Supply Chain volatility and disruptions are the changes in various logistical parameters over a given time period that impact supply and demand. The more rapid the change, the greater the volatility and the more frequent the disruptions. While volatility is not a new problem, the frequency and severity of disruptions have grown significantly in the last five years. Amid inflation, uncertain consumer demand, labor shortages, disrupted logistics, and extreme weather, supply chain managers are restructuring operations and reinforcing digital controls to add flexibility and manage risk while attempting to hold down costs. History shows that restructuring operations with on shoring and near shoring of suppliers will add costs. This trend is likely to continue into the coming year.
Here are some factors contributing to this ongoing volatility:
Environmental Sustainability and Extreme Weather: Going forward, environmental sustainability issues and extreme weather events (such as hurricanes and wildfires) will remain in the public eye. As people experience more weather-related damage to their communities and disruptions to the supply chains they depend on, businesses are under increasing pressure to reduce supply chain contributions to global warming and adapt to withstand extreme weather events.
Geopolitical Conflicts and Inflationary Pressures: Existing or new geopolitical conflicts, inflationary pressures, and the recessionary environment can impact supply chain stability. These factors introduce uncertainty and can lead to sudden shifts in demand, supply, and costs.
Infrastructure Issues and Labor Shortages: Disruptions caused by infrastructure issues (such as port congestion) and labor shortages continue to affect supply chains. These challenges require adaptive strategies to maintain operations.
Digital Transformation and Risk Management: Supply chain leaders are increasingly focusing on digital strategies to enhance visibility, agility, and risk management. Technologies like computer vision and smart technologies play a crucial role in monitoring and analyzing supply chain data to identify potential risks and opportunities.
Solutions
There are a variety of counter measures both large and smaller organizations can undertake to reduce the volatility and disruptions in their supply chains:
o Distribute production, sourcing, and shipping operations across geographic areas to reduce exposure to external risks.
o Use supply chain planning systems with scenario modeling to plan for potential disruptions.
o Use the World Bank’s Worldwide Governance Indicators (WGI) tool to grade international suppliers, avoiding countries with high levels of corruption, poor infrastructure, and that don’t adhere to the rule of law.[i]
o Avoid suppliers in countries and regions that are hostile to free markets, Western democracies, and the rule of law.
o Use advanced demand planning tools to adjust production accordingly.
o Consider incorporating Nassim Taleb’s Black Swans philosophy that very rare but potentially disastrous disruptions present existential threats to all organizations. Even the most advanced modeling tools struggle to factor in Black Swans such as the Fukushima Tsunami, the Russian invasion of Ukraine, and war in Gaza. Look to history for examples that impact your industry.
In summary, while supply chain volatility remains a challenge, organizations are actively working to build more resilient supply chains. The coming years will likely see further efforts to enhance flexibility, risk management, and sustainability.
Prediction
The fight for generative AI supremacy between the U.S. and China could impact supply chains in several ways leading to greater volatility and a decline in Chinese competitiveness.
o Technological Competition: Both countries are investing heavily in AI research and development. As they compete to lead in generative AI, supply chain technologies may become pawns in this geopolitical game.
o Export Restrictions: The U.S. government has already placed export restriction on certain advance AI chips to China and the Middle East over concerns that the that the technology will be applied to develop advanced weapon systems. He who loses in the Gen AI race will suffer a major disadvantage in armed conflicts, a disadvantage not likely to be overcome by higher quantities equipment and people.
o Data Dependencies: Gen AI tools rely on input data quality and availability. If supply chain partners’ data is limited or of poor quality, it could hinder Gen AI’s effectiveness.
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Anthony Tarantino, PhD
Six Sigma Master Black Belt, CPM (ISM), CPIM (APICS)
Adjunct Professor, Santa Clara University – Smart Mfg. & Industry 4.0
Author of Wiley’s Smart Manufacturing, the Lean Six Sigma Way Amazon Links
Senior Advisor to IM Republic, https://imrepublic.com
(562) 818-3275 [email protected] Anthony Tarantino
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[i] The World Bank, https://www.worldbank.org/en/publication/worldwide-governance-indicators