Artificial Intelligence (AI) Archives

Where AI Falls Short: Why Optimization Still Needs Mathematical Muscle

LLMs excel at pattern recognition, probabilistic reasoning, and generating plausible outputs based on past data. However, real-world supply chain optimization involves: Combinatorial Complexity: Scheduling 100 jobs across 10 machines with constraints on timing, capacity, and precedence can create billions of feasible sequences. LLMs cannot search this solution space efficiently or deterministically. Feasibility Checking: A good …

Allergen-Safe Food Production Scheduling – Case Study

Packaged Food Manufacturing Background Packaged food manufacturing is highly sophisticated with complex multi-line plant layouts, increased order mix, allergen restrictions, and supply chain disruptions. Manually scheduling production using well-worn spreadsheets cannot address such complexity. Eyelit Technologies has the functionality to deal with all the complexity of packaged food manufacturing and will always generate buildable and …

Food & Beverage Plant Increases Utilization w/ APS – Case Study

Food & Beverage Plant Background In Planning and Scheduling, the “devil is in the details” – unless all relevant details of the production environment are accurately modeled and solved, the resulting plans and schedules will be sub-optimal, or even unbuildable. A case in point is a Food and Beverage (F&B) plant with a complex production …

Smart Factory Productivity: Integrated Planning, Scheduling & Analytics

We will be discussing the powerful combination of advanced planning, scheduling, and sequencing with a full MES/MOM capability that includes quality, SPC, IOT, special work requests, factory connectivity, factory analytics/insights and ERP/supply chain system integration. As you read this paper, one provocative thought to keep in the back of your mind is related to your …

Electric vehicles (EVs) have been identified as the centerpiece of future transportation and logistics, providing a greener alternative to traditional fossil fuel-consuming vehicles. There were nearly 5.4 million hybrid electric vehicles on American roads and around 1.4 million full electric “plug in” vehicles, with these figures expected to rise in coming years. So, what does …

Composable APS/MES Solutions for Factory Optimization

Execution always varies from plan. We bake inefficiencies into our planning process by buying insurance in the form of extended order lead time, safety stock, lower planned machine utilization, overtime, expedited freight and premium freight to reduce the risk imposed by this variance. In some cases, we pay penalties in addition to this insurance depending …

How AI-Powered MES Systems Are Revolutionizing Manufacturing Operations

Introduction It’s logical that actionable insights which leverage real time data would drive optimized factory performance. Instant notification of problems, root cause analysis, predictive analytics, and scenario-based prescriptions will result in improved throughput, inventory, and operating expense while delivering on asset utilization, OEE, labor efficiency and order fulfillment. Data remains the constant need for all …

Key Takeaways from the Smart Factory Expo This year’s Smart Factory Expo in Birmingham felt like a turning point. The event was busy, energetic, and packed with ideas, but beneath the noise, a more focused conversation is beginning to take shape in manufacturing. This new undertow, if you like, is less about hype and more …

In manufacturing, a cycle refers to the series of steps that make up the production process. It includes everything from the procurement of raw materials to the finished product being shipped off to customers.

Transformation Starts at the Top

Transformation Starts at the Top Why Leadership Alignment and Strategic System Choices Matter More Than Ever The concept of digital transformation in manufacturing is now a familiar one. But while the language has settled into industry norms, the execution remains inconsistent, and often, disappointing. Why? Because transformation isn’t driven by tools. It’s driven by alignment. …

Where AI Falls Short: Why Optimization Still Needs Mathematical Muscle

Allergen-Safe Food Production Scheduling – Case Study

Food & Beverage Plant Increases Utilization w/ APS – Case Study

Smart Factory Productivity: Integrated Planning, Scheduling & Analytics

Electric Vehicle Production: Fewer Parts, Greater Planning Challenges

Composable APS/MES Solutions for Factory Optimization

How AI-Powered MES Systems Are Revolutionizing Manufacturing Operations

Key takeaways from the Smart Factory Expo

What Is Cycle Time in Manufacturing?

Transformation Starts at the Top

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