AWS for Industries

Category: Technical How-to

Improving manufacturing field-distribution planning with a supply chain data lake

The Challenge Manufacturers that distribute products and manage inventory at many geographically dispersed sites struggle to predict replenishment timing and quantity accurately. For example, chemical manufacturers bound to vendor-managed inventory agreements make truck rolls to thousands of remote tank sites either when the tank is already empty (too late) or when the tank level is […]

Sustainability Reporting Considerations for the Semiconductor Industry

Introduction The Semiconductor Industry is working to establish Environmental, Social, and Corporate Governance (ESG) standards with the help of science-based targets. According to the Science Based Targets (SBT) Initiative (SBTi), “SBTs provide a clearly defined pathway for companies to reduce greenhouse gas (GHG) emissions, helping prevent the worst impacts of climate change and future-proof business […]

Economics of EDA on AWS: License Cost Optimization

Introduction Electronic Design Automation (EDA) workloads have traditionally run on-premises on a combination of latest and older generation compute servers. The performance penalty of running Electronic Design Automation (EDA) on older generation hardware is often neglected in discussions and Total Cost of Ownership (TCO) models. With EDA license costs greatly exceeding IT spend in silicon […]

Cloud-Native NFV Orchestration on AWS

With mobile traffic increasing almost 10% quarter-by-quarter (Ericsson Mobility Report) and technology evolving at a fast pace, communication service providers (CSPs) are under pressure from multiple dimensions. Some of the challenges are as follows: Cost Savings (TCO) and productivity: The increase in traffic corresponds to higher bandwidth and processing capacity requirements. With the proliferation of […]

Predict the cost of Electronic Design Automation on AWS using simulation

Introduction Designing semiconductor requires High Performance Computing (HPC) to run Electronic Design Automation (EDA) tools. These workloads vary over time in both the amount and type of compute resources required. This makes it an ideal workload for the elasticity of the cloud. Customers choose optimal instance types to optimize each tools runtime. This reduces time-to-results […]

Getting Started with the Industrial Data Platform on AWS

Data is the key enabler to digital transformation and Industry 4.0. Manufacturers can use data to realize a single view of operations and derive operational insights. These insights can be used to improve production quality, make real-time prediction, and generate cost savings. Big Data analytics techniques can provide new capabilities related to measuring performance, maintenance, […]

Develop and deploy a customized workflow using Autonomous Driving Data Framework (ADDF) on AWS

Autonomous vehicles (AV) must be driven hundreds of millions of miles – and sometimes hundreds of billions of miles – to demonstrate their reliability in terms of fatalities and injuries. There is a need for alternative methods to supplement real-world testing including virtual testing and simulations, mathematic modeling and analysis, and scenario and behavior testing. In this […]

Industrial Personnel & Hazard Tracking with Amazon Location Service

Introduction Hot work is defined as any operation that could be an origin of ignition in an environment with flammable materials. According to the U.S. Chemical Safety and Hazard Investigation Board (CSB), hot work is one of the most common causes of worker death. It is also leading cause of industrial fires. A hot work […]

Integrating OPC UA machine events into the Amazon Virtual Andon solution

Introduction In modern IT, everybody speaks about microservices and integration between different systems. But when we look at the shop floor, the reality is that there are a lot of different protocols depending on the machine vendor. Even when the protocol is well understood, there is still a need to implement protocol-specific adapters to convert […]

Architecture diagram showing how CPE telemetry and metadata can be sent to AWS to generate insights

Turning TR-069 bulk data into insights with AWS IoT Core and analytics services on AWS

Communications service providers (CSPs) often manage millions of customer premises equipment devices (CPEs) to provide services to their customers. These devices come in different types depending on the underlying communications technologies. Cable modems and xDSL modems, set-top boxes, and wireless routers are some examples of equipment types we see in customer environments. To manage those […]