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The Principles of Product Development Flow: Second Generation Lean Product Development Kindle Edition
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Then, he provides a roadmap for changing this. The book provides a well-organized set of 175 underlying principles in eight major areas. He shows you practical methods to:
Improve economic decisions
Manage queues
Reduce batch size
Apply WIP constraints
Accelerate feedback
Manage flows in the presence of variability
Decentralize control
The Principles of Product Development Flow will forever change the way you think about product development. Reinertsen starts with the ideas of lean manufacturing but goes far beyond them, drawing upon ideas from telecommunications networks, transportation systems, computer operating systems and military doctrine. He combines a lucid explanation of the science behind flow with a rich set of practical approaches. This is another landmark book by one of the foremost experts on product development.
- LanguageEnglish
- Publication dateMay 8, 2014
- File size2612 KB
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This book challenges an awful lot of fashionable ideas on improving product development processes. It provides a vast number of very solid principles that could make a big difference for almost any product development organization, from beginners to the most advanced. It offers a fundamentally different way of thinking about product development processes. Don't read it if you are content with business as usual! ----Andrew Flint, Microsoft Hardware --This text refers to an alternate kindle_edition edition.
Product details
- ASIN : B00K7OWG7O
- Publisher : Celeritas Publishing; 1st edition (May 8, 2014)
- Publication date : May 8, 2014
- Language : English
- File size : 2612 KB
- Text-to-Speech : Enabled
- Screen Reader : Supported
- Enhanced typesetting : Enabled
- X-Ray : Not Enabled
- Word Wise : Enabled
- Sticky notes : On Kindle Scribe
- Print length : 290 pages
- Best Sellers Rank: #257,056 in Kindle Store (See Top 100 in Kindle Store)
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Chapter 1 is somewhat different from the other chapters in that rather than being a series of principles, it provides an overall view of practice orthodoxy and how many of these closely held beliefs are based on secondary or proxy variables. The chapter continues with an overview of several examples and then summarizes and discusses where things are going in the rest of the book as well as the layout. The first chapter is great. I did expect it to end a bit sooner than it did (I was thinking in terms of self-referential, small batch sizes), but I'm not sure a shorter chapter would have been better.
The second chapter introduces the approach for the rest of the book as well as the model underpinning the principles. The approach works for me. I imagine myself reading this book, going back and creating queue cards for each of the principles, then periodically looking up individual ones and refreshing my memory. It seems like a book I can keep going back to and reading just because I want 5 minutes of good reading.
For some context, I'm a software developer. I learned about the Theory of Constraints (ToC) before I really learned software development processes in depth. When I did being the software process journey, it was under the OO umbrella, so incremental and iterative, feedback, etc. This learning, however, I've recently realized (by first reading Kanban and now this book) was heavily influenced by the ToC. At the beginning of this century, I jumped on the XP and Scrum bandwagons, even working with a few of the original signatories on the manifesto for agile development.
ToC came up a number of times while coaching. Moving from ToC to thinking in terms of Kanban isn't much of a leap to me. However, since I was applying things I learned and internalized, things that seem obvious to me are often not obvious to my customers or even my colleagues (yes, sometimes I'm wrong, but often I'm not). For example, at many, many places I've been, companies claim they are practicing continuous integration or even continuous delivery, but then their builds are broken (red) 80+ % of the time. This is a huge cost to productivity, morale, feedback, etc. This is one example of many such examples that, in in the context of ToC are obvious bottlenecks, which cause queueing. If I look with lean glasses, many of these are worthy of stopping the line, but people march on, building up queues of work to be committed, which lead to more broken builds, integration problems, demoralization, etc.
However, what seems obvious to me doesn't seem obvious to others. More importantly, many people don't even see that there's a problem at all! They think, for example, when developers complain about being blocked due to the build being broken, it's just developers complaining about a minor glitch, but it is more typically a systemic problem.
This books presents a model based on economics. One thing that I observed myself observing about the book was that I thought it might be over emphasizing one dimension, cost of delay, or one approach, economics. However, "all models are wrong, some are valuable." While I had this observation, I didn't find anything wrong about the conclusions, and in fact find my self thinking "yes and," so I've kept reading. So while this model may be wrong in some ways (I'm not aware of any), I clearly see immediate and near-term value for me with its use.
What this model does is allow me to speak to upper management, and maybe middle management using a language they are likely to appreciate. I'm able to justify things like slack using economic models, so that I might be better able to communicate with them. So rather than talking about the flexibility and agility that well under 100% utilization might offer, instead I can discuss the cost of delivery related to high utilization (lack of slack). My primary failing up until now is not being able to explain what seems intuitive to me in a way that bridges the communication gap. This model seems to give me another way to both think about it and communicate it.
I have not finished reading the book, but in the the spirit of small batch sizes, this is my first delivery. I'll be making updates as I read the book. I am already confident that I'll finish this book and that I can recommend it to people. It'll have to really work hard to go under a 5 star review.
Finally (so far): my impression so far reading the book is that it seems well researched, brings together a number of disciplines in a non-trivial manner and seems to come form someone who legitimately has many good years of experience, not just the same 1 year of experience repeated over and over.
This is a dense book. The target audience of marketing MBA's, industrial engineers, project and general managers will be challenged. It requires some familiarity with lean manufacturing, economics and operations research. The principles are illustrated but not obvious. The quality, lean manufacturing, Toyota Production System, theory of constraints and technical sources are briefly referenced. The rationale for existing (stage-gate) best practices is not explained. Limits and trade-offs are not discussed.
Nonetheless, this is an audacious and path breaking book. Product development practitioners can learn and apply the principles of this book.
Economics trumps simple versions of quality paradigms. Expected net lifetime value is king. Marginal cost/benefit analysis rules. Global optimums outweigh local ones. Proxy measures undermine optimal economic decision-making. Decisions matter, precision does not. Priority features/competitive advantages matter most. Economic rules of thumb allow decentralized decisions. Cost of delay is managed through an explicit value of time.
Queuing theory manages delays. Project and task cycle times drive the cost of delay. Long queues increase defects, variability and risks. Misplaced high efficiency and utilization goals lead to delays, increased costs and disastrous momentum. Communications links between adjacent processes matter more than bottleneck capacity. Simple views that delays, variability, inventory or waste are evil or have infinite cost lead to bad decisions. Queues are everywhere in product development.
Measure variability with a payoff function. It can be negative or positive. Testing generates information value. Statistics based steps reduce variation, such as smaller tasks and time horizons. Counterbalance and design reuse offset variability. Economic priorities, faster iterations and early high risk actions minimize the impact of variability.
Smaller task batch sizes reduce variability and cycle time, accelerate feedback, improve engagement and reduce risk and overhead. Large batches increase costs, delay progress and may spin out of control. Optimum batch sizes are small and can be found through trial and error. Combine features in separately developed and tested modules. Smaller batches are more beneficial than capacity increases. Large batches impact every step of product development.
Detailed planning and control of tasks is costly. It is more effective to control the work in process between major functions. As with TPS or Theory of Constraints, managing the flow of released product from stage to stage improves final results. Many scheduling, prioritization, resource and recovery strategies can minimize task WIP. A blended generalist/specialist staff skills profile offers flexible capacity.
The flow of activities through product development can be managed. Use forecasts and share information between adjacent stages. Use cadence to set routine start/stop times. Synchronize tasks so that dependent events flow smoothly. Sequence tasks and change priorities based upon risk and incremental economic value added. Build in flexible paths and spare resources.
Develop rapid feedback systems. Employ early warning systems and value at risk triggers to escalate reviews. Align activities through training, incentives and templates. Adjust decisively when required. Use frequent communication to build teams and short queues to build urgency. Employ flow metrics.
Decentralize decision making to speed the flow and avoid management bottlenecks. Provide high level structure in the form of rough-cut plans, rules of thumb, intentions, templates and sequences.
The principles in this book can be applied to any operations or development process. The value added is limited only by the time invested.
Top reviews from other countries
175 principles to establish or boost the flow of product development by focussing decision-making on economic benefit. Each principle is defined in clear language and then practical examples are used to demonstrate how to apply in your workplace.
As an engineering manager and director, this book has become a guiding light that I return to on a regular basis to mine the gems that Mr. Reinertsen has gathered together.
If you are involved in the management of Product Development teams, this book should be bought, devoured and absorbed into your DNA. Anything less is irresponsible.
However, I found it pretty heavy going. Also I have quite a lot of Agile, Scaled Agile and Program Management experience. (I bought this and several other books to review practices and theories prior to designing training and deployment of Agile to a global team). Whilst I found the theory from this book to be correct, in my experience the models are over-simplistic and cannot be used in real world effectively.
We all "know" that short releases cycles, quick feedback, prioritised feature sets etc all make sense but do we all know why that is the case? We all "know" how to manage full queues but do we all know that alternatives exists and that they could perhaps help with managing the flow of the delivery stream even better? What about critical chain project management? Why does it work? How about Theory of Constraints? Is it as good as some people think? This book covers it all. Everything you wanted to know about, well, product development flow but were afraid to ask.
I did find it a challenge to read, and many parts I had to read twice or more. Had it not been for the group I may have struggled to finish it. There is quite a lot of mathematics in it, which can be difficult for some.
However, the book conveys some very good ideas. The economics give you a common value for making choices between different product development options. The parts on design in process inventory, cost of delay and life cycle profits will help our agile teams to give the best value to the customer.
I really appreciated the differentiation made throughout the book between manufacturing (the basis of a lot of lean thinking) and product development, which has variability, is non repetitive and non-homogeneous.
The chapters on managing queues, exploiting variability, reduced batch size, fast feedback and decentralised control were really informative.
I am really pleased that I have read this book. At times I struggled, but the journey was worth it. I will keep this book on my desk and refer to it often.


