Ep#32 New Product Development in Auto Sector: Challenges and Solutions
from Counterpoint Podcast
26m 49s
New product development (NPD) in the auto industry faces chronic delays due to a surge in product launches, regulatory pressures, and complex cross-functional coordination. Despite conventional efforts such as early project initiation and detailed planning, these strategies only exacerbate delays by overburdening resources and creating a system where added time is split across multiple projects—effectively forming a "pyramid scheme" of inefficiency. The core issue stems from a fundamental misunderstanding of capacity: organizations confuse output with available capacity, failing to recognize that project execution speed depends on the overall volume of open projects. The solution lies in establishing a clear, capacity-based "enough but not too many projects" model, which balances project inflow and ensures smooth system flow. This is supported by four key mechanisms: controlling work-in-progress, synchronizing cross-team development, measuring project progress through completed activities, and identifying and addressing team-level bottlenecks. These strategies shift focus from reactive project management to proactive system flow control, leading to immediate improvements in output, reduced rework, fewer post-launch issues, and seamless handovers. Case studies from major auto companies—including two-wheeler, tractor, and commercial vehicle manufacturers—demonstrate up to 500% increases in project output and over 50% lead time reductions, alongside consistent compliance with regulatory deadlines. This approach not only resolves the long-standing paradox of delays and missed milestones but also provides a sustainable, scalable model for NPD success across the auto sector.
Hello and welcome to the counterpoint podcast, I am Shubham Agarwal and we are discussing
about NPD projects today.
Now doing NPD projects on time is a rare event, I am sure you would agree with me on that.
Most projects are grossly delayed and many launched products fail in the market.
As per data published on Stetrister, as much as 91% of the NPD projects fail to complete
or go way beyond this schedule time.
Now this is not shocking I think, everyone across knows that this is a common phenomenon
and it is troubling because NPD is what decides the future for any organization because
that is the new product or anything new that is coming into the market.
It is also referred to as the dark underbelly for many companies.
For the discussion today, we have with us Vivek Chopra, he is a senior consultant at
the Vector Consulting Group and he has been instrumental in transforming NPD environments
in vast majority like auto, pharma, high tech and consumer goods.
Now in almost all cases, organizations have been able to cut down lead times by half.
Yes you heard me right by half while increasing the overall output of the projects.
So we often refer to him as the NPD Guru at Vector.
We will focus our discussion today on the auto industry and the challenges in managing
new product development projects in that industry.
So let's welcome Vivek, hi Vivek, welcome to the counterpoint podcast, how are you?
I am good Shubham, how are you, it is a pleasure to be here.
Great, great to have you here and I am very well, thank you.
So Vivek, let us open the discussion with you know, first understanding what is the real
issue in managing the NPD or the new product development in the auto sector.
So what is your view on that?
Okay, so the auto sector is one of the biggest engines of economic growth across the world.
So in other words, if you want to understand how well an economy is doing, just look at
the performance of the auto sector and you will get a good idea.
At the same time, there is still a substantial gap between a potential demand for auto products
and their supply, more so in a country like India, which still has a long way to go when
it comes to per capita vehicle ownership.
So it's not surprising that that auto industry in India is one of the most hotly contested
one with many players vying for a share of the market.
Okay, now if we take a typical auto company, it has three primary needs to be met.
Need one is to continuously launch newer upgrades of its currently running models with
fairly high frequency. Need two is to frequently launch completely new platforms of brands in
order to address new customer segments.
And what is interesting is that each of these new platforms of brands will also require
the own upgrades in future, right?
So it's like every new brand gives birth to its own variance over time.
All right.
And need three, and it's a very important need also is that auto companies have to comply
with new regulatory requirements, which keep coming from time to time.
And failure to meet these regulatory requirements and all of them come with a hard date.
And failure to meet these deadlines would mean non-production of vehicles and loss sales.
Okay, so these are the three needs primary needs for any auto company.
And what this amounts to is to launch more and more products geometrically over a period
of time, right?
Yeah, so the compounding will keep happening.
Yeah, yeah.
So we have the old brands for which we need to keep launching variance upgrades from time
to time.
And the newer platforms that they need to launch keep coming up with from time to time.
And also the regulatory environments, right?
So a need for any typical auto companies to increase its output over a period of time is
very, very dire, right?
And to meet this geometrically multiplying need well, without geometrically multiplying
its investment resources, and it's very important, right, is the biggest challenge for any
automaker.
And I'm sure the, you know, the priority shifts that happen between these three needs would
also be quite, quite a concern, because, you know, what to prioritize, do you give priority
to the new variants or the regulatory challenges?
Absolutely.
Absolutely.
So they are always, always in, you know, in a state of confusion as to what to do, what
not to do, what to build right now, where to use my capacity at this point of time, where
not to use my capacity, and so on and so forth.
So very obviously, I mean, these are new, not new problems.
And I'm sure everyone in that sector understands it well.
And so for that reason, companies must have tried to solve it, right?
And they have, they would have taken different approaches, different ways to find a way around.
So how do companies conventionally try to solve it?
Yeah.
So most NPD organizations try to meet this challenge very, very enthusiastically.
People who work in these organizations have no death of intelligence and motivation.
So it's not as if now India has got the best of talent in the world, right?
No doubt.
Yeah.
So that is the despite all the hard work that they do, projects just refuse to come out.
The delays are not in months, but in years.
So I'm not talking about no month delay or a days delay, but the delays are in years.
And the original duration has changed so many times doing the course of project that people
are hard pressed to remember when a project was originally scheduled to be launched.
Okay.
So after every delay, a new due date is set.
And there is a period of time where the project seems to be coming back on track.
However, all hell breaks loose as soon as a new due dates come closer.
So then suddenly it is realized in many cases that some components are still undergoing
iterations.
In other cases, some parts are not even close to design finalization.
Some tests are still running.
Right.
Something or the other project is always lacking behind.
And the common reference, the most common reference to the project, the most common
reference.
You know, I think it's going to be a long time.
And the common reference, the most common reference from project management always, always
is that we are progressing well, but we are still not in a position to launch at the
new date.
Please give us some more time.
That is right.
Story of every project probably.
Yeah.
And this story continues with delays after delay, especially if the project is extremely
large for, you know, new platforms.
This story is as in these delays become extremely unsustainable over a period of time.
And after numerous delays and due date changes when the project is still not completing, finally
the top management springs into action.
It puts it for, puts the foot down and announces the launch date of project as a hard date.
Now they say, no, you have to meet this hard date, no matter what.
Right.
And once the announcement comes, people have no choice but to come together and somehow
complete the project.
Now, the focus is on somehow completing the project to meet the hard due date that has
been set by the top management.
I'm sure there are a lot of things go haywire in that.
Very, very.
Absolutely.
And many times these are not natural closures.
These are four closures where teams have to take shortcuts or deviations in a bit to meet
the deadlines.
The top management also doesn't have a choice but to either approve or ignore these deviations.
Right.
Because it wants the project to complete.
It wants something to come out fast because every month, every, every a delay of single
month or a single quarter means, you know, that much loss in revenues for them.
Right.
So these deviations are taken at that point of time, but they very often come back to haunt
the auto companies after launch in different ways.
How?
What are the different ways?
We will have frequent line stopperages going to assembling issues, you know, now these
could have been avoided had proper assembly checks and corrections been done during the
NPD cycle itself.
Right.
Okay.
Then there are supply issues of new parts from suppliers which keep coming from time to
time.
Again, these could have been avoided as a suppliers been provided more time to build their production
capacity before launch.
Then there are design problems that that that are detected much late since some tests were
still running while the project was being launched.
And then there are poor sale nickels coming from the field in frequent visits to service
stations.
So you have these, you know, R&D people who keep visiting the service stations from time
to time to, you know, to resolve all the nickels which are coming from the field.
Now if you look at, very interestingly, if you look at the issues that I just spoke about
and what is very surprising about them is that they seem to have happened because not enough
time was given to develop the product, right?
Yeah.
That's what comes out from those things.
As I said, you know, some things could have been done.
Some things could have been done during the NPD cycle itself.
So they seem to have happened because not enough time was given to develop the product.
Yet the product took so much time to come out in the first place, right?
So that is the paradox that is a conantrum that has to be solved.
So which means what?
There are any additional time that was given to these projects in the past, because as I
said, there were delays after delays, right, tarik after tarik.
So there were delays after delays and any additional time that was given to the project, it means
was not actually spent on that project.
That can be the only conclusion that can come out of this, right?
So where did the missing time go?
If we try to understand where this missing time went, we'll be able to understand the root
cause of the problem.
Lovely.
Because that's what we want to understand as well.
And you know, since you mentioned these issues, these concerns that keep happening, I'm
sure these are not one time issues, you know, these are the same issues that repeat every
time, which basically means that we're not targeting the right problem, right?
So what are the companies failing to get it right at the core, you know, what solutions
don't work?
Yeah.
So Shubham, the general tendency for any company is to provide a solution for every problem
that it faces, right?
So when lead times are high and the projects are delayed, what do the companies believe?
The companies believe that the solution lies in starting projects early, preferably
as soon as the idea for a project is generated, right?
So the assumption is that the earlier we initiate the project, greater the chance of projects
coming out on time, right?
Similarly, when technical issues are discovered late, close to due dates, when you realize
that something is not working, right?
Tests are failing very close to the due dates.
Then companies believe that visibility is a problem, okay?
So they start making more detailed project plans with stricter and more regular reviews
of project milestones and the actual completions, right?
planning. In proper planning, great planning, ideal planning is announced as a
panacea for all else and a huge amount of time and effort is invested in
planning tools. But I'm also taught that planning, good planning is the way
forward. That's that's a foolproof way to complete your projects on time. Are you
suggesting that this approach itself is wrong? This because this sounds
logical, you know, plan well, review and go forward. What's the problem with
that approach? So I will tell you, I'll tell you what's wrong with this approach. To
begin with, you know, if we think logically, if I look at narrative, you know, we
go back to the narrative that I, you know, was narrating to you, to begin with
the projects are already delayed and the project completion rates are already
poor. That is where we are starting, that is a starting point, right? What does
it indicate? This indicate that the projects are spending more time in the system
on an average. Right. Now, in this backdrop, where projects are already
spending more time in the system, if one tries to solve the problem by
introducing new projects at faster and faster rates, what would you expect to
see? Right. You would naturally expect to see a build up of open projects in
the system over time. Totally. Right. At the same time, as I already mentioned,
companies also introduce the other so-called solution of doing great planning
at a more detailed level, along with extremely stricter reviews of plans. Right.
So for a company, the way to solve the problem is by having more regular
reviews, you know, what used to have reviews monthly reviews are converted to
weekly reviews. And that the assumption is if I do weekly reviews as opposed to
monthly reviews, right? The visibility will improve and I'll be able to solve
the problem faster. Right. So now we have got two things happening simultaneously.
One, number of projects in the system is increasing over time, as I said,
because the companies are trying to initiate projects earlier now. And number two,
projects are being asked to show resources are being asked to show some progress on
an increasing number of projects during the reviews. Correct. Right. Now the moment
this happens, the moment this happens, the moment the resources faced with an
increasing number of projects coming to him. And he's also faced with a
situation where he has to show progress in each of these increasing number of
projects. Right. So all of these are parallel projects. Yes. Absolutely. He has to
work simultaneously, you know, practically simultaneously on all these
projects. Right. And these projects also increasing over a period of time because
we are trying to launch more and more, more, initiate more and more projects
because of our assumptions. Right. So the moment this happens, the resources are
first is first to divide the available time among too many projects. Right. Because
he has to show progress everywhere. He has to keep he, they're forced to switch
amongst projects and divide the available time amongst too many projects. This
causes the average time that are resources pending on a project to go down. And as
the average time that resources pending on a project goes down, the speed of
individual projects also drops. Right. Now, if I refer back to the mystery of
missing time, right, I mentioned, no, where is the time? Where is the missing time
going? Now we know finally where the missing time is going. Right. As you can
see, in most conventional project environments, any additional time given to a
project is invariably divided amongst all the projects in the system through
resource switching. Right. So it's a classic pyramid scheme in action where one
project steals time from another project. So it's like saying the faster you launch
new projects, the slower you make your own projects, you can say that, right?
Absolutely. Absolutely. Absolutely. And any any additional time that you give to
a project is actually being divided among many projects in the system because
invariably, what is our resource doing is switching? Yeah. Right. So if you have
given say three months, additional months to a project, rest assured that those
three months are not going to be going to be used only on that project. A
resource is not going to work only on that project for those three months. He's
actually in an environment of, you know, regular switching, he is going to keep
switching from one project to another. And therefore that time will get divided
amongst too many projects, which is why I called it a classic pyramid scheme. Right.
And to make the situation complex in a further complex in any auto NPT there are
many design teams and suppliers and who are all have to work together in tandem
on a single project. And most of these teams and suppliers are also shared
across projects. Right. So when you have this environment where too many projects
are entering the system and delays are multiplying, every project becomes
urgent and teams are actually no way to decide which project to work on
priority. Yeah. Right. Invariably what happens is that synchronization among
teams suffer, which further adds to the delays. Right. And so, so as I said,
there are two elements of the solution. One is start as early as possible.
Another one is keep reviewing, stick to reviews, more regular reviews.
They actually make the situation much worse than before. And it causes the
projects to get further delayed. Right. And as the projects start getting delayed,
people are forced to take shortcuts to meet time. And so it's the same story which
is getting repeated again and again. Right. And these shortcuts help reduce the
pressure in the short term. They do help to reduce the because you are able to show
some progress by taking shortcuts, cuts in the short term. But they eventually come
back to hunt the organization in the longer term in the form of issue, as I said,
from the plant or the field. In fact, you know, when we go to any organization and we hear the
NPD teams, you know, doing our study or diagnostics, we hear them telling us that they're
spending a substantial portion of their time dealing with issues from previous launches.
And this is making it difficult for them to pick up newer projects.
Interesting. And because they are they are not able to pick up newer projects again,
the story gets repeated. Right. Those newer projects don't.
So they're further delay. Yeah. Further delay. They don't get they people don't really
are not able to focus on those newer projects on time and those projects also get delayed.
Right. So it's a story of a solution which actually worsens the problem rather than, you know,
resolving it. Right. Probably, you know, we we often say that, you know, technology or things in
the come quite late to the Indian market. I'm not sure how much this problem is adding to that
particular issue. Right. What should we are starting point, so to say?
Yeah. So we were talking about the conventional approaches, right, which are taken by the companies,
which are supposedly solution, but they're not actually the solution. They're a part of the problem
itself. Right. And the failure of all these conventional approaches lies in the fact that they
do not consider the project organizations. I repeat, a project organizations capacity at all.
Right. In fact, I would go further and state that most project organizations do not have a clear
assessment about their capacity, their own capacity. They always tend to confuse capacity with
output. When I'm projects parlance, these are two completely different terms.
We can, you know, request for a quick example here because this is really interesting. How can I not
know about my own capacity? Yeah. So I'll tell you why and how, how people get confused, right? And
why is capacity, how is capacity defined in these kind of environments, right? So every NPD system
is actually a multiproject system. Okay. Which means that the multiple projects being executed by
resources was shared across projects. Okay. So you really will come across a dedicated, you know,
kind of a team, which is only working on a single project in an NPD, in an NPD environment.
Okay. So you have resources, teams which are shared across multiple projects. In such a
multiple project system now, the speed of execution of an individual project. Okay. So it's a
multiproject system. In such a system, the speed of execution of an individual project depends
on the overall traffic or WRP of projects in the system. Right. So just like when you're going
on the stepping on to the road, your speed of a vehicle does not depend only on the power of the
vehicle. Right. It depends on the traffic that the vehicle encounters on the road. That's right.
Right. Similarly, in any such multiproject system, now if you consider any project to be a vehicle,
right, and capacity to be a road. Right. And the speed of execution of any individual project will
depend on the overall traffic of projects in the system, which is basically a number of open
projects in the system. Right. Now for such a project, for such a system to be in a stable state,
what do you mean by this system being in a stable state? It means that any addition of a new project,
if I'm adding a new project into the system, it should not take the attention of the resources
away from the projects which already exist in the system. Okay. They should not any new project
should not divert the attention of the resources away from the other project in the system.
And the moment this happens, that is the addition of a single project, new project leads to
slowing down of already existing projects in the system. We know that the system is unstable,
and we are working on too many projects at a time. Okay. Okay. So the idea eventually is not
to work on too many projects at a time, but on enough number of projects. Now, now what is the
meaning of enough but not too many projects? Right. This enough but not too many projects is what we
refer to as a capacity of the NPD organization. And we need to estimate this. We have got tools to
estimate this enough but not too many projects before starting an engagement. Right. And all other
solution elements actually rally around this assessment of capacity that we do at the beginning
of every project. Right. I love the term enough but not too many projects because I think that
really explains it. But you know, apart from estimating the capacity, are there other elements or
what are the other elements of the solution? Yeah, absolutely. So they are this by itself,
you know, this is going to go a long way in solving the problem and there are other, you know,
other elements of the problem also that have to be solved. Right. So after we get a sense of the
capacity, the solution that we have, it puts in mechanisms in place which basically do four things.
Number one, they control the overall system WIP based on the capacity identified.
So the way this is done is by balancing the inflow of projects without flow.
Number two, these mechanisms ensure proper synchronization of work happening on projects across different design teams and different supplier teams.
In a typical NPD large NPD project, you know, large NPD new platform kind of project, there could be as many as, you know, 50 to 60 teams design and development teams working in tandem in different locations across the country.
Okay, even abroad sometime, right. So it's very important that we are able to synchronize the effort which is happening across all these teams.
Right. And this is, this is made very easy. This is in fact the first element of the solution that I spoke about, which was, you know, trying to get the statement, the capacity and put in the first mechanism in place, which was, you know, controlling the inflow without flow, that makes it easy.
Right. But there are some additional solution elements that we have to put in place to ensure the synchronization of work happening across all the teams.
Right. And what this does, it does is to minimize the time gap between the first subsystem development and the last, you know, part development of subsystem development of any given projects.
So given project will have an at least no 2030 subsystems being developed, you know, apparently across different teams.
Now that if the gap between the development of the first and the last subsystem is too high, right, there are certain integration points out there.
Where the projects where, you know, for example, there is vehicle assembly where all the subsystems have to come together for a testing to happen.
Right. If this gap is too high, eventually enough projects is going to get delayed because then you will keep waiting for the last subsystem to come for you to assemble the vehicle.
Right. So that is what is a second, you know, second mechanism that we have of ensuring proper synchronization of work.
The third thing, the third mechanism that we have is to basically measure the flow of individual projects based on proper completion of activities.
As I mentioned, shortcuts or deviations or compromises are a way of life in NPT environment. We have to stop that.
Right. So it's very important for us to measure the flow of individual projects based on proper completion of activities and we have mechanisms in place to ensure that that is happening.
And whenever the flow on a project stagnates, it triggers immediate action at a project level.
Right. Right. And last but not least, mechanism four, which is very, very important is that we also identified teams where multiple projects are stuck and trigger actions to exploit and elevate the capacity of such teams.
Right. Now, this is a team level intervention. This is not a project level intervention or intervention. Mechanism three that I spoke about was more of at a project level.
Mechanism four is more at a team level where a team could be stuck working into many projects at the time. So that team has become, you know, kind of a constraint so as to say, right.
So, so these are, you know, team level interventions that we do. So there are project level actions and also that team level actions taken depending on the signals that we get from the ground.
Okay. Interesting. I mean, quite detail as well because I think those really help. So how soon have we, you know, seen the results come out.
Oh, the mechanisms that are put in place cause a complete shift shift in the focus from managing individual projects to managing the overall flow of the system. Right.
And the effect is seen almost immediately. The system output jumps up within no time.
Depending on the context of the environment, right. So it takes maybe in an auto company, it'll take a couple of months or two to three months with the system output jump up suddenly. Right.
The amount of firefighting the system reduces considerably.
Okay. And that is seen immediately. That's that's seen by every person in the organization immediately.
As a sort of way, the entire NPT organization gets distressed. Right. And reworks and iterations go down because you're completing the activities properly now.
Right. Instances of unplanned issues close to launch day to reduce post-launch engagement of NPT resources goes down drastically because of better adherence to correct process doing the NPT cycle.
And the handover to operations happens more seamlessly than before. So when a project once a project gets launched, it's like, you know, you can, you know, forget about this project for a time being at least.
Irrespective, you know, which is very unlikely when like what's what used to happen the past way they used to keep coming back from time to time. Right. This must be, you know, music to the years for anyone who is going through troubled NPT environment.
Yeah. Yeah. This is like heaven to him. Yeah.
So could you share some of the case studies, you know, we implemented these solutions, these approach that we have taken.
So vector has been engaged with multiple companies in auto sector to roll out the NPT flow management solution. And these companies belong to different segments within the auto sector.
No, we have, we have engaged with a large two-ville manufacturer. Also, we have worked with a tractor major.
We have worked with a prominent commercial vehicles company. We have worked with the, you know, some other organizations also across these.
So in the two-millio manufacturer for instance, also we've seen across these sectors and not just in any one particular sector within the auto industry.
Absolutely across segments. Yeah. So in the two-millio manufacturer for instance, you know, the output on the number of projects that were launched every year, they went up by close to 500% after two years of implementation.
And the lead times went down by, you know, more than half during this time. Right. And they were also, they also found that they were able to meet all their large and small regulatory requirements.
Because as I said, these regulatory requirements keep coming from time to time. And they are a huge source of interruptions to people.
And people don't have an option. But to meet the dates or due dates, which are provided by, many times they are provided by the courts or the governments. Right. And they have to meet those due dates.
So they were able to meet all these large and small regulatory requirements, a lot of ease. When the past, they always used to struggle meeting them.
They used to take a lot of time and then all of a sudden, there used to be a lot of last-moment firefighting to ensure that they don't miss deadlines.
Great. I think this is lovely. And it's really motivating as well that the NPD environments, the way we have seen them for years, is not really the way they need to manage.
They are better ways and they are sustainable ways to manage them and sure. And I'm sure this discussion would be helpful to the listeners as well.
Thanks a lot, Vivek. For all the listeners, if you have any doubts or concerns or questions that you have with whatever we discussed today, you can drop your questions on our social media handle.
Or you can also write to us on our website. Thank you. This is Shubham signing off.
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Podcast Summary
Key Points:
Auto industry NPD projects face severe delays due to a geometric increase in product launches, regulatory compliance demands, and the need for continuous upgrades.
Conventional solutions like early project initiation and frequent planning reviews worsen delays by overwhelming resources and creating a "pyramid scheme" where time is divided across too many projects.
The root cause of delays lies in a lack of capacity assessment—organizations confuse output with capacity, failing to recognize that project speed depends on system-wide traffic and resource availability.
A stable NPD system requires an "enough but not too many projects" capacity model, which ensures new projects don’t disrupt existing ones and maintains consistent execution speed.
Effective solutions include controlling system work-in-progress, synchronizing cross-team development, measuring project flow through proper activity completion, and identifying bottleneck teams for capacity uplift.
These mechanisms shift focus from individual project firefighting to system-level flow management, reducing rework, post-launch issues, and handover delays.
Case studies show up to 500% increases in project output and over 50% reductions in lead times across major auto manufacturers like two-wheelers, tractors, and commercial vehicles.
Organizations successfully meet regulatory deadlines and achieve sustainable, scalable NPD without compromising quality or increasing resource investment.
Summary:
New product development (NPD) in the auto industry faces chronic delays due to a surge in product launches, regulatory pressures, and complex cross-functional coordination. Despite conventional efforts such as early project initiation and detailed planning, these strategies only exacerbate delays by overburdening resources and creating a system where added time is split across multiple projects—effectively forming a "pyramid scheme" of inefficiency. The core issue stems from a fundamental misunderstanding of capacity: organizations confuse output with available capacity, failing to recognize that project execution speed depends on the overall volume of open projects.
The solution lies in establishing a clear, capacity-based "enough but not too many projects" model, which balances project inflow and ensures smooth system flow. This is supported by four key mechanisms: controlling work-in-progress, synchronizing cross-team development, measuring project progress through completed activities, and identifying and addressing team-level bottlenecks. These strategies shift focus from reactive project management to proactive system flow control, leading to immediate improvements in output, reduced rework, fewer post-launch issues, and seamless handovers.
Case studies from major auto companies—including two-wheeler, tractor, and commercial vehicle manufacturers—demonstrate up to 500% increases in project output and over 50% lead time reductions, alongside consistent compliance with regulatory deadlines. This approach not only resolves the long-standing paradox of delays and missed milestones but also provides a sustainable, scalable model for NPD success across the auto sector.
FAQs
NPD projects in the auto sector face delays due to a high volume of projects, resource constraints, and the need to meet ever-changing regulatory deadlines. Projects frequently experience repeated delays, leading to resource switching and a lack of focused development time.
Auto companies need to launch frequent upgrades of existing models, introduce new platforms to target new customer segments, and comply with evolving regulatory requirements—all of which create a compounding demand for new products.
Starting projects earlier or increasing review frequency only adds to the problem by increasing the number of open projects and overwhelming resources. This leads to resource switching, reduced project speed, and further delays.
Capacity refers to the optimal number of projects an NPD organization can handle without slowing down existing projects. It's crucial because the speed of any project depends on overall system traffic, not just individual project effort.
The solution controls project inflow, ensures team synchronization, measures project progress accurately, and identifies bottleneck teams. This shifts focus from individual projects to system flow, improving output and reducing delays.
Benefits include reduced lead times, increased project output, fewer reworks, better compliance with regulatory deadlines, and seamless handover to operations, leading to more stable and sustainable product launches.
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