Maritime Operations

Collection of data across the maritime industry has proven to be unsatisfactory over the past few yeas. Considering the technological advances and development of IoT over the globe, different sectors have prospered towards greater success while maritime has been continuing its slow and trajected growth. The amount of data collected by the vessels, buoys, shipping companies, satellites, etc. can provide crucial and useful information. However, at present, it is proving to be utterly counterproductive. Most shipping companies either do not track or aren't able to keep a backlog of their data dating back more than 5 years. Predictive analysis on this type of data could provide the needed push that maritime needs to improve its sluggish productivity lines, reduce the overhaul times, and bring down the tremendous loss of cargo that are lost due to accidents and natural events. With the growing interconnection of marine logistics, information exchange across diverse stakeholders is important to ensure efficient supply chain processes and management. Electronic data interchange (EDI) has garnered considerable scholarly and commercial interest in the marine sector because of the potential to greatly increase the quality of data exchange and hence promote supply chain convergence. 

Outcomes of the Session - An overview

Marine Engineering

Data gathered and evaluated during the ship's lifespan will be beneficial for future ship building advancements. Existing datasets might be used to evaluate the prospective vessel model without having to build it physically.

 

Adaptability

 


Public and private sectors needs to modify their customs and traditions to better suit the technological advancements in the industry to be able to ensure that revenue streams can deliver intended advantages.

Technological Resurgence

If we are to gain from the benefits of new age technology, then we must also shift out corporative environment, keep an open mind towards modernization of the industry and shape our human resource, as needed through training and education, to better adapt to new innovations. There is a need to evaluate techniques and practices on small scale as well as extensively evaluating them in order to determine what works.

Developing a standard protocol

Authorities should be mindful that network models based on monopoly or oligopoly poses dangers such as lock-in, limited improvement, and vehemently anti-competitive attitudes. The notion of global standard protocols has the ability to overcome these challenges.

Development Prospects

The below development prospects are as a result of the IMRC 2022 symposium sessions and protected by the IMRC team. If you are a researcher who wishes to pursue any project as part of your graduate thesis, undergraduate thesis, PhD, or profession, you can apply with IMRC to do the same.

 

To apply, email us your name, email ID, institute name, background, purpose, contact number along with a one-page synopsis on your project of choice. IMRC will vet all applications. Selected candidates will commence the project with full support of IMRC, registered ISSN publications and IMRC's industry partners. 

Standard data collection and inventory systems

Expanding the existing technology at IMRC, we announce a project for a cloud based data collection platform for vast maritime information exchange. We would like to invite companies and individuals who would be willing to assist us in expanding Maritime's big data collection into a more beneficial asset in global operations. We will soon be releasing project details and partnership opportunities. Email us to register your interest at imrc@isfgroup.in.

Deep-learning based
Predictive Analysis Tool

The need of predictive analysis tools for risk assessment and budget forecasting for maritime corporations is growing at exponential rate. IMRC announces a project to develop generic and function-specific predictive analysis tools which will be available on a secure open platform for organizations to use and perform discreet analysis with their data. Email us to register your interest at imrc@isfgroup.in.

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Meet the Contributors

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Mr Yi Han Ng

Director (Innovation, Technology & Talent Development), Maritime and Port Authority of Singapore

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Mr Sanjeev Namath

Chief Business Officer, Alpha Ori

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Mr Jiten Mehra

Global Head of Dry Bulk Operations, Torvald Klaveness

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Mr Ron Fong

Head of IT at Pacific Carriers Limited and POSH Fleet Services

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Mr Punit Oza

Director, Klaveness Asia, Senior Adjunct Fellow at MPA Academy & Maritime Digitalization Playbook Ambassador

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Mr Chitta Dash

Former Lloyd’s Register’s Marine Business Manager

The Library

Marble Surface

A systems approach to risk analysis of maritime operations

Marble Surface

Big data usage in the Maritime industry A Qualitative Study for the use of Port State Control (PSC) inspection data by shipping professionals.

Marble Surface

Mobile applications, cloud and bigdata on ships and shore stations for increased safety on marine traffic; a smart ship project

Marble Surface

A study of reliability-centred maintenance in maritime operations

Marble Surface

The development of a ship-server power / emission assessment model: case study on big data analysis for real-time ship operation

Marble Surface

Vessels fuel consumption forecast and trim optimisation: A data analytics perspective

Marble Surface

A new hybrid approach to human error probability quantification-applications in maritime operations

Marble Surface

Modelling of Risk and Reliability of Maritime Transport Services

Marble Surface

Vessels fuel consumption forecast and trim optimisation: A data analytics perspective

Marble Surface

Vessels Fuel Consumption: a Data Analytics Perspective to Sustainability

Marble Surface

Condition-Based Maintenance of Naval Propulsion Systems with Supervised Data Analysis.

Marble Surface

Big Data development in the tanker industry - Drivers and Challenges

Marble Surface

The human element in future Maritime Operations – perceived impact of autonomous shipping

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IMRC Partners and Patrons
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