Lean, green and resilient practices influence on supply chain performance

Nowadays, companies are struggling to find an appropriate supply chain strategy to achieve competitiveness. Among the available strategies lean, green and resilient are considered as a new management strategies for the supply chain management to achieve competitiveness. The major issues with theses...

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Bibliographic Details
Main Author: Govindan, K. (author)
Other Authors: Azevedo, S. G. (author), Carvalho, Helena Maria Lourenço (author), Machado, Virgílio António Cruz (author)
Format: article
Language:eng
Published: 2017
Subjects:
Online Access:https://doi.org/10.1007/s13762-013-0409-7
Country:Portugal
Oai:oai:run.unl.pt:10362/20791
Description
Summary:Nowadays, companies are struggling to find an appropriate supply chain strategy to achieve competitiveness. Among the available strategies lean, green and resilient are considered as a new management strategies for the supply chain management to achieve competitiveness. The major issues with theses strategies are the integration and identification of critical issues related to the strategies. This paper aims to identify the critical lean, green and resilient practices on which top management should focus in order to improve the performance of automotive supply chains. The systematic analysis of the lean, green and resilient practices is expected to be of great value for their effective implementation by the automotive companies. The interpretive structural modeling approach is used as a useful methodology to identify inter-relationships among lean, green and resilient practices and supply chain performance and to classify them according to their driving or dependence power. According to this research, the practices with the main driving power are just-in-time (lean practice), flexible transportation (resilient practice) and environmentally friendly packaging (green practice). Customer satisfaction is the performance measure with strong dependence and weak driving power; that is, it is strongly influenced by the other researched variables but does not affect them.