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Molex is a global electronics manufacturer that makes and sells over 100,000 distinct products – connectors, cable assemblies, and a wide variety of other products. 18,000 suppliers ship 70,000 different types of parts to 72 Molex manufacturing plants across the globe. The company uses a process monitoring tool called Celonis.
a leading global supplier of mechanical components for the manufacturing industry headquartered in Japan. The manufacturing and supply chain industries are rapidly evolving and increasingly volatile, fueled by shifts in global tariff and trade policy, geopolitical uncertainty, logistics disruptions, and technology developments.
It is not a technology on its own, but rather a process that combines planning, execution, and monitoring through integrated tools and workflows. Orchestration tools help keep everyone working from the same information, reducing the chance of miscommunication between departments or suppliers.
The modern supply chain is a complex network of suppliers, manufacturers, distributors, and customers, all interconnected and reliant on a shared ecosystem of trust and accountability. Key transparency initiatives include: Supply Chain Mapping: Using digital tools to trace the journey of products from raw materials to finished goods.
Continual technological changes necessitate adjustments to manufacturing and supply chain processes, leading to a heavy volume of contracts that outpaces most industries. The high-tech and telecom sectors face a contract management crisis if the process isn’t managed properly. What can CPOs do to ease the contract management burden?
(TSX: KXS) an end-to-end supply chain orchestration, today announced a new partnership that will deliver improved alignment of supply chain plans with business objectives and strategies for midmarket discrete manufacturing companies. Were thrilled to partner with Infor to help manufacturers be more agile and resilient in the long term.
The past year and a half saw manufacturers face unprecedented challenges resulting from global disruptions, to which they responded by repurposing or developing new product lines, reconfiguring their plants and restructuring their supply chains in order to meet changing demands and keep afloat amidst uncertainty.
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. We have complete visibility of the performance of the entire supply chain in one tool. This was meant to be an internal tool for Lenovo.
Apple Intelligence demonstrates a clear push for on-device AI processing, with new AI-driven tools enhancing productivity across their operating systems, with a heavy emphasis on privacy and Edge AI. This puts pressure on other device manufacturers to follow suit.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. 📆 November 20th, 2024 at 11:00 AM PST, 2:00 PM EST, 7:00 PM GMT
All companies and agencies above are heavily investing in technology and tools to deliver packages faster and more efficiently. Companies will become increasingly dependent on digital tools to sort, track, and mitigate issues at the border.
At the recent ARC Forum 2025, Rachelle Howard, Director of Manufacturing Systems Automation and Digital Strategy, showcased how Vertex strategically blends advanced technology with a strong people-focused culture to boost manufacturing and supply chain agility.
Do we have a demand forecasting tool in place and, if so, how good is that forecast? We can use this same method to represent customer orders, suppliers, manufacturing sites, warehouses, transportation assets, and all other agents that you have in your company’s value chain. First comes the data and how well we understand it.
Or they may have expertise in manufacturing processes and have flexible capacity to allow contract manufacturing for new product introduction. An example of this is Vendor Management Inventory and Capacity Collaboration for contract manufacturing.
The sample included 1,931 knowledge workers, or end users, from financial services, healthcare, and manufacturing who are familiar with the analytics tools within their applications.
Running a manufacturing business isn’t easy. That’s where a manufacturing ERP comes in. Manufacturing ERP (Enterprise Resource Planning) software integrates all your core business processes into one powerful platform. It’s a lot to handle. Let’s get started.
AI as a Predictive Tool AI-driven supply chain planning integrates machine learning, real-time data analytics, and external risk monitoring to anticipate disruptions before they materialize. AI-driven procurement tools analyze pricing trends and supplier performance to negotiate better contract terms.
Throughout 2024, manufacturers were on a high-speed journey packed with technological advancements. That pace is set to continue in 2025 as ERP systems continue to transform the way manufacturers operate. An ERP strategy to optimize the potential of the innovations on offer is critical for manufacturers across the globe.
Once upon a time, the world of manufacturing was a relatively stable place. So how does a manufacturer navigate this rollercoaster? According to Gartner , these issues can lead to missed manufacturing deadlines and wasted capital. In fact, recent data shows that manufacturer inventory levels are up nearly 10% year over year.
According to Deloitte and The Manufacturing Institute, the labor shortage will cost the U.S. To combat the effects of the tightening labor market, agile logistics companies are focusing their efforts on adopting tools and processes that drive efficiency and help their operations’ teams tap into shared industry resources.
That’s the power of manufacturing data collection. Manufacturing data collection is your secret weapon for boosting efficiency, cutting waste, and staying ahead of the competition. Manufacturing data collection is your secret weapon for boosting efficiency, cutting waste, and staying ahead of the competition.
manufacturer I know saw their import costs jump overnight, forcing a rethink of a decade-old sourcing strategy. A Fortune 500 retailer, for instance, reduced its procurement cycle time by 30% by leveraging an AI-driven tool to analyze supplier data efficiently. For example, U.S.-based
Leverage Data Analytics for Demand Forecasting Advanced analytics tools can predict customer demand and help you optimize inventory. Key features: Real-time inventory tracking Automated order routing Labor management tools Performance analytics Integration with other systems including mobile barcoding and RFID.
When a critical Tier-2 supplier is affected by a tariff policy change or regional shutdown, the ripple effects often catch manufacturers by surprise. When a new tariff is proposed, companies using AI-based forecasting tools are often able to adjust their sourcing or logistics strategies well before the policy takes effect.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Don’t get left behind—embrace the future of manufacturing with the right balance of technology and human innovation.
They integrate, align, and activate data across the business to drive better, faster decisions unlike legacy reporting tools that can’t. Compatibility with Other Tools Seamless integration with Power BI, Excel, and other applications for further data exploration in familiar environments.
Many carbon tracking tools are built to track single-party data and dont integrate into the carrier network, hence lacking the network effect and limiting the scope and accuracy of data. At Pledge, we believe that technology is a powerful catalyst in the fight against climate change, said David de Picciotto, CEO and co-founder, Pledge.
With enforcement delayed until December 2025, businesses have time to integrate this tool, which streamlines data collection, geospatial analysis, and compliance verification. A key supply chain challenge is securing a steady, cost-effective supply of iron, the core material of the batteries.
They emphasized being an Industry Cloud Complete Company with industry-specific solutions for over 2000 micro verticals across Process Manufacturing, Distribution, Service Industries, and Discrete Manufacturing. iPaaS provides a comprehensive set of tools for connecting applications. RPA automates manual and repetitive tasks.
Over the past few years, manufacturing has had to adapt to and overcome a wide variety of supply chain trends and disruptions to stay as stable as possible. But what do these really mean today? Stability has become key in this post-COVID world, and will remain key moving forward.
In manufacturing, performance improvement, cost reduction and process optimization are crucial. Manufacturers have adopted innovative solutions and technologies to deal with these issues. There is no question that AI and ML will have important roles in shaping the future of manufacturing ERP. What is AI and ML?
For more information about LeadCoverage and its suite of supply chain, manufacturing, and logistics – focused marketing, public relations, and analyst relations services, please visit LeadCoverage’s website.
It is a brilliant tool.” They also cover supplier managed inventory, quality collaboration, manufacturing line collaboration, and asset collaboration. The solution breaks down spending by categories and derives “new subcategories that we didn’t know even existed. My advice,” he concluded, “is just jump in.
In todays rapidly evolving global landscape, supply chain resiliency has become paramount for product manufacturers striving to maintain a competitive advantage and ensure long-term success. This statistic is a stark reminder to product manufacturers of the necessity to anticipate and mitigate potential disruptions.
In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way.
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?
Companies are proactively acquiring electric vehicle (EV) manufacturers, battery storage providers, and related infrastructure firms to embed sustainability into their operations. Predictive analytics tools enabled by AI are helping organizations optimize inventory management, reduce downtime, and improve demand forecasting.
In the fast-paced world of smart manufacturing, making quick, accurate and informed decisions is essential. Real-time decision-making, powered by artificial intelligence (AI) , is revolutionizing smart manufacturing processes. That said, manufacturers need to take several steps to successfully enable these technologies.
The Salesforce.com model is primarily a pipeline management tool suitable for discrete markets but not process manufacturers. Relex will continue to do well in the retail market but will struggle to be a serious player in manufacturing due to the lack of thought leadership. Will this change the market? I don’t think so.
For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. Are evaluating tools and implementation approaches. Want a high level understanding of typical use cases for mathematical optimization.
In todays rapidly evolving manufacturing landscape, building a modern tech stack is not just a strategic advantage but a necessity for maintaining competitiveness. EMBRACING INTERCONNECTIVITY: SEAMLESS INTEGRATION IN MANUFACTURING TECH Interconnectivity is a cornerstone of a modern manufacturing tech stack.
These AI tools allow companies to respond faster and more effectively to unexpected events. Ford, for instance, has implemented tools to identify potential risks such as component shortages before they impact production lines. It has become a critical tool for proactively managing risk and improving operational performance.
Supply chains, which facilitate the movement of products from manufacturers to consumers, have historically encountered issues such as inefficiency, fraud, and a lack of transparency. As Mediledger states The life sciences industry is uniquely complex in how pharmaceutical drugs move from manufacturers to serving patients.
Manufacturers are shifting to on-demand production to align output with real-time demand. Powered by digital tools, on-demand strategies offer a cleaner, more responsive path to production. Powered by digital tools, on-demand strategies offer a cleaner, more responsive path to production. Warehousing becomes a sunk cost.
What should manufacturers do to incorporate cellular tools into their supply chains? Why is cellular the best option for a digital supply chain? How are technology and infrastructure advances further improving the cellular-powered digital supply chain?
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