PDD Unit Iii
PDD Unit Iii
UNIT III:
PRODUCT CONCEPTS
A: Concept generation, product configuration, concept evaluation and selection,
product embodiments.
B: Quality function deployment, product design specification, physical prototypes-
types and technique, dimensional analysis, design of experiments.
CONCEPT GENERATION
A product concept is an approximate description of the technology, working
principles, and form of the product. It is a concise description of how the product
will satisfy the customer needs. A concept is usually expressed as a sketch or as a
rough three-dimensional model and is often accompanied by a brief textual
description.
For example, concept generation had typically consumed less than 5 percent
of the budget and 15 percent of the development time in previous nailer
development efforts.
Here are the steps involved in generating concepts for product design:
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1. Analyze the problem: The first step in the concept generation process
involves understanding the customer's concerns. The customer may tell you
about the type of product they want, but they may not have all the required
information.
2. Study the existing solutions: Whether the customer finds no solution or wants
a customized solution, learning about existing solutions to similar problems can
make the concept generation process easier. Customizing an existing solution
with relevant functions is often faster and more cost-effective than developing
a new product.
3. Consider new solutions: Once you find a few solutions, you can customize
them to fit the specifications of the project. You may explore those solutions
further to determine which ones to pursue or create a new one. Consider
generating a minimum of three solutions.
4. Review and rank the concepts: After you've developed several concepts for
the product, it's time to explore them further and keep only the best ones. You
can do this in several rounds. For example, you first can remove the concepts
that look too similar or those that are beyond the resources of the organization.
5. Choose the best concept: The final step involves choosing a winning concept.
Companies usually do this through a team decision. You may decide to choose
a hybrid of two or more concepts.
Techniques for concept generation
The following are the important techniques for concept generation:
1. Brainstorming: Brainstorming is a popular technique for concept generation. It
can help you generate many ideas through a group exercise. Create a group of
five to 10 members with a designated leader, including people from different
backgrounds, to get diverse ideas. Describe the problem and the solution
criteria to the group, and encourage suggestions.
2. Reverse brainstorming: Reverse brainstorming is a form of brainstorming
where you encourage group members to think of problems instead of solutions.
It's based on the assumption that our minds have a natural tendency to see
problems more easily than solutions.
3. Whiteboarding: This technique uses a whiteboard to organize ideas as they
come and prevents the team from forgetting them. It's also helpful for
expressing an idea as a sketch or a diagram. This is a tool that works well with
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brainstorming. For example, you can start a brainstorming session and write the
ideas on the whiteboard.
4. Mind mapping: A mind map is a diagram that visually represents information
with a clear relationship between elements and the core concept. The image of
the main concept is in the center and the associated ideas are around it. You can
represent the surrounding ideas as branches, images or plain text.
A Five-Step Method
The mission statement for the project, the customer needs list, and the
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preliminary product specification are the ideal inputs to the concept
generation process, although often these pieces of information are still being
refined as the concept generation phase begins.
Ideally the team has been involved both in the identification of the customer
needs and in the setting of the target product specifications. Those members of
the team who were not involved in these preceding steps should become
familiar with the processes used and their results before concept generation
activities begin.
As stated before, the challenge was to “design a better handheld roofing nailer”. The
scope of the design problem could have been defined more generally (e.g., “fasten
roof- ing materials”) or more specifically (e.g., “improve the speed of the existing
pneumatic tool concept”). Some of the assumptions in the team’s mission statement
were:
The nailer will use nails (as opposed to adhesives, screws, etc.).
Many design challenges are too complex to solve as a single problem and
can be use- fully divided into several simpler subproblems.
For example, the design of a complex product like a document copier can
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be thought of as a collection of more focused design problems.
Follow one of the flows (e.g., material) and determine what operations are
required. The details of the other flows can be derived by thinking about their
connections to the initial flow.
For example, the nailer team chose to focus on the subproblems of storing/
accepting energy, converting the energy to translational energy, and
applying the translational energy to the nail.
While identifying customer needs, the team may have sought out or
encountered lead users.
Lead users are those users of a product who experience needs months or
years be- fore the majority of the market and stand to benefit substantially
from a product innovation.
Frequently these lead users will have already invented solutions to meet
their needs.
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Lead users may be sought out in the market for which the team is
developing the new product, or they may be found in markets for products
implementing some of the subfunctions of the product.
Consult Experts
Experts with knowledge of one or more of the subproblems not only can
provide solution concepts directly but also can redirect the search in a more
fruitful area.
While finding experts can be hard work, it is almost always less time
consuming than re-creating existing knowledge.
Search Patents
Searching the Internet is often a good first step, although the quality of the
results can be hard to assess.
At this point the team will likely already be familiar with the competitive
and closely related products.
Products in other markets, but with related functionality, are more difficult
to find.
2. Generate a lot of ideas: Most experts believe that the more ideas a team
generates, the more likely the team is to explore fully the solution space.
Further, each idea acts as a stimulus for other ideas, so a large number of ideas
has the potential to stimulate even more ideas.
3. Welcome ideas that may seem infeasible: Ideas that initially appear infeasible
can often be improved, “debugged,” or “repaired” by other members of the
team. The more infeasible an idea, the more it stretches the boundaries of the
solution space and encourages the team to think of the limits of possibility.
Therefore, infeasible ideas are quite valuable and their expression should be
encouraged.
As a result of the external and internal search activities, the team will have
collected tens or hundreds of concept fragments—solutions to the subproblems.
Systematic exploration is aimed at navigating the space of possibilities by
organizing and synthesizing these solution fragments.
One approach to organizing and synthesizing these fragments would be to
consider all of the possible combinations of the fragments associated with
each subproblem; however, a little arithmetic reveals the impossibility of this
approach.
Although the reflection step is placed here at the end for convenience in presentation,
reflec- tion should in fact be performed throughout the whole process. Questions to ask
include:
Is the team developing confidence that the solution space has been fully
explored?
PRODUCT CONFIGURATION
There are many benefits associated with product configuration, that can support both
manufacturing and sales processes, such as:
Simplifying complex products: some products, particularly in the B2B space,
have numerous features, options, capabilities, and calculations involved, which
can result in businesses thinking their product is too complicated for
eCommerce channels.
Quicker ideation and completion: businesses can shorten the process
between imagining a new configured product idea and visual proof of concept,
to manufacturing
Capture product expert knowledge: a configurator can capture and embed
the knowledge of the best product specialists, and make that information
available to everyone, so even a new starter or someone with low technical
skills will be able to quickly offer the best solution to customers as they have
all the information they could need
Optimal specifications: depending on a customers’ requirements, salespeople
can proactively provide the best and most accurate price based on what the
customer values most
Faster quotes: the process of product configuration enables organizations to
generate quicker quotes with easy configuration selection, that are more
accurate and tailored to customer needs
Accurate orders: Despite the challenges that complex or highly-configured
product systems can encounter, a fully-integrated system that combines
manufacturing with automatic product specifications means that human error is
reduced and customers can be confident in the accuracy of their order
Types of Product Configuration
1. Geometrical
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Geometrical configuration is about positioning objects to create a layout of
e.g., a production line.
The layout must fulfill given rules of functionality (e.g., have the right
production sequence).
The layout must also be free from collisions, both internally in the
configured product, but also with any existing objects such as pillars, other
equipment, etc.
A typical task of a geometrical configurator is also to adjust parametric
objects, perhaps to bridge the gap between two machines with a conveyor.
CAD software with predefined functional blocks or a geometrical
configurator could be the tool to use.
Two examples of publicly available geometrical configurators are IKEA's
Kitchen Planner, and Elfa's Storage Planner.
2. Functional
Many existing systems used in the industrial operation rely on having BOMs that are
fixed to be able to generate plans for material purchasing, assembly, etc. A
workaround has been to create Super BOMs. Super BOMs are overloaded
representations of a product, typically containing all possible options that can be
added. Once the real BOM is to be generated based on the actual order, lines of the
Super BOM are removed to represent the actual product to build. However, for more
complex products, where the structure is different for each order, this approach is
problematic.
CONCEPT EVALUATION
A concept evaluation service is a strategy to understand consumers’ needs,
thoughts, and feelings regarding potential products, mock-ups, prototypes. This
market research methods provides concrete evidence to guide you toward a
triumphant market entrance. These market research strategies primarily come in two
forms:
(ii) Quantitative: We Collect valuable insights and data from a large selection of
participants, providing you with numerical values to paint a clear picture of
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how your creations satisfy their wants and needs. An example of this involves
using surveys to ask individuals to rate their experience on a scale of one to ten.
This requires,
2. a reference design that is used as a control and against which comparisons are
made, and
3. selection of method to rank concepts with respect to the criteria that is both
effective and efficient.
The concept rated best in comparison or ranked first I called the most fit
concept.
(i) Basic Decision Matix: A decision matrix is a series of values in columns and
rows that allow you to compare possible solutions visually by weighing
variables based on importance.
(ii) Feasibility judgement: A feasibility study is designed to help decision-
makers determine whether or not a proposed project or investment is likely to
be successful.
(iii) GO/NOGO screening: A go/no-go test is a two-step verification process that
uses two boundary conditions, or a binary classification.
(iv) Advanced Decision Matrix: The Pugh Matrix is an advanced decision-
making method that compares each alternative against a baseline called the
datum.
(v) Weighted Decision Matrix: The weighted decision matrix is a great business
tool that allows you to make unemotional and calculated decisions.
(vi) Analytical Hierarchy Process: The analytic hierarchy process (AHP) is one
of the most popular and widely employed multicriteria methods.
Measurement Scale for Concept Evaluation
A five-point scale has been rated good for providing sufficiently fine
measurements without being overly precise. The scale is linear and ranges from
-2 to +2 mostly.
CONCEPT SELECTION
Concept selection is an activity in the product design process, where alternative
concepts are compared and a decision is made to select the alternative(s) which
proceed into the later phases of design. Several authors have raised concept selection
as one of the most critical issues in design. There are at least three remarkable
challenges in concept selection. First, the nature of available information is usually
based on subjective perceptions and speculations, and accurate calculations are
seldom available. Second, the stake-holders, users, designers and producers, can have
conflicting requirements concerning e.g., product design and manufacturing, or
product performance and sales price. And third, the freezing of product concept can
have far-reaching effects on product costs and customer satisfaction, which can only
be fixed with additional costs and time.
All teams use some method for choosing a concept
External decisions: Concepts are turned over to the customer, client, or some
other external entity for selection.
Product Champion: An influential member of the product development team
chooses a concept based on personal preferences.
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Intuition: The concept is chosen by its ‘feel’. Explicit trade-off criteria are not
used. Concept just ‘seems better’.
Multi voting: Each member of the team votes for several concepts. The
concept with the most votes wins.
Benefit of concept selection
• Customer‐focused product
• A competitive design
• Better product‐process coordination
• Reduced time to product introduction
• Effective group decision making
• Documentation of the decision process
In the concept select on, a two‐stage concept selection methodology, the first stage is
called concept screening and the second stage is called concept scoring.
Stages, concept screening and concept scoring, follow a six‐step process
which are the team through the concept selection activity.
The steps are:
• Prepare the selection matrix
• Rate the concept
• Rank the concept
• Combine and improve the concept
• Select one or more concept
• Reflect on the result and the process.
Concept Screening: Concept screening is based on a method developed by the late
Struart Pugh in the 1980 and is often called Pugh concept selection (Pugh, 1990). The
purposes of this stage are to narrow the number of concepts quickly and to improve
the concepts.
Step 1: Prepare the selection matrix
Enter concept variants
The same level of detail
Graphical and/or textual representation
Choose selection criteria
Consider use of primary customer needs
Consider use of enterprise needs (price, manufacturability, etc.)
Choose criteria that differentiate your concepts
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List criteria of similar importance
Do not list unimportant criteria
Choose reference concept
Could be industry standard, best-in-class benchmark, top seller, an early concept,
a new concept or one of the considered concepts
Pick a reference that will allow you to differentiate your concepts
Step 2: Rate the concept
Rate the concepts - assign relative scores
“Better than” (+)
“Same as” (0)
“Worse than” (-)
Use objective metrics if possible
Step 3: Rank the concept
The sum of all the “better than” “same as” and “worse than”
Step4: Combine and improve the concept
Is there a concept that is generally good but degraded by one bad feature? Can a
minor modification improve the overall concept while remaining distinct from the
other concepts?
Are there two concepts which can be combined to preserve the “better than” qualities
while eliminating the “worse than” qualities?
Step 5: Select one or more concept
The number of concepts selected for further review will be limited by team resources
(personnel, money, and time)
The team must clarify which issues need to be investigated further before a final
selection can be made.
o Another round of concept screening?
o Will concept scoring be applied next?
Concept Scoring Concept scoring is used when increased resolution will better
differentiate among competing concept. In this stage, the team weights the relative
importance of the selection criteria and focuses on more refined comparisons with
respect to each criterion. The concept scores are determined by the weighted sum
ratings. In this part there are three concepts that will be scoring to choose the
compressor concept, which is suitable to use for vehicle refuelling appliance system.
Step 1: Prepare the selection matrix
Choose selection criteria
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Consider more detailed selection criteria
Include importance weights for the criteria
1 to 5
allocating 100% among all
Enter concepts
Choose reference concept
Different reference concepts may be used for each criterion to avoid scale
compression
Average performance concept, benchmarked concept, target values for product
specifications
Step 2: Rate the concept
Choose scale ( 1 to 5, or 1 to 9)
Reference point is in the middle
Assign relative scores to the concepts
For each criterion consider the performance of each concept relative to the
reference point
Step 3: Rank the concept
Calculate weighted scores by multiplying the raw scores by the criteria weights
Step4: Combine and improve the concept
Look for changes and combinations that improve the concept
Step 5: Select one or more concept
Check sensitivity of selection to the importance weightings and ratings.
Consider uncertainty about ratings
The goal of concept selection is NOT TO SELECT the best concept.
The goal of concept selection is TO DEVELOP the best concept.
So remember to combine and refine the concepts to develop better ones.
EMBODIMENT DESIGN
Embodiment design is one of the main stages of the product design process in
which, the main engineering product design concept is developed as per the product
design specification (PDS) and economic criteria to a stage where subsequent detailed
design can lead directly into production.
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The embodiment product design phase of an engineering product design follows the
concept design phase where various concepts are generated and evaluated to produce a
single final concept.
In some sections of literature, this phase is also referred to as preliminary
design or system-level design. The term Embodiment design is coined by Pahl and
Beitz (2006) and adopted mostly by modern European engineering product design
managers. Concept design followed by Embodiment design and detailed design is
more suitable for an engineering product design hence this article uses these terms
although there are various product design process models.
The output from the Concept design might vary from simple block diagrams
(figure 2) to very early prototypes concepts. It depends on what type of product
development the company is pursuing.
times with changing data and any changes in one section will influence another
section of the design.
Every engineering product design is different and adds this to the above
challenges, precisely the reason why it’s very difficult to have strict set-out plans for
the embodiment design phase.
So, at the embodiment stage of new product development, an abstract design
concept will get moulded into a system or product that works and can be
manufactured within the allocated unit cost.
Product architecture
Design configuration
Parametric design
Product architecture
Product architecture also referred to as System-level design is, outlining
and allocating physical components or entities to the function of a product.
Physical elements are defined and arranged to satisfy the overall product
requirement specification and are usually called modules.
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System-level design is defined by how each subcomponent or modules interact
with each other at a product level and the function of each subcomponent. Product
architecture is vital to any product development as it would impact the product
evaluation and the cost of the product.
Product architecture can fall into two categories or
styles. Modular and Integral.
Modular
Integral
Design configuration, sometimes referred to as form, develops from its function and
strongly depends on available material and its manufacturing techniques.
The design configuration phase should involve the following steps;
Identify and define the interfaces and connections between the components
Parametric design
Design variable is an attribute of a part whose value is under the control of the
designer – these are typically dimension, tolerance, material, surface finish, heat
treatment etc.
The main objective of parametric design is to set values for the design variables
that will produce the best possible design considering both the performance and cost.
Parametric design is also about setting the dimensions and tolerances to maximize
quality and performance and minimize the cost.
Safety and standards: Safety standards are voluntary guidelines that specify
the best practices and requirements for product design, testing, certification,
and documentation. Safety regulations are mandatory rules that enforce the
legal obligations and responsibilities of manufacturers, distributors, and users
of products.
Testing: Testing is the best way to see how your ideas, prototypes, and
products perform in real environments with real users.
PHYSICAL PROTOTYPE
Product prototype
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A product prototype is the first version or test version of a product. You’ve
probably seen a prototype before. The material or way the prototype gets created
depends on what you want to test.
For example, if you want to test its dimensions, only the physical space will
need to be tested to ensure all the parts aren’t too big or too small. This type of
prototype will probably be hollow and not functional.
Usually, most types of prototypes break down into two categories. So,
Prototypes are either used to test functionality or test aesthetics.
Aesthetic Prototypes
Aesthetic prototypes are what they sound like. It is testing the product’s
looks. Dimensions, ergonomics, and visual design. These prototypes can be helpful
for presentations or photos since they’re built to look “pretty.”
Functionality Prototypes
Functionality-oriented prototypes test mechanisms, durability, reliability,
and material strengths. These usually look a bit rougher and “prototype-y” because
they are merely used for functionality tests, so appearance isn’t a priority.
Popular Physical Prototyping Methods
There are many methods and processes of creating prototypes. Here are the
most popular.
3D Printing
Technology has come a long way in the last two decades. One of the
marvelous inventions introduced to the world is 3D Printers. These machines can
print any part or full model with many different materials. Some commonly used
materials are PLA plastics, silicones, nylons, and many more.
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Below are some examples of various items that are 100% 3d printed.
Depending on the size, a prototype can be printed in one go or printed into multiple
parts and then assembled.
DIMENSIONAL ANALYSIS
DESIGN OF EXPERIMENTS
Design of experiments (DOE) is a systematic, efficient method that enables
scientists and engineers to study the relationship between multiple input variables (aka
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factors) and key output variables (aka responses). It is a structured approach for
collecting data and making discoveries.
To determine whether a factor, or a collection of factors, has an effect on the
response.
To determine whether factors interact in their effect on the response.
To model the behavior of the response as a function of the factors.
To optimize the response.
Ronald Fisher first introduced four enduring principles of DOE in 1926: the
factorial principle, randomization, replication and blocking. Generating and analyzing
these designs relied primarily on hand calculation in the past; until recently
practitioners started using computer-generated designs for a more effective and
efficient DOE.
DOE is useful:
In driving knowledge of cause and effect between factors.
To experiment with all factors at the same time.
To run trials that span the potential experimental region for our factors.
To illustrate the importance of DOE, let’s look at what will happen if DOE does NOT
exist.
Experiments are likely to be carried out via trial and error or one-factor-at-a-time
(OFAT) method.
Trial-and-error method
Test different settings of two factors and see what the resulting yield is.
Say we want to determine the optimal temperature and time settings that will
maximize yield through experiments.
How the experiment looks like using trial-and-error method:
1. Conduct a trial at starting values for the two variables and record the yield:
Change the value of the one factor, then measure the response, repeat the
process with another factor.
In the same experiment of searching optimal temperature and time to maximize yield,
this is how the experiment looks using an OFAT method:
1. Start with temperature: Find the temperature resulting in the highest yield, between
50 and 120 degrees.
1a. Run a total of eight trials. Each trial increases temperature by 10 degrees (i.e.,
50, 60, 70 ... all the way to 120 degrees).
1b. With time fixed at 20 hours as a controlled variable.
1c. Measure yield for each batch.
2. Run the second experiment by varying time, to find the optimal value of time
(between 4 and 24 hours).
2a. Run a total of six trials. Each trial increases temperature by 4 hours (i.e., 4, 8,
12… up to 24 hours).
2b. With temperature fixed at 90 degrees as a controlled variable.
2c. Measure yield for each batch.
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3. After a total of 14 trials, we’ve identified the max yield (86.7%) happens when:
Temperature is at 90 degrees; Time is at 12 hours.
As you can already tell, OFAT is a more structured approach compared to trial and
error.
But there’s one major problem with OFAT: What if the optimal temperature and
time settings look more like this?
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We would have missed out acquiring the optimal temperature and time settings based
on our previous OFAT experiments.