IT in Manufacturing


Imana Foods migrates to Wonderware’s latest MES solution

November 2013 IT in Manufacturing

In 2006 Imana Foods recognised the need to acquire official HACCP accreditation. It looked to system integrator IT Dynamics to provide a solution that would contribute to achieving this goal.

Wonderware’s PEM was first implemented in 2009 resulting in a solution that enabled the following:

* Systematic traceability of raw materials consumed during the blending stage.

* Improved control of the blending operation by displaying the appropriate recipe step-by-step.

More recently, the solution was expanded to add visibility to the packing process. Industrial panels were installed to control the work orders and display a real-time case count to the operators. This implementation required that Wonderware’s PEM be integrated with the ERP system to ensure that all work order information was stored accurately. With the advancement in Wonderware’s solution offering, a migration became necessary.

Figure 1: Previous system architecture.
Figure 1: Previous system architecture.

Implementation

Invensys Wonderware staff were consulted and, in collaboration with IT Dynamics and Imana Foods, it was agreed that Wonderware would compile the necessary documentation, considering all the information that was gathered in workshops with IT Dynamics and Imana Foods. IT Dynamics would then develop and implement the solution.

Workshops were held to address the following:

* Define the project objective, business context and purpose.

* Understand the process plant model for Imana Foods in accordance to the ISA-95 standard (Figure 2).

Figure 2: Imana Foods ISA-95 process plant model.
Figure 2: Imana Foods ISA-95 process plant model.

* Determine which modules of the MES solution to implement.

* Analyse the activities of the different production centres with reference to the relevant activity models.

* Define the reporting and visualisation requirements.

The project goals included:

* Upgrading the legacy PEM software to the MES v4 software.

* Redesigning the blender traceability application infrastructure, making it more stable and requiring less support.

* Migrating the Wonderware hardware to a virtual platform.

* Providing Imana Foods with a solution that would minimise system downtime should there be a system failure.

“The project was originally designed for one blender and one handheld scanner using Wonderware’s Production Event Module,” says Murray Irvine, project engineer, IT Dynamics. “But this escalated to multiple units and their interactions became very complex. The system needed to be far more dynamic, hence the need to redesign from scratch, but this time using Wonderware’s MES Operations 4.0 which provided the required extra functionality.”

The implementation took just under 16 months which included five months of development time. To facilitate and simplify the cutover process from the old system to the new, IT Dynamics implemented virtual hardware in the form of VMWare servers. As with many projects, the implementation faced a big challenge: integrating the MES and the ERP. This required the team to develop custom C# dll script function libraries that utilises the MES API to transfer data between the MES and the ERP. The custom development has resulted in the ability to capture recipe and work order data into both the MES and ERP, and more importantly, to ensure that the correct recipe step is displayed to the operator.

Figure 3: ArchestrA QuickScript and C# dll for work order information.
Figure 3: ArchestrA QuickScript and C# dll for work order information.

“In my opinion, the most outstanding feature of the implementation was the high level of data transfer integration we achieved between the MES and ERP systems,” says Irvine.

For the blending operation, the MES queries the ERP for all the relevant work order details, including the bill of materials, specifications and of course the recipe, as soon as the work order is released for production. The data received is then dynamically added to the MES database to enable production to continue.

“All the master data was kept in the ERP system and the MES pulls the information when necessary and writes any data required by the ERP back during the blending process,” says Irvine. “Depending on the specific work order status, both systems know at all times the progress of the job in the blending process.”

Irvine maintains that having key Imana Foods stakeholders on site during Go-Live was critical to ensure that any information transfer between the SI and the end-user was delivered in a timely manner. Furthermore, having a Wonderware consultant on site during this critical period meant that any problems were dealt with efficiently.

The Invensys Wonderware solutions implemented to accomplish the goals are System Platform 2012, InTouch 2012 Scada/HMI, MES v4.5, Historian, Wonderware Information Server 2012, DASSIDirect 3.0 and Hotfix.

Figure 4: New system architecture.
Figure 4: New system architecture.

Business benefits

* By utilising both VMWare and Wonderware Automation Object Server (AOS) redundancy, Imana Foods is operating on a hardware platform that minimises system downtime should there be a failure.

* The company can now benefit from all of the present and future features and functionality that MES v4 has to offer.

* The platform is more stable requiring less operational support.

* Implementation is aligned to the IT business road map of utilising virtual technologies.

* The platform enforces standardisation of processes.

For more information contact Jaco Markwat, Invensys Operations Management, +27 (0)11 607 8100, tech@invensys.co.za, www.iom.invensys.co.za





Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

How to navigate the high-stakes economics of AI infrastructure
IT in Manufacturing
Nearly 60% of data centre operators are expected to adopt liquid cooling within five years as AI workloads drive demand for higher rack densities. Understanding the full financial picture of liquid cooling, from capital investment to long-term operational savings, is now essential.

Read more...
Protecting the digital mine
RJ Connect IT in Manufacturing
As mining becomes increasingly connected and automated, cyber threats are emerging alongside the benefits of digitalisation. RJ Connect and provides rugged networking, edge computing and cybersecurity technologies from MOXA to help protect critical mining operations from evolving attacks.

Read more...
SICK launches AI-powered 3D quality inspection
SICK Automation Southern Africa IT in Manufacturing
SICK has combined deep learning with 3D height data analysis in its Nova machine vision platform.

Read more...
Predictive maintenance is the critical enabler for AI data centre liquid cooling systems
IT in Manufacturing
As liquid cooling becomes essential for AI data centres, predictive and condition-based maintenance are emerging as critical enablers of thermal stability. Schneider Electric argues that the infrastructure is already generating the data needed and the question is whether operators are equipped to use it.

Read more...
Siemens software scales with Simple Energy EV development
Siemens South Africa IT in Manufacturing
: Simple Energy, an Indian electric two-wheeler manufacturer, has expanded its use of Siemens Xcelerator software to manage complex vehicle variants and enterprise-level bills of materials, accelerating product development as its EV portfolio scales.

Read more...
ESG as a growth lever
RS South Africa IT in Manufacturing
Leading organisations are treating ESG not as a compliance obligation but as a practical tool for operational efficiency, supply chain resilience and business performance, with data and collaboration central to unlocking its value.

Read more...
Preparing Africa’s data centres for the demands of autonomous AI
Schneider Electric South Africa IT in Manufacturing
Africa’s data centre infrastructure must evolve significantly to support agentic AI workloads, with GPU-intensive computing, advanced cooling and reliable power demanding a fundamentally different approach to facility design and investment.

Read more...
Virtualising the control room to reshape building management systems
Schneider Electric South Africa IT in Manufacturing
Schneider Electric explains how virtualising building management systems frees facilities teams from ageing hardware, delivers stronger cybersecurity and enables portfolio-wide control from a single interface.

Read more...
AI infrastructure solutions for data campus
Schneider Electric South Africa IT in Manufacturing
Schneider Electric and Motivair deliver more than $290 million in power and cooling infrastructure for TeraWulf’s AI-ready Lake Mariner data campus.

Read more...
Africa’s data centre evolution: AI, edge computing and new energy demands
IT in Manufacturing
With less than half a gigawatt of active white space capacity serving over a billion people, Africa’s data centre sector faces a stark gap that AI’s surging power and cooling demands are set to widen. Vertiv and Open Africa Data Centres unpack how modularity, edge computing and smarter energy strategies could change the equation.

Read more...









While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.




© Technews Publishing (Pty) Ltd | All Rights Reserved