Accelerate
Engineering-to
-Production
Execution

Product complexity is rising, while manufacturers are expected to improve speed, quality, and agility without compromising execution. By modernizing and connecting engineering, enterprise, and production systems, manufacturers can speed change adoption, reduce rework, and improve shopfloor performance at scale.

Hitachi Digital Services connects PLM, ERP, cloud, and MES/MOM to turn engineering intent into production-ready execution. Backed by our Digital PLM Playbook, Smart Manufacturing accelerators, and extensive experience in industrial environments, we help manufacturers reduce friction, improve readiness, and scale execution with confidence.

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Accelerate Engineering-to-Production Execution
Challenge & Opportunity

Modernize Without Disrupting Production

Manufacturers are upgrading PLM, production systems, and automation stacks while managing aging OT environments, fragmented operational data, and increasing product variability. Too often, engineering changes move too slowly into production or create instability once deployed. The opportunity is to modernize the engineering-to-production flow without sacrificing execution.

With better data continuity, stronger system alignment, and more responsive production environments, manufacturers can adopt change faster, maintain quality, and improve performance at scale.

Solution
Connected Solutions for Modern Engineering and Production
We help manufacturers strengthen the engineering-to-production lifecycle across four critical areas: Digital PLM and Digital Thread, production-ready execution, Digital Twins, and production automation. Together, these solutions improve traceability, accelerate change adoption, and turn engineering transformation into measurable shopfloor performance.

Connected Product and Process Definition

Modern PLM and Digital Thread foundations ensure engineering intent flows seamlessly into production, improving traceability, reducing rework, and accelerating time-to-production readiness.

Connected Product and Process Definition
  • Lifecycle Visibility
    Connect product, process, and quality data across PLM, ERP, and MES to ensure traceability from design through execution
  • Change Control
    Improve engineering change management to reduce late-stage disruptions and support consistent adoption across production environments
  • BOM Alignment
    Align BOM, MBOM, and routing data across systems to eliminate gaps between engineering and manufacturing workflows
  • Compliance Readiness
    Maintain structured digital records that support audit, regulatory compliance, and consistent lifecycle documentation
  • Enterprise Integration
    Integrate PLM with ERP and production systems to improve data consistency and synchronized execution
  • Cloud Scalability
    Enable scalable engineering environments through cloud-based PLM, data platforms, and collaboration tools

Production-Ready Engineering Systems

We connect engineering systems directly to production environments, reducing delays, improving readiness, and ensuring execution remains stable when new products or changes reach the factory.

Production-Ready Engineering Systems
  • Production Readiness
    Reduce delays between design change and execution by aligning engineering outputs with production workflows and plant constraints
  • MES Integration
    Connect engineering systems with MES/MOM to ensure accurate execution of product definitions and process requirements
  • Execution Stability
    Improve consistency by ensuring production systems operate with validated and synchronized engineering data
  • Data Continuity
    Maintain continuity between PLM, ERP, and MES to eliminate manual handoffs and reduce execution errors
  • Change Adoption
    Accelerate adoption of engineering changes across plants without disrupting throughput, yield, or quality performance
  • Operational Alignment
    Ensure engineering, enterprise, and production teams work from a consistent, real-time view of product and process data

Predictive Production Performance

Digital Twins enable manufacturers to simulate, predict, and optimize production outcomes – improving yield, reducing variability, and stabilizing performance before disruptions occur.

Predictive Production Performance
  • Predictive Insight
    Forecast throughput, yield, and performance outcomes to proactively manage production variability
  • Scenario Testing
    Simulate process changes before implementation to reduce risk and improve decision confidence
  • Yield Stability
    Improve consistency by identifying process drivers and reducing variability across production lines
  • Root-Cause Clarity
    Strengthen analysis by linking Digital Twin insights with MES and operational data
  • Performance Optimization
    Continuously refine production performance through model-driven insights and feedback loops
  • Energy Efficiency
    Optimize production processes to reduce energy consumption and improve sustainability outcomes

Throughput, Safety, And Consistency

We align automation, robotics, and production optimization with engineering and operational data to improve throughput, reduce operator burden, and enhance safety.

Throughput, Safety, And Consistency
  • Throughput Improvement
    Increase production capacity and reduce cycle time through optimized automation and robotics deployment
  • Operational Safety
    Reduce manual exposure in high-risk or repetitive tasks, improving operator safety and working conditions
  • Process Efficiency
    Eliminate bottlenecks and reduce losses through production optimization aligned to line constraints
  • Execution Consistency
    Improve repeatability and quality by standardizing automated workflows across production environments
  • Scalable Deployment
    Extend automation improvements across plants using repeatable architectures and integration models
  • Data-Driven Control
    Align automation systems with MES and operational data for better monitoring and continuous improvement

Additional Solutions

Cloud & Enterprise Modernization

We modernize hybrid and enterprise systems with cloud architectures, Site Reliability Engineering (SRE), and HARC operations.

Cybersecurity for IT–OT Environments

We secure connected plants with zero-trust architectures and ISA/IEC 62443-aligned controls.

Data, AI & Industrial IoT

We deploy industrial data models, domain ML libraries, and accelerators used across Hitachi’s global factories.

Customer Story

Orthofix Transforms Product Innovation with PLM Transformation

Unified product data, automated compliance workflows, and improved product release cycles.

Orthofix Transforms Product Innovation with PLM Transformation
Customer Story

Rail Manufacturer – Autonomous Inspection

80–90% faster inspections and 15% higher quality performance using computer vision.

Rail Manufacturer – Autonomous Inspection
Customer Story

Logan Aluminum’s Data Platform Transformation

Digital transformation harnesses data to deliver better products to customers.

Logan Aluminum’s Data Platform Transformation
Customer Story

Digital Manufacturing for Off-road Division of Asian Tire Manufacturer

Digital Shop Floor solution to trace the movement of materials in real time.

Digital Manufacturing for Off-road Division of Asian Tire Manufacturer
How We Work

A Single Transformation Model for Engineering and Factory Operations

 

Advisory

PLM, MES/MOM, and Industry 5.0 strategies

Implementation

Digital Thread, MES, IoT, automation, AI

Transformation

PLM modernization, global MES rollout

Managed Services

HARC operations, MES support, cloud reliability

Continuous Improvement

Predictive analytics, optimization, AI enablement

Why Hitachi Digital Services
  • Deep ET–IT–OT capabilities and operational factories
  • Proven frameworks: Digital PLM Playbook, MES accelerators
  • Industrial AI models tested in rail, energy, and manufacturing
  • Strong global delivery and engineering depth
  • Proven solutions: Lighthouse-grade innovation across 200+ Hitachi factories.
  • Recognized by ISG as a Product Challenger in Manufacturing Services and Solutions Read the report
Our Experts Our Experts
Our Experts
Anupam Bhatnagar
Anupam Bhatnagar
Head of Manufacturing & Consumer Industries
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Sankar Natarajan
Sankar Natarajan
Practice Head, Digital PLM & Smart Manufacturing
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Ajay Thakur
Ajay Thakur
Head of Process Manufacturing
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Ram Chivukula
Ram Chivukula
Head of Discrete Manufacturing
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Partners

INSIGHTS

The Value of an Integrated ET-IT-OT Approach Insights

The Value of an Integrated ET-IT-OT Approach

The AI Revolution in Manufacturing: How to Lead the Charge Insights

The AI Revolution in Manufacturing: How to Lead the Charge

The Future of Digital PLM - How AI and Digital Thread are Redefining Product Development and Operations Insights

The Future of Digital PLM - How AI and Digital Thread are Redefining Product Development and Operations

FAQ

PLM modernization improves how product and engineering data is created, governed, and updated – including configuration, change control, and traceability. Digital Thread connects that product definition across engineering, manufacturing, and service workflows. Digital Twins use real-time operational and engineering data to simulate and optimize production performance. Together, they enable faster decisions, better traceability, and more stable execution across the manufacturing lifecycle.

Engineering transformation delivers value when it improves how changes move into production. By connecting PLM, Digital Thread, and MES/MOM systems, manufacturers reduce delays, improve traceability, and enforce quality at the line level. This reduces late-stage rework caused by inconsistent data and ensures engineering changes are adopted without disrupting throughput, yield, or schedule performance. The outcome is faster production readiness and more reliable execution.

MOM/MES modernization improves how production is executed and controlled in real time. It ensures engineering changes are accurately applied on the shopfloor and improves responsiveness to issues. This includes better production tracking, improved work-in-process visibility, integrated quality checkpoints, and faster exception management. The result is higher first-pass yield, fewer execution losses, improved schedule adherence, and clearer insight into performance drivers.

ISA-95 provides a structured framework for integrating enterprise systems (ERP), manufacturing operations (MOM/MES), and control systems (SCADA, PLCs, historians). This avoids fragile point-to-point integrations and enables scalable, repeatable architectures across plants. It supports reliable data flow between systems, enabling closed-loop execution, consistent operations, and faster root-cause analysis across production environments.

SCADA and historian data becomes valuable when it is contextualized and governed. Raw signals alone often create noise and unreliable insights. By integrating this data with MES/MOM, engineering definitions, and asset models, manufacturers can enable condition monitoring, quality correlation, and performance analysis. This improves signal-to-decision quality and reduces false alarms or untrusted dashboards.

AI delivers value when it is embedded into production workflows – not treated as a standalone initiative. Common use cases include anomaly detection, predictive process control, quality inspection, and operator decision support. When integrated with MES/MOM and engineering systems, AI improves early issue detection, stabilizes production processes, and enhances quality. With proper data governance and model reliability, these improvements scale consistently across plants.