The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Quantifying benefits of conversion to lean manufacturing with discrete event simulation: A case study
Abstract
Simulation is used to assist in the decision to implement lean manufacturing principles at an existing assembly operation. Models are developed for the existing assembly system, as well as for a new system (of similar capacity), that employ these principles. In addition to the manufacturing processes, the associated warehousing, inventory management, transportation, and production control/scheduling systems are included in the model to enable the quantification of lean manufacturing's impact on the total system. Simulation experiments measure each system's resource requirements and performance, thereby quantifying benefits to be derived from applying the shop-floor principles of lean manufacturing.
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Citations
Cites
Lean Thinking—Banish Waste and Create Wealth in your Corporation
Womack, J. P., & Jones, D. T. (1997) · Journal of the Operational Research Society · doi:10.1057/palgrave.jors.2600967 · Cited by 2,122
Cited by
Abdulmalek, F. A., & Rajgopal, J. (2007) · International Journal of Production Economics · doi:10.1016/j.ijpe.2006.09.009 · Cited by 1,046
Four decades of lean: a systematic literature review
Stone, K. B. (2012) · International Journal of Lean Six Sigma · doi:10.1108/20401461211243702 · Cited by 393
Doolen, T. L., & Hacker, M. E. (2005) · Journal of Manufacturing Systems · doi:10.1016/s0278-6125(05)80007-x · Cited by 347
Lean manufacturing performance in Indian manufacturing plants
Ghosh, M. (2012) · Journal of Manufacturing Technology Management · doi:10.1108/17410381311287517 · Cited by 201
Parthanadee, P., & Buddhakulsomsiri, J. (2014) · Production Planning & Control · doi:10.1080/09537287.2012.702866 · Cited by 61
Metadata
- Authors
- Detty, R. B., & Yingling, J. C.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2000-01
- Volume
- 38
- Issue
- 2
- Pages
- 429-445
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W2128140068
- Cited by
- 274
- References
- 1
- FWCI
- 3.56
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
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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.