Supply chains are often an intricate and complicated system. Because there are so many different components that must be taken into account when examining a supply chain, it is useful to user Simcad Pro's patented dynamic simulation software. Simcad Pro allows the users to see the supply chain as a whole to make improvements in overall efficiency and accuracy, which in turn helps to cut costs and eliminate wasted time.

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.

Next generation dynamic simulator operates under an entirely different paradigm than traditional static tools. The graphical interface used to build models does not generate or compile code since it interfaces directly with the multi-core simulation engine. When the simulation starts, the animation instantly displays, both in 2D and 3D , the current state of the engine. As inefficiencies develop, real time modifications can be made to model properties and constraints. These “on-the-fly” changes allow users to instantly realize potential gains and perform dynamic optimization.

With rising costs in manufacturing, it is important to make every effort to reduce bottlenecks, improve efficiency and utilize resources fully. Simcad Pro is a sophisticated dynamic simulation engine that can be utilized to improve the overall efficiency of an assembly line. Users of Simcad Pro have experienced increased efficiency, effectiveness and accuracy within their assembly lines, meaning increased profits. Additionally, staff allocation and shifts can be better forecast and analyzed, reducing the overall cost of the operation while increasing utilization of available resources.