Different Types of Intelligent Production Planning Systems

Intelligent Customers Demand Intelligent Solutions One way to define intelligence is the ability to predict the outcome of different circumstances and/or construct a scenario to get the desired outcome. If all the situations are pre-defined and outcomes are pre-established then this would require little or no intelligence. Intelligent systems have two traits in common: their …

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Metaverse of Supply Chain Planning

What is a Metaverse? Metaverse is the convergence of physical and digital. It is a virtual reality that creates real experiences that are driven by one’s own actions. A horror movie is a digital form of producing physical experiences. However, the subject has no virtual or physical interaction or control over their experience. To this …

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How Fabless Semiconductor Manufacturers Reduce Cycle Times with Planning

Reduce Lengthy Cycle Times and Respond to Change Quickly The Fabless Semiconductor industry achieves high growth rates and superior return on assets by outsourcing practically all of its manufacturing needs. While not having in house manufacturing frees a company from the burden and expense of having to invest in expensive capital equipment, it brings a …

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AI and ML Technologies Powering Supply Chain

Artificial Intelligence and Machine Learning are revolutionizing supply chain management by enabling smarter, more responsive, and adaptive planning systems. As supply chains become increasingly complex and dynamic, traditional planning methods struggle to keep pace with the demands of modern business environments. This article explores the cutting-edge AI and ML technologies that are transforming supply chain …

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Attribute Based Planning in Action

I Want My Latte Medium, Extra Hot With No-Fat Milk – ABP in Action Attribute Based Planning (ABP) is all about choices. It is about selecting what you want exactly the way you like it, i.e. customization as we know it today. First a simple question: how many possible combinations are there for a simple …

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Why Attribute Based Planning is essential

What is Attribute-Based Planning? Did you know that there are more attributes than pronouns? They allow us to describe how we feel, what we want and describe our preferences. Think about anything that you buy from grocery shopping to electronics or clothing items, we ask for certain properties such as fresh, high resolution or soft …

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Global Semiconductor ATP Order Planning – Case Study

Case Study Summary A global semiconductor company with revenue exceeding $10 billion faced critical operational challenges in managing supply chain planning during periods of high demand volatility. The company’s existing ERP-based planning system performed adequately when supply exceeded demand but failed significantly during demand explosion periods, unable to implement complex allocation rules or provide reliable …

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Seagate Data Storage E2E Planning Solution – Case Study

Case Study Summary Industry: Electronic Data Storage Technology (Hard Disk Drives and Storage Solutions) Location: Global operations with 575 sites for raw materials, WIP and finished goods across multiple countries including Ireland, Thailand, China, and other locations Challenges: Seagate operated a complex vertically oriented supply chain with 575 sites but lacked an effective system to …

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Sarepta RNA Therapy Pharma Production Planning – Case Study

Case Study Summary Sarepta Therapeutics, a pharmaceutical company specializing in RNA and gene therapy manufacturing, operates in one of the most complex and regulated supply chain environments in the industry. The company faced significant operational challenges with manual planning processes, lack of systematic planning logic, and excessive data collection requirements that diverted key personnel from …

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Samsung Electronics Network Supply Planning – Case Study

Case Study Summary Samsung Electronics’ Network Division, a global technology manufacturer with more than 2,300 employees generating US $1.3 billion in revenues, provides high-quality infrastructure solutions for telecommunications networks across 46 countries. The division faced significant operational challenges including late order changes causing production delays, poor order visibility, excessive inventory levels, supply shortages, and lengthy …

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