Challenges DRISHTI
AI-Based System for Design Change Impact Analysis and Cost Estimation
At present, design change assessment and costing at MDL is largely manual, experience-based, and fragmented across departments. This creates the following challenges: 1. Unclear impact visibility- A single design change often affects multiple systems such as structure, propulsion, weapons, electrical, and outfitting. These cascading effects are difficult to identify early.2. Delayed and uncertain cost estimates- Due to the absence of reliable historical cost intelligence and the fast-changing nature of technology, accurate cost estimation at the problem-statement stage is difficult. As a result, cost projections often vary widely. 3. Cost overruns and schedule delays- Industry and MDL project data indicate that uncontrolled or late assessment of design changes can lead to 15–35% cost escalation over baseline estimates, along with schedule slippages. 4. Heavy dependence on manual expertise- Knowledge resides with individuals rather than systems, making the process slow, inconsistent, and difficult to scale. There is a clear need for a systematic, intelligent, and data-driven solution that can:1. Analyse design change requests at an early stage2. Predict how a change will propagate across various design disciplines 3. Estimate the cost and schedule impact with reasonable confidence4. Support management in taking faster and better-informed decisionsCurrently, such an integrated capability does not exist at MDL.
