Development of a weighted leanness measurement method in modular construction companies
Article
Article Title | Development of a weighted leanness measurement method in modular construction companies |
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ERA Journal ID | 210900 |
Article Category | Article |
Authors | Shams Bidhendi, Saba (Author), Goh, Steven (Author) and Wandel, Andrew (Author) |
Journal Title | Journal of Industrial Engineering International |
Journal Citation | 15 (4), pp. 603-625 |
Number of Pages | 23 |
Year | 2019 |
Place of Publication | Germany |
ISSN | 1735-5702 |
2251-712X | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s40092-019-0313-y |
Web Address (URL) | https://link.springer.com/article/10.1007/s40092-019-0313-y |
Abstract | This paper outlines the development of an improved approach to the use of lean tools and techniques to improve the performance of manufacturing enterprises. Several research studies attempt to measure the overall leanness score of the manufacturing process; however, they failed to consider the interdependent relationships between lean performance metrics and considered all performance measures to be equally important during analysis. This paper proposes the weighted leanness assessment methodology to further extend the most recent developed leanness assessment model. The developed methodology in this research provides an integrated leanness score of the production process which considers the interrelationships between different performance metrics due to competing for business and operational strategies. The fuzzy-based analytic network process approach is used to measure and allocate relative importance weightings to each performance metric. The result from the proposed methodology in this research provides a more accurate overall leanness score by prioritising different performance measures according to the manufacturer’s needs. A case study was conducted to illustrate the effectiveness and validity of the proposed model and methodologies. |
Keywords | lean manufacturing, lean strategies, leanness assessment tools, fuzzy logic, analytical network process |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 401799. Mechanical engineering not elsewhere classified |
400504. Construction engineering | |
401408. Manufacturing processes and technologies (excl. textiles) | |
401407. Manufacturing management | |
401006. Systems engineering | |
Byline Affiliations | School of Mechanical and Electrical Engineering |
Department of Mechanical and Mechatronic Engineering | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5376/development-of-a-weighted-leanness-measurement-method-in-modular-construction-companies
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Journal of Industrial Engineering International 2019 published.pdf | ||
License: CC BY 4.0 | ||
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