The Spotlight! 2006 event was held on
Friday, September 15 at the Four Points
Sheraton in Ann Arbor, MI. Seventeen teams of TMI students presented
the results of their summer projects and competed for a total of $30,000
in scholarship awards.
Each team presented its project results to an audience of corporate
representatives, students, alumni and faculty. Judges from
the operations industry evaluated
the projects on the basis of scope, implementation, impact,
overall presentation skills and other criteria to determine
the winners.
TMI congratulates all of the student teams and sponsors for their support
and participation in the 2006 summer projects and the Spotlight! event. We look forward
to working with our sponsors on summer 2007 Team Projects!
Spotlight! 2006 Winners
First Place: Boeing 777 - Wilfredo Durand, Taoufik El Khazzani,
and Vince Giovannetti gave the winning presentation of their
14-week summer project titled "777 Functional
Test Optimization." Each team member was
awarded a $4,500 scholarship.
Second Place: Pfizer, Inc. - Jonathan Gregg and
Samantha Jarema came in second place for their project titled
"Pfizer Clinical Supplies Solid Dose Manufacturing." Each team member was awarded a $3,500
scholarship.
Third Place: Dell, Inc. - Sunit Chauhan, Damon Dance, and Nitin Sharma took third
place with their project titled "Excursion Risk
Mitigation and Customer Experience Enhancement through
Strategic Supply Chain Collaboration." Each TMI team member received a
$2,500 scholarship award.
Honorable Mention: John Deere - Caroline Conway, Jens
Nielsen, and Karen Putterman received an honorable mention
for their project titled "Getting to Global:
Building Export to Russia." Each team member received a
$1,500 scholarship award.
Click on the link(s) above to view the project descriptions
of the winning teams.
2006 Project Teams
Click on the company name below to view the team
project picture!
To view the project descriptions of all seventeen teams, click here to download the Spotlight! 2006 Project Book (PDF).
First Place:
The Boeing Company, 777
"777 Functional Test Optimization"

Student Team:
Wilfredo Durand - MBA/MC
Taoufik El Khazzani - EGP (Master of Science Industrial
and Operations Engineering)
Vince Giovannetti - MBA/MC
Project Liaison/Supervisor:
Tim Thomas - Manager, Airplane Systems Engineering
Project Champion:
John Pricco - Director, 747/767/777 Engineering
Faculty Advisors:
Ted O'Leary - Ross School of Business
Sebastian Fixson - College of Engineering
Following what was an intense downturn, the aerospace
industry is now in the midst of a strong worldwide
recovery of demand for new commercial aircraft, in large
part for their increased fuel economy in light of record
fuel prices. These elevated fuel prices have squeezed
airline profits and have dictated extremely competitive
aircraft pricing as a primary driver in their procurement.
Competition between Boeing and its primary rival, Airbus,
is more intense than ever as both companies struggle to
reduce their prices. Boeing recently reclaimed the
industry's top spot over Airbus, a position Boeing had
relinquished for approximately five years. Key to this
reversal of fortunes has been the success of the 777, a
wide body fuel-efficient aircraft with which Airbus cannot
currently compete. The success of the 777 has prompted
Airbus to launch a revised version of their A350, due to
enter commercial service in 2012.
Boeing has made the strategic decision to capitalize on
current market conditions by decreasing the 777 cycle time
from four days to three. As the final station in the
assembly line prior to aircraft rollout, the functional
test sequence has become a precarious bottleneck which
will hinder cycle time reduction and compromise other Lean
mandates. The TMI team provided Boeing a methodical
approach to reduce functional test flow time from six days
to three by addressing four key aspects of functional
test:
• Critical Path Definition
• Process Variability
• Test Content
• Responsibilities and Interactions of the Organizations
that comprise Functional Test.
Implementation of the team's recommendations will reduce
WIP and eliminate the need for added capacity and labor
costs. Boeing will realize first year savings of $22M,
subsequent annual savings of $4.5M, and a decrease in
working capital of $30.7M. These significant outcomes will
help sustain high margins on the 777 as worldwide demand
remains strong for this aircraft.
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Second Place:
Pfizer, Inc.
"Pfizer Clinical
Supplies Solid Dose Manufacturing"
 Student Team:
Jonathan Gregg - MBA/MC
Samantha Jarema - BSE/MSE Industrial and Operations
Engineering
Project Liaison/Supervisor:
Paul Stuart - Head of Global Clinical Supply Manufacturing
& Packaging
Project Champion:
Gerry Boushelle - Head of Clinical Supply Manufacturing
Operations, Ann Arbor
Faculty Advisors:
Bill Lovejoy - Ross School of Business
Semyon Meerkov - College of Engineering
Pfizer, the world's leading research-based pharmaceutical
firm, has historically invested heavily in the initial
phases (I-III) of research and development, where the
probability of product failure is substantial. However,
due to the increasingly competitive nature of the
industry, Pfizer is moving to a "fail early, fail often"
strategy in which minimal investment is made until a drug
product has progressed further. Pfizer Clinical Supplies
Solid Dose Manufacturing (SDM) supports the discovery and
exploratory phases, I and II, of the solid dose drug
product development with two facility locations: Ann
Arbor, Michigan and Sandwich, England. In order to fully
support the "fail early, fail often" strategy, Ann Arbor
SDM challenged the TMI team to decrease their cycle times,
while simultaneously increasing on-time delivery, both of
which are key concerns in an industry where delaying a
product launch can cost in excess of $600,000 per day.
Upon the TMI team's arrival, SDM's current state was a
"black box". There were processes not standardized,
metrics not collected and ambiguity regarding SDM goals
and the roles and responsibilities of the workers.
Realizing that a culture change was necessary for success,
the team mapped the current state value-stream and defined
and displayed key metrics, creating a focus on
accountability and performance goals. Then, using lean
concepts such as supermarkets and production leveling to
develop strategic process improvements, a future state was
created that will reduce SDM's lead time by 50% and
increase on-time delivery to 85%. Collectively, these
changes will lead to an annual cost savings of $800,000
and additional annual profit of $30M by reducing the time
to market. The successful implementation of several of
their recommendations has facilitated culture change and,
before the team's departure, reduced cycle time by 11%.
To ensure sustainability, the team worked with Pfizer to
establish a global, cross-functional implementation team,
supported by Director and VP level management. This team
is responsible for implementation of the TMI project, and
will drive continuous improvement. It has established
specific goals which have been incorporated into
management and employee performance reviews.
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Third Place:
Dell, Inc.
"Excursion Risk
Mitigation and Customer Experience Enhancement through
Strategic Supply Chain Collaboration"

Student Team:
Sunit Chauhan - MBA (Non-TMI Student)
Damon Dance - MBA/MC
Nitin Sharma - EGP (Master of Engineering in
Manufacturing)
Project Liaison/Supervisor:
Charles Revelle - Manager, World Wide Procurement
Project Champion:
David Brown - Vice President, World Wide Procurement
Faculty Advisors:
Damian Beil - Ross School of Business
Dawn Tilbury - College of Engineering
Dell Inc. is a key player in the global market for
information technology. Dell's competitive advantage lies
not only in its lower cost structure but also its
efficiency. Its core strategy is the direct-to-customer
business model. Dell combines this low cost sales and
distribution model with lean production operations
performing mass customization. As the company continues to
grow its business to reach the target of $80 billion in
revenues by 2008, tracking large amounts of information
and having real-time access to key data points is
extremely critical. In addition, Dell's focus on customer
satisfaction and its increasing global presence requires
an increased velocity throughout the supply chain.
The Dell-TMI project contributed towards the corporate
goal of enhanced customer experience by improving
component level traceability, visibility, and velocity
within the supply chain through collaboration with its
tier-1 and sub-tier suppliers. The team accomplished this
by implementing traceability for high value components
like chipsets and other application specific integrated
circuit (ASIC) chips on printed circuit board assembly
parts such as motherboards and graphics cards. In
collaboration with the Intel-TMI team, the Dell team
developed a concept which could become an industry wide
standard for part level information collection and sharing
among different supply chain partners.
As a part of problem identification process, it was found
that in the past, failures in chipsets and ASIC chips have
caused large field excursions with significant customer
experience and financial implications. The impact was
exacerbated in many instances due to incomplete or
inaccurate traceability information. To address this
problem, the TMI team studied current part marking
technologies such as laser etched 2D barcodes and
alpha-numeric coding. The team then worked with different
technology vendors to evaluate the use of various data
acquisition technologies like Automated Optical Inspection
(AOI), Automated X-ray Inspection (AXI), Multifunction
Pick & Place, Stand Alone Robotic Scanning System and
Electronic Lot Coding. An important goal in the technology
evaluation process was to select a scalable solution that
could be easily implemented for other component families
and product lines. As a proof of concept, three different
pilots were conducted at Equipment Manufacturer (EM)
locations in China. The pilots involved testing the use of
different data acquisition technologies and development of
a real time web-based data tracking system. Based on the
analysis of pilot results, the Dell-TMI team recommended a
phased implementation plan to achieve unit level
traceability and data sharing with supply chain partners.
Finally, a data input form was developed to collect and
consolidate information on past excursions and classify
their financial impact into different cost pools. A
thorough business case analysis was performed to quantify
the impact of the project on future excursions. The
financial model validated the initial hypotheses and
showed that complete implementation of the project will
result in up to 50% reduction in excursion over
containment and a 75% reduction in the total cost of an
excursion. In addition, sharing of traceability and
consumption data with the suppliers would allow them to
optimize their operations leading to a leaner supply chain
and better customer service level.
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Honorable Mention:
John Deere
"Getting to Global:
Building Export to Russia"
 Student Team:
Caroline Conway - Dual MBA and Master of Science, Natural
Resources and Environment
Jens Nielsen - EGL (BSE/MSE Industrial and Operations
Engineering)
Karen Putterman - Dual MBA and Master of Science, Natural
Resources and Environment
Project Liaison/Supervisor:
Thomas Priest - Senior Engineer
Project Champion:
David DeValut - General Manager
Faculty Advisors:
Len Middleton - Ross School of Business
Tassos Perakis - College of Engineering
John Deere is one of the oldest manufacturing companies in
the United States and for much of its history has focused
on the U.S. market. In recent years, the company has
increasingly emphasized international markets to sustain
its growth. Since 2004, Russia has emerged as one of these
markets. As a result, the company opened an assembly
facility in Orenburg, Russia for Air Seeding equipment
(supplied by the North American Air Seeding factory in
Valley City, ND) and established an independent branch
office in Moscow. After two years of operation, the
Russian export business has not met John Deere's financial
goals or matched Deere's North American reputation for
stellar product quality.
The TMI team reviewed the current state of the Russian
export business and identified three areas where immediate
improvements could be made: 1) improving the North
American manufacturing process to minimize missing parts
in container shipments to Russia, 2) providing a local
parts stock in Russia to increase production quality and
service levels, and 3) improving overall cost performance
by identifying and reducing logistics and inventory
holding costs.
The first, and perhaps most significant, issue facing
Russian export is missing parts in container shipments
from the Valley City factory to the Orenburg facility. In
2005, with the best-case product, Orenburg received 55% of
the machines complete. (With the other products, only 4%
of the machines were complete.) In order to address this
problem the team developed assembler training
documentation, an improved labeling and audit system,
shadow boards, and a new specification structure for
export assembly. These improvements were tested on the 3
most complex assembly centers, resulting in 0 missing
parts. The company has since adopted all of the team's
recommendations for this year's build season. In addition,
4 temporary employees have been assigned to rewrite the
specification structure for all exported Air Seeding
products.
The second area was providing a local parts stock in
Russia. In order to protect against human error that may
occur in the assembly process and to ensure that machines
sold in Russia are serviced to Deere standards, the team
secured funding to stock parts at the Orenburg facility
and at the new Moscow parts depot. The team then developed
a safety stock model, and placed an order that will stock
280 part numbers at the Orenburg facility allowing it to
reach a best-case first-pass-yield of 100% and will stock
100% of critical service parts for Air seeding products at
the Moscow parts depot. In addition, the team developed
and supplied the Moscow Branch with a database to manage
future inventory levels.
The final area of focus was identifying and reducing
logistics and inventory costs. The team identified a total
of $209,700 in excess logistics charges for shipments to
Russia and Kazakhstan and $162,000 in avoidable inventory
holding costs. In order to eliminate these costs, the team
built several recommendations into a scheduling model that
will result in immediate downstream savings. The Valley
City factory has adopted this scheduling model for this
year's build season. With the improvements made by the TMI
team, John Deere will be able to take steps toward
building a successful business in Russia and continue the
reputation for superior quality machinery across the
world.
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