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• Material Handling
• Warehousing and Distribution
• Semiconductor
• Food processing
• Consumer products

• Reducing or eliminating costly design expenses by thoroughly analyzing a new system prior to construction and implementation.
• Developing the most cost effective redesign and expansion of existing facilities by thoroughly designing and testing alternatives.
• Creating conceptual design animations which are used to describe and/or depict a prototype or development system.
• Significantly reducing implementation time by determining the best control system strategies to be employed. Control algorithms can be developed, tested and debugged in the simulation model and in many cases implemented directly into the control system code.

Well designed front end user menus can be easily added to the simulation model so that the user may continue to utilize the simulation long after the project is implemented.

Consolidated Mail Order Pharmacy (CMOP) - Pharmaceutical Order Filling

Provide a simulation model of the proposed system design.  This new system was larger and had more throughput requirements of any prescription filling system in the industry.

What was modeled:	Used the simulation model to explicitly design:
Tote Conveyors Automated Pill Counting Machines Automated Unit of Use Machine Quality Checking Packing Operation	the conveyor system transfer points full and empty tote routing logic number and location of order induction points automated equipment layout number of quality and packing personnel

Provide a simulation model of an existing dock operation of a Bakery.   Needed to determine how many AGV vehicles were needed as well as the optimal track layout required.

What was modeled:	Used the simulation model to explicitly design:
Automated Guided Vehicles (AGVS) Semi-Trailers Palletizing Equipment Stackers and DeStackers	the AGVS system layout the number of AGV vehicles required the best number of truck docks expected truck load and unload time

Provide a simulation model of a proposed pick and pack system .  The objective was to determine if the conveyor system could handle to case traffic at the merge and divert points and to determine the size and logic of the divert into each pick area case queue.

What was modeled:	Used the simulation model to explicitly design:
Case Conveyor Carousels - 2 Pods & Pick tables Picking Operators Picking areas	the merge and divert points on the conveyor the number of picking operators the size and divert logic into each pick area the range of order profiles which the system operated best.  (Access Front End)