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A Real-Time Physical Progress Measurement Method for Schedule Performance Control Using Vision, an AR Marker and
Taihun Choi1,2, Yoonho Seo1
1Department of Industrial and Management Engineering, Korea University, Seoul KS013, Korea.
Sensors (Basel, Switzerland)
|September 23, 2020
Summary
This study introduces an objective, IoT-based system for measuring shipyard progress, moving beyond manager
Area of Science:
- Industrial Engineering
- Manufacturing Systems
- Maritime Technology
Background:
- Shipyard project management relies heavily on subjective manager judgment, leading to delivery delays and increased production costs.
- Current progress control methods in shipyards lack objectivity, hindering efficient project execution and cost management.
- Empirical decision-making in shipyard progress management contributes to significant financial and time-related inefficiencies.
Purpose of the Study:
- To develop an objective methodology for measuring process progress in shipyard ship block assembly plants.
- To enable automated, real-time work performance data collection, reducing reliance on subjective managerial assessments.
- To enhance accuracy in progress tracking for mounting and welding activities within ship block assembly.
Main Methods:
- Implementation of an Internet of Things (IoT)-based physical progress measurement system for automated data acquisition.
- Utilization of an augmented reality (AR) marker-based image analysis system for monitoring mounting activities.
- Development of a machine learning model analyzing welding machine time-series data to assess welding performance.
Main Results:
- The proposed IoT-based method provides objective, real-time work performance data for ship block assembly.
- The integrated AR and machine learning models accurately measure progress in mounting and welding tasks.
- Validation of the methodology at Shipyard H demonstrates its practical applicability and effectiveness in improving progress measurement.
Conclusions:
- The developed methodology offers a significant improvement over traditional empirical judgment in shipyard progress control.
- Objective, data-driven progress measurement enhances efficiency and accuracy in ship block assembly operations.
- This approach has the potential to reduce delivery delays and mitigate associated production cost increases in shipbuilding.
