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Important
Dates |
Keynote
Speeches |
Special
Sessions |
Author
Instructions |
Paper
Submission |
Workshops |
Registration |
Program
Schedule |
Hotel
& Travel Info |
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Keynote Talks:
1. OLYMPIC ECONOMY, LOGISTICS IN
OLYMPICS, by Jizhong WEI, Senior
Adviser of China Sport Industry Group
| Talk highlights: |
• What Is Olympic Economy? |
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• Influences on Beijing City and China |
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• Planning and Expertise of Logistics for Beijing Olympics |
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• What Kind of Logistics Beijing Olympics Needs? |
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• Volume of Logistics’ Service in Beijing Olympics |
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• Weakness of Logistics Industry in China |
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• More ... |
2. Risk Aversion in Inventory Management,
by Prof. David Simchi-Levi, Massachusetts Institute
of Technology
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Abstract: Traditional inventory
models focus on risk-neutral decision makers, i.e., characterizing
replenishment strategies that maximize expected total profit,
or equivalently, minimize expected total cost over a planning
horizon. In this paper, we propose a framework for incorporating
risk aversion in multi-period inventory models as well as multi-period
models that coordinate inventory and pricing strategies. In
each case, we characterize the optimal policy for various measures
of risk that have been commonly used in the finance literature.
In particular, we show that the structure of the optimal policy
for a decision maker with exponential utility functions is almost
identical to the structure of the optimal risk-neutral inventory
(and pricing) policies. These structural results are extended
to models in which the decision maker has access to a (partially)
complete financial market and can hedge its operational risk
through trading financial securities. Computational results
demonstrate the importance of this approach not only to risk-averse
decision makers, but also to risk-neutral decision makers with
limited information on the demand distribution. |
3. Service Enterprise
Engineering at NSF, by Prof. Suvrajeet Sen,
Program Director, Operations Research, Service Enterprise Engineering,
National Science Foundation, USA
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Abstract: The Service Enterprise
Engineering program at the U.S. National Science Foundation
was started in 2002 in response to growing needs for research
to support the Service Sector. This sector includes research
in a variety of areas including Banking and Finance, Healthcare,
and Transportation to name a few. In this talk, we will provide
an overview of the NSF research portfolio, and emerging directions
for the future. |
4. Value-Driven
Sales and Delivery, by Dr. Grace Lin,
Global Sense and Respond Leader, IBM, USA
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Abstract: The sales and buying
cycle for mid to large IT and services is typically long and
costly. IT and service providers often focus on functions and
capabilities while their client executives focus on values and
business impacts. This gap can hinder sales, impact business
performance, and cause client dissatisfaction. In this talk,
Dr. Lin will present a new value-centric model that focuses
on demonstrating measurable values in selling and delivering
services and products. This model provides a means to bridge
the gap between business and IT and can be used to tune business
operations and/or IT investments to optimize the ROI of IT and
business performance. An unified framework for assessing, delivering,
and tracking business values based on key performance drivers
and the componentized business and IT models will be discussed.
Several use scenarios will be presented. Finally, Dr. Lin will
briefly discuss a major Sense and Respond Service Innovation
effort in IBM, which includes the Value-Driven Sales and Delivery,
to help companies transform into an agile and adaptive Sense
and Respond enterprise by continuously sensing internal and
external conditions, aligning operations with strategy and customer
requirements, proactively detecting events, engaging value net
partners for collaborative decision making, collectively improve
value of the network and proactively adapt to changing business
environments. |
Keynote Speakers' Biographies:
1. David Simchi-Levi is a professor of Engineering
Systems at Massachusetts Institute of Technology. His research currently
focuses on developing and implementing robust and efficient techniques
for manufacturing and supply chains. He has published widely in
professional journals on both practical and theoretical aspects
of supply chain management. He has been the principal investigator
for more than two million dollars in funded academic research. He
is the Editor-in-Chief of Naval Research Logistics and a member
of the board for several scientific journals. His Ph.D. students
have accepted positions in leading academic institutes including
Berkeley, Columbia U., U. of Illinois Urbana-Champaign, U. of Michigan,
Purdue U., Georgia Tech, and Virginia Tech.
Professor Simchi-Levi is the co-author (with Julien Bramel) of
The Logic of Logistics, published by Springer in 1997; 2nd Edition
appeared in October 2004. His book, Designing and Managing the Supply
Chain (with P. Kaminsky and E. Simchi-Levi) was published by McGraw-Hill
in August 1999, 2nd Edition appeared in October 2002. The book received
the Book-of-the-year award and the Outstanding IIE Publication award
given in 2000 by the Institute of Industrial Engineers, and the
Outstanding First Edition of the Year award given in 2000 by McGraw-Hill.
The book was also selected by Business 2.0, December 2001 issue,
as the best source for slashing time and cost and increasing productivity
in the supply chain. The book has been translated to Chinese, Japanese,
Korean and Portuguese. His third book, Managing the Supply Chain
(with P. Kaminsky and E. Simchi-Levi) was published by McGraw-Hill
in December 2003.
Professor Simchi-Levi has consulted and collaborated extensively
with private and public organizations. He is the founder and chairman
of LogicTools (www.logic-tools.com) which provides software solutions
and professional services for supply chain planning. These solutions
have been used widely to reduce cost and improve service level in
large-scale supply chains. Clients include Colgate-Palmolive, ConAgra,
Del Monte, Kraft Foods, Ryder, SC Johnson, UPS, US Postal Service,
Walgreens, and Weyehaeuser to name a few.
2. Grace Y. Lin, Ph.D. Dr. Lin is the Global Sense
and Respond Value Net Leader in IBM Business Consulting Services
(BCS). She is also an elected member of the IBM Academy of Technology.
Prior to her work with IBM BCS, she served as a Senior Manager at
the IBM T. J. Watson Research where she built and nurtured a world-class
R&D team on Supply Chain Management and e-Business Optimization.
Dr. Lin has dedicated to drive the innovative uses of advanced technologies
to solve real-world business problems. She led her team to win the
prestigious Franz Edelman Award from INFORMS in 1999 for saving
IBM $750M on their extended enterprise management. Subsequently,
she initiated IBM's Sense and Respond Value Net effort and founded
of the IBM Value Chain Innovation Center. She has worked with IBM
internal and external clients on forecasting, inventory management,
risk management, pricing, business process integration, supply chain
simulation/optimization, and sense and respond value net transformation.
She has co-authored numerous technical articles and patents and
is a frequent speaker at various international conferences, universities
and company sessions. She is the INFORMS VP for Practice and was
the conference chair for INFORMS 2003 and 2004 ORMS in Practice
Conference. Dr. Lin has served as an Associate Editor of Operations
Research and M&SOM. Dr. Lin received the 2003 Purdue University
Outstanding Engineer Award. She was listed as one of the six ’Supply
Chain Gurus’ in a Forrester’s SCM report in 2002, and in the “Thinking
with Guru” Panel in the 2004 eAsia Forum. Dr. Lin and her team’s
advanced work and world-wide recognition from both industry and
research institutions have generated press coverage for IBM in such
publications as Information Week, ORMS Today, INFORMS News, ComputerGram,
Electronic Buyer, Computer Reseller, Stanford Supply Chain Forum
News Letter, Forrester, Forbes Magazine, CNET and China News. Dr.
Lin received a B.S. and M.S. in Math from Tsing Hua University as
well as an M.S. in Applied Math, and a Ph.D. in Industrial Engineering
from Purdue
University.
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