Siemens Advanta (with evosoft GmbH)
Material flow optimization – Get production transparency and optimize material flows
Background
An increasing number of product variants and procurement items leads to more complex material flows. Manufacturers have to deal with recurring bottlenecks in the production. Planning processes are often complex & inflexible and the optimization effort may disappear after small changes to the plant. Regardless of any disturbances on the production line, shifts in priority in order management, or availability of resources, it is essential to continuously ensure production runs smoothly and in an optimal way.
Version: 1.0
Last updated: 3/2021
Author: AWS
Overview
Dashboards and KPIs tailored to any specific need are created effortlessly using Siemens Industrial Edge in conjunction with the AWS Industrial Machine Connectivity (IMC) Kit, onboarding the assets from the factory floor quickly. On top of that, our flow optimization service portfolio offers adaptable data-driven building blocks for rapid customer value creation:
Production Throughput Inspector
Production Throughput Inspector (PTI) is an adaptable and scalable web application for factory and supply chain analytics incl. KPI analysis & visualization. It provides real-time tracking of material flows and quick identification of unnormal production patterns such as unplanned interruptions. Due to the transparency provided by PTI, a closed-loop optimization process can be established and sustainably managed, process patterns and metrics can be analyzed and continuously monitored.
Advanced Flow
Advanced Flow (AdvFlow) is a cloud-based software solution that addresses advanced scheduling and planning issues in production and logistics. It ensures a seamless material flow and prevents congestion & delays on the assembly line and subsequent production. The material flow is continuously monitored and optimized based on AI and machine learning procedures. AdvFlow helps you to easily adapt the optimization to short-term business and production goals by selecting the respective KPIs.
A typical engagement follows a four-step approach: 1/Align problem and use case; 2/Identify optimization potential to take go/no-go decision; 3/Customer interface integration; and 4/Run the solution as a managed service.
The digital solutions by Siemens Advanta on AWS do not require any changes to the physical asset and automation. Siemens Advanta generates value by combining domain knowledge and skills to forge meaning out of data with the flexible, cheap and scalable computational power that AWS offers. What previously would have taken several hours is now available in seconds to minutes. Adaptable building blocks in combination with AWS allow a fast and scalable deployment of the solutions.
Features
- Production Throughput Inspector (PTI) - Configurable dashboard and various data analytic views provide valuable insights into your manufacturing process performance. The solution provides real-time feedback about throughput bottlenecks and transparency on current production performance. Based on historical data, PTI, e.g., provides out-of-the box long-term trend and context analysis of KPIs, correlation of throughput with production events, analysis of statistical distribution of cycle times, and outlier analysis. We know that the time to integration is a challenge in digitization projects: With our solution, we have focused on easy implementation in your existing infrastructure and data integration via standards such as OPC-UA and HTTP-APIs.
- Advanced Flow (AdvFlow) - The solution allows to continuously monitor and optimize the manufacturing process. AI and machine learning algorithms are used to optimize the material flow on production and logistic lines. Real-time data from asset and order management is used to continuously update optimal schedules and planning. AdvFlow allows to tailor the optimization to suit your business needs by select between flexible optimization goals, weighting of sub-criteria, and switching between optimization goals on-the-fly. The solution can be easily integrated into the current IT and automation landscape without requiring physical changes to the plant.