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We are seeking a solution that automates and improves the productivity of the maintenance and repair damage assessment and repair verification process. The proposed solution should provide the following features:
• Automated recognition, labelling of survey results (images, reports etc.)
• Automated classification of damage
• Automated recommendation for type of repair
• Automated smart suggestion regarding repair location
• Automated smart decision on optimized repositioning of repaired equipment
• Note that the images of existing damage components of the containers will be available to the solution provider for training.
Stakeholders
• Ship owner
• Depots
• Damage surveyor
• Equipment Owner
• Repair company/depot
Background
PIL Maintenance and Repair (MNR) department is responsible for the maintenance and repair of containers.
This includes vetting all repair recommendations submitted to PIL.
These repair recommendations are done by third party quantity surveyors who inspect PIL’s containers upon their arrival at any port.
If the surveyor discovers any damage that he deems as requiring a repair, he submits a repair recommendation to PIL with below
Requirements
Problem #1
Using the images uploaded for each recommendation, a PIL staff has to verify that:
The images uploaded are not labelled to suggest which damage component it captures, and the PIL staff has to manually comb through all the images submitted for each repair recommendations to manually verify all the above pointers.
Problem #2
The next step in the container repair process after the container has been verified to require the specific repair job is to decide whether to repair the container locally or to reposition it overseas for a cheaper or higher quality repair.
The factors affecting the decision include:
The team either sacrifices a huge amount of time to read through the details of the tariffs or to decide based on past experiences, which may not always provide the best course of action for the particular repair case.
Pain Points
Trade and Connectivity Challenge 2020
The present Innovation Call is part of theTrade and Connectivity Challenge 2020 co-organised by Enterprise Singapore along with IPI Singapore.
Singapore’s position as a strategic trade hub is backed by its strong regional networks and connectivity. In recent years, Singapore has also transformed into a hub for innovation activity.
The Trade and Connectivity Challenge (TCC) leverages Singapore’s vibrant ecosystem of global trade, connectivity and innovation as a call for solutions to drive partnerships in the aviation, maritime, land mobility, logistics, and trade sectors. Now, in its second year, TCC 2020 continues to provide opportunities for startups and SMEs to co-innovate, deploy, and adopt innovative solutions.
Enterprise Singapore, together with IPI, invites you to showcase your innovative solutions in growth areas, such as big data analysis, Internet of Things and sustainability post-COVID19.
The Singapore Management University Institute of Innovation and Entrepreneurship (SMU IIE) is a practice-oriented institute that nurtures changemakers and founders who aspire to make the world a better place. To achieve this mission, SMU IIE focuses on its three areas of competencies which include customised training programmes, an equity-free incubation programme, and fostering a cohesive innovation and entrepreneurship community.
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