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MESA International's 'Where Manufacturing Meets IT' blog is written by MESA
Working Groups and Members. Topics include how and why to use IT in
Manufacturing, Smart Manufacturing, MES/MOM, analytics and much more.




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MONDAY, JANUARY 15, 2024


LAYING THE GROUNDWORK: CURRENT STATE ANALYSIS & UNDERSTANDING THE COMMUNICATION
LANDSCAPE - PART 1



Laying the Groundwork: Current State Analysis & Understanding the Communication
Landscape

By Harneet Gill, MESA Marketing Committee Chair, Rockwell Automation

In the modern manufacturing landscape, the synergy between shop floor operations
and enterprise systems is the linchpin of a truly connected, intelligent
production environment. At the foundation of this ecosystem, automation and
control systems gather the vital signs of the manufacturing processes, but their
true potential is harnessed only when this data informs the broader
organizational objectives facilitated by ERP and MES. 

Achieving this level of integration is not without its challenges, requiring a
robust framework and adherence to industry best practices. In this blog post,
we'll cover the blueprint and strategy for assessing your current state and
building fundamental knowledge to streamline communication between automation
and control systems and enterprise business systems. 







Laying the Groundwork: Current State Analysis 


Catalog Existing Systems and Infrastructure:
 * Inventory Hardware: Detail all automation and control system hardware,
   including PLCs, DCSes, HMI/SCADA, sensors, controllers, and communication
   infrastructure.
 * Document Software: Record automation and control system software versions,
   ERP, MES, QMS, and other enterprise business systems, databases, and any
   legacy or third-party applications in use.
 * Network Topology: Create a detailed map of how devices and systems are
   interconnected and communicate.

Data Flow and Storage Analysis:
 * Determine how data currently flows through your systems, from acquisition at
   the edge to storage and display.
 * Assess current data storage capacities, retrieval speeds, backup solutions,
   and impending scalability issues.

Evaluate Current Data Structures:
 * Examine the structure of the data generated by the automation and control
   systems.
 * Compare this to the input requirements of ERP, MES, QMS, and other enterprise
   business systems to identify potential incompatibilities or transformation
   needs.

Identify Communication Protocols:
 * Document the communication protocols currently in use (e.g., Modbus,
   Profibus, OPC UA, etc.).
 * Understand any limitations or incompatibilities these protocols might pose
   for broader system integration.
 * Analyze the data processing capabilities to handle increased data flows
   post-integration.

Assess System Health and Maintenance:
 * Review maintenance logs and downtime incidents.
 * Conduct a vulnerability assessment to gauge system health, identify potential
   points of failure, and understand current system resilience.

Cybersecurity:
 * Assess vulnerabilities associated with internal and external networks,
   integrations, and interfaces.
 * Review any vulnerabilities associated with specific automation and controls
   software applications.
 * Understand the current state of data accuracy, data integrity, and data
   access and vulnerability.

Understanding the Communication Landscape
Edge Layer: At the edge, data is raw and often vast in quantity. Sensors,
control systems, and local edge devices are responsible for collecting real-time
data regarding machine status, product quality, environmental conditions, and
operator interactions. Examples include temperature readings, machine operating
states, energy consumption metrics, vibration levels, and much more.


Data Characteristics at Edge:
 * High granularity and frequency
 * Often time-stamped and sequential
 * Can be structured or unstructured
 * Predominantly operational rather than financial or business-oriented

Edge Data Communication Needs:
 * Rapid and reliable transmission methods
 * Local processing to reduce latency
 * Initial filtering and aggregation to reduce noise
 * Edge computing resources for preliminary analytics



MES/MOM Layer: The MES (Manufacturing Execution System) or MOM (Manufacturing
Operations Management) layers translate granular shop floor data into actionable
information. Examples include work order status, production counts, downtime
incidents, quality metrics, inventory levels, and much more.


Data Characteristics at MES/MOM:
 * Aggregated and contextualized
 * Correlated with production orders, schedules, and resource status
 * Used for in-process tracking, WIP (Work in Progress) monitoring, and
   operations scheduling

MES/MOM Data Communication Needs:
 * Protocols that support structured data formats (e.g., XML, JSON)
 * Middleware that can orchestrate data flow and transformations
 * Systems that enable data visualization for operational oversight



ERP Layer: ERP (Enterprise Resource Planning) systems synthesize information
from across the enterprise to inform strategic and financial decision-making.
Examples include sales forecasts, production scheduling, inventory valuation,
procurement data, financial data, and much more.


Data Characteristics at ERP:
 * Highly processed and summarized
 * Integrated with financial, HR, and supply chain data
 * Oriented towards business outcomes, efficiency, and profitability

ERP Data Communication Needs:
 * Secure and reliable data transfer protocols for inter-system communication
 * Data mapping to ensure compatibility with financial and business modules
 * Scheduled batch processing to align with business cycles and reporting needs

Conclusion 
A connected and intelligent production environment, formed through the synergy
between shop floor automation and control systems and enterprise business
systems, is one of the big goals of any modern manufacturing operation. To make
this a reality, automation and control systems must gather the data from the
manufacturing processes, but then that data must inform the broader
organizational objectives usually facilitated by ERP, MES/MOM, and QMS. 


But making this goal a reality is not easy and not without many challenges.
Getting started toward building a robust framework using industry best practices
requires a thorough assessment of your current situation. It also requires that
you understand the fundamental approaches to communications between automation
and control systems and enterprise business systems. This is the place to
start. 


In the next blog we’ll take a closer look at edge computing and how it fits in
with the overall approach required to build the synergy between the shop floor
systems and the business systems.


If you’d like more information on anything, please contact me through MESA
International (www.MESA.org).



at 7:15 AM
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