Agricultural Equipment – Paint System Simulation

Posted on July 30, 2013

cnhOne of our clients, a manufacturer of agricultural and construction equipment, had an existing combine component paint system which was not able to keep up with their projected sales. As a result, they had decided to redesign their paint system to enhance its capacity with a target of a +30% capacity increase.

Reason for Project:

  • Before investing in new paint system equipment ($3MM), the client wanted to model the system in order to quantify the impact of planned design changes. In addition, the client wanted to use the simulation model as a basis for the conveyor control system logic and to consider alternative load/unload station configurations.

Project Deliverables:

  • Created a computer simulation model (ProModel) of the conceptual paint system including the load/unload stations, power-and-free conveyor systems, prep and paint booths, cure ovens and cool-down operations.
  • Assisted in the system redesign efforts using the simulation model as a collaborative tool.
  • Worked with the controls engineers to document the planned software changes.

Project Results/Benefits:

  • Capacity Increase: Significantly increased the paint system capacity through the redesign efforts (30% improvement).
  • Investment Reduction: The model was used to redesign the e-coat dip process (crane sequence) so that an additional, planned $500,000 crane would not be required.
  • Control Systems Design: The project uncovered some existing controls system logic issues and was used as a basis for the new controls system logic for the power-and-free conveyors.

Petrochemical Industry – Maintenance Shop Complex Layout

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Our Client was evaluating several new locations for a new maintenance shop complex. The new complex would allow them to have machine shop and heavy craft personnel under one roof. Also, the new complex would reduce the risk of the worker by moving out of the “HOT” zone of the plant.

Reason for Project:

  • Our Client decided to hire an outside engineering consulting firm to study the work flow patterns of both the machine shop and heavy trades. The new facility will also allow trades to share equipment and reduce space requirements in the new shop.

Project Deliverables:

  • Put together process flow charts for the top six operations performed by both trades, identifying tools used during these process steps.
  • Flow intensive diagram showing the paths of each of the top six operations performed by the trades in the new maintenance shop complex. The diagram shows how often paths crossed and over all flow of materials through the shop.

Project Results/Benefits:

  • Productivity increased: Reduced the walking distance required to perform top six operations.
  • Cost Reductions: Reduction of the overall square footage required in the new maintenance shop complex verses current square footage used at the facility site.
  • Quality Improvement: The locations of the dirty operation were moved away from clean critical operations.

 

Bob Evans Farms, Inc. Compression Layout

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Bob Evans was evaluating the design of a new compressed restaurant layout concept.

Reason for Project:

  • Bob Evans wanted to evaluate the design of the new concept using their base simulation model already developed.

Project Deliverables:

  • Completion of an analysis of the new layout concept to understand opportunities for improvement in the kitchen system design.
  • Recommendations for improving the kitchen systems based upon the initial analyses.

Project Results/Benefits:

  • Validated Planned Design: Validated the expected performance associated with the compressed layout design.
  • Capacity Improvement: Identified simple modifications to the kitchen that would increase the peak-period capacity by 20% (no additional staff).
  • Capacity Improvement: Quantified the expected benefits of changes in the order controls system, simple equipment and staffing for an overall capacity increase potential of 41%.

Mimi’s Cafe HP Kitchen Model

Posted on July 29, 2013

MimisCafeMimi’s Café had a need to use simulation modeling as a tool for enhancing and evaluating the existing design and decision-making process.  Bob Evans, the parent company of Mimi’s Café, is a publicly traded restaurant that retails food products organization with operations across the country. Historically, kitchen operations improvement efforts have been developed through the use of kitchen “mock-ups” at an existing restaurant which is labor intensive and slow to implement.

Reason for Project:

  • Mimi’s wanted a simulation platform of base restaurant operations that could be used to investigate the use of simulation in evaluating different layouts, recipe/processes and menu mix scenarios.

 Project Deliverables:

  • Development of an accurate computer simulation model of their back-of-house kitchen operations (two major layout variations).
  • Completion of a base analysis to understand opportunities for improvement in the kitchen system design.
  • Recommendations for improving the kitchen systems based upon the initial analyses.

 Project Results/Benefits:

  • Ticket Time Reductions: The model demonstrated how food order delays could be reduced by up to 10 minutes during peak periods through the redesign of the order handling system.
  • Layout Evaluation: The model identified the “best” kitchen layout configuration option (quantified benefits).
  • Equipment Comparison: The model identified the impact of upgraded kitchen equipment on the ticket times, ticket backups and food quality.
  • Labor Evaluation: The model quantified the potential benefits associated with adding a “floater” cook during peak periods of the day/week.

Bob Evans Farms, Inc. High Performance Kitchen Model

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Bob Evans is a publicly traded restaurant and retail food products organization with operations across the country. Historically, kitchen operations improvement efforts have been developed through the use of kitchen “mock-ups” at an existing restaurant which is labor intensive, disruptive and slow to implement.

Project Deliverables:

  • Development of an accurate computer simulation model of their back-of-house kitchen operations (three major layout variations).
  • Completion of a base analysis to understand opportunities for improvement in the kitchen system design.
  • Recommendations for improving the kitchen systems based upon the initial analyses.

 Project Results/Benefits:

  • Ticket Time Reductions: Identified an 18% average improvement in fulfilling orders through modifications to how orders are released into the kitchen.
  • Layout Evaluation: Evaluated the three layout variations and determined the “best” layout option (quantified benefits).
  • Equipment Comparison: Identified alternative griddle sizes that would increase the peak-period kitchen capacity in certain regions of the country.
  • Labor Evaluation: Quantified the potential benefits associated with alternative staffing level and assignments.

Consumer Goods – Process Improvement

Posted on July 28, 2013

Epicenter’s client owns several floor care brands.  This project was focused on their Distribution Center (DC) in Northeast Ohio.  This DC fulfills orders of replacement parts and finished goods for their retail partners and several web retailers, including their own ecommerce business.  As consumer web orders have increased, the pick-to-ship cycle times and order backlogs have increased.

Reason for Project:

  • Our client desired to decrease their turnaround time in their small goods shipping department in order to increase efficiency, increase customer satisfaction, and reduce the need for temporary employees.

Project Deliverables:

  • Developed a list of inefficiencies in each area of the small parcel shipping department.
  • Presented a plan to address the inefficiencies and to restructure personnel scheduling to increase efficiency.

 Project Results/Benefits:

  • Productivity increased: Estimated parcel cycle time reduction of 40%.
  • Capacity increased: Estimated  elimination of order backlog – all orders to be shipped the day they are  received.  The client’s goal is to have orders out within 48 hours of receipt. This would allow them to double their business while still meeting their service goals.
  • Staffing Cost Reduction: Estimated reduction of two 40 hour/week temporary employees.