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What it is
The Digital Engineering DILO is a survey solution that sizes the efficiency potential within an organization and its teams as well as hypothesizes levers to increase employee capacity. This is done through determining how much time colleagues are spending on value added, core engineering work compared to low or non-value add activities.
What it looks like
Survey UX
Simple UX allowing survey participant to quickly input estimation of time spent on different activities
Sample outputs
How it works
DILO will take ~3 weeks from configuration to output
Context setting and syndication
Timing - ~1 week
- Conduct stakeholder interviews to determine key areas to explore in open responses and demographics
- Syndicate survey structure and content: demographics questions, activity taxonomy, and open responses
- Review survey email communication templates
- Identify a representative sample of organization as participant group and collect participant’s email address
Survey configuration
Timing - 1-2 days
- Create DILO survey based on syndicated questions and upload participant email list
- Update DILO survey communication based on client’s edits
- Conduct survey testing trial before full launch
Survey Launch
Timing - 1 week
- Launch survey to full participant list
- Targeted outreach to improve response rates
Analysis and Insights
Timing - 1 week
- Generate Excel dataset with survey responses
- Identify preliminary insights and generate PPT output
- Review insights and pressure test benchmark (if applicable) with experts
- Share insights and benchmark (if applicable)
Benefits
High participation level (>50% response rate for 2,500+ engineers within 10 days)
Quick survey to complete
High level of customizability
5-15% Labor expense or capacity unlock (on baseline of total engineering labor expense)
Sample implementation cases using Optimix output
Material Yard
Reduce raw material variation by improving material yard management and optimizing material blending
Improve fuel and flux quality through “first-in-first-out” and quality spot check
Conduct daily analyses of the composition variation of the mixing iron ore material, especially for TFe, SiO2, and Al2O3
Sinter
Conduct sinter cup tests to understand changes in sinter properties
Optimize sinter operations to stabilize sinter throughput and key quality indicators, like drum index, and size distribution
Develop a basicity prediction model to control the basicity conformity better
Blast furnace
Conduct sinter cup tests to understand changes in metallurgical properties
Stabilize blast furnace operations through process control in the following key dimensions
- Slag composition control
- Charging scheme and burden distribution
- Thermo-control scheme
- Hot blast scheme
- Slag control scheme
Sample output for price prediction
Optimix Price Prediction Module
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Optimize conducts advanced analytics based price forecast
- Analyze a considerable amount of historical data to accumulate market experience quickly
- Model-based price forecasts create a stable logic and avoid human-sentiment intervention
- Improve long-term accuracy with model iteration
- Replicate models and transfer them for different commodities
Why use Optimix
1. Industry insights
Features built-in key industry insights from extensive engagements
Continuously evolving to incorporate new knowledge
2. Process modeling
Fully customizable to reflect each client’s manufacturing process and business needs
Filters data and manages the quality of the information
3. Data modeling and solver configure
Creates data modeling to improve efficiency and quality
Fine-tunes solver configuration to guarantee consistent results even with heuristic algorithms
4. Cloud-based agile architecture
The cloud-based core engine enhances more complicated optimizations
Balanced flexibility helps further enable CST and clients use Optimix to do the optimizations
5. Implementation enablers
Organizes scenario optimization results for implementation
Provides change management and tracks the performance
Optimix has achieved
1 to 3% average
profit increases by identifying market opportunities based on advanced analytics models. Mainly applied in steel finish products.
1 to 5% average
reduction in raw material costs. It can be applied to iron ore, scrap steel, coke, and thermal coals.
Here are some client examples
Manufacturing tool supplier identified opportunity of ~30% efficiency improvement and ~30% budget reduction by understanding gap to best-in-class efficiency practices
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Automotive player identified activities driving inefficiencies with potential to unlock 30% efficiency improvement and $10M quick win impact
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By working with us, you will have access to
Experts
Our industry and functional experts will be on the ground where and when you need them.
Helpdesk
Our helpdesk will keep doors open and commit to addressing your concerns efficiently and effectively.
Training
We offer coaching and build capabilities for your teams to deliver sustained improvements.
Implementation
We partner with you and co-create a firm path to implementation as part of the project.