Digital Paint Tools & Process Optimization NSRP All-Panel Meeting March 12, 2019 DCN# 43-5002-19 Jamie Breakfield R&D Project Manager/Systems Engineer Prepared under ONR Contract N00014-14-D-0377 as part of the Navy ManTech Program

Project Team

What is the issue? Need to improve the creation, handling and dissemination of paint data Multiple disparate databases Terminology across platforms not standard Data format not standardized Separate database for each hull Difficult change management Engineering and planning NEED to provide best possible data downstream Painting in the shipyard is a major undertaking Most every part of a ship will go through some degree of painting during construction. Only certain areas in the shipyard are dedicated to performing major paint work and this limitation, coupled with the requirement to paint most parts, can often create a bottleneck to the rest of the construction processes taking place both before and after paint. This problem is further exacerbated when paint has to be re-worked due to misapplication or error. At the core of this issue is the ability of the upstream engineering and planning entities to provide the best possible data to the painters. Currently the engineering and planning paint data is kept in a variety of places multiple disparate databases data format/terminology varies in each ship program There is a major need and demand for a major change to the paint process and toolsets The paint data needs to be standardized across all ship platforms, accessible as it changes, easy to maintain, and intuitive in its presentation.

Paint data quantified: What is a paint schedule?

Objectives Defined Create a new optimized process for paint data management; Create a unified data tool to support Streamlined process Consolidate paint data Standardize terminology & syntax across platforms Increase efficiency Reduce rework Easily rate and plan paint execution Manipulate paint data in conjunction with product model

What did we do? – Phase I Conducted extensive assessment with stakeholders: Discovery of all current paint data products and underlying process Mapped current paint data process Developed future process Compiled detailed requirements set for functional development Defined architecture based on functional requirements Approved for public release (A); distribution unlimited

Map the Extent of the Current Process What did we do? – Phase I Identify all current paint-data driven products, producers, and consumers Map the Extent of the Current Process

What did we do? – Phase I CURRENT ! Change process: Propagated manually per database Paint schedule and Deck Paint schedule and Deck Cover Paint schedule and Deck Cover Paint schedule and Deck Paint schedule and Deck Paint schedule and Deck Cover Paint schedule and Deck Cover Paint schedule and Deck Paint schedule and Deck Cover Paint schedule and Deck Cover ! ERP ! ! Bills structured, estimated, created then bulk created in MARS via SQL, DWGs/aids manually attached individually Unique MS Access Databases - Per hull (Deck Covering & Paint) Manual rollover, creation, or maintenance for each DB separately Publish tabular products (DBs replicated for billing) Data calls, queries constructed as needed

Create New Process and Architecture What did we do? – Phase I Create New Process and Architecture

+ + + PLM What did we do? – Phase I FUTURE ERP Paint schedule and Deck Paint schedule and Deck Cover Paint schedule and Deck Cover Paint schedule and Deck Paint schedule and Deck Cover Paint schedule and Deck Cover Paint schedule and Deck Paint schedule and Deck Cover Paint schedule and Deck Cover + ERP Consolidated data set for all hulls & platforms (Deck Covering & Paint) Changes propagated automatically across centralized data set Bills structured, estimated (more accurately), created, transacted to ERP in bulk with automated attachments Automated rollover, efficient maintenance for all data together Publish (release) live data with extraction capability (no replication required) + DESIGN MODEL Increased utilization of design data (sq. ft., compartments, etc) More Data Automation, Improved Data Quality and Less Manual Replication Reduces time to perform billing and change paper activities Reduces rework by improving data accuracy Quickly serves the latest enhanced quality data to the work site + Powerful queries easily built capable of searching all available data

Phase II - Approach Aras Innovator ShipConstructor Develop the Digital Paint Tool as a single repository for all paint data Interface with work provisioning system Create a final document of the full paint schedule Thousands of pages of paint coat, square footage, and location information Creating a workflow to track paint changes with work provisioned Alert to user when changes to the schedule have already been worked, or when changes can be sent ShipConstructor Extracting necessary information from ShipConstructor using Enterprise Hub PublisherLT Operations Convert ShipConstructor data for automated square footage calculation Geometry Access Provisioning Legacy Data Status SSRS Reports

Phase II - Results Manage Paint Schedules and Locations

Phase II - Results Add Paint Coats and General Notes

Phase II - Results Manage Paint Work Orders

Initiate Notifications (real-time notifications for state changes) Phase II - Results Initiate Notifications (real-time notifications for state changes) New In Planning In Review Deleted

Phase II - Results Robust reporting through SQL Reporting Services

Phase II – Key Points Aras Innovator provided an excellent foundation Lifecycle, workflow, user management, data management, and email/notification management are already included and easy to configure Allowed the project team to focus on the more complex problems with paint Aras provided an API that allowed us to sync large amounts of external data sources into the Aras system Utilizing the ShipConstructor database structure to pull part information by unit Calculate percentages of square footage for those rooms split by unit Autocorrecting room boundaries that overlap Syncing large datasets of provisioning data to be worked on a nightly basis

Conclusions/Next Steps Consolidated digital paint process utilizes a single data management tool across all ship programs Effectively uses the prior investments in the PLM platform to drive additional process improvements Leverages digital thread/digital twin concepts to integrate the product model into the downstream planning and production processes Similar concepts can be employed for other processes to drive additional value

Questions?