See how a unified and mastered view of the spare parts and equipment on-board every ship allowed Carnival Cruise Line to drive more business to the most reliable and cost-efficient vendors.
Watch the full presentation > https://resources.tamr.com/carnival
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Agenda
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● Introduction
● Parts, Components Mastering Across
The Floating Org
● Business Outcomes
● Accelerating Supply Chain Initiatives
● Q&A
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About Doug Frauenberger
● Director of Strategic Initiatives at Carnival Corporation plc
● Worked at McKinsey consulting in defense, airline, and
consumer goods across manufacturing & supply chain
● Naval architect and marine engineer
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About Sanjay Rajan
● Engineering and Manufacturing Operations roles in
High Tech Industry
● Expertise in guiding adoption of Industry 4.0 in
Manufacturing
● Accelerating Digital Transformation with Machine
Learning
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A Little About Carnival Corporation
● 102+ ships operating across the globe
● 9 brands including Carnival Cruise Lines, Holland America, Princess Cruises, P&O
Cruises and more…
● Millions of people including passengers and crew step aboard a ship annually
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More Brands Means....
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Data silos across the company:
● 1.4 million parts to track
● 50+ different ship management systems storing data
● Different data formats
● Data quality varies
8. Carnival Launches MAST Initiative
● Build a “Golden” database for all data being used by the fleet
● Will include spare parts, equipment and planned maintenance schemes
● Database will feed the main production database, which in turn feeds the
fleet
Scope of Initiative
There is a need for a unified and mastered view on fleet data to enable
building a “Golden” database on Carnival’s fleet data
Objective
MAST = “Maritime Asset Strategy Transformation”
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Scope of MAST Initiative
Maintenance Jobs Mastering
Project
Implementation
Components Mastering
Main (“Golden”) Production Database
Spare Parts Mastering
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Why Components Mastering is Good for Business
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● Production equipment - Main engine, A/C units, etc.
● Ability to analyze data (MTBF, MTTR) and understand
TCO of our assets
● Increase ability to perform preventative maintenance
/ share best practice
● Better understanding on what parts perform better
Components Mastering
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Why Parts Mastering is Good for Business
● Inventory Sharing - Get parts to ship faster / reduce cash
expense
● Understand interchangability of parts
● Visibility into global pricing - Better negotiate with
vendors
● Drive business to the most reliable and cost-efficient
vendors – global consumption / forecasting improves
contract pricing
Spare Parts Mastering
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Current status: Numerous data
sources to track and maintain
Why Data Mastering
Dynamic Schema
DBs - Mongo et al
Restructuring
Supplier
Data
Lack of Global
Standards
M&A
Requirement: Accurate, up-to-
date, curated view of parts
Manufacturers
Suppliers
Components Transactions
Parts [...]
Problem:
1. Too much time spent on data prep vs. analysis & action
2. Inventory overlap
Multiple
Shipyards
“Data
Hoarding”
Solution:
1. Master parts across all ships and suppliers
2. Create one database for single source of truth
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Pilot Ship Database Creation
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Schema-
mapping
Model
Development &
Pair Generation
Pair Labeling &
Model Training
Clustering &
Review
Golden
Recording &
Review
Publishing
1 2 3 4 5 6
Class 1 – Golden Database
All ships
Class 1
Class 2
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Ship Overlap for Stock Type
Improves after Tamr Mastering
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● 28,000 unique stock types listed on Class one
ship
● After mastering the data, results show that
7,800 stock types were overlapping and
could be eliminated.
20. Spend – Brand X - Current Parts - After Mastering
Total Value of Part
Transactions [$]
1,102 parts
(1.0% of parts)
1,463 parts
(1.3% of parts)
2,129 parts
(1.9% of parts)
3,468 parts
(3.2% of parts)
7,337 parts
(6.7% of parts)
(39% of spend)
(43% of spend)
(49% of spend)
(56% of spend)
(69% of spend)
+
+
+
+
+
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Business Impact of Mastering – Future State
• Aligned components in global database allows us to evaluate 100+ ships worth of data
• Understand our asset TCO – better data drives our new build specifications
• Based on MTBF & MTTR – informs which assets will benefit from reliability centered
maintenance and condition-based maintenance
• Easier to maintain / less administrative work
• Globalized data - enables potential supply chain transformation
• Inventory sharing - $1B of technical inventory sitting on our ships – visibility to re-
deploy
• Sourcing savings with our suppliers; global consumption / pricing visibility
• Aligning our jobs – potential to reduce work content / labor hours for our shipboard
crew
• Avoid Over-Maintaining our assets – do only the work that is required, when it’s
required
• Reduce occurrence / risk of “maintenance induced failures” by optimizing jobs
Spare Parts Mastering
Maintenance
Jobs Mastering
Components Mastering
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Globalization Allows for an Advanced Supply Chain
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● In current environment – mastered parts helping preserve cash
● Much of our fleet in same city / area (e.g. South Florida) - leverage mastered
data to ID inventory sharing opportunities (use existing parts vs. buy new)
● Mastered data can help ID which vendors we need to proactively work with to
reduce price and/or extend payment terms
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Why Use Human-Guided Machine Learning to
Master Data
Before: Data Scientists spent months and
100% of energy preparing data.
Today: ML can do 80% of
data mastering lift...
…. Enabling Data Scientists to put
final touches on the last 20%.
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Data Can Help Supply Chain Risk & Planning
Stay agile across supply chain operations and minimize disruptions
● Improve Supply Chain Visibility with granular
view of spend (direct and indirect)
● Drive Cost Reductions by consolidating spend
and suppliers, more leverage in negotiations
● Avoid Business Discontinuity by identifying
alternates parts and suppliers
Commodity
Managers
Supply Chain
Analysts
Procurement
Specialists
Manufacturing Engineers
Supply Chain Risk Exposure Dashboard
Contracts
Specialists
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Uncover Your Supply Chain Risk Exposure
with
Supplier Mastering Material Mastering
TamrSolutions
Prescriptive Engagement: Supply Chain Risk
Assessment and Spend Analytics
Spend Classification
Fred/Katie intro.
Thanks for joining today’s webinar.
Today we’re joined by doug from carnival.
Fred/Katie go over agenda, intro Doug.
Doug talks about his role at Carnival and background. When Doug is done, Fred/Katie will intro Sanjay.
Doug gives Carnival overview
Doug talks about how Carnival grew organically and via acquisition (mention brands Carnival corp bought over the years) and how this benefited the business.
Doug talks about the data challenge the M&As created: different Carnival ‘Brands’ used different data management systems. Maybe anecdote of how same part called different names in different databases and how this impacted operations, or primer on the complexity of cruise ships and the parts that comprise them
Doug talks about Mast objective of having a single, unified database for all of Carnival mentioning the business context and data challenges.
Doug talks about how parts mastering benefits Carnival’s business
Doug talks about how parts mastering benefits Carnival’s business
Doug talks about what data mastering looks like at Carnival
Doug to speak about the pilot database that classified a specific class of ships.
Doug talks about some early results of data mastering. In this slide, it’s how data mastering let Carnival eliminated nearly 8,000 overlapping stock types in one ship.
Doug talks about how Tamr clustered records that represent the same Component Type. In this examples, the component is a motor. These clusters will become golden records that are uploaded to MAST.
Doug talks about the speed to value being in Google Cloud provides and the benefits of deploying in the cloud vs. on premise. Carnival can do what it does best and let Google handle the maintenance, scaling, updates, etc.
Doug talks about how parts mastering lead to better understanding of part spend, which lead to better negotiation of parts pricing.
Doug to share example
Doug share anecdote on how every company is trying to save money and spend analytics helps with that. Then Katie/Fred intro Sanjay
Sanjay’s slide
Transform data on suppliers, materials, parts, and assets to improve visibility into global supply chain operations
Assess risk to supply chain operations and make data-driven decisions that avoid disruptions and better align supply and demand
Gain confidence in data on suppliers and improve ability to find alternate suppliers and negotiate terms
Sanjay’s slide
