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NIS 2 Has Deep Impacts on the Supply Chain, Not Just Plant Operations The manufacturing industry is undergoing a significant transformation as it grapples with the implications of the Network and Information Systems Directive 2 (NIS 2). This includes risk analysis, security of supply chains, and incident response capabilities.
But change management is significantly more difficult when the technology deployed is used not just internally, but also by key trading partners. They gain visibility into whether a supplier can fulfill the complete order in the requested time frame or not. People issues are always challenging. But getting there was not easy.
Reduces Implementation Times Enterprises and supply chain software providers strive to reduce application implementation times. It also feeds downstream applications including BI, reporting, and supply chain applications, with the right data sets, in the formats the applications expect, and at the right time the data is needed.
Transportation, warehousing, and manufacturing collectively contribute significantly to carbon emissions, making these areas critical for meaningful change. Smart energy management systems further enhance efficiency by tracking and optimizing energy use in real-time. Another crucial focus area is sustainable packaging.
The high-tech firm is more than a manufacturer of PCs, tablets, smartphones, and servers. The company has more than 2000 suppliers and operates over 30 manufacturing sites. Lenovo is a multinational company listed on the Hong Kong Stock Exchange. Factories serve local markets. The following interview was edited for conciseness.
They are no longer just vendors of goods and services. Or they may have expertise in manufacturing processes and have flexible capacity to allow contract manufacturing for new product introduction. Suppliers are now crucial strategic partners that support product innovation, efficient supply chains, and overall competitiveness.
Reduces Implementation Times Enterprises and supply chain software providers strive to reduce application implementation times. It also feeds downstream applications including BI, reporting, and supply chain applications, with the right data sets, in the formats the applications expect, and at the right time the data is needed.
The manufacturing sector is facing unprecedented volatility in global trade, with tariffs becoming the latest in a series of uncertainty drivers that are impacting virtually all industries. Manufacturing plants are deeply entrenched; tied to infrastructure, suppliers, skilled labor, and regulatory requirements.
Many organizations are now realizing that resilience is not just a supply chain add-on; it’s a fundamental capability. When a critical Tier-2 supplier is affected by a tariff policy change or regional shutdown, the ripple effects often catch manufacturers by surprise. What if lead times from a key port double?
It set in motion a series of actions and reactions in global markets that are just beginning to reveal themselves. It will take us some time to understand the full consequences of these unfolding events. It set in motion a series of actions and reactions in global markets that are just beginning to reveal themselves.
My advice,” he concluded, “is just jump in. Business Network Takeaways While Business Network rolls up into the spend management product development organization, the trading partner collaboration this platform covers extends beyond just sourcing. With that level of investment, one would expect an aggressive product buildout.
Sorting through this to make a decision on a new planning solution at this time is tough. For example, if I improve the cost structure in transportation, procurement, manufacturing and sales independently, what decision support framework decides the right trade-offs? .” I agree that the market is a bit of a mess. My advice?
Automotive: Can JIT manufacturing survive legal disruptions to tariff policy? Automakers must model dual-path sourcing strategies and reintroduce buffer inventory—not just for parts, but for regulatory flexibility. To minimize risks, AI can simulate the impact of multiple legal outcomes and adjust supply flows in real time.
However, over time, most companies have expanded their digital supply chain model from being mainly internally facing to including an array of external trading partners and participants. Those can include suppliers, contract manufacturers, logistics service providers, customs brokers, governmental agencies, and other participants.
Hospital chains’ approach to procurement lagged far behind the practices employed by manufacturers, retailers, and distributors. In manufacturing, engineers are typically at the top of the food chain. President Obama signed the Affordable Care Act into law in 2010. Adrian Wengert joined Saint Luke’s Health System in 2014.
Companies should evaluate it alongside cost, lead time, on-time delivery, and capacity utilization. Just as businesses forecast and project financial spend at the shipment level before executing transportation activities, TMS systems should enable the projection of carbon impacts before choosing transport modes, routes, or carriers.
This analogy is not just a matter of abstract concepts; it is about real-world investments, strategic partnerships, and the tangible products being developed that are shaping the future of industrial AI. All supply chain vendors seek to position themselves as leaders in supply chain AI. But there is a larger AI ecosystem.
manufacturer I know saw their import costs jump overnight, forcing a rethink of a decade-old sourcing strategy. Traditional procurement, with its long-term contracts and rigid supplier ties, just isnt cutting it anymore. Its not just about pinching penniesits about ensuring business continuity. What Is Agile Procurement?
Once upon a time, the world of manufacturing was a relatively stable place. So how does a manufacturer navigate this rollercoaster? And that’s where real-time perpetual inventory signals come in. According to Gartner , these issues can lead to missed manufacturing deadlines and wasted capital.
The market is voting with us, not just in terms of having common applications on the same platform, but having those applications connected to a network. The consumer goods manufacturing and grocery vertical was also particularly strong. Business Update Mr. Angove characterized fiscal 2024 as a solid year. Last year, it grew to 3.5
Patch & Update Devices: Software manufacturers are constantly discovering new flaws, bugs, and weaknesses in their code. Audit Backup Process: Often times companies think their data is backed up, just to find out the person responsible no longer works there, and no documentation exists to show how to restore their backups.
Scaling manufacturing operations is crucial for business growth but presents unique challenges. Balancing increased demand with consistent quality and controlled costs is difficult but essential for manufacturers looking to expand. Successfully scaling manufacturing requires more than just adding resources.
Just-in-time (JIT) inventory models, lean supplier networks, and offshore manufacturing reduced expenses but left companies exposed to disruptions. Companies are restructuring supplier networks, adopting just-in-case (JIC) inventory models, and implementing AI-driven forecasting to anticipate and mitigate disruptions.
Warehouse optimization isn’t just a buzzword; it’s a lifeline for businesses seeking to thrive in the demanding world of modern commerce. Warehouse optimization isn’t just a buzzword; it’s a lifeline for businesses seeking to thrive in the demanding world of modern commerce. Ready to get started?
But instead of guessing what’s happening, you’ve got real-time insights at your fingertips. That’s the power of manufacturing data collection. It’s not just about collecting numbers it’s about turning those numbers into action. Its the foundation of modern manufacturing efficiency.
Ibrahim Al Syed, the director of digital manufacturing at Celanese, was surprisingly forthcoming about how Celanese developed these capabilities at ARC Advisory Groups 29th Annual ARC Industry Leadership Forum. The company has 55 manufacturing sites across the world. The company runs some plants, and some are operated by third parties.
Let’s take a closer look at how four key industries—automotive, consumer packaged goods (CPG), high tech, and industrial manufacturing—are navigating the tariff rollercoaster and adjusting to the shifting landscape. Automotive businesses can gain a significant edge by implementing real-time scenario planning.
Its advanced demand engine generates a full probability distribution for every SKU-location-time combination, leveraging machine learning and real-time market signals to support smarter, faster decision-making. It isn’t just forecasting demand; they’re orchestrating it. For more available research, please visit [link].
The goal is no longer just resilience – it’s antifragility. Coined by Nassim Taleb, antifragility means getting stronger from shocks, rather than just surviving them. The best supply chains don’t just withstand disruptions – they thrive in uncertainty, using crises as catalysts for improvement.
The Salesforce.com model is primarily a pipeline management tool suitable for discrete markets but not process manufacturers. The models are just too different.) My head is wobbling with announcements, late-night Friday press releases, company name changes, and executive turnover in the supply chain planning market. What happens next?
Patch & Update Devices: Software manufacturers are constantly discovering new flaws, bugs, and weaknesses in their code. Ransom ware has caused $20 billion in losses in just the last year. With more and more triple extortion scams on the rise, organizations need to use a layered defense model to get ahead of cyber security risks.
As a Principal FMCG Supplier, mastering this balance is essential; not just for growth, but for long-term sustainability. Do Embrace Technology and Data : Use real-time data for demand forecasting, inventory management, and route optimization. Urban vs. rural, modern trade vs. traditional trade—each requires a tailored approach.
But in the context of the Shippers Council, the shipper is the cargo owner (or BCO beneficial cargo owner), usually a manufacturer, who contracts with a logistics service provider (LSP), which, in the Councils definition, can be a transportation (land, sea, air) company, an express company, a forwarder, or a full-fledged 3PL.
When data is decoupled from applications, it can be created once and moved seamlessly, in real-time, to where it is needed. This work is supported by a genuinely advanced co-pilot capable of surfacing precisely the information a worker needs, with the proper context, just when needed! SAP recently released a knowledge graph.
After graduating, this love transformed into a fascination for self-driving cars, which was the first time I was introduced to AI/ML. Before pursuing my Master’s, I was a Project Manager in the manufacturing industry, making injection molding machines. Could you tell us a bit about yourself? and Canada.
Those stakeholders include planners; supply chain, manufacturing, and logistics executives; sales and marketing; finance or regional or business unit leaders; and suppliers and other partners. But, how do we think about the decision roles of not just humans but also machines? Their solution is known as Atlas. Pradhan ex-claimed.
I just went live this year with a Fortune 25 company, and their factories book against their orders online. ” Followed by, “We just implemented an end-to-end solution at Unilever; the results are impressive.” Translation of the demand forecast into planned orders to minimize manufacturing constraints.
They want to choose not just the engine type, but also the smart features, infotainment functionality and other characteristics that create a unique driving experience. That capability is accurate, dynamic, real-time forecasting. Today’s consumers expect and demand more customization. For consumers, having so many options is amazing.
Companies are proactively acquiring electric vehicle (EV) manufacturers, battery storage providers, and related infrastructure firms to embed sustainability into their operations. Walmart has partnered with IBMs Food Trust blockchain network to improve supply chain transparency, reducing food recall times from days to seconds.
As you would expect, major emphasis was placed on the role of AI to deliver accurate, timely, and improved decisions at all points of supply chain processes using a combination of human-to-AI agent and agent-to agent collaboration. We are a quarter of the way into the 21 st century and many supply chain practices are still behind the times.
In a previous blog AI and Machine Learning in Manufacturing ERP: Key Benefits , we discussed the benefits of using AI in manufacturing and how it could be enhanced with an ERP system. While manufacturers are keenly interested in using AI, the main question they have is what are the best use cases for AI in ERP?
Resilinc and RapidRatings shared that: A 90-day “pause and raise” tariff scenario led to severe stress in key manufacturing sectors, including aerospace, electronics, and automotive. Financial Health Ratings dropped from Medium to High Risk for suppliers in just three months in a tariff simulation exercise.
And once you add in factors like seasonality, manufacturing constraints, promotions, and new product launches, managing inventory in a spreadsheet becomes not just inefficient, but unrealistic. Not just in dollars, but in lost customer trust and opportunity. These factors demand adaptability and precision.
Material handling and forklift equipment manufacturers, including Hyster-Yale, rounded out the comprehensive showcase of integrated solutions shaping the future of supply chain operations. Designed to boost flexibility, picking speed, and scalability, PopPick Lite caters to fast-moving warehouse environments and space-constrained operations.
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