Yellow Belt Glossary Flashcards
Andon
A visual management tool that highlights the status of operations
in an area at a single glance and that signals whenever an
abnormality occurs.
Batch-and-Queue
A mass production approach to operations in which large lots
(batches) of items are processed and moved to the next process
—regardless of whether they are actually needed—where they
wait in a line (a queue).
Cell
The location of processing steps for a product immediately adjacent
to each other so that parts, documents, etc., can be processed in
very nearly continuous flow, either one at a time or in small batch
sizes that are maintained through the complete sequence of
processing steps.
A U shape (shown below) is common because it minimizes walking
distance and allows different combinations of work tasks for
operators. This is an important consideration in lean production
because the number of operators in a cell will change with changes
in demand. A U shape also facilitates performance of the first and
last steps in the process by the same operator, which is helpful in
maintaining work pace and smooth flow.
Many companies use the terms cell and line interchangeably.
There is a school of thought that material should flow through cells
in a right-to-left direction relative to the operator, because more
people are right handed and it is more efficient and natural to work
from right to left. However, many efficient processes flow to the left
and many flow to the right. Simply evaluate on a case-by-case
basis whether a particular direction makes more sense.
Continuous Flow
Producing and moving one item at a time (or a small and consistent
batch of items) through a series of processing steps as continuously
as possible, with each step making just what is requested by the
next step.
Continuous flow can be achieved in a number of ways, ranging from
moving assembly lines to manual cells. It also is called one-piece
flow, single-piece flow, and make one, move one.
Cycle Time
The time required to produce a part or complete a process, as timed
by actual measurement.
Cycle Time—Related Terms Involving Time
Effective Machine Cycle Time
Machine cycle time plus load and unload time, plus the result of
dividing changeover time by the number of pieces between changeovers.
For example, if a machine has a cycle time of 20 seconds, plus
a combined load and unload time of 30 seconds, and a changeover
time of 30 seconds divided by a minimum batch size of 30, the
Effective Machine Cycle Time is 20+30+(30/30) or 1 = 51 seconds.
Machine Cycle Time
The time a machine requires to complete all of its operations
on one piece.
Downtime
Production time lost due to planned or unplanned stoppages.
Planned downtime includes scheduled stoppages for activities such
as beginning-of-the-shift production meetings, changeovers to
produce other products, and scheduled maintenance. Unplanned
downtime includes stoppages for breakdowns, machine adjustments,
materials shortages, and absenteeism.
Efficiency
Meeting exact customer requirements with the minimum amount
of resources.
Apparent Efficiency vs. True Efficiency
Taiichi Ohno illustrated the common confusion between apparent
efficiency and true efficiency with an example of 10 people producing
100 units daily. If improvements to the process boost output to 120
units daily, there is an apparent 20 percent gain in efficiency. But
this is true only if demand also increases by 20 percent. If demand
remains stable at 100 the only way to increase the efficiency of the
process is to figure out how to produce the same number of units
with less effort and capital. (Ohno 1988, p. 61.)
First In, First Out (FIFO)
The principle and practice of maintaining precise production and
conveyance sequence by ensuring that the first part to enter a
process or storage location is also the first part to exit. (This ensures
that stored parts do not become obsolete and that quality problems
are not buried in inventory.) FIFO is a necessary condition for pull
system implementation.
The FIFO sequence often is maintained by a painted lane or physical
channel that holds a certain amount of inventory. The supplying
process fills the lane from the upstream end while the customer
process withdraws from the downstream end. If the lane fills up, the
supplying process must stop producing until the customer consumes
some of the inventory. This way the FIFO lane can prevent the
supplying process from overproducing even though the supplying
process is not linked to the consuming process by continuous flow
or a supermarket.
FIFO is one way to regulate a pull system between two decoupled
processes when it is not practical to maintain an inventory of all
possible part variations in a supermarket because the parts are
one-of-a-kind, have short shelf lives, or are very expensive but
required infrequently. In this application, the removal of the one
part in a FIFO lane by the consuming process automatically triggers
the production of one additional part by the supplying process.
Five Whys
The practice of asking why repeatedly whenever a problem is
encountered in order to get beyond the obvious symptoms to
discover the root cause.
For instance, Taiichi Ohno gives this example about a machine
that stopped working (Ohno 1988, p. 17):
1. Why did the machine stop?
There was an overload and the fuse blew.
2. Why was there an overload?
The bearing was not sufficiently lubricated.
3. Why was it not lubricated?
The lubrication pump was not pumping sufficiently.
4. Why was it not pumping sufficiently?
The shaft of the pump was worn and rattling.
5. Why was the shaft worn out?
There was no strainer attached and metal scraps got in.
Without repeatedly asking why, managers would simply replace
the fuse or pump and the failure would recur. The specific number
five is not the point. Rather it is to keep asking until the root cause
is reached and eliminated.
Error-Proofing or Poka-Yoke
Methods that help operators avoid mistakes in their work caused
by choosing the wrong part, leaving out a part, installing a part
backwards, etc. Also called mistake-proofing, poka-yoke (errorproofing)
and baka-yoke (fool-proofing).
Common examples of error-proofing include:
• Product designs with physical shapes that make it impossible
to install parts in any but the correct orientation.
• Photocells above parts containers to prevent a product from
moving to the next stage if the operator’s hands have not
broken the light to obtain necessary parts.
Gemba
The Japanese term for “actual place,” often used for the shop
floor or any place where value-creating work actually occurs; also
spelled genba.
The term often is used to stress that real improvement requires a
shop-floor focus based on direct observation of current conditions
where work is done. For example, standardized work for a
machine operator cannot be written at a desk in the engineering
office, but must be defined and revised on the gemba.
Inventory
Materials (and information) present along a value stream between
processing steps.
Physical inventories usually are categorized by position in the value
stream and by purpose. Raw materials, work-in-process, and finished
goods are terms used to describe the position of the inventory within
the production process. Buffer stocks, safety stocks, and shipping
stocks are terms used to describe the purpose of the inventory.
Since inventory always has both a position and a purpose (and
some inventories have more than one purpose) the same items
may be, for example, finished goods and buffer stocks. Similarly,
the same items may be raw materials and safety stocks. And some
items even may be finished goods, buffer stocks, and safety stocks
(particularly if the value stream between raw materials and finished
goods is short).
The size of the buffer and safety inventory levels will depend on
the amplitude of the variations in downstream demand (creating
the need for buffer stock) and the capability of the upstream
process (creating the need for safety stock). Good lean practice is
to determine the inventory for a process and to continually reduce
it when possible, but only after reducing downstream variability
and increasing upstream capability. Lowering inventory without
addressing variability or capability will only disappoint the customer
as the process fails to deliver needed products on time.
To avoid confusion, it is important to define each type of inventory
carefully.
Inventory Turns
A measure of how quickly materials are moving through a facility
or through an entire value stream, calculated by dividing some
measure of cost of goods by the amount of inventory on hand.
Probably the most common method of calculating inventory turns
is to use the annual cost of goods sold (before adding overhead for
selling and administrative costs) as the numerator divided by the
average inventories on hand during the year. Thus:
Annual cost of goods sold
Inventory turns =
Average value of inventories during the year
Using the cost of goods rather than sales revenues removes one
source of variation unrelated to the performance of the production
system—fluctuations in selling prices due to market conditions.
Using an annual average of inventories rather than an end-ofthe-
year figure removes another source of variation—an artificial
drop in inventories at the end of the year as managers try to show
good numbers.
Inventory turns can be calculated for material flows through value
streams of any length. However, in making comparisons remember
that turns will decline with the length of the value stream, even if
performance is equally “lean” all along the value stream. For example,
a plant performing only assembly may have turns of 100 or more
but when the parts plants supplying the assembly plant are added
to the calculation, turns often will fall to 12 or fewer. And if materials
are included all the way back to their initial conversion—steel, glass,
resins, etc.—turns often will fall to four or fewer. This is because the
cost of goods sold at the most downstream step doesn’t change but
the amount of materials in inventories grows steadily as we add
more and more facilities to our calculation.
Inventory turns are a great measure of a lean transformation if the
focus is shifted from the absolute number of turns at each facility
or in the entire value stream to the rate of increase in turns. Indeed,
if turns are calculated accurately using annualized averages of
inventories, they can be “the one statistic that can’t lie.”
Jidoka
Providing machines and operators the ability to detect when
an abnormal condition has occurred and immediately stop work.
This enables operations to build in quality at each process and
to separate men and machines for more efficient work. Jidoka
is one of the two pillars of the Toyota Production System along
with just-in-time.
Jidoka highlights the causes of problems because work stops
immediately when a problem first occurs. This leads to improvements
in the processes that build in quality by eliminating the root causes
of defects.
Jidoka sometimes is called autonomation, meaning automation
with human intelligence. This is because it gives equipment the
ability to distinguish good parts from bad autonomously, without
being monitored by an operator. This eliminates the need for
operators to continuously watch machines and leads in turn to
large productivity gains because one operator can handle several
machines, often termed multiprocess handling.
The concept of jidoka originated in the early 1900s when Sakichi
Toyoda, founder of the Toyota Group, invented a textile loom that
stopped automatically when any thread broke. Previously, if a thread
broke the loom would churn out mounds of defective fabric, so each
machine needed to be watched by an operator. Toyoda’s innovation
let one operator control many machines. In Japanese, jidoka is a
Toyota-created word pronounced exactly the same (and written in
kanji almost the same) as the Japanese word for automation, but
with the added connotations of humanistic and creating value.
Just-in-Time (JIT)
A system of production that makes and delivers just what is needed,
just when it is needed, and just in the amount needed. JIT and jidoka
are the two pillars of the Toyota Production System. JIT relies on
heijunka as a foundation and is comprised of three operating
elements: the pull system, takt time, and continuous flow.
JIT aims for the total elimination of all waste to achieve the best
possible quality, lowest possible cost and use of resources, and the
shortest possible production and delivery lead times. Although simple
in principle, JIT demands discipline for effective implementation.
The idea for JIT is credited to Kiichiro Toyoda, the founder of Toyota
Motor Corporation, during the 1930s. As manager of the machine
shop at Toyota’s main plant, Taiichi Ohno said his first steps toward
achieving JIT in practice came in 1949–50. (Ohno 1988, p. 31.)