and flexible delivery. In addition, these firms attempt to seek to satisfy end users and improve operational efficiency. Market pressure, society’s demand for environmental-friendly process, and regulatory compliance are mostly discussed as additional pressure to the green operations initiative in the automotive firms. In this article, an existing model was designed using the computer-aided design software and the results were analyzed to fill research gaps in the effects of the eco-system on environmental and operational performance. This study provides new research opportunities for developing models in building simulation-based design of eco-efficient systems. Finally, the article suggests that the operations should apply parsimony principles of ecosystem measurements to foresee the imminent organizational outcome to enlighten industry counterparts with guidance to enhance further robust statistical modeling and construct development.
ISSN:1687-8140