article · Proceedings of the ... ISARC · 1988
Construction Bar Code Standards
George Stukhart, Stephen L. Pearce
Cited by 11Abstract and details only
Abstract
Construction Bar Code Standards George Stukhart, Stephen L. Pearce Pages 361-370 (1988 Proceedings of the 5th ISARC, Tokyo, Japan, ISSN 2413-5844) Abstract: Automatic identification systems, particularly bar codes, are an essential link in achieving automated construction materials management system. There is a significant future in bar coding, as is evident in other industries. The opportunity to promote data transfer between organizations and companies has not been adequately explored. By following the research and procedures of other industries, it is possible to achieve such standardization. Texas A&M University has completed the first phase of research to determine strategies for achieving standardization. This research, and the background to bar code use, is discussed in the paper. Keywords: No keywords DOI: https://doi.org/10.22260/ISARC1988/0044 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
Cite this paper
Stukhart, G., & Pearce, S. L. (1988). Construction Bar Code Standards. Proceedings of the ... ISARC. https://doi.org/10.22260/isarc1988/0044
Stukhart, George, and Stephen L. Pearce. “Construction Bar Code Standards.” Proceedings of the ... ISARC, 1988, https://doi.org/10.22260/isarc1988/0044.
Stukhart, George, and Stephen L. Pearce. 1988. “Construction Bar Code Standards.” Proceedings of the ... ISARC. https://doi.org/10.22260/isarc1988/0044.
Stukhart, G. and Pearce, S.L. (1988) ‘Construction Bar Code Standards’, Proceedings of the ... ISARC. Available at: https://doi.org/10.22260/isarc1988/0044.
@article{stukhart1988construction,
title = {{Construction Bar Code Standards}},
author = {Stukhart, George and Pearce, Stephen L.},
journal = {Proceedings of the ... ISARC},
year = {1988},
doi = {10.22260/isarc1988/0044}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.