is tailored for
each clients needs. There are virtually no inherent limitations on
the number of products, production facilities, transportation modes/carriers,
or constraints which can be accommodated.
has only one objective -- to create the maximum profit from any sales volume. There is no other product on the market today which can do as much
for your bottom line. Recently was set-up to optimize the production, distribution, and transportation requirements of a beverage manufacturer with multiple production facilities and a three-tier national distribution system. The objective was to maximize profits while simultaneously supplying all forecasted demand. There were several non-economic constraints, as well as issues of product shelf-life, and shortages in production capacity during peak demand periods which needed to be considered. Under these conditions the configuration of included the following: |
Entity | Maximum Quantity |
|||
Product Related | ||||
Brands | 100 |
|||
Commodities | 600 |
|||
Container Types | 100 |
|||
Container Codes | 200 |
|||
Lid/Label Types | 400 |
|||
Package Codes | 300 |
|||
Product Codes | 1000 |
|||
Transportation and Handling | ||||
Carriers | 500 |
|||
Carrier Commitments | 500 |
|||
Loading Constraints | 3000 |
|||
Load Modes | 100 |
|||
Ship Routes | 8000 |
|||
Vehicle Types | 100 |
|||
Capacity Related | ||||
Capacity Constraints | 2000 |
|||
Locations | 1000 |
|||
LineShifts | 200 |
|||
Optimization Days | 420 |
The model functioned in a open client/server application. The input consisted of twenty- seven input tables derived from an enterprise-wide Oracle database. The output consisted of the eight output tables that were provided to the Oracle database: Master Orders, Inventory Plan, Capacity Utilization, Transportation Plan, Allocation Plan, Split Pallet Plan, Expired Product Plan, and Production Schedule. |
Production to
Retail
Optimization