Cited by 6Quality and Supply ManagementManagement and Optimization TechniquesDigital Transformation in Industry

Empirical Modeling of Lean Adoption in Small to Medium Size Manufacturers

McLeod, Alister A., Stephens, Matthew P., McWilliams, Douglas L.·2016·Journal of Advanced Manufacturing Systems

Abstract

The practice of lean production has been documented in detail by production and operations management specialists world-wide [B. B. Flynn, S. Sakakibara, R. G. Schroeder, K. A. Bates and E. J. Flynn, Empirical research methods in operations management, Journal of Operations Management 9(2) (1990) 250–284]. Theoretically, on the other hand, there has been little research that define and quantify what it means to be a lean manufacturer. A typological definition of what it means to be lean has in part been resolved by a model initially developed by Shah and Ward [Defining and developing measures of lean production, Journal of Operations Management 25(4) (2007) 785–805]. This definition was used to determine the underlying concepts of lean production in small to medium size manufacturers (SMMs). While most of the factors found in the Shah and Ward [Defining and developing measures of lean production, Journal of Operations Management 25(4) (2007) 785–805] study remained valid, the model developed for SMMs displayed some new factors.

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Authors
McLeod, A. A., Stephens, M. P., & McWilliams, D. L.
Affiliations
  • Indiana State University (US)
  • Purdue University West Lafayette (US)
  • Jackson State University (US)
Venue
Journal of Advanced Manufacturing Systems
Published
2016-09-22
Volume
15
Issue
04
Pages
173-188
ISSN
  • 0219-6867 (ISSN-L)
  • 1793-6896
OpenAlex
W2521386166
Cited by
6
References
27
Citations by year
2025: 1 · 2023: 2 · 2022: 1 · 2021: 1 · 2019: 1
FWCI
0.60
Type
journal article
Language
en
Open access
closed
Locations
Journal of Advanced Manufacturing Systems (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Management and Optimization Techniques
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Keywords
lean manufacturing, lean adoption, empirical modeling, manufacturing companies

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