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Cited by 328

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Implementing lean production systems: research areas and opportunities for future studies

Marodin, Giuliano Almeida, Saurin, Tarcisio Abreu·2013·International Journal of Production Research

Abstract

The increasing use of lean production (LP) by companies from several sectors has substantially increased the amount of publications and different emphases on the subject, which amplifies the need for organisation of that knowledge. This article aims to identify the research areas on LP implementation and to propose research opportunities. The literature review was based on 102 studies published in the years between 1996 and 2012. The studies were divided into six research areas, named: (a) structure and scope of LP systems; (b) factors that influence in the LP implementation; (c) methods for implementing LP systems; (d) LP assessment methods; (e) results of implementing LP systems; and (f) adaptation of LP to particular sectors. The findings suggested that the substantial increase on the amount of publications on LP implementation has created fragmented and dissociated areas that would benefit from integration.

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Metadata

Authors
Marodin, G. A., & Saurin, T. A.
Venue
International Journal of Production Research
Published
2013-08-12
Volume
51
Issue
22
Pages
6663-6680
ISSN
  • 0020-7543 (ISSN-L)
  • 1366-588X
OpenAlex
W1972017400
Cited by
328
References
4
FWCI
37.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Implementing lean production systems: research areas and opportunities for future studies. https://app.cochat.ai/papers/10.1080/00207543.2013.826831
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Marodin, G. A., & Saurin, T. A. (2013). Implementing lean production systems: research areas and opportunities for future studies. International Journal of Production Research. https://doi.org/10.1080/00207543.2013.826831

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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.