Consumer Products Industries
Multi-plant scheduling, demand intelligence, and network modeling for consumer goods manufacturers
Multi-plant planning and operations intelligence for consumer goods
Consumer goods manufacturers operate across networks of plants, warehouses, and distribution channels where demand variability, raw material costs, and freight economics shift constantly. Planning decisions made months in advance — network configuration, production allocation, inventory positioning — determine whether margins hold or erode.
ADecTec uses LAMPS, our logistics and manufacturing planning platform, to optimize these decisions using data already in your ERP, manufacturing-execution, and intelligence systems. LAMPS plans production and logistics across multiple facilities up to 15 months in advance, integrating S&OP, master scheduling, machine scheduling, and network optimization in a single system.
Demonstrated results across consumer goods engagements: $20M+ in logistics and transportation savings validated for a national manufacturer through end-to-end network modeling; $3M/year in sustained production savings through synchronized scheduling and WIP reduction; forecast accuracy lifted from 65% to 76% with 20% inventory reduction; $2.4M annually in shipping cost reduction through order policy redesign.
LAMPS planning capabilities for consumer goods manufacturers
- Extensive sales and operations planning (S&OP) capabilities
- Automatic optimization of raw materials, schedules, and supply chains structured to meet demand
- Advanced capacity planning up to 15 months in advance with "ship-from" or "ship-to" based demand
- Master production scheduling up to 20 weeks in advance
- Real time, synchronized machine scheduling
- The only solution offering advanced capacity planning based on geography — find the most cost-effective locations for production
Make faster and smarter decisions with the facts at hand
When challenged with making critical decisions about multi-stage, multi-location production, LAMPS becomes indispensable in answering questions such as:
- What is the best raw-material sourcing strategy?
- How should production change if demand patterns, manufacturing costs, or freight costs change?
- How will the company's capability to meet demand change if a plant shuts down?
These are some of the questions ADecTec's planning and optimization engines answer for decision makers across the network.
Results from consumer goods engagements
Each engagement was built on operational data the client already owned, modeled to the specific economics of their network.
$20M+
Logistics and transportation savings validated for a national consumer products manufacturer through end-to-end network modeling.
$3M / year
Sustained production savings for a processed goods manufacturer through synchronized scheduling and reduced WIP inventory.
65% → 76%
Forecast accuracy improvement with 20% inventory reduction and no degradation in customer service levels.
$2.4M / year
Shipping cost reduction for a consumer products manufacturer through order policy redesign and truckload optimization.