革新的でコラボラティブ、かつ連携した新規プログラムの管理
Heavy Equipment
Construction, mining, and agricultural heavy equipment manufacturers striving for superior performance
Explore Industry中堅・中小企業
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.
Explore IndustrySiemens Digital Industries Software Manufacturing Intelligence
Manufacturing Intelligence or Enterprise Manufacturing Intelligence (EMI) is a software solution that pulls together data from diverse sources across a manufacturer’s operations, then produces reports, analysis, dashboards, and other useful tools that help enhance manufacturing performance.
Data sources for Manufacturing Intelligence include Enterprise Resource Management (ERP) and other business systems, plus the systems that make up the Manufacturing Operations Management (MOM) ecosystem: Manufacturing Execution System (MES), Quality Management System (QMS), Advanced Planning and Scheduling (APS), and Formula Design and Specifications Management.
Manufacturing Intelligence software generates a unified, accessible analytical data model, giving manufacturers the ability to explore contextualized data and gain insights into actual manufacturing operations in comparison to engineering plans and product designs. That is, it generates an as-produced Digital Twin that provides a direct point of comparison to the planned Digital Twin of Product and Process.
Enterprise Manufacturing Intelligence software is a key component of Closed-Loop Manufacturing (CLM): it provides both near-real-time visibility of manufacturing operations and deeper insights that can be fed back to design and engineering teams to support continuous process and product improvement.
Architectural setup - Enterprise Manufacturing Intelligence is based on a modern architecture that supports levels of data visibility and analytical capabilities, centralized or distributed deployment flexibility, and options for on-premises or cloud-based operations.
Data exposition - Context-driven data navigation and openness in the selection of visualization tools make it easy for each stakeholder to retrieve needed information quickly.
Data management - Applying the ISA-95 international industry-standard Manufacturing Analytical Model (MAM), Manufacturing Intelligence creates a Manufacturing Data Warehouse (MDW). Third-party software can connect to the MDW and retrieve data. MDW also supports analyses of production operations down to the IoT level.
Engineering/configuration - Enterprise Manufacturing Intelligence enables the preparation of manufacturing data for analyses and scenario creation for development, testing, quality assurance, or production operations.
Manufacturing Intelligence improves collaboration and data exchange between manufacturing operations and enterprise systems, whether at the level of an individual plant or across all a manufacturer’s facilities. Users gain a more complete perspective on manufacturing operations.
Near-real time visibility
Remote access
Identification of performance trends
Improved analysis
New manufacturing insights that feed continuous process improvement