Key results

Solution

To address these challenges and achieve the goals, we embarked on creating a digital product aimed at enhancing centerline management. The approach involved optimizing for a wider range of raw input parameters and empowering operators through real-time visualizations of relevant operating conditions. We prioritized features using a blend of MoSCoW and Value vs Effort frameworks, where must-haves with minimal effort received the highest priority, followed by must-haves with larger effort.

PROCESS:

We conducted intensive Domain Driven Design (DDD) and Event Storming sessions over 2 days to uncover the solution. Led by a Solution Architect and Anchor Engineer, these sessions aimed to understand the business problem using a blank slate approach and a common language with McCain stakeholders. The goal was to create a solution accessible to stakeholders with varying technical knowledge, addressing end-user pain points. Diagrams illustrating the outcomes of the DDD and Event Storming sessions are provided below.

IMPLEMENTATION:

We integrated PowerApps for the front-end interface and utilized JavaScript for backend API development, deployed on Azure Container Apps. APIs were accessible via Azure API Management, with security enhanced by an Application Gateway featuring a Web Application Firewall (WAF). We outlined the data processing workflow, established the data interaction model, devised mechanisms for tracking CL deviations, and set up protocols for dispatching CL deviation alerts. The solution architecture focused on OSI PI Data Ingestion, Power Platform Data Exchange, and Production Schedule Synchronization.

Outcome

Through our partnership with McCain's digital innovation team, we significantly boosted manufacturing throughput by streamlining workflows, optimizing resource allocation, and leveraging real-time data insights, increasing product output without compromising quality. Within 6 months, we transformed the plant from paper-based information sharing to a fully digital system featuring 60-inch displays showing real-time updates and tablets for operator access. Through predictive maintenance algorithms and IoT sensors, unplanned downtime was minimized, ensuring continuous production and maximum equipment uptime. Robust data collection and advanced analytics techniques further empowered McCain to identify optimization opportunities, driving continuous improvement and enhancing overall efficiency, quality, and profitability.

This case study showcases how agile transformation can rapidly deliver results in complex manufacturing environments. Through the strategic integration of cutting-edge technologies and collaborative development methodologies, we moved from concept to implementation in just 6 months. By the project's end, we had not only built the solution but also helped McCain's new MDI team onboard and trained a group of product owners who continue to drive digital initiatives forward. This achievement demonstrates how our agile approach helps large-scale projects achieve faster results while building lasting capabilities within organizations.