IBM Decision Optimization
Lean principles have many virtues. However, as a system primarily created by Toyota and then widely adapted to other businesses and industries, some firms are having second thoughts about some key Lean principles.
Specifically, if lean principles are applied just to the manufacturing sites, it may decrease the flexibility in the system and push inventory to other parts of the supply chain. For example, in the diagram below, if the manufacturing plant decreases their production variability by locking in firm schedules and minimizing their inventory, it may push inventory to the warehouses.
Executives realize that their supply chains need flexibility and that it is best to minimize system-wide inventory, not just inventory at the plants. Inventory optimization analyzes the entire supply chain to determine where inventory should be buffered. In some cases, it may provide more flexibility and less system-wide inventory by creating an inventory buffer at the plant. Inventory optimization provides a way to analyze these trade-offs and better adapt the lean principles to your unique organization.
In the recent letter from the chairman in IBM's 2010 Annual Report, Sam Palmisano discussed business analytics and optimization as a key part of IBM's future growth strategy:
IBM spotted this emerging need early, building the world’s leading analytics practice, with 7,800 expert consultants, the world’s premier nonacademic mathematics function, leading‑edge software and offerings integrated by industry.
As a reminder of a detailed explanation and definition of analytics from an IBM team, click here.
If you are going to be at SCOPE East in Orlando in April (17-19), 3M and IBM will be doing a talk. And, the IBM supply chain group will have a booth at the event--- we will be under the Sterling booth.
Here is a description of the talk:
"Applying Supply Chain Analytics: Benefits of a Central Group"
This talk addresses the value firms can achieve by deploying advanced supply chain analytics and how a group should be structured. We will use case studies and recent events (like the run up in oil prices) to highlight the value from analytics such as network and inventory optimization. 3M will discuss how they are organized to deploy this capability.
Hu (Tiger) Liu, PhD, CSCP, Supply Chain Specialist for Manufacturing & Supply Chain Services, 3M and Michael Watson, PhD, ILOG Supply Chain Solutions Leader, IBM
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IBM Advanced Analytics Summit
Wednesday, April 13, 2011
9:00 a.m. - 5:15 p.m.
Chicago Marriott Downtown Magnificent Mile
Chicago, Illinois 60611
This live complimentary event will show you how IBM, through its ILOG® Optimization and SPSS portfolio and Business Analytics & Optimization service line, enables organizations to quickly and confidently answer fundamental business questions, from: Who will be our most profitable customers tomorrow? to What price will maximize profit from sales?
Learn and share best practices in implementing advanced analytics to your most critical business decisions.
Breakfast and lunch included.
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Date: Tuesday, March 29, 2011
Time: 11:30 EST, 10:30 CST, 9:30 MST, and 8:30 PST
Optimization in and of itself is nothing new but it is
often overlooked by Line of Business and Information Technology
professionals since many instances of it are embedded inside "classic
supply chain management applications". Optimization allows companies to
make sense of the massive amounts of data across the extended
enterprise. By applying this data in unique and innovative ways, firms
can optimize business outcomes by anticipating, controlling and adapting
to a dynamically changing and chaotic environment, using the insights
from visibility, analytics and trading partner collaboration to direct
and control operations more intelligently.
With the advent of "Optimization 3.0", firms now have the ability to layer or integrate key advanced analytics technology on top of existing supply chain planning and execution systems to support both long-term (strategic) and short-term (tactical) planning goals as well as detailed scheduling while continuously improving operational efficiency, reducing costs and ultimately enhancing the overall customer fulfillment experience. This new combination of State-of-the-Art advanced analytics and B2B integration gives businesses the unprecedented ability to quickly model and solve across the most complex systems and implement solutions in near real-time, creating truly adaptive supply chains.