† RS = partial-scope renovation — not directly comparable to new construction for Time/Cost/Carbon · ‡ Crane: TC=roof crane ×10 d; PF=precast+roof ×21 d; PP=precast+roof ×24 d; RS=0 d (capped at index 0, radar capped 180)
Radar — Adjusted Score (Outer = Better)
Adjusted Score = 200 − Index · Outer ring = best performance · Inner = worse · Index values shown on dots
Show:
Recommendation:
Schedule Summary
TC
197
calendar days
Subst 45d · Struct 64d · Roof 16d · Arch 51d
−37%
PF
125
calendar days
Subst 31d · Struct 28d · Roof 16d · Arch 49d
−52%
PP
94
calendar days
Subst 31d · Struct 20d · Roof 16d · Arch 25d
Partial
RS
40
calendar days
Demolish 12d · New Constr 28d
4D Gantt Chart — WBS-Level Schedule
All durations include calendar lags and non-working days. Toggle scenarios to compare. Solid fill = Critical Path task · ◆ = successor dependency
Priority 3: OneClick LCA generic where no Thai EPD/TGO available
A4 distances: RMC 10 km · Precast 25 km · General 25 km · Roof steel 30 km · Waste 15 km
A5: equipment fuel from UC1 crane/pump machine-days
Data Lineage
BIM-to-Dashboard Flow
Revit 2025BIM Model ×4
→
DynamoQTO + write-back
→
WBS GroupingInstance param
→
UC1/UC2/UC3MSP · Excel · OneClick
→
UC4 IndexValue_i/Value_TC×100
→
DashboardVisualisation
AI tools (Claude, ChatGPT) support data cleaning, structuring, and interpretation only — not primary calculations. All quantitative outputs produced by Revit, Dynamo, MS Project, Excel, and OneClick LCA.