SlideShare a Scribd company logo
1 of 15
Download to read offline
Common Pitfalls in Supply Chain System Implementations   V.B-101




Common Pitfalls in
Supply Chain System
   Implementations
Common Pitfalls in Supply Chain System Implementations




      Most companies go in search of the supply chain holy-grail of improved
      performance to customers, while improving efficiencies in manufacturing,
      inventory turns, and profitability. Billions of dollars have been spent on software
      and consulting services for improving demand planning, Inventory optimization,
      Sales & Operations Planning, Available-to-Promise, etc. But why do so many
      supply chain implementations fail?

      It’s been so many years that we have been selling, implementing, and maintaining
      Supply Chain Planning systems and all kind of related services around that. So we
      thought it would be nice to put together a document to talk about the most common
      mistakes companies make in implementing their SCP systems. Now, this is not a
      catch-all document but hopefully it will help you avoid major pitfalls, save some
      time, and money.

      That being said, from both an operational or consulting perspective, there appears to
      be a number of characteristics that can help you predict whether a project will be
      successful or not. Let’s see…
Common Pitfalls in Supply Chain System Implementations




                     Leadership, Leadership, Leadership,
                                                                     Plus a little teamwork

 When two companies in the same industry implement the same piece of software, with the same
 fundamental objectives and data, why can one do it in 4 months and the other in 18 months? It
 comes down to leadership and teamwork.

 Strong leaders usually have built strong functional teams. When purchasing software, they know
 what to look for and have a roadmap developed on how to bring the organization, processes, and
 tools together to deliver improvements. The vision and authority of upper management enables the
 teams to execute and be successful in every step of the project which usually leads to a shorter
 period of implementation time.

 Almost all projects that affect the performance of
 the supply chain processes affect the organization
                               Take the
 globally (i.e. many stakeholders).
 leadership out of the equation and the
 common thread is gone. We have seen many
 projects where the control of the project is left in
 hands of an isolated few (usually with lower
 organizational ranks) to determine what the
 requirements are, locally. In that case, projects
 usually take a long time because the team ends up
 implementing to a different set of requirements
 than when they started, and try to optimize every
 little detail according to their own needs.
 Naturally, leading to ridiculously long project time
 frames.
Common Pitfalls in Supply Chain System Implementations




                          The software is not a panacea


      The Pareto Principle trumps everything in determining supply chain
      project success. Simply put, 80% of the value will be derived from
      20% of the requirements. One characteristic of projects that take a
      very long time is the expectation that the software will solve all
      problems, including making up for some inefficient processes and
      organizational structure. Remember, “software” enables the process
      not the other way around.
Common Pitfalls in Supply Chain System Implementations




         Data will not improve your supply chain,
                                        In itself!

         As the requirements list grows ever longer, the need to
         create and maintain ever larger amounts of data grows,
         accordingly. Most companies’ data quality is poor--
         (No…you are not the only one!). So not having good
         control over the scope, and lack of project focus, makes
         the data gathering and cleaning task complex and time
         consuming.
Common Pitfalls in Supply Chain System Implementations




                              What’s more Important:
                     Complete Data or Accurate Data?


 Complete data is far more important than accurate data. For instance, if we strive to
 have accurate data you will never implement a supply chain solution – accurate
 data doesn’t exist! Complete data may not be accurate but it enables you
 to execute a new process.


                                   Link this with a continuous improvement
                                   methodology and accuracy will improve, processes
                                   will be sped-up, and organizational improvement
                                   will occur. Data needs to be directionally correct to
                                   support decision making – and that is what supply
                                   chain disciplines are all about – risk mitigation
                                   and decision making.
Common Pitfalls in Supply Chain System Implementations




          Spreadsheets are not a planning system



Spreadsheets are a two dimensional calculator that lead people to
incorrect decision making. When a new system is in, look to eliminate the
spreadsheet-dependency wherever possible. We suggest setting up
continuous improvement forums with planners to understand what they
need and migrate it to the system.

The last thing you want to do is spend large capital dollars on software so
that you can download a result to a spreadsheet and allow planners to redo
the plan. You’ll never know if the system was giving a correct answer--and
your process speed will once again be dragged down.
Common Pitfalls in Supply Chain System Implementations




                               When it comes to models
                        more detail is not always better

The first impulse that most companies have is
to try and model, as closely as possible, the
manufacturing operations to the point of
individual seconds. Instead, what they
should be looking at is what is the level of
detail required to get to a good solution.

            The point is that randomness
exists within processes which can not be
modeled through the planning system. For
example, why model the operation time to
the exact second when you don’t know when
the operator is going to take a break.

            Keeping the models at a higher
level while accurately representing the
manufacturing process provides a cleaner
result, and sets the right expectations.
Common Pitfalls in Supply Chain System Implementations




                         Consistency, Consistency, Consistency…



              Consistency of the
          implementation team is
                    critical.
            Implementations fail
          when there is not a clear
          view of the design, plan,
             and objectives by all
            members of the team
                throughout the
             implementation. In
            many cases the team
          make-up changes which
              results in a loss of
                knowledge and
          confusion. This leads to
           longer implementation
               schedules and in
              extreme cases full
               solution rework.
Common Pitfalls in Supply Chain System Implementations




                               When Testing,
                               Small and Accurate is the key!


The true purpose of unit testing is often misunderstood. Unit tests should be
used to prove out expected model functionality in a controlled environment.
In many cases, the unit test data set contains a full download of all source data.
This is very difficult to work with, and understand, if all logic is working
correctly.

Instead, small controlled data sets
should be used along with
specific use-cases to examine
functionality results. This is the case
for both the model and the integration.
Once everything has been thoroughly tested
and accepted you should proceed to
integrated testing. This is where
progressively larger data sets should be
used. Take small steps and continue to
move forward; instead of taking a large step,
then three steps backwards.
Common Pitfalls in Supply Chain System Implementations




                           Big Bang Approach Can                             Explode!!!
When looking at supply chain management, many functions are needed (Demand Planning,
Inventory Optimization, Supply Chain Planning, Factory Planning, Available to Promise, etc.) to
create an integrated supply chain. However, when it comes to implementation a big bang
approach can usually lead to disaster--since this is a complex problem, having too many moving
pieces can be daunting.

A logical rollout in overlapping phases should be used.
For example, Demand Management to create the demand signal, Supply Chain Planning to create
demand sourcing and the statement of supply, Available to Promise to provide real time promise
dates, then fine tuning through the use of factory planning and inventory optimization.

This approach will keep the team focused, and
ensure the end users are not overwhelmed
with process changes that accompany the
software releases.
Common Pitfalls in Supply Chain System Implementations




                                      Just because you can
                                It doesn’t mean you should!


Planning systems may have a number of functionalities that seem cool
at the time, but you need to ask the question are they really needed.
Just as adding too much detail in the models can lead to confusion and
false expectations, adding too much functionality can lead
to confusing results and loss of control. This is not to
say that you should not use enhanced functionality, but rather it should
be closely examined during the design phase to understand what is
needed to support it and how it affects the results.
Common Pitfalls in Supply Chain System Implementations




                                                 Time in design,
                                          pay now or pay later!
 Design is without a doubt the most critical phase of any implementation.
 This is where the foundation is set and the plan developed to guide the
 implementation effort. Just like building a house if you have a good blue
 print execution is straight forward and the result is success, but if the
 blue print is put together in a rushed manner you only have two outcomes,
 either poor construction or increased schedule and cost due to rework.

 The design effort should be well supported by both business and technical
 users. In many cases the effort is driven by a technical team only. Where
 this occurs, although the solution arrived at may be technically correct, it
 may be of little use to the business users--and be seen as a failed attempt.
Common Pitfalls in Supply Chain System Implementations




There is no magic bullet here…

In conclusion, to cross the finish-line on a supply chain system
implementation as quickly and as successfully as possible,
remember to keep the scope small, the requirements tight, and
implement a continuous improvement methodology that expands
the software as the process and data matures. You’ll be up and
running in no time and on the path to real supply chain
improvement.
Common Pitfalls in Supply Chain System Implementations




  Resources:
  Click here For:   Supply Chain Planning Blog
  Click here For:   Planning Systems
  Click here For:   Questions
  Click here For:   Adexa


  Please feel free to post this on your blog
  or email it to whomever you believe
  would benefit from it. Thank You.




                           U.S. © 2010 Adexa, Inc. All rights reserved.

More Related Content

More from Adexa, Inc.

MEIO Optimization Engine
MEIO Optimization EngineMEIO Optimization Engine
MEIO Optimization Engine
Adexa, Inc.
 

More from Adexa, Inc. (6)

Demand Planning for Managers: When to Apply Statistical Forecasts
Demand Planning for Managers: When to Apply Statistical ForecastsDemand Planning for Managers: When to Apply Statistical Forecasts
Demand Planning for Managers: When to Apply Statistical Forecasts
 
Managing Planning Data
Managing Planning DataManaging Planning Data
Managing Planning Data
 
Demand Planning For Profit
Demand Planning For ProfitDemand Planning For Profit
Demand Planning For Profit
 
Inventory Optimization
Inventory OptimizationInventory Optimization
Inventory Optimization
 
Attribute Based Planning
Attribute Based Planning Attribute Based Planning
Attribute Based Planning
 
MEIO Optimization Engine
MEIO Optimization EngineMEIO Optimization Engine
MEIO Optimization Engine
 

Recently uploaded

Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 

Recently uploaded (20)

ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 

Implementation Pitfalls

  • 1. Common Pitfalls in Supply Chain System Implementations V.B-101 Common Pitfalls in Supply Chain System Implementations
  • 2. Common Pitfalls in Supply Chain System Implementations Most companies go in search of the supply chain holy-grail of improved performance to customers, while improving efficiencies in manufacturing, inventory turns, and profitability. Billions of dollars have been spent on software and consulting services for improving demand planning, Inventory optimization, Sales & Operations Planning, Available-to-Promise, etc. But why do so many supply chain implementations fail? It’s been so many years that we have been selling, implementing, and maintaining Supply Chain Planning systems and all kind of related services around that. So we thought it would be nice to put together a document to talk about the most common mistakes companies make in implementing their SCP systems. Now, this is not a catch-all document but hopefully it will help you avoid major pitfalls, save some time, and money. That being said, from both an operational or consulting perspective, there appears to be a number of characteristics that can help you predict whether a project will be successful or not. Let’s see…
  • 3. Common Pitfalls in Supply Chain System Implementations Leadership, Leadership, Leadership, Plus a little teamwork When two companies in the same industry implement the same piece of software, with the same fundamental objectives and data, why can one do it in 4 months and the other in 18 months? It comes down to leadership and teamwork. Strong leaders usually have built strong functional teams. When purchasing software, they know what to look for and have a roadmap developed on how to bring the organization, processes, and tools together to deliver improvements. The vision and authority of upper management enables the teams to execute and be successful in every step of the project which usually leads to a shorter period of implementation time. Almost all projects that affect the performance of the supply chain processes affect the organization Take the globally (i.e. many stakeholders). leadership out of the equation and the common thread is gone. We have seen many projects where the control of the project is left in hands of an isolated few (usually with lower organizational ranks) to determine what the requirements are, locally. In that case, projects usually take a long time because the team ends up implementing to a different set of requirements than when they started, and try to optimize every little detail according to their own needs. Naturally, leading to ridiculously long project time frames.
  • 4. Common Pitfalls in Supply Chain System Implementations The software is not a panacea The Pareto Principle trumps everything in determining supply chain project success. Simply put, 80% of the value will be derived from 20% of the requirements. One characteristic of projects that take a very long time is the expectation that the software will solve all problems, including making up for some inefficient processes and organizational structure. Remember, “software” enables the process not the other way around.
  • 5. Common Pitfalls in Supply Chain System Implementations Data will not improve your supply chain, In itself! As the requirements list grows ever longer, the need to create and maintain ever larger amounts of data grows, accordingly. Most companies’ data quality is poor-- (No…you are not the only one!). So not having good control over the scope, and lack of project focus, makes the data gathering and cleaning task complex and time consuming.
  • 6. Common Pitfalls in Supply Chain System Implementations What’s more Important: Complete Data or Accurate Data? Complete data is far more important than accurate data. For instance, if we strive to have accurate data you will never implement a supply chain solution – accurate data doesn’t exist! Complete data may not be accurate but it enables you to execute a new process. Link this with a continuous improvement methodology and accuracy will improve, processes will be sped-up, and organizational improvement will occur. Data needs to be directionally correct to support decision making – and that is what supply chain disciplines are all about – risk mitigation and decision making.
  • 7. Common Pitfalls in Supply Chain System Implementations Spreadsheets are not a planning system Spreadsheets are a two dimensional calculator that lead people to incorrect decision making. When a new system is in, look to eliminate the spreadsheet-dependency wherever possible. We suggest setting up continuous improvement forums with planners to understand what they need and migrate it to the system. The last thing you want to do is spend large capital dollars on software so that you can download a result to a spreadsheet and allow planners to redo the plan. You’ll never know if the system was giving a correct answer--and your process speed will once again be dragged down.
  • 8. Common Pitfalls in Supply Chain System Implementations When it comes to models more detail is not always better The first impulse that most companies have is to try and model, as closely as possible, the manufacturing operations to the point of individual seconds. Instead, what they should be looking at is what is the level of detail required to get to a good solution. The point is that randomness exists within processes which can not be modeled through the planning system. For example, why model the operation time to the exact second when you don’t know when the operator is going to take a break. Keeping the models at a higher level while accurately representing the manufacturing process provides a cleaner result, and sets the right expectations.
  • 9. Common Pitfalls in Supply Chain System Implementations Consistency, Consistency, Consistency… Consistency of the implementation team is critical. Implementations fail when there is not a clear view of the design, plan, and objectives by all members of the team throughout the implementation. In many cases the team make-up changes which results in a loss of knowledge and confusion. This leads to longer implementation schedules and in extreme cases full solution rework.
  • 10. Common Pitfalls in Supply Chain System Implementations When Testing, Small and Accurate is the key! The true purpose of unit testing is often misunderstood. Unit tests should be used to prove out expected model functionality in a controlled environment. In many cases, the unit test data set contains a full download of all source data. This is very difficult to work with, and understand, if all logic is working correctly. Instead, small controlled data sets should be used along with specific use-cases to examine functionality results. This is the case for both the model and the integration. Once everything has been thoroughly tested and accepted you should proceed to integrated testing. This is where progressively larger data sets should be used. Take small steps and continue to move forward; instead of taking a large step, then three steps backwards.
  • 11. Common Pitfalls in Supply Chain System Implementations Big Bang Approach Can Explode!!! When looking at supply chain management, many functions are needed (Demand Planning, Inventory Optimization, Supply Chain Planning, Factory Planning, Available to Promise, etc.) to create an integrated supply chain. However, when it comes to implementation a big bang approach can usually lead to disaster--since this is a complex problem, having too many moving pieces can be daunting. A logical rollout in overlapping phases should be used. For example, Demand Management to create the demand signal, Supply Chain Planning to create demand sourcing and the statement of supply, Available to Promise to provide real time promise dates, then fine tuning through the use of factory planning and inventory optimization. This approach will keep the team focused, and ensure the end users are not overwhelmed with process changes that accompany the software releases.
  • 12. Common Pitfalls in Supply Chain System Implementations Just because you can It doesn’t mean you should! Planning systems may have a number of functionalities that seem cool at the time, but you need to ask the question are they really needed. Just as adding too much detail in the models can lead to confusion and false expectations, adding too much functionality can lead to confusing results and loss of control. This is not to say that you should not use enhanced functionality, but rather it should be closely examined during the design phase to understand what is needed to support it and how it affects the results.
  • 13. Common Pitfalls in Supply Chain System Implementations Time in design, pay now or pay later! Design is without a doubt the most critical phase of any implementation. This is where the foundation is set and the plan developed to guide the implementation effort. Just like building a house if you have a good blue print execution is straight forward and the result is success, but if the blue print is put together in a rushed manner you only have two outcomes, either poor construction or increased schedule and cost due to rework. The design effort should be well supported by both business and technical users. In many cases the effort is driven by a technical team only. Where this occurs, although the solution arrived at may be technically correct, it may be of little use to the business users--and be seen as a failed attempt.
  • 14. Common Pitfalls in Supply Chain System Implementations There is no magic bullet here… In conclusion, to cross the finish-line on a supply chain system implementation as quickly and as successfully as possible, remember to keep the scope small, the requirements tight, and implement a continuous improvement methodology that expands the software as the process and data matures. You’ll be up and running in no time and on the path to real supply chain improvement.
  • 15. Common Pitfalls in Supply Chain System Implementations Resources: Click here For: Supply Chain Planning Blog Click here For: Planning Systems Click here For: Questions Click here For: Adexa Please feel free to post this on your blog or email it to whomever you believe would benefit from it. Thank You. U.S. © 2010 Adexa, Inc. All rights reserved.