Analyzing Supply Chain Economics

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  • View profile for Jan Rosenow
    Jan Rosenow Jan Rosenow is an Influencer

    Professor of Energy and Climate Policy at Oxford University │ Senior Associate at Cambridge University │ World Bank Consultant │ Board Member │ LinkedIn Top Voice │ FEI │ FRSA

    111,640 followers

    The latest reporting from the Financial Times highlights a point that energy analysts have been making for years: geopolitical shocks consistently strengthen the case for renewables, electrification and storage. Microsoft’s global vice-president for energy notes that oil and gas price spikes linked to the Middle East conflict reinforce the value of wind, solar and batteries in providing price stability. Once installed, renewables offer predictable cost profiles and reduce exposure to volatile global fuel markets. We saw this dynamic after Russia’s invasion of Ukraine. Europe accelerated solar deployment, heat pump uptake increased in several countries, and governments revisited questions of energy security through the lens of diversification and electrification. The underlying issue remains unchanged. Fossil fuels must continuously flow through complex global supply chains. When those flows are disrupted, prices spike and economies are exposed. Renewables, by contrast, are capital intensive upfront but deliver long term domestic supply and insulation from commodity shocks. There are short term risks. Inflation, higher interest rates and supply chain constraints can slow clean energy investment. Some governments may also respond by doubling down on gas infrastructure. The policy challenge is to avoid locking in further structural vulnerability. Energy security and climate policy are not competing objectives. In a world of recurrent geopolitical instability, they are increasingly aligned.

  • View profile for Jason Miller
    Jason Miller Jason Miller is an Influencer

    Supply chain professor helping industry professionals better use data

    62,679 followers

    One headwind for economic growth in 2025 is the tremendous amount of economic policy uncertainty due to current tariff activity by the executive branch. The Federal Reserve Bank of Atlanta recently shared data about the negative impact of tariffs on planned investment activity (https://lnkd.in/gstDznqp). I’ve reproduced two charts from the data they provided. Thoughts: •The top chart provides responses to the question, “How has uncertainty about tariffs, taxes, government spending, monetary policy, or regulation affected your firm’s plans for hiring/investment over the next 6 months?” Over 40% of respondents stated they would scale back hiring plans and investments in response to economic uncertainty, with less than 5% stating they would expand hiring/investment. This scaling back points to slower growth in the coming months. •The bottom chart shows responses to the question, “What is your firm’s top concern with respect to uncertainty affecting your firm’s hiring/investment plans over the next 6 months?” We clearly see tariffs dominate the conversation, with more than 50 percent of respondents noting tariffs are the top source of uncertainty. Implication: Federal Reserve survey data from N = 961 firms points to tariff-induced uncertainty causing business to scale back hiring and investment plans over the coming months. There is a tremendous body of economic literature detailing the negative effects of economic policy uncertainty in terms of investment. As I’ve stated before, supply chain managers cannot make effective plans around 90-day windows and not knowing if major policy shifts will occur with short notice. Many are anxiously awaiting news on reciprocal tariff levels come July once the 90-day pause on their implementation ends. #supplychain #economics #markets #shipsandshipping #manufacturing #logistics

  • View profile for Irene Kemunto Mironga

    Regional Supply Chain & Operations Professional | East Africa | Cross-Border Trade & Compliance | Cost Optimization & Supply Chain Transformation | Micro1 Certified Procurement & AI Workflow Specialist

    2,051 followers

    ❌ Supply Chain is NOT Procurement. ❌ Supply Chain is NOT Logistics. ❌ Supply Chain is NOT Warehousing. 👉 Here’s what it REALLY is. 🚨 Supply Chain explained. Too often, people casually say “I’m in supply chain” when they actually mean procurement, logistics, or warehousing. The truth? Supply Chain is the entire system — the engine that drives business from raw material to the end customer. Here’s the full picture of what Supply Chain Managers and Specialists actually do: 🔹 Demand Planning & Forecasting – predicting demand and aligning supply 🔹 Procurement & Sourcing – suppliers, contracts, cost, risk 🔹 Production/Operations Planning – ensuring products get made, and made right 🔹 Inventory Management – balancing too much vs. too little stock 🔹 Warehousing & Storage – safe, efficient handling of goods 🔹 Logistics & Transportation – moving goods across borders, by sea, land, or air 🔹 Order Fulfillment & Distribution – delivering to retailers and end-users 🔹 Customer Service & Reverse Logistics – after-sales, returns, recalls, sustainability 🔹 Risk & Compliance Management – ensuring regulatory, environmental, and ethical standards 🔹 Data & Performance Analytics – optimizing through KPIs, tech, and continuous improvement 💡 In short: Supply Chain is the orchestra. Procurement, logistics, and warehousing are just instruments. 👉 If you’ve been using “supply chain” as a catch-all, you’ve been underselling the discipline. Supply Chain isn’t one function — it’s the system that ties them all together. #SupplyChain #Procurement #Logistics #Warehousing #BusinessStrategy #Operations #Leadership

  • Why #DDMRP is Superior to #MRP Forecast vs. Real Demand: The Case for Demand Driven Institute #DDMRP One of the biggest challenges in supply chain management is balancing demand variability and supply variability while ensuring optimal inventory levels. Traditional Material Requirements Planning (#MRP) systems rely heavily on forecasts, which, while useful, are inherently inaccurate due to demand unpredictability. Demand Driven MRP (#DDMRP), on the other hand, shifts the focus to real demand, enabling a more responsive and resilient supply chain. MRP: Forecast-Driven but Flawed #MRP systems depend on forecasts to plan inventory and production. While forecasts are based on historical data and market trends, they are rarely precise. Factors like market disruptions, seasonality, and demand spikes make forecasts unreliable. 😟 Key Limitations of MRP: 1. Forecast Inaccuracy: Leads to overproduction or stockouts. 2. Bullwhip Effect: Amplifies demand variability across the supply chain. 3. Inflexibility: Struggles to adapt to real-time changes in demand or supply conditions. 🚫 MRP’s reliance on forecast data often results in inflated inventory levels or frequent shortages, directly impacting customer satisfaction and operational efficiency. #DDMRP: The Power of Real Demand 🚦 DDMRP fundamentally changes the game by focusing on real demand rather than relying on forecast accuracy. Here’s why it’s more effective: 1. Strategic Decoupling Buffers: DDMRP places buffers at key points in the supply chain to absorb demand and supply variability. These buffers decouple dependencies, allowing for a smoother flow of materials and preventing disruptions. 2. Adaptability to Real Demand: DDMRP dynamically adjusts buffer levels based on consumption patterns, ensuring the right inventory is available at the right time. This minimizes both overstocking and understocking. 3. Reduction of Variability: Buffers mitigate the impact of demand spikes and lead time fluctuations, providing stability to the supply chain. 4. Customer-Centric: By prioritizing availability based on real consumption, DDMRP ensures higher service levels and customer satisfaction. Why Real Demand Matters 🚫 MRP’s Dependence on Forecasts: Forecast errors ripple through the supply chain, leading to inefficiencies. Without buffers, variability in demand or supply directly impacts production schedules and inventory levels. 🚦 DDMRP’s Real Demand Focus: With decoupling buffers, DDMRP isolates variability and ensures the supply chain responds to actual consumption. This agility allows companies to maintain optimal inventory levels, even in volatile markets.

  • This topic is not as sexy as AI, but what is going on with eggs? This is a picture from 2 stores this week (Lidl and Trader Joe’s). Here’s what my research turned up. The conventional wisdom is that there is bird flu outbreak (H5N1, also HPAI) that is causing a shortage of eggs and a spike in egg prices. But if it’s an avian flu that is lethal to birds, wouldn’t chicken and turkey prices also be higher (slide 2)? While egg prices always spike during avian flu outbreaks (https://lnkd.in/eBQNCNuT), it’s a complex story of supply and demand. On the supply side, there are two types of commercial chickens: “layers” (ie egg-laying hens) and “broilers” (ie meat chickens). The egg layers are the ones that have been most affected, with nearly 70MM having been “depopulated” due to the bird flu.  Egg farms are trying to repopulate their hens, but affected farms have quarantine periods for several weeks and then they must wait for baby chicks to become hen-layers, which can take an additional 20 weeks. Furthermore, hens lay fewer eggs in the winter. All that leads to the current acute shortage. One other interesting note: the largest producer of eggs in the US is a company called Cal-Maine, which appears to have only had a few of its locations affected by the flu. They’re a public company and their stock is at an all time high. Broilers on the other hand are more populous and have much shorter replacement times. Additionally, there have been no major HPAI outbreaks in any of the states that produce the most broiler chickens (https://lnkd.in/e26c_vYP). Supply in this case is meeting demand. Turkeys are the least popular poultry meat for US consumers and while they have had some depopulation due to HPAI, demand has declined as well, so prices are stable (https://lnkd.in/e4HtmDN2). What about other proteins like pork and beef? Pork, like turkey, is a less popular protein in the US and its prices haven’t budged in 25 years.  Look at the recent S-1 of Smithfield Foods, a big pork producer, as an example: its sales in 2024 are barely up from 2014 (https://lnkd.in/eRRhpYtn).   Beef coincidentally has had price spikes at the same time as bird flu outbreaks, but those spikes are coincidental not causal. There was a drought in 2014 and weather continues to make it harder to feed cattle now. Hay is more expensive so supply is down. Additionally, consumers have not cut back on their beef consumption so demand is up, even in spite of climate change advocates pleading otherwise. If you are dismayed by high egg and beef prices, substitute them with cheaper protein choices: turkey and pork. Word is that the egg shortage will continue for months to come (https://lnkd.in/e7a-CPeG). 

  • View profile for Pascal Brier
    Pascal Brier Pascal Brier is an Influencer

    Group Chief Innovation Officer chez Capgemini | Member of the Group Executive Committee

    14,997 followers

    The Covid pandemic and the microchip crisis have dramatically transformed how we perceive supply chains, turning logistics into a major focus for many businesses. Indeed, Global supply chains face mounting challenges from geopolitical tensions, climate change, rising costs, and stricter regulations like the upcoming EU Digital Passport. But amidst these challenges lies an opportunity: a new generation of supply chains is emerging in 2025, leveraging cutting-edge technology and fostering unprecedented collaboration. According to our research, 70% of executives across industries and geographies rank new-generation supply chains among the top #trends for 2025 . We see more and more organizations embracing AI-powered automation together with IOT, Digital twins, Cloud and sometimes Blockchain to improve demand forecasting, risk management, and operational efficiency. For instance: Amazon’s advanced robotics and #AI in their Shreveport fulfillment center have increased order processing speed by 25% while reducing packaging waste. Honeywell uses robotics and data analytics to optimize warehouse operations. Pfizer leverages AI for supply chain optimization, enhancing drug distribution and vaccine rollouts. In 2025 and beyond, I believe that the convergence of AI, sustainability, and collaboration will redefine what supply chains can achieve. Beyond simply improving efficiency, we can also empower businesses to meet consumer demands for transparency, resilience, and eco-conscious practices. So the question is not whether your organization will embrace this transformation — it’s whether it can afford not to. Emmanuelle BISCHOFFE CLUZEL🌍 https://lnkd.in/e3SWs4iN #top5techtrends

  • View profile for Sayi Sasidharan

    Operations Leader | Building profitable factories | Exploring factory economics

    5,622 followers

    Monthly review meeting. Sales Director walked in smiling. “We closed a big order. It would increase our usual monthly volume several times.” The room felt proud. Applause across the table. Machines would run full. People imagined higher profit. Next monthly review meeting. Finance Manager walked into the same room. “Margins dropped drastically.” Everyone looked confused. Volume had grown fourfold. But three things had quietly changed on the shopfloor: • Two machines crossed safe capacity → overtime and breakdown maintenance increased. • Raw material had to be bought from a secondary supplier at a higher price. • Dispatch shifted to partial truckloads to meet the customer’s schedule. The factory was busy. But each unit was now more expensive to produce. Same product. Higher volume. Lower margin. That day the team learnt something uncomfortable. Volume doesn’t guarantee profit. Only contribution margin does. Factories don’t fail because they are idle. Many fail because they are busy in the wrong way. Before celebrating a large order, run a simple 3-Gate Factory Check. 1️⃣ Capacity Gate - Will the factory behave differently at this volume? Check whether the order pushes any resource beyond its stable operating range. • Will machines move into overtime or weekend shifts? • Will maintenance intervals shorten? • Will temporary labour or subcontracting be required? If yes, the cost structure has already changed. 2️⃣ Supply Gate - Will input economics remain stable? Higher volume often breaks normal sourcing patterns. • Can the same supplier support the increased volume? • Will alternate suppliers or spot purchases be required? • Will raw material price tiers change? Material economics must remain stable for margin to hold. 3️⃣ Logistics Gate - Will delivery behaviour change? Large orders often distort dispatch patterns. • Will shipment sizes reduce? • Will dispatch frequency increase? • Will premium freight or additional handling be required? Logistics deviations quietly erode contribution margin. Before celebrating volume, ask one question: After these three gates, does the unit contribution remain intact? If the answer is no, the order is not growth. It is a busy factory producing negative economics. #ManufacturingLeadership #FactoryOperations #OperationalExcellence #ContributionMargin #IndustrialLeadership

  • View profile for Hanns-Christian Hanebeck
    Hanns-Christian Hanebeck Hanns-Christian Hanebeck is an Influencer

    Supply Chain | Innovation | Next-Gen Visibility | Collaboration | AI & Optimization | Strategy

    35,780 followers

    🌍 China's Rare Earth Gambit: Why This Is a War Nobody Can Win China just announced sweeping export controls on rare earth elements, requiring foreign companies to obtain government approval before exporting products containing even trace amounts of these critical materials. The US responded with threats of 100% tariffs and export controls on critical software. The uncomfortable truth: Both sides are holding loaded weapons pointed at their own economies. 🇨🇳 China's Leverage is Real: 70% control of global rare earth supply 🔹 Critical applications everywhere: · F-35 fighters: 900 pounds per aircraft · Wind turbines: 600kg per 3-megawatt installation · Electric vehicles: 1-2kg per motor · MRI machines, smartphones, defense systems 🔹 Manufacturing dominance: Projected 45% of global manufacturing value-added by 2030 🇺🇸 But America Has Its Own Chokepoints: 💡 Technology & semiconductor supremacy: · Dominance in advanced AI chips and infrastructure (though China is rapidly innovating) · EUV lithography equipment (only source for cutting-edge chips) · Leading hyperscale cloud infrastructure and most advanced AI accelerators · Critical design software and semiconductor manufacturing equipment 🌾 Agricultural power: · $176 billion in annual agricultural exports · 14% from soybeans—half going to China · Critical food security leverage ⚠️ The Mutual Vulnerability: American export controls on extreme ultraviolet lithography tools have effectively prevented China from producing the most advanced chips. Meanwhile, China's dominance in rare earths and processing of critical minerals like lithium (80% of global supply) gives Beijing equal leverage. The uncomfortable reality: When both nations control critical nodes in deeply interconnected global supply chains, export restrictions become economic mutually assured destruction. 🤝 Reading the Room: China's restrictions don't take effect until December 1—leaving 2.5 months for negotiations. That's not coincidence. It's acknowledgment that disruption cuts both ways. 💭 The Bottom Line: The question isn't who "wins" this standoff. It's whether either side can afford the cost of escalation when global supply chains have spent decades optimizing for efficiency over resilience. Decoupling isn't a strategy—it's economic self-harm in slow motion. What's your take? Is economic interdependence strong enough to force cooperation, or are we watching the beginning of a genuine technological cold war? #Truckl #SupplyChain #Innovation #Transportation

  • View profile for Haresh Panjavani

    Senior Director | Supply Chain, Procurement & Operations Transformation | Driving Cost, Cash & Performance | Capgemini Invent

    6,143 followers

    Why is supply chain still struggling with demand forecasting? Maybe because we try too hard to explain demand instead of recognizing its context. We spend years modeling price, promotions, seasonality, macro, weather, trying to explain demand. But markets behave less like physics and more like human systems: adaptive, emotional, nonlinear. David Epstein describes a useful shift in Range. Netflix stopped trying to decode what makes a movie good. Instead, they asked: who is this user similar to, and what did they like? Analogy replaced explanation. This technique isn’t unique to Netflix. - Medicine predicts outcomes using case-based reasoning / patient similarity analytics. - Climate science uses analog forecasting. - Banks estimate risk through peer group and cohort models. In all these domains, similarity-based inference outperforms causal explanation when systems are complex and adaptive. So what if we flipped demand planning the same way? Instead of asking: “Why will this product sell?” Ask: “Which past situations looked like this and what happened next?” For example, instead of forecasting SKU 123, define the situation: FMCG staple, low price, GT-heavy channel, low promo, high inflation, festival season, rising volatility. Then find similar past situations and observe what happened next. So instead of saying: “Demand will be 12,340 units.” You say: “In 37 similar situations, average uplift was +9%, with a 70% chance it will be between +5% and +14%.” Not predicting demand. Recalling it from history’s closest analogs. This gives planners not just a forecast, but also confidence and risk. I’m looking for a few volunteers to test this approach in practice, reach out if you’d like to explore. #SupplyChain #DemandForecasting #Analytics #AI #MachineLearning #SystemsThinking #DecisionScience

  • View profile for Josh Rogin

    Lead Global Security Analyst - Washington Post Intelligence

    14,128 followers

    🚨 New Washington Post Intelligence Report 🚨 Rare earths, real leverage: China’s minerals strategy bites By Josh Rogin and Kendrick Frankel Key Takeaways: With rare earths, China has the cards - China’s newly announced export restrictions mark a structural escalation in the U.S.–China trade war. Beijing’s move to restrict access to rare-earth minerals, magnets and other critical materials is not a reaction to any single U.S. action but the latest step in a deliberate, years-long strategy to tighten control over materials vital to defense, technology and advanced manufacturing. This is not a tit-for-tat retaliation, it’s industrial statecraft. China aims to convert its dominance in critical materials into enduring leverage over Western economies. - Rare-earth strangulation is already being felt. Despite Treasury Secretary Scott Bessent’s diplomatic efforts to negotiate a deal to avoid large scale disruptions, the flow of magnets and other critical components from China has already sharply declined. U.S. defense primes and automakers are drawing down their stockpiles, refurbishing old parts and racing to find substitutes. The pressure extends beyond magnets to industrial diamonds, lithium-ion batteries and other sectors where China dominates global supply chains. - The U.S. response remains fragmented and reactive. Washington is trying to rally allies against Beijing’s supply chokehold, but Europe and Asia are reticent to fully side with the United States. The Trump administration is left with unilateral tools — tariffs, export controls and rhetorical threats — that harm U.S. markets as much as they pressure China. Beijing may conclude, perhaps mistakenly, that President Donald Trump will avoid actions that cause immediate pain, diluting U.S. deterrence. - Corporate America is unprepared. American industry is scrambling to onshore rare-earth mining, refining and magnet-making, but building that capacity will take years. In the meantime, manufacturers are cannibalizing supply chains, reusing magnets and hoarding supplies. Trump’s looming sectoral tariffs on semiconductors and high-tech components could deepen the uncertainty, forcing firms to navigate overlapping compliance regimes from Washington and Beijing. Read the entire report here: https://wapo.st/4o8gvJl

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