My WebLink
|
Help
|
About
|
Sign Out
Home
Browse
Search
IMS Infrastructure Management Services 12/27/2023
>
Contracts
>
6 Years Then Destroy
>
2025
>
IMS Infrastructure Management Services 12/27/2023
Metadata
Thumbnails
Annotations
Entry Properties
Last modified
1/3/2024 10:59:14 AM
Creation date
1/3/2024 10:56:04 AM
Metadata
Fields
Template:
Contracts
Contractor's Name
IMS Infrastructure Management Services
Approval Date
12/27/2023
End Date
12/15/2025
Department
Procurement
Department Project Manager
Bert Cueva
Subject / Project Title
Pavement Assessment
Tracking Number
0004114
Total Compensation
$111,980.00
Contract Type
Agreement
Contract Subtype
Professional Services (PSA)
Retention Period
6 Years Then Destroy
Imported from EPIC
No
There are no annotations on this page.
Document management portal powered by Laserfiche WebLink 9 © 1998-2015
Laserfiche.
All rights reserved.
/
97
PDF
Print
Pages to print
Enter page numbers and/or page ranges separated by commas. For example, 1,3,5-12.
After downloading, print the document using a PDF reader (e.g. Adobe Reader).
Download electronic document
View images
View plain text
City of Everett | RFP No. 2023-057 <br />November 2, 2023 <br />IMS Infrastructure Management Services, LP 19 <br />• What error resolution procedures will be followed <br />• How data will be accepted <br /> <br />IMS’ Signature Multi-step QC/QA Process (Optional) <br />IMS has developed a unique approach to pavement condition assessments by coupling the <br />power of automated algorithms with the manual review of distress data. Our pavement <br />engineers have an expert understanding of the capabilities and limitations of the state-of-the- <br />art LCMS-2 technology and the sophisticated algorithms that we employ. They are trained to <br />detect anomalies in field observation notes, manual data review, and automated LCMS-2 <br />output. This rigorous QC/QA process provides an added measure of confidence that the <br />automated distress detection and classification algorithms have performed accurately. <br /> <br /> <br />Our signature QC/QA process is comprehensive and makes use of field observations, <br />automated data processing tools, manual data review by our QC team, independent review by <br />our QA manager, and final review by the City. <br /> <br />Machine learning and artificial intelligence have made leaps and bounds in accelerating the <br />distress identification process; and when combined with the expertise of IMS’ trained <br />pavement raters, field staff, and expert engineers, they establish a high level of data confidence <br />and integrity. The City will perform the final QA review, taking ownership of the condition data. <br />We understand that others may view the IMS multi-step QC/QA process as stringent, however <br />we have found over the years that our multi-angle approach to QC/QA consistently yields the <br />highest quality data delivered to our clients. <br /> <br />Budget Scenarios <br />The IMS team uses a rigorous, quality-tested prediction modeling and budget evaluation <br />process to develop custom unit cost tables, decision trees, and scenario plans. We will <br />customize Cityworks with City-specific parameters before running several network-level “what- <br />if” scenarios that explore the benefits and consequences of several budgets on long term
The URL can be used to link to this page
Your browser does not support the video tag.