All unevenness in acceptance at the warehouse is eliminated by stop limits introduced into the IEM system business logic. The results are zero processing costs, faster turnover and profit growth.
Or ‘feast today and fast tomorrow’ in words of the world lingua franca.
We come across obvious examples of losses as a result of
irregularity in both life and business.
E.g. retail, especially in a 24/7 format. Enormous
waiting lines at rush hour and almost no customers in idle periods. In the former case, the business
loses customers, who prefer to buy somewhere else without losing nerves and time waiting in lines
(even if they’d pay more – that’s why mini-shops and kiosks are so viable),
in the latter – it
loses by maintaining personnel that have nothing to do.
The solution seems to be obvious – even
things out, try to move the inflow of customers from rush hour to idle periods by segmenting the
clientele and then offering special conditions to each stratum.
Occasionally, something is done
in that area (happy hours, etc.), but the level of creativity of our Russian grocery retailers in
the environment, where competition is almost nonexistent, has already been discussed.
Sometimes, the bull-in-a-china-shop approach seems to create lines 24/7
out of nothing. At the same time only half of checkout points is in operation at any given
moment. Well, then one thousand dollars worth of cashiers’ wages are ‘saved’.
In fact, every organization faces losses as a result of irregularities. However, not everybody can see these losses (or consider those irregularities to be losses).
Say taking a cash loan approval in a bank. If for some queer
reason there’s an unexpected influx of customers, and people are waiting for their approval for a
week, instead of the stated 24 hours, then from the bank’s point of view it would seem that no
losses occur – customers are the ones losing their time.
However, since the retail credit market
is still competitive, a customer would most likely prefer to borrow from a bank next door – maybe
the interest rate will be a percentage point higher, but the long-awaited fridge would be available
right away.
Meanwhile, the personnel of the first bank is running ragged (although,
the labor efficiency is ridiculous – 90% of operations are Muda, i.e. work with zero value, but
it’s a topic for a separate case), people are waiting and cursing both in lines and on
Internet forums and in social networks.
The bank’s image is deteriorating, the management takes
notice and makes a landmark decision to expand the business – i.e. to hire additional staff and open
additional offices.
Naturally, when all freshmen are hired and trained and offices are opened,
the market and economic situation will have changed several times, and the accumulated negative
impression will have a cumulative effect. At the same time competitor banks won’t be so eager to
share their clientele.
In the end, the personnel of Bank One (the one that didn’t
consider waste of customers’ time to be the waste of their own) will play Wordgame and Minesweeper,
the rent for new empty offices will be paid in vain, and the profitability of the business will be
dropping.
In pursuit to bring in more customers, the bank management will explicitly or
inexplicitly lower interest rates (or advertise more, or promise giveaways – simply said, spend
more), which, in competitive market conditions (like in that joke about cowboys – ‘In the end, they
both ate lots of shit for free’), against the background of a possible
growth of turnover, will once again lead to diminishing profits.
For never was a story of more
woe
than this of Mura and my profits, oh.
How should it have been done?
Constant monitoring the level of
the service and clients’ satisfaction, non-stop optimization of business processes in the PDCA
cycle, increasing labour productivity and alike managing routine would have been the right things to
do. These things are described in all basic business books. Once it had been done the clients would
be pleased, the sales would boom and the profit would multiply.
We’re absolutely sure, that our
readers can give multiple examples from their own company’s experience.
So, what’s the drift off all this?
The drift is that Mura may arise in any business process, which might have nothing to do
with outside customer service.
E.g. in Ulmart, due to a rapid turnover increase, a similar
situation had come about in getting supplies.
Sales were growing, purchasing was growing
likewise; however, neither the technology, nor the rhythm of getting supplies changed.
It’s clear
that if the weekly turnover of an item increased, let’s say, three times, then its weekly purchasing
amount had to be exactly three times higher. However, the warehouse space and quantity of employees
– in other words, the warehouse capacity – remained about the same.
As a result, they were in
that very state of “feast today and fast tomorrow". One week the warehouse was buried under a wave
of shipments, suppliers’ trucks waited for half a day or more to be unloaded, products stayed at
in-checker’s for several days before becoming available for sale (and that’s direct losses – the
suppliers’ credit term starts with the delivery date), warehouse personnel worked 14 hours a day –
their overtime being paid accordingly. There were gaps in stock – in-checkers were up to their ears
in work, but from the buyers’ point of view the products were in stock, they only needed to be
placed in property and put on sale.
However, they couldn’t be sold. Gaps in stock meant a huge
shortage of sales (absence of a 100-dollar processor – a 1000-dollar computer couldn’t be sold). An
unsteady rhythm of deliveries led to payments peaking on certain dates. Against the background of
similar average daily sales, this resulted in cash gaps that were covered by raising costly external
resources.
Overall, this meant chaos and lost profits.
Or even direct losses.
The solution was obvious – to even out supplies.
Right.
But how? Timeconsuming convincing of buyers to buy less and more
frequently, to coordinate the deliveries schedule with the warehouse, to arrange with suppliers that
trucks be sent by the hour, turned out to be completely useless. Their consciousness lasted for
about a couple of days, and then it all started all over again. And really, what did they care?
Their
business was buying the right quantity at the right price. The more you bought at once, the simpler
it was – fewer delivery notes to be entered and less paperwork to be done. And it was easier to get
a discount with a large quantity bought at once. In short, ‘dats none of our business’. Unloading
and accepting – that’s the warehouse work, let them deal with that.
So, it didn’t work.
Then they had to apply a high efficiency
‘understand-maker’.
A warehouse capacity schedule was implemented in the
e-Trade. A maximum volume of products, that the warehouse guaranteed would be processed in the
standard operating mode, was specified for every day. The volume was set in three dimensions: the
volume proper in cubic meters, the total cost of goods, and the integral labor intensity ratio
(every stock item was given a corresponding labor intensity coefficient).
A buyer was no longer
able to create a receipts note for a scheduled delivery (receipts notes are entered into the system
when the order is being approved and not when the goods are delivered to the warehouse – that’s
important), if it resulted in exceeding the daily limit of the warehouse capacity in at least one of
the dimensions.
The warehouse, in turn, turned away trucks of those suppliers, whose products
didn’t have receipts notes entered into the system on that day.
It took no more than a week to
overcome whining and wailing, usual in such cases, and to adjust coefficients and planned
values.
Then:
- Fluctuation of amounts of weekly accepted goods decreased from 400% to 30%. Over 10 times.
- consequently, there were no more rush jobs; additional payroll costs as a result of the warehouse personnel overtime decreased almost to zero;
- the total goods acceptance speed increased by no less than 10%;
- the quality of the acceptance business process increased dramatically: the number of so called ‘problem’ acceptances (i.e. where the actual delivery differed from the approved, or where interference from the buyers or the accounting department was required to re-approve prices, product lists or documents) decreased three times;
- the total company stock turnover increased by 17% – against the background of the rising volume of sales trend;
- cash gaps when financing supplies disappeared altogether.
And as usual – additional bonuses.
E.g. when creating the
warehouse capacity schedule, we had to relate the company’s sales plans and tasks for hiring and
training of personnel with plans for increase of warehouse space demand. The so called pro active actions.
Compare with re active
actions of the bank from the example in the beginning.
Well, remember any Mura from your own practice?