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Breakthrough Improvement in the Newspaper Industry: Lean Six Sigma
Case Study of Reducing Turnaround to Improve Advertiser Revenues |
By
Niraj Goyal and
Parvez Vandrewala
Background
Newspaper companies have a unique supply chain – an
external customer is pulling at either end of the
chain. The chain begins with the “Advertiser”
and ends at the “Reader”. The former is the
source of the bulk of the revenues and demands the
facility to book an ad as late as possible. The
latter provides the raison d’etre for the advertiser
to advertise and demands the paper at a fixed time
with the “latest news”. There are therefore two
parallel legs to the supply chain – from ad to
reader and from event to reader.
Processors working in both the legs are
therefore under tremendous pressure to shorten their
cycle times. The work described in this case study
relates to the advertiser to reader leg of the
supply chain and was carried out in a city newspaper
in of India’s large Metros.
The Task
With such a well-defined
CTQ
attribute
the task was clearly set out by the senior
management – reduce the cycle time in the advertiser
to reader
leg of the supply chain by 40% using any method
suitable.
The
advertiser to reader supply chain consists of the
following main links:
Start time of Activity
Advertiser contacts Organisation and gives Ad
…………………….............................. t0
Ad is then booked, scheduled and paginated –
located in the newspaper page
Completed pages are sent to press ………………………………….
..............................t1
Newspaper printed
……………………………………………………................................
t2
Delivered to Distribution centres
……………………………………................................. t3
Delivered to Reader
……………………………………………………...............................
t4
The Phase 1 task was to reduce (t1 – t0) from 2.5
hours to 1.5 hours i.e. 40%.
The Method
The author
chose to use Lean-Six Sigma techniques to achieve
the goal. The challenge was to effectively use the
techniques in a group which had no exposure to them
and was not contemplating any integrated Lean Six
Sigma training.
The Story:
a team consisting of key members in each link of the
segment of the supply chain being considered was
constituted. Weekly team meetings were agreed.
During the first two meetings the basic concepts to
be used were introduced through simple examples and
experiential exercises, case studies and live
examples:
-
Quality is customer Delight
-
Customer needs – product quality, service, delivery
and cost
-
Variation and sigma
-
Structured problem solving steps – the author
favours a seven step method similar to
DMAIC
-
Lean
– value stream mapping, reducing non-value added
work and stages, Batch to flow and demand-pull
processes.
-
Internal Customer
-
Poka Yoke – foolproofing the process
-
Control Charts
Simultaneously preliminary data gathering and
analysis was begun. The goal was achieved using the
seven-step problem solving methodology and the
narrative from this point on follows in that
sequence.
Step 1 Define the problem
1.1 Select the
Theme (CTQ)
Already done
1.2 Define
the Problem
was done using the equation
Problem = Customer Desire – Current
Status
Desired
status Processing time from Ad to Pages
shoot to press 1.5 hours
1.2.1 Define the Metric
What are the start and end points of the Supply
chain being considered? The start time was defined
as the time of receipt of the last ad from the
customer i.e. the time at which the Ad booking desk
closed shop. On closer examination it was found that
there were 3 sources of Ads with different “Desk
Closing Times” which are summarised below:
|
|
Desk Closing |
Page shoot |
Source of Ad
|
Time |
Deadline |
|
Walk in customer |
15:30 |
18:30 |
|
Fax |
16:00 |
18:30 |
|
Agency on line |
16:00 |
18:30 |
The metric was defined as T = (Page shoot time –
Page shoot deadline) measured in minutes. For 99.7%
on time delivery Average+3 sigma of T would have to
be less than zero.
The team contended that since there was a weekly
pattern of incoming load with Tuesdays and Thursdays
being heavy there would always be variability. To
neutralise this point the
7-day
moving average of T
(say
t)
was agreed to be the metric to be used.
1.2.2 Measure
the current state:
the closing time of the desk could not be delayed by
an hour without delaying the despatch of the
newspaper by an equivalent amount. So the current
state was computed by measuring the delay compared
to a notional 5:30 pm despatch time rather than the
actual deadline of 6:30 pm. The first results were
as follows;
Average t = 72 minutes
Ave+3sigma of t = 267
minutes
The
problem was defined: reduce 267 to <0.
Step 2 Analyse the Problem –
Why? Why? Why? Why? Why?
The process stage timings were ascertained from the
group and were as follows:
|
Activity deadlines |
|
|
Ad receiving deadline |
1600 |
|
Dummy "dump" |
1630 |
|
Pagination |
1830 |
The 1600-1630 period was processing the last batch
of ads received. At 16:30 the material was
“paginated” i.e. arranged on the newspaper pages
using a software and given for manual corrections,
finishing to the pagination operator. Clearly to
achieve the objective we would have to reduce the
time of pagination.
To ascertain why pagination took 2 hours the group
responded that there were several reasons, of which
the three major ones cited were – corrections,
delayed receipt of ad material for a booked ad, and
last minute update instructions. It was also
suggested that it might help to release version 1 to
pagination in an incomplete form so that pagination
could start working on it to remove errors etc even
as ads were still coming in and being scheduled.
Accordingly it was agreed to give pre final versions
starting at 1530 instead of 1630. It was decided to
observe the process in detail to find the activities
that were taking time during pagination.
Steps 3- 4
Countermeasure – Test the ideas
|
|
Problems |
Effect |
Root Cause |
Solution |
|
|
Observation 1 |
|
|
|
|
1 |
Missing material removal |
15-30 mins |
Material delayed/not recd |
Feed ads only |
|
|
|
|
Manual ad equivalent |
with materials |
|
|
|
|
|
- IT foolproof |
|
2 |
Error file found after 4:30 |
10 min |
Check in pre dump |
|
|
3 |
Special placement |
10 min |
Give instructions as |
AD Ops SOP |
|
|
instructions not given |
|
received |
Alert system - IT |
|
4 |
Distorted ads in pdf |
15 m |
Correct before feeding |
SOP FD |
|
5 |
Ads inserted post pagination |
20 m |
Ads accepted after deadline |
Enforce deadline |
|
|
completion |
|
|
|
|
|
|
|
|
|
|
|
Total saving possible |
70-85 mins |
|
|
|
|
Time taken |
150 mins |
|
|
It was evident that pagination was being done
several times to correct errors made upstream, or
ads being accepted and inserted after the deadline.
Root cause/countermeasure analysis yielded simple
operating SOPs often fool proofed with IT
enhancements. Since all problems do not occur on the
same day the process was observed 4 times. During
each cycle the countermeasures suggested for problem
noticed earlier were tested and “ground in” until
they became practices and new problems that consumed
time at the pagination stage or caused repeat cycles
were isolated and killed as enumerated in the table
below:
|
|
Problems |
Effect |
Root Cause |
Solution |
|
|
Observation 2 |
|
|
|
|
1 |
Repeat errors 2,4,5 |
|
|
Grind practices in |
|
2 |
Scan of material delayed |
45 mins |
Agree scan Turnaround |
|
|
3 |
PDF conversion problem |
15 mins |
Programming problem |
IT to resolve |
|
4 |
Zip error file not scanned |
|
|
Zip not required |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Observation 3 |
|
|
|
|
5 |
System failure at peak time |
75 mins |
|
Use back up system |
|
|
|
|
|
|
|
|
Observation 4 |
|
|
|
|
6 |
Add on section integration |
|
Start integration in |
SOP |
|
|
delayed |
25 mins |
pre dumps |
|
Step
5 Check the results
The
improvements were tracked regularly and the results
began to show rapid improvements. The team started
to measure itself against the self imposed deadline
of 5:30 pm instead of 6:30 pm.
In 9 weeks of continuous implementation of the
countermeasures the following improvements were
clocked in the delay from 5:30 with the
fool-proofing IT software modifications still not
100% in place.

The average time of processing had been reduced by
60 minutes – however the 99.7% on time delivery
parameter (average + 3 s) though much improved was
still unacceptable.
The
team’s mindset had however changed – from “This is
not possible” to “We can do it” and they clearly
recognised that with continuing improvement effort
and the IT changes implemented the target was
achievable.
Step 6 Standardise the
control
SOPs were prepared and a control chart was
introduced to track and control progress on a
regular basis and it was heartening to see the
progress continued by the team as shown below:

Step 7 QI story
The Quality Improvement Story was prepared and
presented to management.
Grinding the Practices
In the authors experience sustaining the change is
often much more difficult than achieving it. The
approach recommended is continuous improvement –
“If you do not improve, you deteriorate”.
Towards achieving this a line team was set up to
plot the control chart every day and analyse the
root cause of any deterioration, however small and
implement a countermeasure to kill it.
This practice resulted in further improvements and
in the next 6 weeks the performance improved further
as Indicated below:

The
Ave+3 sigma of delay had been brought to 12 minutes
early from 267 minutes delayed. The deadline of
receiving ads from the advertisers was now relaxed
to 5:00 pm instead of 4:00 pm. This move is expected
to yield additional revenues of Rs 2-3 million per
year.
The dramatic improvement achieved – both in reducing
average and variability of delay - is highlighted by
the following graph where 0 means on time, and > 0
means delay:

Conclusion
At the end of the project the team was asked what
they had learned. The list reads like a key points
summary from Lean – six sigma:
-
Distributing work
- Keep no backlog
- Teamwork
- Making work flow
- Pre-preparation
- Observing Time deadlines
- Preventing errors
-
Doing it right the first time
Encouraged
by this project the company now plans to reduce
turnaround in the printing and delivery segments of
the supply chain.
About the Authors:
Niraj Goyal
has 25 years of experience with multinational
companies in various operating roles, among them
operations director of Cadbury India Ltd., where he
was among the leading implementers of the quality
movement. He is the founder of Cynergy Creators
Private Ltd. Mr. Goyal consults in India, the United
States and Southeast Asia with manufacturing, IT,
media and financial services industries. He
specializes in training and facilitating the
implementation of the techniques of Six Sigma-Lean
and TQM. Several other real life case studies can be
accessed on his website
www.nirajgoyal,cjb.net
Mr. Goyal can be reached at
nirajgoyal@vsnl.in
Parvez Vandrewala
heads the classifieds advertisement business, and
the Sales Support function, which includes
Advertising Operations where this project was
implemented. He has 17-years experience with a
Multinational FMCG company, Hindustan Lever Ltd, in
various Sales, Sales operations and CRM assignments.
He can be reached at
parvezv@gmail.com
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