ProModel/MedModel 2018 What’s New Webinar

2018 What's New Header

We will be conducting a live ProModel / MedModel 2018 Release Webinar on Wed Nov 15 from 1-2 pm ET.

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The webinar will give you a look at the updated look and feel of the application’s more modern, fluent user interface that provides more ease and control of your model building experience. This significant version will include such features as a Ribbon Toolbar, Docking Windows, and Right-Click Context Menus as described below:

  • Ribbon Toolbar: The traditional menus and toolbars are being replaced with a fluent Ribbon toolbar like you find in Microsoft Office applications. The new Ribbon will make it easier to access the various modules and features within the application and better facilitate touch screen and high-resolution devices.

Ribbon Toobar screen shot

  • Docking Windows: Windows will be docked within the new workspace interface, which means that when you adjust the size of one window, the others automatically resize accordingly. Say goodbye to overlapping windows. You will also be able to stack windows on top of each other and quickly access them from their respective tab thus saving valuable view space.

Dock Screen Shot

  • Right-Click Context Menus:  Context menus will be available in every table and accessible by right-clicking in any field within that table. For example, you will be able to quickly delete, insert or move a record with a simple right-click of the mouse.

Right Click Screen Shot

Join the webinar to hear all about what’s new in the ProModel / MedModel 2018 Release on Wed Nov 15 from 1-2 pm ET.

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Increasing Use of Custom ProModel Integration Yields Big Benefits

2017-06-20 09_21_16-Keith Knudsen

Keith Knudsen ProModel Project Manager

Traditional Modeling Provides Great Benefits, But Can Do More…

Over the past 29 years, ProModel users across a spectrum of industries have demonstrated the value that modeling can bring to an organization. Just a few examples include:

  • A leading manufacturer of oilfield equipment who modeled their existing location to identify ways to optimize their processes and gained a 45% throughput increase
  • Shipbuilding companies that have used our traditional modeling to improve shipyard production and capacity planning
  • Hospitals that have used MedModel for decades to improve patient flow.

Increasingly, however, ProModel customers are looking to extend these benefits by integrating their models with other IT systems to develop web-based decision support tools. These model-based tools utilize a ProModel engine on a server, read in live data and utilize ProModel simulation and optimization capabilities to provide forecasting, automated scenario exploration and prescriptive suggestions.

Custom Integration Amplifies The Value of a Good Model

Whether created by ProModel consultants or in-house analysts, a good model (traditional or integrated) is composed of several key elements as shown below.

Custom Dev Integration Model Architecture

  1. Process Forecasting: A good model simulates an important business process in a concise way, at an appropriate level of abstraction, and provides accurate forecasting to inform key business decision making.
  2. Operational Data: To the extent possible, a good model brings together real-world data (typically from several sources) that has been validated and normalized. Operational data feeds the model, but also is mined for distributions, patterns and trends that improve the model’s predictive and prescriptive fidelity.
  3. Resources & Constraints: Every business process has factors which throttle its throughput – often in non-linear and sometimes unexpected ways. A good model can forecast the impact of changes to resources and other constraints.
  4. Business Priorities: Providing information about business priorities allows a good model to do two things: a) predict and notify users about problems and opportunities, and b) utilize automated scenario creation and optimization to explore alternatives and seek decisions that lead to most optimal outcomes.
  5. Prescriptive Analytics: A good model provides the prescriptive information to key decision makers as early as possible to support effective planning. These improved plans then feed back into the system as operational decisions and changes to resourcing, process and priorities.

Custom integrated model(s) take all of the above, integrate it with live data and makes its power available in a live, web-based format so that tactical decision-makers at all levels of the organization can utilize it. In a live integrated environment, prescriptive analytics can be provided daily or even hourly in support of near real-time decision-making.

A Growing Portfolio of Proven Custom Integration Success Stories

ProModel has now developed about half a dozen custom predictive prescriptive platforms with direct integration of the ProModel server into the customer’s operational IT environment.  Examples include:

  • Shipyard Manufacturing Capacity Planning: AREAS
  • Supply Chain Planning: DST
  • Personnel Readiness: AST
  • Hospital Patient Flow Optimization: FutureFlow Rx

AREAS capacity planning capability was featured in the Signal Magazine on page 2. The article states that Ingalls Shipbuilding estimated a potential annual cost savings of just under $1M from the use of this tool.

Benefits of Integrating Models With Live Data Systems

Benefits of a custom integration of ProModel include:

  • Pulls operational data to support strategic planning on an ongoing basis
  • Automatically projects “strategic what-ifs” (changes to resourcing, facilities or sales) to show true impact on “daily tactical decisions”
  • Ties strategic targets to operational decisions, and continuously explores alternatives to provide early warning of opportunities and risks.

For More Information…

Contact saleshelp@promodel.com if you are interested in learning more about custom model integration.

ProModel AutoCAD App for Warehouses and Distribution Centers

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Steve Courtney, ProModel Sr. Consultant

I have several years of experience in supply chain and logistics modeling helping clients who have large warehouses and distribution centers.  These models are often very large (thousands or tens of thousands of locations), which can be very time consuming to model.  I’ve found the old adage to be very true: “Necessity is the Mother of Invention”, so I developed a ProModel App that is used from within AutoCAD which enables us to quickly build the graphical portions of the model using OLE automation.  This capability is also very useful when experimenting with several different layouts.

The types of Warehouse / DC modeling questions that can be answered include:

  • Slotting questions – where should my SKUs go?
  • Racking questions – which type of racking is best (flow rack, bin shelving, single pallet deep, double pallet deep, drive-in racking, etc.)?
  • How high should our racking go 5 levels, 7 levels, etc?
  • Which material handling devices are best – narrow aisle, forklifts, single/double/triple pallet jack, reach trucks, side loaders, clamp trucks, electric/propane/natural gas, etc.?
  • Staffing questions – how many of each type and when?

I recently gave a webinar on this topic which you can view here

The requirements for using the app include:

  • Current AutoCAD drawing
  • AutoCAD not AutoCAD Light
  • Know where each location is physically on the drawing
  • Location levels 2-X should be mapped to the level 1 location
  • Build indexed location file in the order you plan to add to the drawing
  • Know which material handling device accesses each location

If you would like to discuss this further, or have other ideas that can help us all improve warehouse and distribution center modeling, please comment below.  Thanks and Happy Modeling!

Thanks, Steve Courtney

 

Oilfield Equipment Manufacturer Optimizes New Facility Design

CHALLENGES

A leader in the design, manufacture, and supply of oilfield equipment had recently purchased land to build a world class manufacturing facility.  The new location would be designed to capture future growth but needed to be sized correctly; not a wasteful over-construction yet not too small at the same time.

The senior executive team thought simulation modeling would allow them to analyze their manufacturing processes, identify bottlenecks, capture productivity improvements, and properly size the new facility.  After a lengthy vendor sourcing exercise, ProModel Corporation was selected as the best provider to answer this modeling challenge.

OBJECTIVES

  • Model the existing manufacturing processes
  • Identify current process constraints using various customer demand scenarios
  • Simulate maximum throughput potential with the current processes and equipment layout
  • Using LEAN process improvement skills, simulate a more productive manufacturing process and scale that upward to capture growth
  • Simulate the new manufacturing facility and validate the desired growth rates. Upon completion of this step, the layout would be given to the architects for structural design.

VALUE PROVIDED

  • Immediate identification of a critical bottleneck that once resolved, increased cell throughput by 53% and overall production by 19%
  • Throughput has grown 45% since the launch of the initiative due to a much better understanding of their manufacturing methods and related constraints
  • Manufacturing standards used by the production planning team were far from accurate thus creating a workflow imbalance
  • Equipment previously slated for purchase was determined to add no throughput benefit thus saving several hundred thousand in capital expenditures
  • Numerous future state layouts were modeled thus allowing the team to ultimately select the most productive equipment arrangements
  • The simulation model became a powerful sales tool with customers; understanding the flow in the facility and how it could absorb their incremental orders
  • Even during a severe industry downturn, the company continued to capture market share due to improved manufacturing methods.

SOLUTION

A ProModel senior consultant worked with the engineering staff to build dynamic models of their current production facility and planned future construction.

First, a dynamic flexible model of the existing facility was created and validated.  That model was used to define the true capacity of the existing facility, analyze current constraints, evaluate capital improvement options, and test new LEAN concepts that were under consideration for the current and future facility.

A major challenge to creating the model was accommodating the tremendous variety of products manufactured.  A user friendly interface for running the model was developed to provide the ability to run any variation of mix/demand against several operational configurations.

The key learnings from the existing facility model were then applied to the new facility design.  Alternate facility layouts and new material handling concepts were evaluated to ensure the plant of the future would meet all capacity targets.

3D Animation of a Portion of the Plant

3D Animation of a Portion of the Plant

 

Brazilian Academic Simulation Awards Given in Honor of Rob Bateman

ProModel friends and associates, last October 12 we lost a dear friend, Rob Bateman and it is very hard to believe that a year has already passed.  Coincidentally, just a few days before the loss of our colleague, on October 6, 2015, the first ever ‘Rob Bateman’ award was delivered in the city of Joao Pessoa (north east coast of Brazil).  Here is the web site of the event:  http://www.abepro.org.br/enegep/2016/index.asp.  The Simula Brazil is a national award for simulation systems, organized and hosted by the portal “www.simulacao.net” which is sponsored by the Belge Consulting (www.belge.com.br). The award has institutional support of ABEPRO (www.abepro.org.br) and SOBRAPO (www.sobrapo.org.br) and is linked to the National Production Engineering Meeting (ENEGEP).

This award aims to encourage young students to use more simulation technology to develop projects and analyze real or fictitious situations through the use of the ProModel modeling and simulation technology (ProModel® or MedModel®) as well as assisting teachers with simulation education. The hope is that this practice will allow for better industrial engineering courses using ProModel and more simulation use in local companies, as well.  This year the award was given to the following recipients:

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Marcelo Fugihara of Belge presenting the award for originality to Jacyszyn Bachega of Universidade Federa de Goias

 

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Marcelo Fugihara of Belge presenting the award for complexity to Thiago Fernando Rosa Tedoro and Professor Jose Lazaro Ferraz of Universidade FACENS

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

all-students

Here is a photo of all of the students in attendance at the event, called Enegep –  Encontro Nacional de Engenharia de Produção

We hope that this award in some small way pays tribute to our friend Rob Bateman.

Your friend in Simulation,

Alain de Norman & Belge team.

Teaching Supply Chain Management with ProModel

profshannonPatrick W. Shannon, Ph.D., is a professor of operations and supply chain management at Boise State University. He taught graduate and undergraduate courses in business statistics, quality management, lean manufacturing and other areas of operations and supply chain management. Professor Shannon developed a curriculum for his supply chain class, using ProModel Simulation which he used for over 10 years.

To provide you some insight into how you can use ProModel in the classroom, Professor Shannon was kind enough to allow us to share the materials he used.

Attached are PDFs of his course materials.

  1. Tri-Star Manufacturing: A Case Study in Lean Implementation
  2. The Tri-Star Simulation Model
  3. Project Requirements and Rules
  4. ProModel Instructions

Dr. Shannon served as dean of the College of Business and Economics from 2008-2014 and has lectured and consulted on statistics, lean manufacturing and quality management, project management, statistical modeling, and demand forecasting for over thirty years. He has co-authored 11 university level textbooks, and he has published numerous articles in such journals as Decision Sciences Journal of Innovative Education, Business Horizons, Transportation Research Record, Interfaces, Journal of Simulation, Journal of Production and Inventory Control, Quality Progress, and Journal of Marketing Research, Quality Management Journal, and The International Journal of Quality and Reliability Management.

He completed his BS and MS at the University of Montana and his Ph.D. in Statistics and Quantitative Methods at the University of Oregon. In 2015 he presented at the National Kidney Registry (NKR) Symposium in New York City. The presentation, authored by Shannon and Phil Fry, professor of operations management, is titled “Kidney Life Years” and describes the research Fry and Shannon have conducted with the NKR. The purpose of the research is to develop a statistical model to identify the donor characteristics that impact the length of time live donor kidney transplant will last.

Click here to view his LinkedIn Profile.

If you are a professor interested in learning more about ProModel’s Academic offerings, please email cbunker@promodel.com for more information.  You may also check out the following: www.promodel.com/industries/academic

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One Way Automotive Manufacturers Can Meet the Challenges of a Rapidly Changing Market

The automotive industry is likely to change more in the next 10 years than it has in the previous 50. It seems like in so many industries today including technology, entertainment, and consumer products, change at a very rapid pace.  The auto industry is by far no exception.  There are many new entrants into car making, add to that self-driving vehicles, electric cars, and car sharing just to name a few.  All these factors are providing increased competition.  Not to mention the rapidly fluctuating price of gasoline.  With instability in the Middle-East and increased oil production in the US and other parts of the world, who knows how that may change in the next 6 months.  There is no doubt that reacting quickly and strategically to these rapid demand shifts will be an absolute priority for auto leaders in 2016.

Simulation is a tool that can help automakers accommodate these rapid changes and develop scenarios for planning for the uncertainties that may occur.

Consider that a US plant reduced its work force by 20% in 2010 during the recession.  Not only that, but floor space has been re-arranged to accommodate those reductions.  Now in this post-recession period the demand for vehicles from this plant is increasing rapidly.  How do you meet that demand with the existing workforce? Can you build the number of vehicles necessary without moving lines or cells around again and hiring more workers?  If you do hire, which positions, how many, and on what shifts do you need more FTEs?  Simulation can help you make these decisions more confidently.  Here are some ways in which it has already been done.

The Rim Assembly Model

A large automotive component manufacturer experienced difficulties reaching a desired line speed.  The operation involved mating a set of tires with rims for multiple manufacturers.  The line was consistently under producing and management wanted the problem solved now!  Given the interactions between the various parts of the line, it was difficult to assess which component was the actual bottleneck. Only a limited number of things could be changed, so the objective was to find what modification to the line was possible to achieve improved speed in a short period of time with as little capital investment as possible.  The following modifications were tested:

  • Sequence the tires to the lean cells. The baseline was for tires one and two to go to lean cell one and tires three and four to go to lean cell two.
  • Shorten the load time between rims by staffing and laying out load position differently
  • Use only one lean cell
  • Eliminate the use of “switch-outs” where a failed mating between rim and tire at the lean cell required that the lean cell be stopped
  • Adjust the tire feed spur lengths

The largest gain in line rate required three changes: the time between rim arrivals was reduced from 23 seconds to 16 seconds, the elimination of switch-outs and the lengthening of tire feed spur lengths.

These modifications allowed the client to get to the desired line rate and the model was developed and results were submitted within 5 days. View the video for a quick sample of the model.

Check out one of our success stories about another auto manufacturer: Tofus-FIAT Realizes 48% Reduction in WIP with ProModel Simulation. This solution story is available among many from our online library. Many solution and model videos are also available on our YouTube Channel. If you would like to learn more about ProModel solutions contact us.

Other References:
http://www.weforum.org/agenda/2016/01/the-next-revolution-in-the-car-industry
http://www.mckinsey.com/industries/automotive-and-assembly/our-insights/a-road-map-to-the-future-for-the-auto-industry