Short answer

Implement a systematic, data-driven framework for technology selection that considers technical constraints, performance metrics, and economic factors to ensure optimal outcomes.

Field
Modelling
Source
VTechWorks (Virginia Tech) (2010)
Method
Development of a decision-support tool (Excel-based framework) utilizing a multi-step exclusion protocol and comparative analysis of performance and cost data.
Evidence
Strong effect

A structured, multi-step exclusion protocol combined with performance and cost data significantly improves the selection of appropriate condition assessment technologies for water and wastewater pipelines. This modelling research insight is drawn from a 2010 study published in VTechWorks (Virginia Tech). Using Development of a decision-support tool (excel-based framework) utilizing a multi-step exclusion protocol and comparative analysis of performance and cost data., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Implement a systematic, data-driven framework for technology selection that considers technical constraints, performance metrics, and economic factors to ensure optimal outcomes.

Study
ModellingHigh ImpactStrong effect

Decision-support framework optimizes selection of pipeline condition assessment technologies

A structured, multi-step exclusion protocol combined with performance and cost data significantly improves the selection of appropriate condition assessment technologies for water and wastewater pipelines.

VTechWorks (Virginia Tech) · 2010

01

Key Findings

  • 01A systematic approach is needed to match condition assessment technologies to specific pipeline assets and utility needs.
  • 02Technical feasibility, technical suitability, performance, and cost are critical factors in technology selection.
  • 03A structured framework can guide utility managers in making more informed technology choices.
02

Application

Design takeaway

Implement a systematic, data-driven framework for technology selection that considers technical constraints, performance metrics, and economic factors to ensure optimal outcomes.

How to apply

When selecting specialized equipment or software for a design project, create a matrix that lists essential technical requirements and desired performance metrics. Then, research available options, systematically eliminating those that don't meet the core criteria before comparing the remaining choices based on detailed performance data and cost-benefit analysis.

Project actions

  • 01When choosing materials or manufacturing processes for your design project, create a decision matrix.
  • 02Research and document the pros and cons of each option thoroughly.
03

Method & Evidence

AimTo develop a framework for the effective selection of condition assessment technologies for water and wastewater utilities.
MethodDevelopment of a decision-support tool (Excel-based framework) utilizing a multi-step exclusion protocol and comparative analysis of performance and cost data.
ProcedureThe framework employs a multi-step exclusion protocol to narrow down technology options based on technical feasibility and suitability. Remaining viable tools are then compared against a performance and cost database specific to project or utility conditions.
ContextMunicipal infrastructure management, specifically water and wastewater pipeline systems.

Variables

IV["Technical feasibility","Technical suitability","Performance metrics","Cost"]
DV["Selection of condition assessment technology"]
CV["Type of pipeline (water/wastewater)","Specific utility conditions"]
04

Strengths & Limitations

Strengths

  • +Provides a structured, repeatable methodology for technology selection.
  • +Integrates both technical and economic factors into the decision-making process.

Limitations

The framework's success relies heavily on the quality of the data used. If the performance or cost data is inaccurate or incomplete, the selection might not be optimal.

Reliability & validity

The reliability of the framework depends on consistent application of the exclusion criteria and the accuracy of the performance/cost data. Validity is supported by the logical structure of the decision process, aiming to ensure the selected technology is appropriate for the stated needs.

Think critically

How might the biases of the data collectors or the availability of certain technologies influence the outcomes of such a framework?

05

Design Principles

"Systematic evaluation and comparative analysis are essential for optimizing technology selection in complex systems."

Effective selection of condition assessment technologies is crucial for accurate infrastructure evaluation and informed asset management. This approach helps utilities avoid costly misapplications and ensures data quality for better decision-making.

06

What This Means for Your Design

Choosing the right tool for checking the condition of underground pipes is important. This research created a step-by-step guide that helps people pick the best tool by first seeing if it can even do the job, and then comparing how well it works and how much it costs.

How to use in your project

  • 1.Reference this research when explaining how you selected specific technologies or methods for your design project, especially if it involved evaluating multiple options.
07

Add to My Project

08

Quick Cite

Paragraph starter

The selection of appropriate technologies for condition assessment in infrastructure projects is critical for effective asset management. Research by Agarwal et al. (2010) developed a decision-support framework that utilizes a multi-step exclusion protocol and comparative performance and cost analysis to guide the selection of condition assessment technologies for water and wastewater pipelines, demonstrating the value of systematic, data-driven approaches in complex technical decision-making.

09

Source

VTechWorks (Virginia Tech)

Developing a Framework for Selecting Condition Assessment Technologies for Water and Wastewater Pipes

journal · 2010

View source

Questions About This Research

What does the research say about decision-support framework optimizes selection of pipeline condition assessment technologies?
Implement a systematic, data-driven framework for technology selection that considers technical constraints, performance metrics, and economic factors to ensure optimal outcomes. Evidence: VTechWorks (Virginia Tech) (2010).
Why does "Decision-support framework optimizes selection of pipeline condition assessment technologies" matter for design?
Effective selection of condition assessment technologies is crucial for accurate infrastructure evaluation and informed asset management. This approach helps utilities avoid costly misapplications and ensures data quality for better decision-making.
How can designers apply this research?
Implement a systematic, data-driven framework for technology selection that considers technical constraints, performance metrics, and economic factors to ensure optimal outcomes.
What were the main findings?
A systematic approach is needed to match condition assessment technologies to specific pipeline assets and utility needs.. Technical feasibility, technical suitability, performance, and cost are critical factors in technology selection.. A structured framework can guide utility managers in making more informed technology choices.
What research method was used?
Development of a decision-support tool (Excel-based framework) utilizing a multi-step exclusion protocol and comparative analysis of performance and cost data..
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2010 journal from VTechWorks (Virginia Tech).
What should I do differently in my next project?
When selecting specialized equipment or software for a design project, create a matrix that lists essential technical requirements and desired performance metrics. Then, research available options, systematically eliminating those that don't meet the core criteria before comparing the remaining choices based on detailed performance data and cost-benefit analysis.
What are the limitations?
The effectiveness of the framework is dependent on the accuracy and completeness of the performance and cost data within the database. The framework is specific to water and wastewater pipelines and may require adaptation for other infrastructure types.