Utilizing automatic identification tracking systems to compile operational field and structure data.

Amde, A.M.; Saad, T.; Majekodunmi, F.; Villatoro, J.; University of Maryland (College Park, Md.). Dept. of Civil and Environmental Engineering

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Utilizing automatic identification tracking systems to compile operational field and structure data.

2014-05-01
By Amde, A.M. ; Saad, T. ; Majekodunmi, F. ; ...

[PDF-4.68 MB]

English

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Details:

Creators:

Amde, A.M. ; Saad, T. ; Majekodunmi, F. ; Villatoro, J.

Amde, A.M. ; Saad, T. ; Majekodunmi, F. ; Villatoro, J. Less -
Corporate Creators:

University of Maryland (College Park, Md.). Dept. of Civil and Environmental Engineering
Subject/TRT Terms:

[+]

Asset Management Automatic Data Collection Systems Detection And Identification Systems Management Information Systems Materials Management Monitoring Radio Frequency Identification Return On Investment Software
Publication/ Report Number:

MD-14-SP209B4G
Resource Type:

Tech Report
Geographical Coverage:

Maryland
Corporate Publisher:

Maryland. State Highway Administration. Office of Policy & Research
Abstract:

The Maryland State Highway Administration’s (SHA) Office of Materials Technology (OMT) ensures that the quality of

materials used on Maryland’s roadway system are properly designed, produced, and built to the approved codes and

standards. The Materials Quality divisions of OMT are structured into the Asphalt Technology, Concrete Technology,

Soils and Aggregate Technology, and Structural Materials and Pavement Markings divisions.  Each division is responsible

for the quality assurance/control testing, evaluation, and clearance of the materials used in transportation facility

construction. From the time the materials are sampled in the field, the management of these materials relies on a

series of intensive human processes involving sample collection and delivery, written reports and log books to record

materials’ laboratory test results and track logistical information.  As the materials travel throughout the six different

laboratories, material information is manually recorded into a localized network database and the Material

Management System (MMS) separately.  The current amount of human involvement necessary in the generation of

sample reports and manual data entry process can be streamlined with the integration of Automatic Identification

Technology (AIT). This study investigates past implementations of AIT into civil engineering and construction

applications to detail necessary modifications to OMT’s existing material clearance and MMS processes; as well as AIT

system hardware recommendations, software development and integration considerations, estimated investment

costs, and estimated return on investment.
Format:

PDF
Funding:

SP209B4G
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:66eff57c648afddcd8fd37bbaf0e41538cd9a74fc0c31cba26ece519c6d01aae
Download URL:

https://rosap.ntl.bts.gov/view/dot/27349/dot_27349_DS1.pdf
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Utilizing automatic identification tracking systems to compile operational field and structure data.

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