Oops! Didn’t see that coming! Part 4

Monday, August 9, 2010 by Steve Hunt

This is the conclusion of Dave Roy’s guest blog, we hope you have found them informative. Again, Dave comes to us from SSPI, Six Sigma Professionals, Inc., and taught Jack Welch and his entire staff their Six Sigma Green Belt training. Also, look for Dave’s free live webcast on August 19th, Assessing your New Product, Process or Service Introduction Methodology: Is yours premier? Does it enable Six Sigma performance?



Oops! Didn’t see that coming! Part 4
 

 

As a continuation from the July blog, we are now concluding with the “Optimize” and “Validate” phases of the ICOV (Identify-Conceptualize-Optimize-Validate) framework of a rigorous new design process as explained in “Services Design for Six Sigma – A Roadmap for Excellence”.

 

These phases are important because it allows time and methodology to optimize the design, develop all of the detailed documentation, verify performance and capability under operating conditions and manage an orderly transition to the new state.

 

The Optimize phase consists of a single stage (Design Optimization) and associated Tollgate 5 to validate successful completion of the requirements. 

 

The Design Optimization stage involves completing all of the detailed design documentation, building Prototypes of the design, simulating/analyzing Process Capability, preparing all Control Plans and updating the Design and Process Scorecards.

 

Tollgate 5 Exit Criteria:

o    Agreement that functionality and performance meet the customers’ and business requirements under the intended operating conditions.

o    Approval to proceed with the Validate stage.

 

Formal tools which can be used in this phase are Design Scorecard, Process Management, Mistake Proofing, Simulation, Change Management, Control Plans, Reliability and Robustness.

 

The Validate phase consists of two stages (Verification and Launch Readiness) and associated Tollgates (6 and 7) to validate successful completion of the requirements. 

 

The Verification stage involves developing Pilot plans, Piloting the new design and process and analyzing and making adjustments to achieve the desired functionality and performance under operating conditions.

 

Tollgate 6 Exit Criteria:

o    Agreement that functionality and performance from the pilot meet the customers’ and business requirements under the intended operating conditions.

o    Approval to proceed with the Launch Readiness stage.

 

Formal tools which can be used in this phase are Design Scorecard, Process Management, Mistake Proofing, Change Management, Control Plans, Statistical Process Control (SPC), and Confidence Analysis.

 

The Launch Readiness stage involves developing Pilot plans, Piloting the new design and process and analyzing and making adjustments to achieve the desired functionality and performance under operating conditions.

 

Tollgate 7 Exit Criteria:

o    Agreement that transition plans and training plans have been developed and are executable.

o    Approval to proceed with the Production stage.

 

Formal tools which can be used in this phase are Transition Plans, Training Plans, Process management, Change Management and Control Plans.

 

Following the ICOV model we have now used a formal methodology that allows us to validate performance at progressive economical stages and have improved the ability to detect unknown risks thus avoiding the Oops! Didn’t see that coming!. It should be mentioned that the methodology should be flexible and scalable to adjust for level of invention and risk. A brand new invention (Research & Development) that has never been deployed in similar conditions is much different than implementing a known solution (Application Engineering) under new conditions.

 » Part 1
 » Part 2
 » Part 3
 

 

 

BIO:

 

David Roy is an integral part of the Six Sigma community. He taught GE’s Jack Welch and entire staff Six Sigma, as well as served as Senior Vice President of Textron Six Sigma. He is a Certified GE Master Black Belt, was instrumental in developing GE’s DMADV (DFSS) methodology, and has taught 3 waves of DFSS Black Belts. David holds an BS in Mechanical Engineering from The University of New Hampshire. He is also the co-author “Services Design for Six Sigma – A Roadmap for Excellence”

 

Prediction Markets

Tuesday, August 3, 2010 by Holly Bailey
Although they've been around for the last 20 years or so, prediction markets have begun to make news for their application in business operations. Heralded early on in books like James Surowiecki's The Wisdom of Crowds, prediction markets are a fascinating alternative to traditional forecasting methods, such Monte Carlo simulation, which extrapolate future events from past patterns.  Essentially a betting exchange where participants stake something on the accuracy of the information they offer up, a prediction market is a way of capturing emerging patterns. 
 
Prediction markets can be public or closed private exchanges, as in most business applications. Here's how it might work: a business sets up an online portal to gather intelligence from its employees on such issues as scheduling or production costs.  Each employee has a limited number of points to wager with the information he or she offers, and these points are value-at-risk, which means that an employee is likely to offer only information that is accurate enough to be worth the points. 
 
Why bother to play at all?  Darwinian competition.  With each winning piece of information, the participant gains collective respect.  Maybe he or she advances in rank on a leader board or maybe the company honors its top participants in a ceremony. 
 
While the accuracy of prediction markets is still a topic of some fairly warm debate in applied mathematics, a number of risk analysis services are concentrating their solution portfolios on predictive markets.  

Customised Solutions Using @RISK and VBA for Excel

Thursday, July 8, 2010 by DMUU Training Team
If you missed Palisade trainer Rishi Prabhakar's webcast "Customised Solutions Using @RISK and VBA for Excel," you can still view it in our archive.

The hour-long presentation explores the use of VBA for Microsoft Excel to control @RISK functionality, to simplify the process of risk analysis for resource-strapped businesses. Rishi explains the advantages (and limitations) of macro control for modelling and running simulations.

Simple examples are worked through to show the XDK (@RISK’s automation library) in action, from generic examples to a cost estimation model. This addresses elements of model construction, various simulation settings and finally reporting. The emphasis is on exposing the viewer to the various possibilities the XDK lends to the user rather than an in-depth VBA for Excel coding session.

Rishi Prabhakar holds a BSc in Mathematics from the University of Technology, Sydney Australia. Rishi has experience in the resources, infrastructure and primary industries, telecommunications, scientific research, banking and finance with an emphasis on operational risk.

With technical skills in the areas of modelling, simulation, statistical analysis, cost estimation, time series forecasting, customised solutions utilising VBA for Excel, and extreme value theory, Rishi has provided training and consulting services in risk and decision analysis for Palisade’s Asia Pacific office since 2005.


» Customised Solutions Using @RISK and VBA for Excel
» Webcast archive

@RISK Six Sigma calculator models the performance of a process with uncertain elements

Thursday, June 17, 2010 by Steve Hunt
Developed using the Six Sigma features of @RISK,
software for risk analysis using Monte Carlo simulation


Palisade’s Six Sigma Calculator allows you to create a function that models the performance of a process with uncertain elements. It allows you to include uncertainty around design factors through the use of probability distributions. It was built by Palisade Custom Development using the @RISK Developer’s Kit (RDK) to perform a Monte Carlo simulation so the following process capability metrics can be calculated: Cpk, Cpk Upper, Cpk Lower, Sigma Level, DPM, Cp, Ppk, Pp.

The RDK is Palisade’s widely-used risk analysis programming toolkit. It uses the features and functions of @RISK for Excel - the industry-leading risk analysis tool for spreadsheets. The RDK allows you to build Monte Carlo simulation models in your own applications using Windows and .NET programming languages, such as C, C#, C++, Visual Basic, or Visual Basic .NET. Examples of programs written in Windows and .NET programming languages are provided.

Palisade Custom Development services are used to build tailored applications for individual client needs using @RISK and other technology.

» Six Sigma Calculator
» More about using @RISK for Six Sigma
» More about using @RISK
» Palisade Custom Development

Oops! Didn’t see that coming! Part 2

Tuesday, June 15, 2010 by Steve Hunt

Guest blogger David Roy Six Sigma Professionals, Inc., and taught Jack Welch and his entire staff their Six Sigma Green Belt training. Dave also has a quick survey for your input on structuring DFSS training. brings us the second installment of his four-part blog. Dave comes to us from SSPI,

 

--Steve Hunt

 
Oops! Didn’t see that coming! Part 2

We’d like to ask for your guidance by completing a short marketing survey to help SSPI structure our training in a way that is most useful to our community. This 8 question survey should take less than 5 minutes, and is anonymous. Your opinions are greatly appreciated.

As a continuation from the May blog, we are now covering the “Identify” phase of the ICOV framework of a rigorous new design process.

This phase is important because it establishes the framework for the concept, establishes the level of rigor required for the project management process, estimates the development cost, collects the Customer and Business requirements and the criteria for success.

 

The level of project management needs to be flexible and scalable depending on the Level of Effort (cost) and the Level of Innovation (risk) of the new concept.

 

Surely a project that will take a month to develop and has been done elsewhere requires less rigor that a concept that will take 3 years to develop and represents a brand new invention which has never been done before.

 

The I phase consists of two Tollgates during which an objective steering committee will decide whether to refine the work in the current phase, proceed or cancel the project. 

 

Tollgate 1 Exit Criteria are:

o     Decision To Collect The Voice Of The Customer To Define Customer Needs, Wants And Delights

o     Verification adequate funding is available to define Customer Needs

o     Identification of the Tollgate Keepers1 leader & the appropriate staff

 

Tollgate 2 Exit Criteria is successful demonstration of:

o     Assessment of market opportunity

o     Command a reasonable price or be affordable

o     Commitment to development of the Conceptual Designs

o     Verification adequate funding is available to develop the Conceptual Design

o     Identification of the Gate Keepers leader (gate approver) & the appropriate staff

o     Continue flow down of CTSs to Functional Requirements

Click to Enlarge 

Formal tools which can be used in this phase are Market/Customer research tools, Product Roadmaps, Process Roadmaps, Technology Roadmaps, Multigenerational plans, Quality Functional Deployment (House of Quality).

 

Market/Customer research tools may include Customer Relationship Management (CRM) Data, Surveys, Focus Groups, Conjoint Analysis and Kano Model Analysis.

 

The next blog will cover the Conceptualize phase

 

 

 

BIO:

 

David Roy is an integral part of the Six Sigma community. He taught GE’s Jack Welch and entire staff Six Sigma, as well as served as Senior Vice President of Textron Six Sigma. He is a Certified GE Master Black Belt, was instrumental in developing GE’s DMADV (DFSS) methodology, and has taught 3 waves of DFSS Black Belts. Dave’s experience includes Product and Transactional so his examples are of interest to all. David holds an BS in Mechanical Engineering from The University of New Hampshire. He is also the co-author “Services Design for Six Sigma – A Roadmap for Excellence”

» Part 1

Oops! Didn’t see that coming!

Wednesday, May 12, 2010 by Steve Hunt

We are pleased to introduce you to consultant and trainer David Roy, our first guest blogger in my blog. Dave comes to us from SSPI, Six Sigma Professionals, Inc., and taught Jack Welch and his entire staff their Six Sigma Green Belt training. David’s blog will be the first in a series, and this initial entry also has a quick survey at the end for your input on structuring DFSS training.

--Steve Hunt

 
 

Oops! Didn’t see that coming!

 

How often do we hear these words after we have made a change to product, service or process?

 

We frequently solve one problem only to discover a new problem; or the solution we selected didn’t really resolve the problem.

 

There are many reasons for these surprises. Problem Solving sometimes addresses the symptoms and not the root cause. Useful solutions often have compromising harmful effects that we did not consider.

 

You may now be thinking; “Wow, if everything we do is going to turn out bad let’s not change anything.”   The reality is that change is inevitable. Whether driven by rising customer expectations, innovative new technologies or even variation in inputs over time; change will occur.

 

Managing the design and implementation of these changes requires a more formal methodology than the prominent “Launch and Learn” method.

 

The sophistication of the methodology will vary depending on the magnitude of the risks associated with the change. If we are problem solving for variation in a standard process and trying to regain control simple tools such as Cause and Effect diagram and Failure Mode Effects Analysis and Standard Work may be all that is required.

 

When we start to explore reducing variation or introducing new technologies or process then we need to bring on a Design For Six Sigma (DFSS) methodology which incorporates elements such as Change Management, Robust Design, Reliability, Modeling & Simulation and Piloting & Prototyping.

 

Over the next 4 blogs we will cover the four phases of a DFSS project under the framework of I-dentify, C-onceptualize, O-ptimize, and V-erify or ICOV for short.

We will give a high level look at the steps within these phases and the tools used to reduce the risk of the change and un-intended consequences.

 

On another note, if you are able, we’d like to ask for your guidance by completing a short marketing survey to help SSPI structure our training in a way that is most useful to our community. This 8 question survey should take less than 5 minutes, and is anonymous. Your opinions are greatly appreciated.

http://www.surveymonkey.com/s.aspx?sm=2aQk8QF1eLB5MFQJC1pUXA_3d_3d

 

BIO:

 

David Roy is an integral part of the Six Sigma community. He taught GE’s Jack Welch and entire staff Six Sigma, as well as served as Senior Vice President of Textron Six Sigma. He is a Certified GE Master Black Belt, was instrumental in developing GE’s DMADV (DFSS) methodology, and has taught 3 waves of DFSS Black Belts. Dave’s experience includes Product and Transactional so his examples are of interest to all. David holds an BS in Mechanical Engineering from The University of New Hampshire. He is also the co-author “Services Design for Six Sigma – A Roadmap for Excellence”

 

June 2010 - Worldwide Training Schedule

Tuesday, May 11, 2010 by DMUU Training Team
Palisade Training services show you how to apply @RISK and the DecisionTools Suite to real-life problems, maximizing your software investment. All seminars include free step-by-step books and multimedia training CDs that include dozens of example models.

North America
London
Brasil
Latin-America
Asia-Pacific

The Economics of Supply Chain Risk Management using @RISK

Monday, May 3, 2010 by DMUU Training Team
At the 2010 Palisade Risk Conference in London, David Inbar of Minet Technologies presented a talk on supply chain risk management.

Supply chain risk management is an emerging field which has been growing significantly in importance because of modern management concepts such as lean, globalization and outsourcing. The mutual dependencies and close collaboration in modern supply chains create unique risks and challenges. Supply chain risk management is an economic process and choosing the elements and amount of risk mitigations should be based on economic measures.

Inbar's talk gave an overview of the concepts and process of supply chain risk management, and demonstrated how using Monte Carlo simulation techniques with @RISK risk analysis software adds value to the decision making under uncertainty processes and enables managers to purchase the most cost effective mitigations. Says Inbar, "An organization with the right risk management process can assure peace of mind to customers and supply chain partners."

David Inbar is the founder and managing director of Minet Technologies, a provider of professional services and technologies in supply chain and purchasing. Minet is active in the interfaces between business, processes and technologies in the world of supply chain and purchasing, creating methodologies and delivering projects and solutions.

» View a PDF of the presentation here
» Abstracts and presentations from the 2010 Palisade Risk Conference in London

Profitability Projections in a Manufacturing Environment of High Uncertainty

Monday, April 12, 2010 by Steve Hunt

The other night, I had the opportunity to watch a free webcast titled “Use of @RISK for Probabilistic Decision Analysis of a Manufacturing Forecast in an Environment of High Uncertainty”. This presentation was extremely timely, since many companies are struggling to survive in these challenging economic times. Dr. Jose Briones did an excellent job discussing and illustrating how profitability projections in a manufacturing environment are directly tied to how the sales forecast fits with the capability of the operation, and how different manufacturing capacities and productions rates impact the output of the plant and the allocation of the fixed cost of production.

In the example he presents, a company is trying to decide how best to balance the sales of certain families of products to maximize revenue, maintain a diverse product line, and properly price each individual product based on the impact to the manufacturing schedule and fixed cost allocation.

He spends an appropriate amount of time discussing different input distributions such as the Triangular, Normal, Pert and Gamma distributions as well as sharing his recommendations on when to use them. He also shares his expertise on fixed cost allocation by product and the dangers in using the common method of dividing the fixed cost by the total production, and recommends doing so by allocating the fixed costs based on the projected run time of each product family. Lastly, he spends some time discussing the interpretation of the results, which I feel does a great job wrapping up the information presented in the webcast.
 

Dr. Jose A. Briones is currently the Director of Operations for SpyroTek Performance Solutions, a diversified supplier of specialty materials, BPM software and innovation consulting services. Dr. Briones has a PhD in Chemical Engineering from Clemson University and is a graduate of the Business Administration Program of Wharton Business School. If you have any questions about the webcast, you can contact Jose at Brioneja@SpyroTek.com or through Jameson Romeo-Hall at Palisade Corporation.
 

 

April 2010 - Worldwide Training Schedule

Thursday, April 1, 2010 by DMUU Training Team
Palisade Training services show you how to apply @RISK and the DecisionTools Suite to real-life problems, maximizing your software investment. All seminars include free step-by-step books and multimedia training CDs that include dozens of example models.

North America

London

Brasil

Latin-America

Asia-Pacific

Palisade is proud to announce our first Health Risk Analysis Forum in San Diego on March 31st 2010

Wednesday, March 10, 2010 by DMUU Training Team



Why attend?

This one-day forum is a great way to find out how others in the Healthcare Industry are using our software, as well as to learn new approaches to the problems Healthcare professionals face every day. We will have six software training sessions, and six real-world case studies presented by industry experts covering risk and decision analysis from all angles specific to the Healthcare sector.

You will also see how new versions of @RISK, PrecisionTree, RISKOptimizer, TopRank, NeuralTools, StatTools, and other Palisade software tools work together to give you the most complete picture possible in your situation.

Who should attend?


Professionals in risk and financial analysis in: Care Equipment & Services, Pharmaceuticals, Biotechnology & Life Sciences, Hospital Care & Management, or related services

How much?


For a limited time, the cost for attending the Health Risk Analysis Forum is has been discounted $100.

$295 covers all sessions, continental breakfast, lunch and a cocktail networking reception. Attendees will also receive a welcome package that includes a 15% discount on their next software purchase.

Please contact Jameson Romeo-Hall at jromeo-hall@palisade.com if you are interested in attending.

Location
The Westin Gaslamp Quarter
910 Broadway Circle
San Diego, CA 92101
(619) 239-2200

Book your room at a discounted rate (subject to availability.)


How can the UK public services prepare for unpredictable, extreme weather?

Friday, March 5, 2010 by DMUU Training Team
The UK Met Office is not going to ‘live down’ its weather forecast of a ‘barbeque Summer and a mild Winter’ for 2009, anytime soon. There was ample rain through the Summer, the Cumbrian region saw severe flooding in November and now the nation is gripped by sub-zero temperatures not experienced for more than 30 years.

The inaccurate weather forecast is not a criticism of the Met Office. Forces of nature cannot be controlled, but these severe weather conditions do highlight the need for a more risk-led approach to public service planning. As we are seeing, the lack of planning to combat the current Arctic conditions engulfing the nation has thrown the country in turmoil, not to mention the substantial losses incurred by businesses. 

Global Warming is now often touted as the reason for such vagaries in weather, which according to environmentalists is set to intensify in the coming years. There is a very strong case for the government to undertake a scientific, risk-led approach to assess the potential effects of extreme weather, so that the required planning and realistic fund allocation can be made to deal with unforeseen weather situations. 

For instance, Halcrow Group Ltd, specialising in providing planning, design and management services for infrastructure development, works very closely with the UK Environment Agency on its Flood Defense programme. It conducts risk analysis on several of the Agency’s projects, using Palisade’s @RISK. Through flood risk management, the UK’s Environment Agency can reduce the probability of flooding from rivers and the sea through the management of land, river systems, and flood and coastal defenses. This also works to helps to reduce the damage floods can do through effective land use planning, flood warning and emergency responses.

There is now a dire need to extend this risk analysis-based approach beyond just flood defense, so that pre-emptive actions can be taken to reduce the adverse impact of extreme weather on the nation.

Craig Ferri
EMEA Managing Director of Risk & Decision Analysis

March 2010 - Worldwide Training Schedule

Wednesday, February 3, 2010 by DMUU Training Team
Palisade Training services show you how to apply @RISK and the DecisionTools Suite to real-life problems, maximizing your software investment. All seminars include free step-by-step books and multimedia training CDs that include dozens of example models.

North America

Brazil

Latin-America

Asia-Pacific

Goldilocks Had It Easy

Monday, February 1, 2010 by Holly Bailey
Ed Biernat, Consulting with Impact, has been in touch to respond to my recent question about analysis paralysis: How do you know when you've done enough decision analysis, no more, no less than will benefit you?
 
Here's Ed's take on the issue:  "Goldilocks had it easy.  She eventually got it right the third time. This issue is one that we wrestle with in Lean Six Sigma overall, because it is easy to become enamored with the analysis of data.  Analysis paralysis kills the speed of an implementation and must be vanquished at all costs.  Inertia is the biggest foe that we face in implementing Lean Six Sigma.  It was one of the big problems with the old model with statisticians in businesses (and why it is hard to find a pure statistician around now in anything but actuarial endeavors.) What the issue really comes down to the basic question, What Problem Are You Solving?
 
Golf makes a quick analogy.  Let’s take the greatest 7-iron player in the world.  This person can play the 7-iron like nobody’s business.  In fact, they use the club more than any other club in their bag, and crowd really appreciates this virtuoso of the 7-iron.  But what is the purpose of the game?  To use the 7-iron or to get the lowest score on the course?  For risk-analysis geniuses, we can substitute the risk analysis tool for the 7-iron.  It is a great tool, a powerful tool. But only if it helps us solve the problem we are facing.  And that problem is probably not to build the world’s best model.
 
If you have addressed the question that you started with when you built the model, then you have done enough analysis.  In our consultancy, our bias is to get close and move forward unless we are dealing with a mission-critical decision. We fully admit that we are not modeling experts, and we are OK with that. That is not why our clients engage our services.  We solve problems and help them to change their culture.   Modeling helps with that by getting the team familiar with issues and sensitivities before we do a full deployment.  Once they can see the impact of this variation and their assumptions, and once they have a framework for going forward, we put the model away because it's done its job."

Thanks, Ed, for giving this some thought!
 
 

Data Issues Part 1

Tuesday, January 12, 2010 by DMUU Training Team
In a recent public training workshop (for @RISK for Excel) I was reminded of an unusual fact regarding data.

Commonly @RISK for Excel is used to fit distributions to historical data for use in risk modelling, and it sure beats wildly guessing obscure parameters. However there are (naturally) a litany of woe-inducing problems with all historical data sets: non-stationary data series, extreme values/outliers, data recording errors, seasonality and heteroskedasticity to name a few. Excessive ‘cleansing’ of the data set is commonly prescribed, but the statistician in me cringes to even type those words! Quality control and transforming the data will help to eliminate most of those problems, but what about outliers?

In the early Naughties I was working for a large Australian bank, forecasting their daily call centre volumes for the purpose of planning staff levels and predicting service levels. A particular call centre averaged 30,000 calls per weekday. Yet on September 12th, 2001, calls dropped to less than 10,000. Along with the rest of the world, Australians were watching the terrorist attacks on television and the internet rather than calling to fix spelling mistakes in their contact details or transfer small sums of money between accounts. But what to do with that data point? Presuming the forecasting model is not intended to include such extreme events as terrorist attacks then the point could simply be filtered out of the data set and not thought of again.

But now consider a process that should include rarer events, such as flood damage or operational risk, as one of the risks in a model. If you have 10 years of good data (say), but the set includes an event that should only occur every 100 years. This level of impact is thus drastically overrepresented in the data and any fitted distribution will be biased toward such extremes. Yet the data point can not be completely ignored as such values can occur and the simulation models must have the capacity to sample such values (though with a reasonable likelihood). In this case the artistry that is fitting distributions to data comes to the fore. The data point could be removed from the set but not from our decision making process.

From the range of distributions that can be selected, the optimal choice should not only represent the remaining data well but also have a tail that samples events in the vicinity of those that have been excluded from the analysis with reasonable probability. No, that’s not always easy to do. But as with many elements of probabilistic modelling it simply must be done in order to provide useful information to decision makers.

Thus the context of the modelling can go a long way to determine the most appropriate steps to take with your data set. If that sounds like a subjective guideline then you read it correctly. Not enough people realise just how important experience and intuition can be in the seemingly prescriptive fields of mathematics and statistics. Fitting distributions to data is no different.

And yet that isn’t the unusual fact I was reminded of in the workshop! But I’ll leave that for Part 2 of my Data Issues blog.

Rishi Prabhakar
Trainer/Consultant

February 2010 - Worldwide Training Schedule

Monday, January 11, 2010 by DMUU Training Team
Palisade Training services show you how to apply @RISK and the DecisionTools Suite to real-life problems, maximizing your software investment. All seminars include free step-by-step books and multimedia training CDs that include dozens of example models.

North America

Europe
Latin-America

Adopting a healthy approach to risk

Tuesday, December 29, 2009 by DMUU Training Team
Having talked in previous posts as to why it’s important, and today how accessible it is for any size of organisation to adopt a healthy approach to risk, I’ll now take you through my top ten tips on how you can maximize your risk management programme:

1. Get buy-in
Risk management is not an optional extra. It is a business critical tool that is an asset and an integral part of the project. The company culture must be developed to embrace QRM (quantitative risk management) and DMU (decision making under uncertainty) in order that everyone understands their benefits and therefore accepts the need for them.

2. Get budget
Business tools cost money, but managing risk is an investment - not an overhead – and must be regarded as such. Allocating resource and making it a formal business process should be seen as an insurance policy.  Not only will it help organisations make better decisions that will save them money in the long term but, by identifying potential risks and adverse events, it can protect them against unexpected costs in the future.

3. Get words
As with any organisational change, it is essential that everyone is clear on the new processes. Therefore a common risk language – or 'glossary' – needs to be developed to avoid misunderstanding and to ensure a consistent approach to QRM and DMU.

4. Get numbers
Qualitative assessment is essential, but numbers are more powerful – for example the percentage chance of meeting a deadline or budget. Monte Carlo simulation random sampling provides the margin of error for a venture and is a good way to illustrate the consequences of different courses of action. Risk management experts must ensure everyone understands these figures, and accepts them.

5. Get structure
Managing risk in order to make better-informed decisions requires an appropriate organisational structure. Individuals and groups need clearly defined roles, and must then each take responsibility for their own area of expertise.

6. Get lateral
Every organisation has risks that it deals with on a daily basis and which must therefore be factored in to the decision-making model. However, no enterprise operates in isolation, so other external variables must be included. For example, even a small rise in fuel costs could have a major effect on revenues if raw materials need transporting long distances.

7. Get perspective
Political, cultural and social risk factors can be explored by involving all stakeholders.  Investing time and money in consultation and research ensures that businesses have a clear idea of the complete environment in which they operate, and therefore minimise the chances of products and services failing.

8. Get reporting
Risks, and the management of them, must be reviewed regularly – and the programme amended if necessary. This requires a regular reporting process, in which risks are clearly identified and prioritised.

9. Get with it
Being risk aware does not mean being risk averse. Businesses should guard against rigidly adhering to 'the way we've always done it' approach, instead keeping up-to-date, learning new tricks and not being afraid to be bold.  Although risky on the surface, these tactics prevent being left behind – much of the potentially uncertainty can also be removed with QRM and DMU.

And finally…

10. Get it documented
Back up the commitment to a thorough QRM and DMU programme with documentation. This validates the budget and buy-in requested at the start. And it’s good for business – organisations this thorough are guaranteed a competitive edge.

Craig Ferri
EMEA Managing Director of Risk & Decision Analysis

Making Risk & Decision analysis accessible to all

Friday, December 18, 2009 by DMUU Training Team
It’s clear that the financial crisis has exposed a number of failings in the practice of risk management. In my last post I talked about the relevance risk analysis and the disciplines of ‘quantitative risk management’ (QRM) and ‘decision making under uncertainty’ (DMU) are to all sizes of organisations, be it large or small. 

However, how accessible are these disciplines to the average size business across the globe today?

With the need to make more informed decisions more pressing by the day, thankfully QRM and DMU and now far more accessible than ever before.  Traditionally systems tended to be expensive, enterprise-based applications targeted at large companies who were prepared to spend considerable time, money and human resources.  The result was an all-singing, all-dancing product which often ended up underused due to confusion on the part of the very employees who were supposed to make it work.

Steady increases in computer processing have given the desktops of today as much power as the high-end servers of a few years ago, meaning that risk analysis and management is now an achievable goal for businesses of all sizes.  Palisades @RISK and Decision Tools Suite software are such desktop risk and decision analysis tools – working within Microsoft Excel and therefore being accessible to a large number of users.

‘Monte Carlo Simulation’, a technique originally conceived by scientists working to develop the atomic bomb as part of the Manhattan Project, is an inherent part of @RISK, a cornerstone of the Suite.  It enables users to introduce uncertainty into their previously static spreadsheets, which lets them look at things in a probabilistic, rather than a deterministic way.  In layman’s terms, this means that rather than companies and individuals making decisions based on estimates or best guesses, they can see all the potential outcomes to a venture – and how likely these scenarios are to occur.

For many companies this significantly improves the decision-making process.  Firstly it requires a change in the methodology of employees responsible for assessing risks and opportunities and secondly for the first time employees have a tool which allows them to communicate their recommendations to management or colleagues in a transparent and standardised way.  Equally, being able to look at scheduling risk in a probabilistic and quantitative sense allows for the allocation of labour and resources in a way which minimises slack and wastage whilst maximizing ROI.

So, it would seem that the new ‘risk management’ language that is starting to develop in the workplace and being taught to a new generation of managers on MBA courses should be welcomed.  With the accessibility of the technology available to assist them, we need to make sure that organisations do more than just pay lip service to QRM and DMU if they are to reap the rewards.

In my next blog I’ll be giving you the my top ten tips to adopting a health approach to risk, that will help businesses of all sizes maximize their risk management programmes.

Craig Ferri
EMEA Managing Director of Risk & Decision Analysis

December 2009 - Worldwide Training Schedule

Monday, November 2, 2009 by DMUU Training Team
Palisade Training services show you how to apply @RISK and the DecisionTools Suite to real-life problems, maximizing your software investment. All seminars include free step-by-step books and multimedia training CDs that include dozens of example models.


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Targeted Analyses and Compelling Communication: A Formula for Successful Value Creation in Management Science

Monday, October 19, 2009 by DMUU Training Team
Michael A. Kubica is Founder and President of Applied Quantitative Sciences, Inc. He has over 18 years' experience within the healthcare industry, and has been providing quantitative sciences consultancy since 1999. Michael has extensive experience in providing quantitative decision support solutions for leading pharmaceutical, medical device/diagnostics, and biotechnology companies, addressing a wide range of business issues. Prior to establishing AQS, Michael held the position of Vice President, Operations for Magellan Health Services. During his career Michael has also held positions of Director of Quality Management, Regional Director of Business Operations & Finance, and Hospital Administrator. Throughout his career, Michael employed sophisticated quantitative methods to forecast performance, streamline operations, and improve quality. Michael has an MBA and Master’s of Science in psychology. He serves as Adjunct Professor of Research Design and Statistical Analysis at St. Thomas University in Miami, FL. Applied Quantitative Sciences, Inc. (AQS) is a consultancy specializing in assisting medical device, pharmaceutical and biotechnology companies make decisions under conditions of complexity and uncertainty. They are a market leader in providing simulation and optimization models which are used by industry leaders for the purposes of forecasting, new technology valuation, business and strategic planning, supply chain management, and resource planning.

Mr. Kubica will present a case study later this week at the 2009 Palisade Conference: Risk Analysis, Applications, & Training, 21 - 22 October at the Hyatt Regency in Jersey City (10 minutes by PATH from Manhattan's Financial District).

See the abstract for his case study below, and see the full schedule for the Conference here.

Targeted Analyses and Compelling Communication: A Formula for Successful Value Creation in Management Science

The value of quantitative science projects too often remains unrealized for would-be consumers. Despite flawless analyses, sophisticated reports and dazzling presentations, the message goes unheeded by those who could most benefit: If only they understood how to operationalize the results. The clarity with which quantitative scientists view the practical application of results is often paralleled only by their inability to generate that same clarity in their customers. The result is that good management science is at best ignored and worst, misunderstood (and misapplied). This workshop describes steps we as quantitative scientists can take to foster understanding, generate novel insights and stimulate actionable results with our clients. 

This Week: October 21-22 in NYC

Building on the success of last year’s record-breaking event, the conference will offer a wide range of software training, model building, and real-world case study sessions. Last year, the event drew over 150 practitioners and decision-makers from a broad spectrum of industries. The @RISK and DecisionTools software tracks were more popular than ever. This year, we’re expanding software training with sessions that let you walk through examples and try the tools directly. This will enable you to take some new tips back to the office. Please join us in October for a great opportunity to learn and connect with colleagues.