Attention Retailers: IBM is attending the Retail Industry Leaders Association (RILA) Logistics 2010 Conference in Orlando, FL on Feb 21-24 at booth #322.
We invite you to join us on Monday, February 22 from 7:30 to 9:00 p.m. to chat with IBM ILOG Chief
Scientist, LogicTools founder and MIT professor, Dr. David Simchi-Levi,
as well as several IBM supply chain experts. In a retail world where
demand-driven inventory and optimized global supply chains are more
essential than ever, this informal event will give you the contacts and
ideas you need to start making a difference. REGISTER BY February 17th.
IBM is a leader in Operations Research and we offer the world's most advanced optimization solutions for solving tough business and supply chain problems.
IBM Decision Optimization
Matching: ibm_ilog_supply_chain_solutions X
RILA Logistics 2010 - Meet David Simchi-Levi, IBM ILOG Chief Scientist, LogicTools Co-founder and MIT Professor
aeortiz 2700024WMF Tags:  logistics ibm_ilog_supply_chain_sol... ilog retail optimization 2,863 Views
In an earlier blog, we mentioned a talk by Mars and Wrigley with IBM. The talked covered how Mars and Wrigley worked with IBM to analyze their combined network and identify savings.
The talk was covered by Bob Ferrari, and his blog entry hit the same highlights stressed at the end of the presentation. Specifically,
1. You can find savings with network modeling. The team quoted that they were able to find $10M in savings just in the initial modeling. In fact, the speakers stressed the tremendous value in just building a baseline model. This allows you to uncover savings, but to also challenge preconceived ideas.
2. Sensitivity analysis is valuable. After narrowing down choices, the team did analysis on the impact of higher oil prices and carbon emissions to rank the solutions.
Bob Ferrari noted that this work can be done with remote teams:
The speakers also mentioned that through the years they were able to build various models that focused on different parts of their supply chain from distribution to manufacturing.