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LATEST PCB ASSEMBLY PLANNING TOOL
SOLVES THE HIGH-PRODUCT–MIX
EFFICIENCY CHALLENGE
MICHAEL FORD, VALOR DIVISION OF MENTOR GRAPHICS CORPORATION
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Optimal planning and sequencing of work-orders is critical to achieve high productivity and on-time delivery
especially where demand changes frequently and with short notice. The new Valor Production Plan software
provides a specialist intelligent planning engine created by Mentor Graphics, which is specifically tailored to
include the unique requirements for the planning of surface mount technology (SMT) lines, plus all related
assembly processes. In this paper, we look into the real needs of surface mount manufacturing planning to
discover the opportunities that exist to improve optimization and performance through better planning.
THE SPECIAL REQUIREMENTS OF SMT PLANNING
SMT production represents a unique challenge to existing planning and schedule tools. Performance of the
SMT placement machines, no matter how efficient and highly performing individual SMT processes are, is
directly influenced by the combination of materials setup on the machines and the choice and sequence of
work-orders. SMT performance overall is dependent on the size of work-orders and the mix of products. Most
of printed circuit board (PCB) electronics manufacturing has been high volume, where a single product is
made continuously with few model variations; but today, it’s trending to high mix in which a wider mix of
different products is made, ideally concurrently, but practically, and distributed across a few production lines.
The entire factory capacity planning model is completely different for high mix because every element in the
factory has to be split to interleave production of smaller batch sizes across the different products. The cost is
the significant time taken for the changeover between products.
Companies who have made the transition unaided from once enjoying stable consistent high volume
production, toward the more volatile higher mix production have recorded reduced productivity as much as
50% or more. Whereas high-volume lines can be expected to make several products within each five minutes,
a low-volume, high-mix line will make that just the same quantity of products over a whole day.
The production cost expressed in terms
of each PCB produced, including the
fixed costs of production, SMT machine
investment, direct and indirect labor
costs, etc., in the low-mix situation are
more than 250 times higher than for
high volume. The goal for any operation
faced with increasing mix should be to
find a way to minimize this cost and to
achieve comparable levels of
productivity no matter what the
product mix or volume may be. This is
as an essential factor for survival for
many companies today.
Common tools used to create optimized
production plans today are inadequate
for SMT. Site-level tools are used in
many cases, such as those provided as part of the site-level enterprise resource planning (ERP) operation,
traditional manufacturing execution systems (MES), or specific advanced planning and scheduling (APS)
solutions. These tools are designed for general manufacturing, and they are unable to take account of the
specific characteristics and requirements of SMT.
At the other end of the spectrum are tools provided by SMT machine vendors. The machine vendors are
obligated to provide software that can create optimized programs for their machines, which have evolved to
include support for using common feeder setups between products. The scope of these functions is limited
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because SMT machine vendors cannot be expected to provide factory-level solutions across lines with
competitors’ machines nor for processes upstream of downstream of SMT.
IMPLICATIONS FOR ALL SECTORS OF THE ELECTRONICS
INDUSTRY
These planning challenges are relevant across every industry sector involved in electronics PCB
manufacturing. Telecommunications, consumer, and industrial manufacturing has had an extended life of
high-volume manufacturing—however, today, the number of product variants is increasing, and the longevity
of product lifecycles is decreasing. There is significant depreciation also in the value of products throughout
the distribution chain, between the factory and the customer.
The factory ideally should be making a constant flow of all product variants to meet the demand from the
customer continuously, but this is impractical. In reality, there are not enough production lines to produce
these many product variations simultaneously so changeovers have to be made between the different models
on each line. High volume is now being sacrificed for the higher mix of products. Factories that have to adapt
to this situation are now seeing significant reductions in productivity because machines and line
configurations are not well-suited for higher mix environments. For existing production assets to respond to
the needs of the customer, the planning decision-making process is critical.
Other sectors in the market that have been used to high-mix production for some time, for example,
automotive, medical, and aerospace, also have critical issues to deal with in the planning decision-making
process. Margins on products are very tight because of the potentially much higher cost of manufacturing in
lower volumes. The products made must also operate in the most inhospitable of environments at a very high
level of quality and reliability, and many of these products are safety-critical. Production planning must meet
financial goals that require minimizing customer lead-time while reducing the stock and raw materials
investment, while also trying to minimize variations in the manufacturing processes, even when there is
volatility in short-term delivery demand.
Precise control of the SMT planning operation is essential. Manufacturers need to be able to translate the
customer demand and expectations of business efficiency into a production plan that will genuinely optimize
all aspects of the production flow.
THE COMPELLING NEED TO ADOPT A NEW APPROACH TO
PLANNING
Although the inadequacy of existing planning tools for SMT has been an issue for some time, the importance
of it has recently been increasing rapidly. The origin of this is a reflection of changing demand patterns in the
market. It is not only smartphones that consist of sophisticated and fashionable technology, with a high
degree of variations and short product cycles. Demand patterns across the board in electronics are being
influenced by rapid changes in technology, with high risk of deprecation of current models and the demise of
the distribution chain in favor of direct shipping from factories, especially as Internet shopping and direct B2B
ordering trends increase.
The control of product supply and demand in the medium and long term is not the issue. This continues to be
managed by product managers and marketing teams, sensing market conditions and competitor activity,
controlling demand using pricing and advertising.
The short-term variation to the factory, however, cannot be managed in this way. With the very short or even
non-existent distribution chain, the factory sees the raw fluctuation in short-term demand. To meet the
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changing demand, the factory has to decide whether to build to stock, effectively emulating the distribution
chain and taking on the associated warehousing costs and risks of depreciation, or, whether to build products
more closely in line with what the customer wants, addressing the challenge for planning to maintain
operational productivity.
Seeing how this trend is developing, and how it is linked to overall business opportunity, this has become a
compelling need for many of today’s factories, to find a better solution for SMT shop-floor planning.
OPTIMIZATION OF THE SMT PROCESSES
While generic planning and scheduling systems can plan most manufacturing operations effectively, SMT
represents a more complex optimization methodology, stemming from different aspects of the machines
themselves and how machines are used together in a line.
SINGLE SMT MACHINE OPTIMIZATION CONSIDERATIONS
Each SMT machine has a theoretical placement speed, usually expressed as placements per second. This figure
is presented in the marketing materials to indicate the performance potential of the machine. However, this
speed can only be achieved under certain conditions.
In reality, many factors reduce the effective speed of the machine. These include factors that are usually
considered unavoidable, such as certain parts that may need a slower machine movement because of their
size or mass distribution or the parts may need visual recognition before placement. These losses can be
minimized through the choices of machines working together in the lines to use the most effective machine
for the job.
Other significant
factors that are
considered more
avoidable reduce the
effective speed of the
machine, such as
excess machine
placement head travel
across the PCB to and
from the many
feeders of materials. If
the distances exceed
certain limits, then
the machine will take
longer than
advertised per
placement. Because
hundreds of materials
can be set up at the
machine side-by-side
during production, inevitably not all of them can be situated close to the PCB, and it will take additional time
for the machine placement heads to reach the more distant ones.
The machine program optimizer will try to minimize these losses by extended head travel, by putting the
more popular materials within short reach and those used perhaps just once on each PCB toward the end.
Different machine placement and movement technologies have been developed to mitigate these kinds of
Figure 1: Optimization of SMT based on the
single machine.
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losses. However, many different factors need to be considered when fully optimizing machine programs
because of the significant variations between machines with different technologies. Over the years, effective
software available from the machine vendors has been developed to product optimized machine programs,
including the Mentor Graphics Valor multi-vendor Process Preparation software.
SMT LINE OPTIMIZATION CONSIDERATIONS
SMT production generally consists of lines of two or more machines because two or more machines are often
required to provide the necessary number of material feeder positions. Machines with differing characteristics
will be chosen, each specializing on different sizes and types of SMT materials, which provides the opportunity
for the materials needed on a product to be placed by a machine with the most optimal characteristics. These
machines may be ones working on a compatible software platform, or they could be from different machine
vendors.
A key consideration for overall line optimization is the splitting of materials between the different machines. A
key part of the decision-making process is then the balancing of work between machines in the line, a critical
part of optimization, because the line can only be as fast as the slowest machine.
The splitting of materials between machines and line balancing, where all machines are on the same platform,
can usually be done by the machine vendor’s software. Otherwise, this has to be done manually, requiring
much iteration, each after the individual machine programs have been optimized, until a satisfactory balance
is achieved.
COMPROMISING SMT EFFICIENCY IN HIGH-MIX SCENARIOS
For high-volume manufacturing, this machine and line-level optimization may be enough, but in all other
cases, another much more important factor needs to be considered. The time taken to change from one
product to another on an SMT machine can contribute more productivity loss than any other cause, even if
there is only one model change per day. The tear down of the hundreds of materials from the previous
product, and the set-up of the hundreds of new ones for the next product, in each case performing
verification to ensure no mistakes in the material positioning, can take many hours.
By contrast, the optimizing a couple of seconds off the time for a machine program or line balance can be
insignificant by comparison for a smaller quantity of PCBs when operating in a high-mix environment.
Figure 2: SMT optimization—Line
speed is only as fast as the slowest
machine.
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Un-optimized change-overs can reduce productivity by half, or worse depending on the number of
changeovers per line per day.
The way to reduce the material setup times between models is to create “common feeder setups”. Instead of
having a dedicated material setup for each product, a single setup is made to accommodate a range of
products. For sequentially running products sharing a common feeder setup, all or most of the materials and
their feeders positioning will stay the same; so in theory, a significantly reduced or even eliminated change-
over time can be achieved.
Different elements of the common feeder setup can be used as required. Various material positions include:
Common Feeders: Materials in positions that do not change between products. The same material stays in
place the whole time. It may be that certain products do not use these materials, but even then, these
materials are not removed from the machine.
Variable Feeders: Where there are not enough positions available on the line to accommodate all of the
materials for all of the products in the common feeder setup, some feeders will need to be changed between
products. Usually, depending on the commonality of the products within the group, this will be a low number
of materials. Where possible, these variable materials will be grouped together, for example on a removable
trolley, so that it is just a single trolley that needs to be moved on or off the machine at changeover. It is
possible to use removable trolleys for all of feeder positions, removing the need for common setups at all, but,
the more trolleys that are used, the more the duplication of feeder setups that need to be made, substantially
increasing raw materials stock levels and materials logistics complexity. Restricting the changes to just one or
two trolleys makes this viable.
Static Feeders: These are designated as fixed, no matter what the group of products may be. These are usually
very few static materials, as these represent the most common materials that are used in high quantities
across all products the factory is making.
However, the use of common feeder setups has a consequence. The order of materials on each of the
machines is now determined by the combination of different products. The position of the materials still
remains a critical factor that affects the machine program efficiency. Disregarding each product’s material
setup makes it inevitable that each SMT program within the group of products belonging to the common
feeder setup is going to be significantly slower, and significantly less efficient. The degree to which this is an
issue is strongly determined by the degree of material commonality between the products that were grouped.
Some optimization engines at the SMT machine level support the grouping of materials across different
products, but, require a prior decision to have been made about which products should grouped together.
Without thorough analysis of the commonality of all potential sequences of products that need to be made,
together with consideration of the rest of the optimization parameters, the result will often be some poor
common material setups in terms of machine efficiency capability.
Figure 3: Sequence of work-orders and materials set-up time is most significant.
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Here then, we have a chicken-and-egg situation. Optimization of SMT, other than high continuous volume
production, depends on both the optimization of the machine, line balance and material setups, plus, the
sequence and timing of production to ensure that the right products will be made to meet delivery demand.
Current planning tools are limited to require one of these two optimizations to be done before the other.
In one scenario, the decision of the work-order sequence to satisfy demand is done first, determining which
set of products should be grouped in a common setup, and then the common feeder setups within the group
are optimized for the machines.
In the other scenario, the best combination of product grouping is made from a machine performance point
of view, and then, the work-order sequence decided which best fits the customer delivery needs.
Whichever way it is done, the first decision becomes an assumptive input into the second. Neither kinds of
existing legacy tools today, though specialist in their own areas can, for SMT, provide the complete
optimization package in one. It can be very frustrating knowing that can be a better way to make each SMT
plan, but being unable to do it, other than perhaps continuous manual trial-and-error.
ENHANCING ERP SHORT-TERM PLANNING
ERP system providers have been approached by many customers to improve site planning to take
consideration of the SMT and more rapid demand changes from customers. However, the fundamental logic
of ERP dates back to a time when mass production was the normal situation and production plans spanning
months were easily created and reliably executed. Because of the lead-times of materials ordering, this basic
business process is unlikely to change for medium- and long-term planning.
To address short-term issues, however, ERP and traditional MES systems simply don’t have the access to
specific production configuration capabilities versus product models and other operational knowledge
needed about the SMT machines and related processes. Therefore, ERP needs to be provided with some
enhancement in terms of short-term planning, specifically engineered to create a flexible SMT production
environment. It’s not another Y2K-type change, where reinvention of the whole of the manufacturing business
systems would be required.
Enhancing ERP with a sophisticated SMT planning engine is a very manageable improvement to make from
the operational and IT perspective. The Valor Production Plan solution is an SMT-specific optimization engine
that combines the optimization of work-order planning, while simultaneously preparing the best materials
setups for machine optimization. This essentially resolves the chicken-and-egg issue, finding every possible
opportunity for real productivity enhancement in even the most highly volatile production operations.
OPTIMIZATION REQUIRES EFFICIENT INFORMATION
ARCHITECTURE THAT LINKS SMT WITH ERP AND MES
The Valor Production Plan software is central to the manufacturing operation. Its strength comes from
connections with key data sources. The first of these is the process engineering information. It is important to
understand the exact detail of products that are to be made. An existing source from where this information
can be derived is the SMT machine programs and libraries. In cases where machine vendors provide a
software platform with an interface, data can also be extracted directly from these.
The Valor Process Preparation software can also of course provide complete product setup information. The
key is to understand which materials will be used, the way of setup and usage of the materials on each of the
machines, and the quantities of each of the materials used per PCB.
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KEEPING TRACK OF REAL-TIME STATUS
Another key data source is the visibility of feedback of the operation on the shop-floor, to understand what is
really happening and what the status is. This can often be the simple entry of the currently running
production condition at the time of optimization, but can extend to a real-time feedback of progress from the
line, using the Valor direct machine interface connections provided with the asset utilization or material
verification software, for example. The more accurate and detailed the production progress information is, the
greater the opportunity for risk-free optimization of near-term processes.
BETTER RAW MATERIALS MANAGEMENT
Another key data source is information about raw materials. Interfaces between Valor Production Plan and ERP
can be used to transfer available material stocks; however, ERP has limited knowledge of the shop-floor
materials, so relying on ERP alone for materials management is not ideal.
Linking Valor Production Plan to an MES system where materials are more positively tracked on the shop-floor
yields much better results and reduces the risk of material starvation when executing optimized schedules.
The Valor Lean Material Management software can take this one step further, by not only providing a very
accurate knowledge of material availability across all warehouses and shop-floor locations, but also providing
just-in-time materials logistics. The use of Lean materials logistics means that existing work-orders can be
much more easily cut-short without the need to count, remove, and re-assign the physical materials “pushed”
on to the shop-floor.
Figure 4: Information about production progress is an important factor for optimization.
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CLOSING THE LOOP
The link between ERP and Valor Production Plan is important for the transfer of the overall master site-plan
form ERP and then subsequent feedback of completions. The Valor Production Plan software takes the master
site plan and performs a detailed breakdown, creating an operational plan on a machine and line basis. Work-
orders at the machine level are then used to associate and manage assignments of operational data, such as
machine programs, material setups, and consumption information to be used as part of the simulation and
optimization process. Once optimized, the resultant work-order sequences are ready to directly execute on
each of the lines, following the time-line provided.
OPERATIONAL IMPROVEMENT USING VALOR PRODUCTION
PLAN
Leveraging the power of the Valor Production Plan solution has a profound effect on the shop-floor planning
operation. The typical scenario happening every month completely changes.
Originally, the shop-floor planning would start with demand detail coming down from ERP about the quantity
required for each of potentially hundreds of different products needed in the coming period. Without
knowledge of the specific SMT processes, the planning engineers would then need to spend many days trying
to create a plan that would achieve the required delivery goals. Having time to provide a reasonable degree of
refinement that considered alternatives was very limited, often being hampered during this process by last
minute change requests. Often, many operations would need to be re-planned over and over again.
Shop-floor planning responsibility is one of the most critical issues to enable the factory to achieve its peak
productivity. The production planning team is definitely amongst the hardest working in the operation; even
though, they typically can only achieve the minimum to keep the operation running.
Once Valor Production Plan has been introduced, the situation is quite different. The approach is now for the
planning team to first ensure that data from all sources is updated and available. The planning team sets and
adjusts the planning policy as controls within the Valor Production Plan software, specifying the relative
importance of key planning criteria such that the resultant plan exactly meets the manufacturing needs. This
Figure 5: Adjusting settings to create “what if?” scenarios.
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can be set just once, although tweaking these rules can be effective where genuine compromises need to be
made in response to genuine SMT capacity issues.
RUNNING THROUGH DIFFERENT SCENARIOS BEFORE STARTING PRODUCTION
Valor Production Plan allows several “what if” scenarios to be considered, such as those created using slightly
different priority parameters. Valor Production Plan’s algorithms then take away the heavy and repetitive
work-load of the creation of work-orders in sequence that can also group materials in the most optimum way
for machine operation. There should be no risks in executing the resultant schedules because all key criteria is
modeled and simulated by the system according to the data utilized from other systems.
MANAGING COSTS MORE EFFECTIVELY
All of the functions and actions of Valor Production Plan are shown graphically, so that it is easy to understand
what will happen and where the costs of manufacturing lie. Valor Production Plan displays the analysis of
production costs contributed by many key factors considered during the optimization by work-order.
Figure 6: Graphical display of groups and schedules.
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09-14 TECH12320
IN SUMMARY
The Valor Production Plan tool is able to accurately model SMT material commonality parameters while
making the most optimum sequence of work-orders to satisfy customer demand. The integration capabilities
of Valor Production Plan with a variety of data sources ensures consistency with other systems in the factory
and reduces the cost of ownership because the vast majority of data required is shared from and with other
systems. While Valor Production Plan can be used together with existing shop-floor and materials systems in
the factory as a simple add-in, it can also be used together with the other key Valor shop-floor solutions, such
as Valor Process Preparation and Valor Lean Material Management.
Valor Production Plan is a specialized solution for SMT and associated PCB assembly and test processes,
unique in the market in its ability to perform both the work-order sequence optimization and the SMT
material feeder optimization concurrently. This is an essential advantage for higher mix or volatile production
environments where customer demands can change frequently.
For production sites with higher volume orientated equipment, lines can now be once again dedicated, but
instead of being dedicated to a specific product, they now will appear dedicated to a group of products, with
very few material changes between them, if any. Productivity levels can recover to or remain at the levels
expected of high-volume production while actually achieving high mix, with flexibility.
The difference made by using Valor Production Plan is that not only is the commonality of feeders created and
optimized by the system, but also selection of the groups of products and sequential order of the work-orders
are decided by the system concurrently, so that the final schedule is the most optimum given the customer
requirements and not dependent on any assumptions that simply were there to make the planning process
easier.
Latest PCB Assembly Planning Tool Solves the High-Product-Mix Efficiency Challenge
In this paper, we look into the real needs of surface mount manufacturing planning to discover the opportunities that exist to improve optimization and performance through better planning.