새로운 프로그램을 위한 혁신적이며, 협업이 가능한 동기화된 프로그램 관리
항공 우주 및 방위
새로운 프로그램을 위한 혁신적이며, 협업이 가능한 동기화된 프로그램 관리산업 자세히 보기
자동차 및 운송
Integration of mechanical, software and electronic systems technologies for vehicle systems산업 자세히 보기
소비재 및 소매업
통합된 포뮬레이션, 패키징 및 제조 프로세스의 효율적인 관리를 통한 제품 혁신산업 자세히 보기
전자 기기 및 반도체
신제품 개발 시 데이터를 활용하여 품질과 수익성을 개선하고 시장 출시 기간을 단축하며 비용 절감산업 자세히 보기
에너지 및 공공 시설
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets산업 자세히 보기
Construction, mining, and agricultural heavy equipment manufacturers striving for superior performanceExplore Industry
산업용 기계 및 중장비
Integration of manufacturing process planning with design and engineering for today’s machine complexity산업 자세히 보기
Insurance & Financial
Visibility, compliance and accountability for insurance and financial industriesExplore Industry
조선 및 해양
미래형 선박(future fleet) 개발 비용의 지속적인 절감을 위한 조선분야의 혁신산업 자세히 보기
Media & Telecommunications
Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.Explore Industry
의료 기기 및 제약
시장 요구사항의 충족과 비용 절감을 위해 디지털화를 통한 "개인 맞춤형 제품 혁신"산업 살펴보기
Faster time to market, fewer errors for Software DevelopmentExplore Industry
Small & Medium Business
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.Explore Industry
Siemens 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
Identification of performance trends
New manufacturing insights that feed continuous process improvement