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Case Study — Smart Port Operations | HarborTech Solutions
Case Study

Smart Port Operations — HarborTech Solutions

Industry: Transportation & Logistics — Ports
Location: Singapore
Services: IoT • Yard Optimization • Asset Tracking
Port dashboard placeholder

Visual: berth schedule, yard heatmap, crane telemetry and container tracking (placeholder).

Client Overview

HarborTech Solutions provides digital transformation services for mid-sized ports and terminals. This engagement targeted improved berth utilization, faster container turnaround, and predictive equipment maintenance at a regional container terminal.

  • Terminal throughput: 1.2M TEU annual (regional terminal)
  • Assets: Quay cranes, RTGs, yard trucks
  • Duration: 10 months (discovery → live ops)

Challenge

Bottlenecks in berth allocation, manual yard planning, and reactive maintenance caused delays and expensive demurrage. HarborTech needed an IoT + optimization stack to coordinate equipment, reduce dwell time, and prioritize maintenance efforts based on usage patterns and failure risk.

Solution — IoT + Yard Optimization

We delivered container-level tracking (RTLS), crane and RTG telemetry, berth scheduling optimization, and predictive maintenance for heavy equipment. The system included digital twins for yard simulation and a mobile app for yard operators to manage pickups and staging.

Core modules

  • RTLS container tracking and yard heatmaps.
  • Berth scheduler with optimization for tide & vessel windows.
  • Predictive maintenance for cranes and yard equipment using vibration/usage signals.
  • Yard operator app for quick staging and pickup coordination.

Approach

  1. Instrument key assets with telemetry and deploy RTLS for hotspots.
  2. Model yard flows and run simulation to identify choke points.
  3. Develop optimization for berth windows and yard block assignments.
  4. Deploy predictive maintenance and link to vendor SLAs and spares.

Technology stack

RTLS • LoRa/BLE Optimization engine Time-series analytics Digital twin Mobile yard app

Implementation — Key Steps

Phase 1 — Discovery & Instrumentation (Weeks 1–8)

Map processes, install RTLS anchors in pilot yard zones and instrument cranes for telemetry.

Phase 2 — Simulation & Scheduler (Weeks 9–20)

Run digital-twin simulations to test berth scheduling and yard assignment strategies.

Phase 3 — Predictive Maintenance & Rollout (Weeks 21–36)

Deploy predictive maintenance, integrate with vendor workflows and expand RTLS coverage.

Impact & Results

18%

Improved berth utilization

25%

Reduction in container dwell time

30%

Lower crane-related downtime

6 months

Live benefits after pilot

Qualitative outcomes

  • Operators could proactively stage containers and avoid long crane idle times.
  • Predictive maintenance reduced emergency crane repairs and associated demurrage.
  • Digital twin allowed safe testing of operational changes before live rollout.

Client Testimonial

“The yard visibility and berth scheduler gave us control over throughput and helped our operations team reduce costly delays.”
— Port Operations Director, HarborTech Solutions

Key Highlights & Learnings

  • RTLS combined with simulation provides quick wins in reducing yard friction.
  • Prioritize instrumentation of choke points — anchors deliver high visibility for minimal cost.
  • Link optimization outputs to operator apps to ensure real-world adoption.

Project: Smart Port Ops • Client: HarborTech Solutions • Delivered by: Medro Hi Tech Symbol

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