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Lean, agile, resilient and green: divergencies and synergies
Abstract
Purpose: This paper aims to explore the divergences and commitments between the lean, agile, resilient and green paradigms while investigating the effect of paradigms' practices within supply chain attributes. Design/methodology/approach: A conceptual model with lean, agile, resilient and green practices and supply chain management attributes is proposed. Causal diagrams were used to represent the relationships between paradigm practices and supply chain attributes. The four diagrams were aggregated to build the conceptual model. Findings: The conceptual model allows for the identification of synergies and divergences resulting from the paradigms practices implementation. The synergies between paradigms are related to “information frequency” and “integration level” increasing as well as reduction of “production lead time” and “transportation lead time”. However, other supply chain attributes such as “capacity surplus”, “inventory level” and “replenishment frequency” are affected in opposite directions by some paradigms creating divergences. Research limitations/implications: The model relationships were established using an anecdotal approach derived from the literature review, reflecting only a partial view of supply chain dynamics. More research related to other supply chain attributes and/or paradigm practices, and validation of the proposed relationships is suggested. Practical implications: The proposed model can be the basis for further research in lean, agile, resilient and green paradigms, contributing to a more sustainable and competitive lean supply chain with the necessary agility toward a quick response, resiliency to disruptions, and harmonization with the ecologic and environmental aspects. Originality/value: To the authors' knowledge this paper is the first to provide an understanding about the tradeoffs among lean, agile, resilient and green supply chain paradigms.
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Citations
Cited by
Impact of supply chain management practices on sustainability
Govindan, K., Azevedo, S. G., Carvalho, H., & Cruz-Machado, V. (2014) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2014.05.068 · Cited by 351
Self-citationSupply chain resilience: a systematic literature review and typological framework
Kochan, C. G., & Nowicki, D. R. (2018) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/ijpdlm-02-2017-0099 · Cited by 319
Sustainable manufacturing. Bibliometrics and content analysis
Bhatt, Y., Ghuman, K., & Dhir, A. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.120988 · Cited by 303
The effect of lean methods and tools on the environmental performance of manufacturing organisations
Garza-Reyes, J. A., Kumar, V., Chaikittisilp, S., & Tan, K. H. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2018.03.030 · Cited by 277
“(2014) and Carvalho et al. (2011) mention that some of the waste reduction objectives of lean are”
BackgroundMethodGreen lean and the need for Six Sigma
Garza-Reyes, J. A. (2015) · International Journal of Lean Six Sigma · doi:10.1108/ijlss-04-2014-0010 · Cited by 272
Metadata
- Authors
- Carvalho, H., Duarte, S., & Cruz Machado, V.
- Venue
- International Journal of Lean Six Sigma
- Publisher
- Emerald
- Published
- 2011-05-31
- Volume
- 2
- Issue
- 2
- Pages
- 151-179
- ISSN
- 2040-4166 (ISSN-L)
- OpenAlex
- W2052856415
- Cited by
- 376
- References
- 0
- FWCI
- 16.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- Carvalho, H., Duarte, S., & Cruz Machado, V. (2011). Lean, agile, resilient and green: divergencies and synergies. International Journal of Lean Six Sigma. https://doi.org/10.1108/20401461111135037
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.