|Date: ||Fri, 1 Nov 2002 17:38:31 -0600|
|Reply-To: ||Curt Squires <csquires@UMN.EDU>|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|From: ||Curt Squires <csquires@UMN.EDU>|
|Subject: ||Twin Cities Area SUG November 7 Meeting|
|Content-Type: ||text/plain; charset="iso-8859-1" ; format="flowed"|
fyi....see http://tcasug.org for more info....C
"Registration is required for this event. Detailed information and
registration are available at the TCASUG website: http://www.tcasug.org "
Twin Cities Area SAS Users' Group
Thursday, November 7, 2002
A copy of Dr. Shapiro's book "Modeling the Supply Chain" will be
available to the first 30 registrants interested in receiving a free
7001 York Ave S
Edina, MN 55435
1:30 Intelligent Supply Chain Management (1) by Dr. Jeremy F.
Shapiro, SLIM Technologies
2:40 Demand Supply Forecasting (2) by Dr. James C. Ford, Supply
Chain Initiative, SAS Institute Inc.
3:50 Quick and Easy SAS Solutions to Improve Data Quality (3) by
Russ Littlefield, PrimeTherapeutics Inc.
4:30 Questions and wrap-up
If you are not a member you can, for now, join for free. If you do
not wish to join but still want to attend the meeting, then click on
the PayPal button on the our home page to register ($5 non member
charge) for just the meeting.
You can still join TCASUG for free.
(1). Intelligent Supply Chain Management by Dr. Jeremy F. Shapiro
Developments over the past few years in Enterprise Resource Planning
systems have offered the promise of comprehensive databases that can
facilitate better planning. As many firms have come to realize,
however, competitive advantage cannot be gained simply through faster
and cheaper communication of transactional data. The firm's managers
require new tools to extract intelligence from these data and to
assist them in making intelligent decisions.
Specifically, intelligence is achieved through the application of
descriptive models that help managers determine and forecast:
· causal relationships underlying the firm's manufacturing and
distribution costs and capacities,
· the cost and availability of raw materials and other
commodities to be purchased by the firm,
· customer response requirements of the firm's market segments, and
· demand for the firm's products.
Intelligent decision-making is achieved through the application of
prescriptive models that help managers optimize:
· strategic plans leading to expansion, contraction or
re-design of the firm's supply chain network,
· tactical plans for coordinating purchasing, manufacturing,
and distribution activities across the firm's supply chain network,
· operational plans for the firm's daily production,
distribution and inventory management activities.
Prescriptive models are constructed from inputs determined by
In this talk, we will review these concepts. We will also discuss
descriptive and prescriptive modeling applications in several
industries including food manufacturing and distribution, retailing,
semiconductors, and health care. The talk will conclude with a brief
survey of future developments in supply chain intelligence.
(2) Demand Supply Forecasting by Dr. James C. Ford.
This presentation will address a forthcoming SAS capability: high
performance demand forecasting, the ability to do millions of
forecasts in a single batch.
(3) Quick and Easy SAS Solutions to Improve Data Quality by Russ
Ask any manager if data quality is important and the answer is always
a resounding 'Yes.' Without accurate data, it is difficult to make
intelligent decisions. And yet, with this almost universal agreement,
many organizations have never defined what data quality means to them
or taken steps towards the goal of improving data quality. This
presentation starts with an overview of data quality:
· What is data quality and how do I tell if I have it?
· Where in the processing cycle do I check for data quality?
· How do I assess the complexity of my data quality needs?
With that foundation, the presentation then discusses how to use the
procedures in BASE SAS to address some common data quality problems:
· Building and using a metadata library of input data sources
· Validating file transfer
· Issues with extracting data from an online data source
· Assessing data content of input files
Dr. Jeremy F. Shapiro is President of SLIM Technologies, LLC, a
Boston based firm specializing in the implementation and application
of modeling systems for supply chain management and other business
problems. SLIM Technologies has developed an off-the-shelf modeling
system for analyzing supply chain planning problems, called
SLIM/2000. The system has been applied in 30 manufacturing and
distribution companies including Alcoa Industrial Chemicals, Best
Foods, IKEA, Temple-Inland Forest Products, Canadian Tire, and many
Dr. Shapiro is also Professor of Operations Research and Management
Emeritus in the Sloan School of Management at MIT. For nine years he
served as Co-Director of MIT's Operations Research Center. He has
lectured and consulted extensively in Europe, Asia, Australia and
South America. Previous to his appointment at MIT, DR. Shapiro was
employed by Procter and Gamble, Hughes Aircraft Company, and the Port
of New York Authority.
Dr. Shapiro received the B.M.E. and M.I.E. degrees from Cornell and a
Ph.D. degree in Operations Research from Stanford. While an
undergraduate at Cornell, he studied for one year at the University
of Paris. He has published over 50 papers in the areas of operations
research, mathematical programming, supply chain management,
logistics, energy planning, operations management, finance, and
marketing. He is the author of two books: Mathematical Programming:
Structures and Algorithms, published by John Wiley and Sons in 1979;
and, Modeling the Supply Chain, published by Duxbury Press in 2001.
Dr Jim Ford a Statistician and the Leader of Business Development for
SAS's Supply Chain Initiative. He currently works out of the SAS
Philadelphia Regional Office.
Russ Littlefield is the Manager of Data Warehousing at
PrimeTherapeutics Inc., a full-service pharmacy benefits solutions
organization that offers comprehensive pharmacy benefit management
services to help manage the cost of prescription benefits and
encourage appropriate and safe pharmacy care.
Mr. Littlefield has B.S. and M.B.A. degrees in Marketing/Management
and has completed the course work for a Ph.D. in Management
Information Systems from the Carlson School of Management. He has
published journal articles in the areas of information systems and
Logistical Information for TCASUG Meeting
Directions to Meeting Location (Southdale Library)
Southdale Library: 7001 York Ave S
Edina, MN 55435
From the North: Take 35W south to the 66th street/CR-53 exit, right
on 66th street west, then left on York Avenue south.
From the South: Take 35W north to I-494, go west on I-494 to the Penn
Ave exit (#6A), right on Penn Ave, then left on 70th street west.
From the East: Take I-494 west to the Penn Ave exit (#6A), go north
on Penn Ave, then left on 70th street west.
From the West: Take I-494 east to the Penn Ave exit (#6A), go north
on Penn Ave, then left on 70th street west.
[directions from anywhere: get on Crosstown Highway 62 anywhere, and
follow to Xerxes Ave (which is between 35W and Highway 100).
Exit at Xerxes, and go south.
Follow Xerxes south as curves and becomes York (near 66th Street).
The Library is on the left (southeast corner of York and 70th), so turn left on
70th Street and then right into the Library's parking lot. ...C]
University of Minnesota Office of Information Technology
firstname.lastname@example.org Academic and Distributed Computing Services
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