Managing Supply Chain Risk. Minimizing Exposure to Supplier Failure, Volatile Commodity



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Managing Supply Chain Risk Minimizing Exposure to Supplier Failure, Volatile Commodity Prices, and Manufacturing Disruptions 1

Survey Findings Reveal Priorities Greatest Supply Chain Focus Areas Negotiating Contracts/Individual Supplier Relationships Managing Inventory Levels Gaining Greater Visibility into the Supplier Network Material Risk Management/Hedging Low Cost Country Sourcing Benchmarking Geographic Mapping of Supplier Mfg Parts Management 0% 10% 20% 30% 40% 50% 60% 70% IHS Inc and Supply & Demand Chain Executive magazine 2012 Supplier Risk Survey results

Segmenting Supply Chain Risk: Categories Material & Parts Risk Commodity Price Volatility Parts Change Notifications Obsolescence Production Disruptions Supplier Risk Low Cost Country Sourcing Supplier Health Financial viability Ability to cope with disruption Market share 3

Segmenting Supply Chain Risk: Types Resting Risk Supplier Segmentation Partner, Critical, Bottleneck, Transactional Fragmentation of Supply Conflict Metals or soon-to-be Non-Compliant substances in Supply Chain EOL and PCN alerts Counterfeit Parts Reactive Risk Natural Disaster Disruptions Political Disruptions Supply Disruption Alerts/Notices specific to supplier Cost rising & volatile prices for key material inputs

Parts and Material Risk Is change the only constant?

Insight: PCN/EOL Correlate with Market Trends, Business Drivers, and Volatility Component PCN 40% CAGR from 1997-2010 Lead-free creates 20% new EOL 2006-2007 End of Life (EOL) Specific to RoHS/Pb-free Environmental Compliance 2003 2004 2005 2006 2007 2008 2009 Component EOL 40% CAGR from 97 to 10 Demand weakness 90% of EOL in 2009 2,600 2,500 2,400 2,300 Semiconductor MSI (Right Scale) End of Life Parts % of Total Parts 2,200 2,100 2,000 1,900.80.75.70.65.60.55.50.45.40.35 1,800 1,700 1,600 1,500 1,400 1,300 1,200 1,100 1,000 900 800.30.25.20.15.10.05.00 IHS EOL insight found demand side primary reason for 90% of EOL actions in 2009, vs. more typical 15-20% citations during 2004-2008 Millions Square Inches Silicon Processed - Semi Parts: IHS Electronics Database 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Charts Courtesy of IHS Inc., 2011

PCNalert: Illustrate Material/Price Volatility

What Has Changed? Commodity prices exploded from 2002 to 2011 Average annual growth rate of 15% Why should we care about commodity prices? This surge in prices has impacted profitability and complicated budget planning - elevating purchasing s role Higher prices joined by higher volatility in recent years Upside risk and downside risk combine to create wild gyrations in prices on a month to month basis Emerging markets have exploded onto the global economy Influence will continue to grow over the next decade Resource nationalism is becoming a factor Investors are now firmly entrenched

Price Volatility Has Increased Standard Deviation in Monthly Price Changes* 10.0 9.0 8.0 7.0 6.0 5.0 4.0 3.0 1982-85 1986-89 1990-93 1994-97 1998-2001 2002-05 2006-09 2010-2011 *Gold, silver, oil, aluminum, copper, coffee, sugar, rubber, cotton, corn, w heat, lumber, steel scrap, steel plate, HR carbon steel sheet

Quantified Risk Correlates With Volatility

Takeaways Commodity prices exploded since 2005 Global economy continues to struggle from the Great Recession; however prices have almost regained previous peaks A new higher cost profile has been placed under many commodities Volatility has increased significantly and is likely a permanent feature of supply chains This raises the need to not just track commodity prices but also the corresponding factors that drive prices Build a cost profile of your key materials Identify key production centers and raw material exporters Be aware of changes and potential changes in policy these do influence investor flows Be prepared for volatility Formal hedging strategies should be considered if not already in place

Supplier Risk Understanding Risk Throughout the Supplier Network 12

Risk Survey Results Significance of Managing Supplier Risk to Operational Plan Most Pressing Supplier Risks Extremely Significant Supply Delay/Disruption Quality Very Significant Cost Moderately Significant Reliability Environmental Compliance Not Very Significant Counterfeit Risk Not At All Significant Supplier Bankruptcy 0% 10% 20% 30% 40% 50% 60% 70% 80% 0% 10% 20% 30% 40% IHS Inc and Supply & Demand Chain Executive magazine, 2012 Survey Results Survey results confirm supplier risk management is integral to 2012 operational plans Delays and disruption are the biggest concern, with quality and cost following closely behind

Supplier Risk Rating Service IHS is developing a pilot service to provide supplier risk ratings for electronics manufacturers The service helps users Understand the total picture of supplier risk Manage their supplier networks and make business critical decisions Calculate trade-offs between cost and risk Outputs are based on financial, regional, production, and market share factors, that combine to form a comparable, quantitative risk rating scheme 14

Understanding the Supplier Network Supplier Relationship Management Building Partnerships Gaining Visibility Understanding Risk Avoiding Disruption Achieving Cost Savings

Assessing Supplier Risk The impact of a disruption to the supplier relationship should influence your relationships with suppliers Balancing risk and cost is integral to effective supplier management For the most integral and high-value inputs to your supply chain, grow strategic partnerships with your suppliers Partner For lower value, but still integral inputs coming from a short list of suppliers, close inventory monitoring is required For highly competitive commodities and parts, strategic timing of buys, effective contract negotiation, and benchmarking mean cost savings Bottleneck Substitutes Available Value of Spend

Delivery: Risk Rating Content Table Form Data above are for illustrative purposes only and do not reflect actual risk scores for any company.

Delivery: Client Loaded Data Users can modify the weights of individual rating factors Users can upload their internal metrics to stratify risk across the supply base Specific contracts or part buys can be commented on and recorded in the system