Ensuring Success with Simulation

Simulation is an approximation of reality, the level to which it mimics reality depends on the tool and method used to implement the simulation model. The closer the simulation model mimics reality, the better its results and analysis are, while the faster the model is built and validated the greater the return on investment.

ABSTRACT:

The Eaton Cutler-Hammer facility has two separate areas of assembly. Eleven production lines compose the Load Center Assembly Area while 17 production lines compose the Metering/Meter Breaker/ACD Assembly Area. Currently, 11 fork trucks are used in the facility to bring parts from receiving to storage where they can be picked up when needed by the assembly lines. Fork trucks also take packaged goods from finished assembly to shipping. Fork truck drivers are often dedicated to one or two assembly lines in an attempt to meet their every need and to ensure that the assembly process does not incur downtime.

The manufacturing environment is faced with many challenges that must be properly identified, analyzed and optimized prior to implementing any operational changes. Because of the integrated nature of manufacturing environments, each component has the ability and possibility of affecting another component within the system. Due to the high inter-connectivity of the system, special attention must be paid to possible changes and how these changes affect overall system productivity and functionality. With Simcad Pro dynamic simulation, manufacturing operations have the ability to mitigate and reduce risk with the proper planning of processes prior to the implementation of changes.

Distribution Center Network Analysis

• Determine Optimal DC Locationsg
• Manage Inventory Levels and Delivery Requirements to ensure product availability
• Route and transportation method optimization