Compass — Vessel Deviation Management (Quay) Page Guide
A post-operations performance view of vessel calls: plan vs execution, productivity, and losses — used for structured reviews, root cause identification, and continuous improvement.
Historical · Source: TOS + COMS
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What this page is for
The Vessel Deviation Management page provides a structured post-call analysis of vessel performance.
It is used to:
- Review execution vs plan
- Identify productivity gaps and operational losses
- Support fact-based discussions in standard meetings
- Drive continuous improvement (Kaizen, process confirmation)
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How to use this page
Single Vessel (Post-Mortem)
Used for:
- Weekly vessel post-mortem
- Deep dive into one specific call
👉 Focus on:
- What deviated from plan
- Where time was lost
- Why performance gaps occurred
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Aggregated View (Period / Service / Terminal)
Used for:
- Daily SQDC / Weekly performance review
- Trend and benchmarking analysis
👉 Focus on:
- Recurrent deviations
- Structural performance gaps
- Prioritization of improvement actions
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Key Performance Indicators
Port Stay & Throughput
Port Stay Hours Time from All Fast → Last Line
PMPH — Port Moves Per Hour Moves ÷ Port Hours Overall vessel productivity (customer KPI)
Total Executed Moves Total billable moves handled
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Time Performance
Working Hours Time from First Lift → Last Lift
Idle Time (Arrival + Departure)
- Arrival Idle = First Lift − All Fast
- Departure Idle = Last Line − Last Lift
👉 Reflects non-productive berth time
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Crane Productivity
CMPH — Crane Moves Per Hour Moves ÷ Total Crane Hours Average crane productivity
Crane LPH (Long Crane) Throughput performance of the longest crane
Crane Intensity (CI) Total Crane Hours ÷ Working Hours Average cranes deployed during the call
Net Crane Hours Total effective crane working time
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Execution Efficiency
Twin Lift Ratio Share of twin moves in total operations
👉 Higher ratio = better crane efficiency
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Cycle Time & Loss Analysis
Gross Cycle Time
End-to-end crane cycle (including losses)
Net Cycle Time
Cycle time excluding operational losses
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Loss Breakdown
Muda Operational waste (waiting, inefficiencies)
Incidental Work Supporting activities (e.g. hatch covers)
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Muda Structure
Overall Muda Total non-productive time
Explained Muda Losses properly classified
Unexplained Muda Unclassified losses
👉 Indicator of data quality + control discipline
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Performance Logic
- Green → On or above plan
- Red → Below plan
- (For time KPIs: lower = better)
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How to drive actions from this page
SQDC (Daily / Weekly)
- Monitor:
- PMPH / CMPH trends
- Idle times
- Muda levels
- Escalate deviations quickly
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Vessel Post-Mortem
- Start with:
- PMPH / Port Stay deviation
- Check:
- Crane performance (CMPH, CI)
- Drill into:
- Cycle time → Muda → root causes
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Continuous Improvement (Kaizen)
Use the page to:
- Identify repeating loss patterns
- Target:
- High Muda areas
- High Idle times
- Low crane productivity
👉 Convert findings into:
- Standard work adjustments
- Process fixes
- Resource optimization
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Process Confirmation
- Validate if:
- Execution followed plan
- Crane deployment was optimal
- Delays were properly captured
👉 High Unexplained Muda = gap in process discipline
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Filters & Controls
- Time → Year / Month / Week
- Vessel / Service → Drill-down capability
- Single vessel vs aggregated mode
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Important Notes
Single vs aggregated:
Use single vessel for RCA, aggregated view for trends
Data accuracy:
Dependent on correct TOS move and delay logging
Focus:
Do not analyze all KPIs — start with deviation, then drill down
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APM Terminals · Compass Platform · Vessel Deviation Management Guide · v1.0