What is Simulation?

Simulation of your existing or proposed system helps you cost-justify your decision to improve the productivity of your system. Advanced computer simulation modeling is the economical decision-making tool that allows you to understand and visualize the effects of change and the resulting costs prior to implementation.


Why Hire BIC for Your Simulation Needs?


For over 20 years, BIC has been providing simulation modeling services. We have completed over 100 simulation projects achieving significant productivity gains and ROI for OEMs, suppliers, and systems integrators in diverse industries such as hospitality, lojistics, transportation, financial services, healthcare, and industrial manufacturing.

The increasingly competitive nature of today's business and manufacturing environment demands agile engineering, manufacturing, and supply chain systems. BIC's expertise in simulation coupled with other related data-driven productivity solutions helps you meet those demands.

Our simulation services are based on BIC's time-tested discrete-event simulation modeling and analysis methodology.

Manufacturing Simulation Applications - Assembly Line Simulation, Manufacturing System Simulation, Packaging Line Simulation.

Transportation and Supply Chain Applications - Airport Simulation, Inventory Simulation, Logistics Simulation, Passenger Flow Simulation, Supply Chain Network Simulation, Transportation Network Simulation.

Building Design and Pedestrian Flow Simulation Applications – Office Building/Lobby Simulation, Retail Center Simulation, Transportation Facilities Simulation (Airport/Bus/Subway/Train/Ferry Terminals), Healthcare Facilities Simulation, Retail Banking Customer Services, Visitor Experience


CASE I - RETAIL BANKING

Problem:

Large retail bank (more than 3500+ branches) is having service problems in the most of the branches where customers not happy with long wait times and branch productivities (high/low staffs, distribution of staff etc.) are not at the desired levels. The main objective was to identify and implement the solutions which will minimize the customer wait times and increase the satisfactions:

• Reduce customer wait times (Wait time: 25 Min – Problem branches)
• Standardize the process times at the windows (Average time: 3 Min)
• Increase the new referrals (Average: .3 successful sales / teller)
• Increase customer satisfaction (Average: 80%)

Solution:

Developed a detailed branch simulation model in order to test the various scenarios and identify the expected benefits before implementation.

 

Benefits:

The new solutions implemented within 2 years in branches and the following achieved:
 

• Workforce savings in $ Multi Million  and $ Multi Million in cost avoidance
• Increased staff satisfaction and retention.
• Customer wait times reduced less than 8 min (problem branches!)
• Process times at windows reduced and variations minimized (Avg. 2 min)
• New product sales increased (Avg. 1.5 success / teller)
• Customer satisfaction increased (Avg. over 93%)
• Other benefits: reduced end of day problems, loss of customer etc.

CASE II - MANUFACTURING

Problem:

One of the world’s leading office products companies, wanted to improve their operations in several manufacturing sites by implementing lean solutions to improve the following: 

• Reduce the cost per sheet (Cost” $.14/sheet)
• Improve machine and operator productivities (Avg. 50%)
• Reduce total lead time (Avg. 7 days)
• Increase the production capacity and reduce the WIP inventories (Capacity: 800K / week)

Solution:

New lean manufacturing system was designed and tested using simulation modeling and lean tools. The following provided: 

• New production cells
• Kanban system
• Define the operating rules and test the new system
• Develop the new layout
• Train all the employees and implement the solutions

Benefits:

The system-lean manufacturing line designed and implemented in three months and the following achieved: 

• Unit cost reduced: $.10 / sheet (After 1. week) - $.08 / sheet
• Machine and operator productivity: 75% and more
• Total Lead time: Average 5 hours
• Production Capacity: 1.6M Sheets / Week
• WIP reduced by 75%

CASE III - MUSEUM HOSPITALITY

Problem:

Well known museum in Los Angeles wanted to redesign and test the vehicle traffic and guest management scenarios in order to improve guest experience while reducing traffic inside the museum and maximizing the capacity. The following to be expected:
 

• Decision making in Ticket verification
• Investigating effects of the ticket collection process
• Reducing customer wait times in queues
• Enhancing service levels
• Examining parking structure and other facility loads throughout the day
• Examining parking structure and other facility loads throughout the day
• Investigating the impact of such environmental factors as congestion on the Pacific Coast Highway (PCH)
• Designing events to within the physical constraints of the museum

Solution:

Developed a flexible decision making tool to provide what-if capabilities for the museum management.
 

Benefits:

Easy to use tool to define operational rules with bottleneck sequences and better guest experiences: 

• The key performance metrics identified
• Daily operating capacity determined
• Simulation based planning tool is provided for management
• Critical processes and resources identified

nDeveloped a flexible decision making tool via simulation modeling to provide what-if capabilities for the airport management. The tool should be able to use the flight schedule and the operational rules to answer the above questions. 


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Benefits:

Easy to use tool to define operational rules with bottleneck sequences and better passenger experiences:

• Terminal resource requirements determined in order to serve for the maximum capacity.
• Daily operating rules defined to minimize the passenger wait times at the critical process points.
• Simulation based planning tool is provided for management.n

For More Case Studies, Please contact us. 

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