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Flex AI to Support Manufacturing Flow Flex uses artificial intelligence to improve production quality and efficiency in electronics manufacturing. By analyzing process data, the system can adjust test sequences and predict where quality issues might arise.
Solvoyo has a metric they call the user acceptance rate. This metric measures the percentage of time the planners accept replenishment, transportation, or inventory plans as they are without any change in the timing of the delivery or the quantity to be delivered. You manufacture stuff. It is a “continuous feedback loop.”
Transportation, warehousing, and manufacturing collectively contribute significantly to carbon emissions, making these areas critical for meaningful change. Similarly, investing in renewable energy can reduce operating costs while enhancing air quality and benefiting local communities.
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.
When a critical Tier-2 supplier is affected by a tariff policy change or regional shutdown, the ripple effects often catch manufacturers by surprise. Its not replacing human judgment, but it is improving the quality and speed of that judgment. Metrics must reflect the new priorities. Procurement is another area seeing change.
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.
The ability to ensure product quality is the cornerstone of a manufacturer’s success. By integrating quality into every step of the manufacturing process, companies can cut the production costs associated with rework and scrap, as well as lower the risk of recalls and potential litigation over defective products.
Much has been done to improve manufacturing efficiency. As the common linchpin that brings together all manufacturing activities, has this metric improved along with all the investment in new technologies? This is usually measured by improved output (for the same cost), less downtime, or as a lower cost of quality.
In the automotive sector, manufacturers are simultaneously reducing inventory costs and delivery times. We’ll examine the key components of efficient supply chains, explore essential performance metrics, and uncover the fundamental drivers that influence efficiency.
Editor’s Note: This is the first in a three-part series on Supplier Quality Management processes and how to evaluate your suppliers from Chuck Intrieri of The Lean Supply Chain. In fact, we are introducing our newest blog category so you may easily read all supplier quality management type posts here. . Cost of quality.
According to my research, top-performing supply chains possess three very different qualities. A supply chain that produces products at the same cost, quality and customer service given the level of demand and supply volatility. Reward teams for cross-functional metrics. Focus functional metrics to improving reliability.
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. Can I have an industrial Google at a manufacturing facility?
Advanced planning evolved with a focus on modeling manufacturing constraints. Watermelon Metrics Don’t Drive The Right Results. I love the metaphor of watermelon metrics. The issue is that traditional functional metrics drive underperformance—the greater the variability, the larger the gap. Over time, this changed.
Quality management is one of those things that you only realize the importance of when it does not work. When quality controls are on track, they improve efficiency and cost, and things hum along. But when they go awry, quality issues can drive up material and labor costs, threaten margins, and result in missed orders.
Establish systematic checks for inventory counts, order accuracy, and quality control. Regular audits help identify discrepancies, maintain data integrity, and ensure compliance with industry regulations and quality standards. Which warehouse performance metrics should be tracked?
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?
Supplier Performance: Evaluate your vendors’ reliability, quality, and delivery times. Managing raw materials effectively is also critical in this strategy to ensure product quality and efficiency at every stage of the supply chain. Analyzing performance trends helps you find areas to improve across your supply chain.
In this final blog on agility and why you should consider becoming an agilist to survive the new completion (of the continuous mention) of the application of enterprise decision management systems (EDMS) from Taylor and Raden cited in the first blog, I turn to the metric of agility and a new ROI metric of decision yield.
Frank, the line manager for manufacturing, dominated the meetings. Despite goals to improve agility and resiliency, functional metrics for manufacturing efficiency continually throw the supply chain out of balance. Strong manufacturing organizations do not make the most effective manufacturers.
For organizations layered in functional metrics and driving a cost agenda, this is a tough nut to crack. A planning master data layer measures and tracks shifts in lead times, conversion rates, and quality. The average brand owner outsources 28-35% of manufacturing, but most coordinate using only spreadsheets and email.
From retail and food and beverage to manufacturing and life sciences, companies from a wide variety of industries are realizing the benefits of the technology, revolutionizing how they operate, collaborate, and generate value. Manufacturers use cloud technology for predictive maintenance, production planning, and supplier collaboration.
The widespread supply chain disruptions that happened when the global pandemic hit in 2020 highlighted several important lessons regarding manufacturing and supply chain visibility. Powered by the 3DEXPERIENCE platform, DELMIA takes a model-based, data-driven approach by connecting the virtual and real worlds of manufacturing and operations.
Forward-thinking organizations have transformed the department into an untapped gold mine that creates value for the entire end-to-end manufacturing process—from design and sourcing to production and delivery. Our latest e-book, “ Is Manufacturing Missing Out On Procurement’s Value Add? Here are some key insights from the e-book.
SCM is focused on efficiency, throughput, and resilience across a much wider operational footprint and requires coordination between manufacturing, logistics and supply chain, and demand planning teams to ensure timely fulfillment and quality assurance. on-time delivery, quality), contract compliance rate, and forecast accuracy.
Keeping track of all your moving parts in manufacturing is a tall order. That’s where manufacturing inventory management software comes in. In this ultimate guide, we’ll break down everything you need to know about manufacturing inventory management software. Spreadsheets just don’t cut it anymore.
Contract manufacturing or 3PL data often will have a 24-hour latency due to batch integration. When they built the project, they did not realize that they did not have access to daily data daily for their third-party warehouses and contract manufacturing locations. Quality data. 2) Latency. 3) Granularity. Master data.
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.
Overcoming the challenges of making company-wide manufacturing operations more customer-driven requires a clear definition of success. Accurate, real-time production visibility improves product quality, order accuracy, and customer satisfaction while driving down manufacturing costs at the plant level.
Much has been done to improve manufacturing efficiency. As the common linchpin that brings together all manufacturing activities, has this metric improved along with all the investment in new technologies? This is usually measured by improved output (for the same cost), less downtime, or as a lower cost of quality.
A supply chain event can have a massive impact on operations and production quality and leave customers in the lurch, impacting customer satisfaction, revenue, and profits. For example, consider the challenges in the automotive industry that stem from the supply chain issue in chip manufacturing. Tracking the Metrics that Matter.
Supplier Collaboration: Fundamental to Elevating Manufacturing Performance Supplier relationships are at the heart of manufacturing performance. That’s why supplier collaboration—that consistent, trusted, and responsive interaction between supplier and manufacturer—is pivotal to manufacturing success.
How can manufacturers manage disruption and improve productivity? By using advanced analytics for manufacturing, to understand the valuable information concealed within the data they already have! Therefore, manufacturers must continually look for new ways to improve the productivity and profitability of their operations.
How can manufacturers manage disruption and improve productivity? By using advanced analytics for manufacturing, to understand the valuable information concealed within the data they already have! Therefore, manufacturers must continually look for new ways to improve the productivity and profitability of their operations.
If you’re a product developer, manufacturer, or part of an engineering team, you know the excitement, challenge, and profitability that come from transforming an idea into an actual product. However, one crucial caveat to all this growth and opportunity is that—you need to follow industry compliance guidelines and deliver on quality.
Automation is at the center of modern manufacturing businesses, with companies exploring the possibilities of artificial intelligence in improving workflows and profitability. Industrial engineers incorporate these technologies in designing and fabricating advanced manufacturing systems. How AI Is Changing the Manufacturing Industry.
When we think about the critical requirements for a manufacturer to succeed, productivity, quality, and inventory management immediately jump to mind. But another factor can play an equally strong role in making or breaking a manufacturing business: communication. Strengthen quality. Boost employee morale.
Supply chain reports are data-driven documents that provide key metrics and insights into various aspects of your supply chain, including: Inventory Levels Tracking stock levels in real-time to ensure adequate inventory to meet demand while minimizing holding costs. What are Supply Chain Reports? defects, damage, non-conformance).
Consider the example of a large consumer goods manufacturer and distributor managing more than 80,000 locations. Minimize Manual Forecasting Adjustments : For this manufacturer, planners dont touch the forecast, focusing instead on strategic oversight. Performance tracking is another critical element in fostering adoption.
And the manufacturing sector is no exception. In fact, the National Association of Manufacturers (NAM) observes that by “leveraging data and enabling greater efficiency, AI in manufacturing will improve communication, increase collaboration across disciplines, and stimulate innovation.” Improve machine yields and rates.
ERP is a broad term that encompasses the financial, manufacturing and distribution capabilities of a company. However, the success of an ERP system largely depends on the quality of its master data. That’s where regular quality checks come into play, forming an indispensable part of your data management (MDM) processes.
Faced with continuing inflation, manufacturers are seeking strategies to contain per-unit costs while maintaining margins. Compounding the challenge are information gaps across supply chains that can cost manufacturers lost time, productivity, margin erosion, price reductions, and missed shipment dates.
The role that procurement plays in manufacturing organizations is a difficult one. This function must simultaneously balance cost reduction, quality, and assurance of supply in their quest to maximize profits. . Procurement needs digitization at its core to enable automation, efficiency, and innovation within the supply chain.
The award, based on beating the industry peer group on rate of improvement on the key metrics of growth, operating margin, inventory turns, and Return on Invested Capital (ROIC) while outperforming their peer group, is tough to achieve. Based in Paris, L’Oréal is a global personal care manufacturing company.
One of my favorite interviews on this topic, that I recently completed for my upcoming book Metrics That Matter , was with Amway’s Chief Supply Chain Officer George Calvert. The path I took came through R&D where I had many different roles including R&D management and quality assurance.
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