The Pizza Problem
I love Pizza and frequently order
from a shop that guarantees to deliver a Pizza at my doorstep within 30 minutes
from placing the order. I always wondered what it takes for them to receive an
order, prepare a Pizza, get it packed with sides, travel to the destination
locality, search for the correct house and then ring the bell – all within 30
minutes – every single time.
Usually it takes around 12-14
minutes to prepare a Pizza and they cannot cut short that time. Packing, billing
etc. will take its own 2-3 minutes as well and then the delivery guy has to
travel a certain distance which s/he cannot fly and cover (I stay in Bangalore
and the traffic here is a maddening). So what are they doing differently for
making the timely deliveries?
One fine day I happened to visit
their store and peeped into their back room. There was a map of my area in a
frame with the glass-top and on the glass they had drawn straight lines something
like this –
It struck to my mind that their problem is similar (if not the same) to the one in a typical warehouse, i.e. to fulfill an order quickly. And for a similar problem why can’t we have a similar solution? Why can't we too 'Divide and Rule'? –
Warehouse Partitioning
What if we partition the Warehouse Storage locations into zones and assign those zones to individual pickers? Take the example of a Warehouse which is 10,000 sq. ft., has roughly around 4000 storage locations and around 8 pickers cover those 4000 locations. Now it is impossible for 8 pickers to know what is where in 4000 locations. But it is very much possible for 1 picker to know what is where in his quota of 500 locations. This does not mean that the picker will have to know exactly which box contains what, but he can have a rough idea in his mind that the items in his zone are in so and so order, the smaller SKUs are kept here and next to them are the fragile ones… and so on.
This will solve two problems –
first being the quickness in identifying an item, which can be a lot quicker
than earlier when the picker was dependent on the system to guide him. It is
like searching for a house in a neighborhood with the help of GPS (which more
often than not will take you to the correct house) Vs. searching for a house in
your own neighborhood (to which you are well versed of and you do not need a
GPS). Obviously you will find the house (read location) faster when it is in
your own neighborhood.
Secondly, one of the major pain
points for the workforce in a warehouse is that they have to walk a lot. I read
an interview of a Picker who worked in a large Amazon Warehouse that he had to walk
over 30 miles a day (within the warehouse off course). This might be a one off case but we all know that a pickers typically has to walk a LOT. So if we go for ‘Warehouse
partitioning’ approach, the distance travelled by the Pickers can be reduced
drastically as well. Which in turn will keep them happy and less tired, which
in turn will add to more productivity for the Warehouse.
There can be some challenges with
this approach like what if a picker who is familiar from his zone is
unavailable (then the business will run as it does today, depending on the systems available today – big deal) OR the
picking traffic for one zone is more than the other (that is why the
partitioning has to be done more sensibly in our case and we cannot just put
squares like that in case of the Pizza Store) OR there can be some other
similar problems, but with due diligence (I believe) those problems can certainly be
tackled I believe.
There can be an argument against
this approach saying that we are going back to old / manual ways. Well first of
all, not everything is bad with ‘old ways’. Secondly, the suggested approach
will be a hybrid between the old and the new ways of doing the job!!!
Like the Article? Do comment below and share on FB, Twitter, LinkedIn.
Like the Article? Do comment below and share on FB, Twitter, LinkedIn.
