April 2007
Contents
General Notes
Region 7 Meet & Greet
Region VP Message
Kaz IE Notes
General Notes
-
IIE National Conference in Nashville on
May 19 – 23rd:
Pre-Registration discount ends on April
6th (http://www.iienet2.org/annual2/default.aspx)
-
Chapter Leadership: Chapter Activity
Reports (CAR) and Strategic Plans are
past due. If you have not done them,
please do so ASAP. Tax filling is due
on June 15th for the FY from
4/1/06 – 3/31/07.
-
Region 7 WebEx presentation planned for
Friday April 27th at Noon PST
with focus on Value Stream Mapping
overview. Once confirmed, we will send
out a general invite.
-
Check out our pilot Region 7 Web page at
http://www.iienet2.org/Chapter/region7/
-
Request for 2008 Region Student
Conference Host submissions due April 27th
to
mchogan@gmail.com and
brood728@yahoo.com
Region VII Meet and Greet in
Nashville
Date:
May 20th
Location: Room
# 208 of the Nashville Convention Center
Time:
Between 2:00
and 6:00
We were able to secure a room in Nashville
for a general meet and greet with others in
our Region. If you are a Member at Large,
Student or Sr. Chapter member, feel free to
set up meetings with your buddies during
this time space. As the date comes closer,
Dan, Kyle, Michael, Sarah and I will send an
update on when we will be able to lock in
time to meet up with you. This is a great
opportunity to gather freely with your peers
and put a face to the email.
Message from the Region Vice President
Good
day IIE partners in Region 7! This is my
first Region wide e-newsletter and is
something which I wanted to do for a few
months. For those who do not know, our
Region is the largest in the US with over
2,600 members covering 8 Sr. Chapters making
up Aprox. 900 members, 15 accredited
universities with aprox. 500 student members
and aprox. 1,300 MAL of which 900 belong to
the Boeing Corporation. Your peers span
from Montana to New Mexico to Hawaii to
Alaska.
So far this year we have had a leadership
conference call, a Region wide Web-Cast and
have hosted a Regional Student Conference at
Cal Poly Pomona in our attempts to bring
added value to our Region membership. From
the responses, many of you thought it was a
step in the right direction in establishing
a connection between us.
In May, IIE will host the annual national
conference in Nashville. Many of your peers
will attend and I encourage you to consider
making the trip to this international
conference which brings IE’s together. If
you are an up-coming chapter leader, I would
encourage you to attend the Volunteer
Leadership Training Workshop (VOLT) which is
held on May 19th and 20th.
The VOLT is a session dedicated to chapter
leadership focused on providing the chapters
the tools and topics to help them succeed.
http://www.iienet2.org/annual2/details.aspx?id=7756
I also wanted to acknowledge a few of our
IIE peers.
-
San Diego Sr. Chapter received the
Silver award from IIE HQ for their great
continued efforts with their chapter.
Congratulations!
-
Cal Poly Pomona recently hosted the
Region 7 Student IIE Conference in early
March. Over 120 participated in the
three day event which was great, but
what was exceptional was the
participation from a variety of
universities. In attendance included
students and faculty from Oregon State,
Cal State San Jose, Cal Poly San Louis
Obispo, Cal Poly Pomona (the host),
University of San Diego, University of
Southern California, Arizona State
University, University of Arizona and
New Mexico State University. As part of
the conference, several of the schools
presented papers in the paper
competition with Cal Poly Pomona earning
top marks to represent our Region to the
National paper competition in Nashville.
Lastly, if you have an IE topic which would
like to present to your peers in our Region,
we would welcome you sending us a note. Our
goal is to create a series of Web casts for
the general membership in our Region on
topics of interest. Our first web cast was
on A3 reporting and our next web cast is
planned for Value Stream Mapping on Friday
April 27th at Noon PST. Other
topics on the table include; hand held
data collection techniques, presentation
skills and work management program
overviews.
Looking forward to seeing you in Nashville.
Kaz
Kaz IE Note: Scatter Plots and Explaining
Data
To add a little extra value to our
newsletter for the general membership, I
wanted to create a “Kaz IE Note” section
which is focused on topics which came across
my IE desk and have found interesting.
In this edition, I wanted to talk about the
use of Scatter Plots and how to frame
complex data.
Background:
An internal client came to use with a
request to help them understand over time
(OT) within their group. They were at a
higher level of OT than planned but were
challenged to understand how to manage it
and did not want to mandate “no OT without
management approval”. OT data was
challenging to retrieve by employee and more
challenging to drill into a per instance
basis. Reports that were available only
drove down to a weekly level by employee and
was challenging at best to understand.
Approach:
Review OT data over the fiscal year and
break it into manageable buckets which the
operating front line managers could
understand and act on. Summarize the data
at an executive level to highlight key areas
of focus. Bucket the OT in a manner which
allowed management to act on or understand.
Methodology:
Pull all OT data by employee and by week
into a database. Group the data by working
craft type, front line manager and senior
manager teams. Consolidate each employee
into two elements; number of OT weeks and
average number of weekly OT hours based on
the fiscal year. Lay data in scatter plots
to identify four key groupings.
-
Low Frequency, Low Hours: This is
typically the ‘just happens’ bucket.
The majority of the occurrences that are
part of business due to typical
operational issues.
-
Low Frequency, High Hours: Typically
due to special project work driving
additional days of OT to get the task
completed on schedule or an urgent
corrective issue calling for ‘all hands
on deck’. At times found to be due to
coverage of other employees.
-
High Frequency, High Hours: You will
find that your operating managers can
probably identify this group to an
employee name at a glance. These are
the ‘go to’ employees whom front line
managers will select for coverage (e.g.
vacation, sick, project work, etc.)
because they typically (a) know they can
do the task well, (b) are model
employees and (c) are willing to take on
OT.
-
High Frequency, Low Hours: This is the
group to focus on. These employees pull
in an hour or two a day in OT, nearly
every day of every week. They also seem
to fall under the radar if reporting is
challenged to identify them.
Discovery:
By displaying the data on a scatter plot,
the four key groupings were easily
identified and our IE was able to clearly
communicate the issue and allow our
operating managers to see options for
solutions. Other ‘typical’ reporting tools
over whelmed the operating managers with to
much data or gave them the same names over
and over again which didn’t allow them to
see the big picture. In this format,
management and front line managers could
quickly understand the impact of the four
groupings and develop a tactile plan to
address and prioritize the teams without
giving out a blanket statement to stop all
OT without prior approval.
Recommendations and Next Steps:
-
Review staffing levels for the High
Frequency, High Hours group. Employees
who are working the equivalent of one or
two days each week may be an indication
of under staffing.
-
Review individuals at the High
Frequency, Low Hours group. Understand
who these employees are and what is
driving the daily hour or two OT.
Summary:
Presenting complex data in a manner which
can be understood by executive management
and yet usable to a front line manager is a
challenge which many IE’s come across
daily. We found that dusting off a scatter
plot did an excellent job for our IE to
allow constructive conversation around this
particular issue, especially when the IE can
re-create the charts from a single “entire
employee base” level to the individual front
line manager team level. As with all tools
and data, there are multiple ways to display
and communicate the message and for every
conclusion, there can be multiple reasons
and exceptions. But in this case, the data
speaks for itself in a way that everyone
understood and allowed management action to
take place without a mandate which would
likely disrupt the work force and result in
issues which OT was completely required and
justified.
