Improving Production Planning a data-driven approach

Our customer is a leading systems integrator and installation company specializing in design & engineering, manufacturing, and qualification in a high-tech supply chain. Production demand was high, in combination with NPI planning was challenging. WeY was asked to support and teamed up with Bright Cape, one of our technology partners.

 

Customer Lamers High Tech Systems
Segment High tech industry
Improving Production Planning <span> a data-driven approach </span>

Challenges

  • Strained Supply Chain: The operational organization was under significant pressure due to a rapidly increasing customer demand.

  • Inefficient way of working Operations: Business operations teams were burdened by inefficiencies from repetitive tasks and a lack of meaningful insights from the system’s data.
  • System’s data gap: A critical gap was identified in the system, which was necessary for effective Master Production Schedule (MPS) implementation in the production process.

Approach & Outcomes

  • Collaboration across different departments, including Supply Chain Planning, Operations, and Customer Satisfaction, leading to the establishment of a robust weekly output reporting process.
  • Implementation of a Control Tower that leveraged automated reporting in Power BI. It facilitated efficient escalation management and provided valuable insights for in-depth root cause analysis.
  • Supported the Sales and Operations Planning (S&OP) process by creating a specialized tool for balancing supply and demand over a 12-week horizon. This improvement enhanced prioritization and significantly increased customer satisfaction.
  • To streamline planning and operations, other automation solutions were introduced. These automated processes resulted in substantial time savings of up to one hour per day.

Results

  • Improved planning efficiency, Increased on-time delivery

  • Impact in production output, Reduction in production delays, incidents, and rework

  • 7 hrs/day Saved in planning and operations as a result of automation