Mfg. of Plastic Films/Aluminum Extrusions
Oracle Demand Planning alongside JD Edwards ERP helped this global manufacturer reduce cycle time by a whopping 83%.
This is a large manufacturer of plastic films and aluminum extrusions that serves a global community. With approximately 2,800 employees, the company operates manufacturing facilities in North America, South America, Europe, and Asia. The company is publicly held and operates five lines of business.
The Challenges
This organization is committed to the efficient production and distribution of safe products for the communities they serve. To ensure the highest quality standards were met, and planning was smart, they needed an efficient demand planning solution that would automate their flow to supply planning and communicate across the enterprise. Forecasting in their business is critical and using multiple forecasting sheets was cumbersome and left room for costly errors. Collaboration across multiple departments was hindered by the processes in place. They chose Oracle’s Demand Planning solution to improve their processes.
The ArganoCSS Approach
ArganoCSS recognized the need for improved, integrated demand planning at this organization. The ArganoCSS implementation of integrated demand planning gave the company the ability to sense, plan for, and proactively respond to demand by sharing a one-number plan that aligned their organization across departments and users. ArganoCSS’ depth of knowledge implementing the solution alongside JD Edwards, also meant the project was run efficiently and on-time.
The Results
This global manufacturer implemented Demand Planning, creating a best-in-class integrated planning engine that gave planners and managers the information and planning tools they needed to take command of day-to-day planning processes and communicate across departments effectively and with a single source of truth.
With improvements in forecast error reduction by 2-5 points, and overall inventory reduction of 1 day, advanced metrics, and elimination of multiple spreadsheets, their demand planning allowed them to reduce cycle time from 30 days to 5 days.