Case Study:
Production Schedule Optimization
This plastic extrusion manufacturer needed to reduce backorders, fast, so that they could take back control of the operations on the extrusion production line. With increasing demand combined with more product complexity, they needed to determine the best method for scheduling the right orders on the right lines at the right time.
We worked with the scheduling manager to build a program that used data from multiple systems and gave an output of an optimal sequence of jobs for a given day.
Overview
The Company
50+ Production Lines
4000+ unique SKUs
Over 2,500 open customer orders
Assessing the Landscape
The company has two planners who have been at the company for 20+ years. They make almost all planning decisions in their head and it is a very tedious process.
While the schedules they generate are effective, there is opportunity for further automation and optimization, to lighten the burden on the planning team.
Identifying Opportunity
About 250,000 lbs. of extruded PVC daily (on a good day)
Extremely high labor variability
Significant production line downtime
Results
Scheduling Time Reduction
Fill Rate
Target Goal: 80%
Benchmark: 75%
Backorder Elimination
The Solution
Scheduling Optimization
This data analytics solution brings an algorithm-based, optimized daily schedule that has reduced total average backorders to less than one per day. This helped them restore their industry-leading five-day lead time for all customers, despite significant increases in demand.
This approach, after being rolled out in one production area, is now being developed in other areas as well as other geographical facilities across the globe.
Operations Transformation
The company's success is fueled by a lean approach to operations. This includes shop floor leadership, scheduling optimization, process improvement, dashboarding and data-driven decisions, quality management, and more.
The AMEND Process
01.
Identify What Success Looks Like
After analyzing KPIs, we determined that striving to achieve zero backorders was indicative of success.
02.
Champion the Strategy
The C-Suite needs to buy-in and all employees need ownership in order to drive behavioral changes.
03.
Measure Results
Track whether the solution is working using dashboards and reporting tools that visualize the strategic goals.