The Leanest Lean you have ever Seen -
how APS can get you to 95% Fat Free Manufacturing
Lean manufacturing is currently one of the buzz words in industry and quite
rightly so. Most companies are under pressure to produce more products in
shorter delivery times, without visibility of future demand and with fewer
inventories. That’s quite a feat to achieve. The question always arises as to
whether there is a place for IT in lean manufacturing initiatives
Lean manufacturing represents a cultural change at all levels of a company. Its
prime objective is to eliminate waste, whatever form that takes. The most
obvious examples in the production area might be excess materials in storage,
work-in process, and finished product waiting for buyers, but it can also be
unnecessary movement of staff and many other processes that do not ‘add value’
to finished items. The objective is to deliver orders on-time with minimum
inventory with the shortest lead time and highest possible utilisation of
resources adding value
Most lean initiatives start with a process called Value Stream Mapping. This
really is a formal way of analysing how we produce things and identifying tasks
or areas where no value-add takes place. This is part of what we used to do a
decade or more ago but we called it Business Process Reengineering. The process
then moves onto what is termed ‘lean thinking’. This is about looking at average
production rates for each product (Takt Time), load levelling (Heijunka) and
process redesign to attack the waste problem.
Process redesign will often use techniques such as Kanban to provide an easily
understandable and visual method of controlling the movement of materials and
controlled by demand order pull rather than what has been called MRP push. This
type of production control is sometimes referred to as a Visual Production
System or VPC.
Many consultants see VPC and central to lean initiatives but, in reality, it is
just one step along the road to the ultimate lean environment which is Make (or
Build) to Order or MTO. Why is this? The ultimate test of how lean you are is to
ask the question – if you stopped accepting orders today and then waited until
the factory stopped how much inventory would you have left? If it is none then
you are truly in a MTO environment but if you relied on Kanban systems, only
final assembly or dispatch are MTO. All upstream processes are Make to Stock.
Kanbans are simply a better and more visual way of controlling inventory. It’s
not the leanest of lean and, while demand is pretty stable they work very well,
but they are less well able to deal with variable demand.
To understand why we have reached this situation we must understand the past.
Before MRP, Materials Requirements Planning, we had EBQ or Economic Batch
Quantity. This used a minimum batch size in order to try and increase the
value-add time (changeover time between batches being non value-add) or purchase
in quantities that provided lower costs per item from our suppliers (they liked
big batches too!). MRP software was introduced to provide a way of synchronising
the manufacture and purchase of parts based on lead times for each based on
aggregated dependent demand but still used EBQ that created inventory. VPC
reduces this inventory so that the EBQ is one Kanban full. Even if a Kanban is
one part, we are still in effect making to stock.
So how can we get better? APS represents the ultimate step to lean
manufacturing. If you have MRP then get the system to make to order and turn off
the make to stock features (if you can). This will generate a batch for each
order you have and at each level of the Bill of Materials. The APS software can
perform the dynamic aggregation of batches to minimise changeover times by
sequencing these smaller batches in a way that they become the ‘big batch’ we
want at critical process steps where resource throughput is a key element of
productivity and efficiency. Often there is a trade-off between minimising
changeover time and delivery performance and a ‘what if’ tool to see the impact
of dynamic aggregation is essential to making the right decisions.
The following APS rule implemented in a food processing company illustrates this
well. It has been simplified to a single process line but in essence the company
wanted to maximise resource utilisation (which to them meant minimising
changeover time) but ensure all delivery dates were met.
The first ‘pass’ of the rule scheduled the orders onto the process line in a
preferred sequence. In the illustration Packing Line 1 has had number of batches
sequenced yellow – light blue – dark blue – orange. The letter on each batch is
the Due Date, M being Monday, T for Tuesday and W for Wednesday.

In this case we have an orange order which will be completed on Tuesday which
has a Due date on Monday. The rule identifies this situation and looks for a
batch which has the greatest time between completion and due date. In this case
the third yellow batch due for delivery on Wednesday is found.
The next pass of the rule removes the yellow Wednesday Order, shuffles up the
others (referred to here as schedule repair) and puts the yellow order on the
end of the schedule.

In this case process is repeated because we still have still have orange Monday order late so the yellow Tuesday order is reallocated in the sequence.

The sequence that minimises changeovers while making all due dates has now been
obtained.
Here then is a good example of how APS software has helped to sequence batches
to minimise non-value add time, in this case changeover time, while making sure
we deliver all the product on time to our customers.
In summary then, APS and Lean initiatives are complementary. Value Stream
Mapping is used to identify issues to tackle, VPC in the form of Kanbans reduce
inventory but do not eliminate it. APS provides a decision support tool to the
planner to help eliminate non-value added activities and get deliveries on time.
This brings into focus another issue on Kanbans or other forms of Visual
Production Control devolves scheduling decisions to the shop floor whereas APS
empowers the planner to make the scheduling decisions which are then passed onto
the shop floor to execute. Is this a good idea?
If you use VPC scheduling decisions are based on empty Kanbans. The emptying of
a Kanban triggers the filling of it by operators. However they are working in
isolation. They have no other visibility of other processes, not late arriving
orders, nor do they have knowledge of key performance indicators (KPIs) such as
minimising late deliveries, minimising production costs and so on. Variations in
demand will cause problems that the operator can not be aware of.
If an APS tool is used scheduling decisions such as changes in priorities for
customers are based on company wide KPIs and the planner has the whole picture
with which to make the trade offs that are bound to be required. Variations in
demand are handled more easily and the shop floor has a single KPI – schedule
adherence.
A good example of where complete elimination of work in progress and finished
stock is in the food processing industry where freshness of raw materials and
shelf life of finished product is a real worry. They are in the forefront of
planner empowerment and many other sectors can learn from their experience.
They have:-
• Short shelf life products
• Short shelf life materials (including packaging)
• Can have delivery lead times less than the manufacturing lead time
• Have a highly variable demand (due to weather and promotional activities)
• Are affected by severe hygiene requirements
• Have alternative recipes
• Have very demanding customers (particularly the large multiples where shorting
is a big issue)
• Have flexible but variable labour
In this industry VPC is almost unknown. The status of the planner is very high
and in many companies APS has become a key decision support tool in making the
company responsive, efficient and profitable. In these companies a single KPI,
schedule adherence is all that is required at shop floor level and supervisors
can focus on meeting this rather than dealing with a thousand and one other
issues.