IT in Manufacturing


MES and EMI

February 2010 IT in Manufacturing

At first glance, the difference between a one-man engineering shop and a multinational manufacturing enterprise seems obvious. But guess who is better informed. As a company grows, it is categorised by two attributes; an increasing lack of knowledge about what is really going on at the business and operational levels and an increasing lack of control reconciling business needs with production realities.

Our one-man show, on the other hand, knows exactly what is happening all the time. He knows precisely how long it will take him to finish the current (and probably only) order because he knows his production rate and the quality of his work. He knows his customers intimately and has no need for customer relationship management (CRM) software. He also knows how much money he has in the bank at any moment in time and is aware of any debts that may be outstanding. Our one-man engineering enterprise is a fully-integrated, realtime business in every sense of the word.

But years later, things have changed. He now employs hundreds of people, manufactures a large variety of products using some really expensive machinery and complex manufacturing processes. Yet, he is in the dark most of the time with respect to his true financial position and what is happening on the shop floor. Worse of all, he is at a complete loss as to what to do when things go wrong because he simply does not have the decision-support information he needs. Our one-man show has migrated from complete knowledge and complete control to a world of limited knowledge and shaky control – not exactly the reward he was expecting for being successful. There is obviously too much going on and he needs help.

You can get good help these days

Today, the suite of available solutions for mining and manufacturing enterprises are categorised under four main headings: ERP (business applications), MES, EMI and scada (process control and industrial automation).

While ERP and scada are outside the scope of this article, they deserve a brief mention because they are both the source and destination for MES and EMI functionality at either end of the application spectrum.

ERP

To date, manufacturers have successfully invested in enterprise applications to manage business functions such as financial and cost management, purchasing and procurement, inbound and outbound logistics and human resource management. Much of this success can be attributed to the maturity of the enterprise software applications. The enterprise application software vendors in turn were in the fortunate position of having common business processes, independent of industry verticals, to cater and design for; hence, whether you were in mining or in discrete manufacturing, the order-to-cash process was relatively similar. This is, however, the only group of enterprise functions for which this holds true.

Scada

Scada is no longer just about closing this valve or starting that pump. Today’s realtime historians have earned the name of ‘Shop Floor IT’ because their repositories often surpass those of their business counterparts and hold large amounts of not just data but collated and contextualised information with respect to trends, overall equipment effectiveness, maintenance issues and much more. These historians are a valuable source of information for MES and EMI.

Manufacturing execution system

20 years ago, when the term MES was coined, the manufacturing operations landscape was in turmoil. The operations processes between industries were so vastly different that it prevented the same kind of standardisation that existed in ERP. Hence, the need arose for standards-based manufacturing execution systems. (Figure 1.)

Figure 1: The 11 functions of the MESA MES model
Figure 1: The 11 functions of the MESA MES model

Since then, MES has evolved into a relatively mature ‘group of applications’ guided by ISA-95 standards and designed to manage production workflow from beginning to end, operation by operation. From generating electronic work instructions for operators, to ensuring that the right materials are available, to communicating set-point instructions to shop floor systems, while at the same time recording actual outputs measured against quality, cycle time and throughput. As MES evolved further, so did capabilities like full product genealogy (including product tracking) and maintaining an ‘as built’ bill of materials (BOM).

And so MES became the control link between the top floor and the shop floor. Due to its complexity and extensive functionality which reaches virtually all the corners of the organisation, MES is rather like a large jigsaw puzzle. It is easier to confront when put together a few pieces at a time, and successful implementation requires certainty that new pieces will fit the existing puzzle precisely and when required.

Because of this, many companies in South Africa and abroad, particularly in the mining, process and general manufacturing industries have been reluctant to implement MES solutions as they could not map their needs to the available functionality. So they resorted to innumerable spreadsheets and home-grown applications to support their operational processes. But they have gradually come to realise that they cannot continue with this precarious mode of operation because it often offers very little that improves operations or creates insight. They acknowledge that even though they do not need a complex, functionality-rich MES, they do want applications that provide near realtime visibility into their operations and that support improved decision making and ultimately actionable intelligence – enter the EMI solution.

Enterprise manufacturing intelligence

EMI is a term which applies to software used to bring a company’s manufacturing-related data together from many (and often disparate) sources and possibly across many plants for the purposes of creating context, generating reports, doing analyses, providing visual summaries and passing data between enterprise-level and plant-floor systems.

As data are combined from multiple sources, they can be given a new structure or context that will help users find what they need regardless of where it came from. The primary goal of this concept is to turn large amounts of manufacturing data into actionable knowledge that will help achieve the desired business results.

So, while MES may remain the central anchor in the operations value chain, for a large proportion of the manufacturing, mining and processing operations in South Africa, EMI technologies can provide new tools to assist with operational challenges, including:

* Cost reduction pressures – do more with less.

* Accurate available-to-promise (ATP) dates.

* Work-in-progress (WIP) reduction.

* Improved efficiency and throughput.

EMI and industry needs

Figure 2 shows an Aberdeen research report, titled ‘MES and beyond’, where a multitude of manufacturers were surveyed across different industries to determine their key market drivers. The consumer industry reports manufacturing responsiveness as a key priority because market conditions are driving businesses from a make-to-stock to a make-to-order environment. Business is being driven to be more agile while reducing inventory levels at the same time. Through the bi-directional, on-demand integration capabilities of EMI technologies, manufacturers can deliver business content directly to the shop floor manufacturing process to empower operators to produce relative to demand and cost pressures.

Figure 2: Top drivers by industry sector (Source: AberdeenGroup, May 2006)
Figure 2: Top drivers by industry sector (Source: AberdeenGroup, May 2006)

Process industries, on the other hand, due to their asset-intensive nature, list decreased costs as their key driver for achieving operational excellence. Historically, operators would produce finished products within the time and quality constraints only. With the advent of EMI technologies, the same operators can now produce relative to time, quality and cost. EMI technologies facilitate the contextualisation of information from various source systems such as ERP, LIMS, MES and scada, and present the information in a manner that assists in the decision-making process.

Figure 3: EMI can collect and collate data from disparate sources yet provide knowledge in uniform and standardised formats to all concerned
Figure 3: EMI can collect and collate data from disparate sources yet provide knowledge in uniform and standardised formats to all concerned

Price pressure is a key market driver for the discrete manufacturing industry, which needs to continuously look at innovative ways of reducing scrap and re-work, improving asset utilisation and delivering first-pass quality products. EMI technologies, through their visual dashboard capabilities, provide operators and managers the ability to monitor their production in realtime, supported by statistical process control capabilities, which enables them to anticipate problems and to respond quickly when they occur. As a result, quality is improved leading to reduced waste and rework while reduced downtime results in better asset utilisation.

Realtime manufacturing is increasingly becoming a requirement to remain competitive. Manufacturers require visibility into operations ‘from the shop floor to the top floor’ through performance dashboards (see Figure 4) enabling ‘right-time and realtime information’, realtime inventory management and co-ordination, exception triggering and notifications. This requirement is becoming ever increasingly apparent in the current financial environment – businesses want to increase productivity and efficiency without any additional capital expenditure. EMI technologies offer these businesses the opportunity to leverage existing investments in infrastructure and applications, while providing the capability to improve efficiency, visibility and agility of manufacturing operations without the need for additional capital expenditure.

Figure 4: Some typical dashboards combining business and operational measurements
Figure 4: Some typical dashboards combining business and operational measurements

Conclusion

The diversity of plant operations in the mining and manufacturing industries will continue to challenge many companies and solution providers. While MES provides the necessary control over synchronising production with business requirements, EMI collates information from a variety of sources to provide the contextualised knowledge or actionable intelligence about the enterprise that is vital to decision-making at all levels.

Some industries do not require the full range of MES functionality while all companies will benefit from the visibility that EMI provides into their realtime performance and the ability to analyse cause-and-effect scenarios. The contextualised information dashboards provided by EMI lets everyone know how their contributions are helping the company achieve its business objectives at all levels.

There is really no longer an excuse for not getting it right.

Ugan Maistry
Ugan Maistry

For more information contact Ugan Maistry, EOH Mining and Manufacturing, +27 (0)11 607 8142, [email protected], www.eoh.co.za





Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

Next-generation road-legal race car.
Siemens South Africa IT in Manufacturing
Siemens Digital Industries Software has announced that Briggs Automotive Company (BAC) will move to the Siemens Xcelerator portfolio of industry software and use it to develop the next generation of its single-seater road-legal race car, Mono.

Read more...
Cybersecurity at a crossroads
IT in Manufacturing
here’s a growing unease in boardrooms, data centres and cabinet offices across South Africa. It’s not just about economic headwinds or political uncertainty, it’s about something quieter, more technical and yet just as dangerous - the rising tide of cyber threats.

Read more...
Enabling a sustainable industrial organisation
IT in Manufacturing
This article explains the top sustainability trends and key actions that you can leverage to become a more sustainable organisation.

Read more...
Navigating discrete manufacturing in South Africa through digitalisation
IT in Manufacturing
South Africa’s discrete manufacturing sector faces mounting pressure from global competition, fragmented supply chains and outdated infrastructure. In this complex environment, digitalisation is a critical lever for survival, resilience and growth.

Read more...
Africa’s pragmatic approach to AI and how data centres are enabling it
Schneider Electric South Africa IT in Manufacturing
In Africa, the current AI momentum is driven by a fundamental need, building a resilient digital infrastructure that addresses the real-world challenges of the continent’s communities.

Read more...
World first simulation of error-correctable quantum computers
IT in Manufacturing
Quantum computers still face a major hurdle on their pathway to practical use cases, their limited ability to correct the arising computational errors. In a world first, researchers from Chalmers University of Technology in Sweden have unveiled a method for simulating specific types of error-corrected quantum computations.

Read more...
Platform to accelerate supply chain decarbonisation
Schneider Electric South Africa IT in Manufacturing
Schneider Electric has launched Zeigo Hub by Schneider Electric, a powerful new digital platform designed to help organisations decarbonise their supply chains at scale.

Read more...
Future-ready data centres
IT in Manufacturing
The white paper ‘Future-Ready Data Centres’ by Black & Veatch outlines how integrating sustainable design principles not only helps meet ESG goals but also ensures reliability, operational efficiency and business continuity in the face of climate change and growing digital demand.

Read more...
Sustainable energy management
Siemens South Africa IT in Manufacturing
Utilising its innovative ONE approach technology, Siemens provides complete transparency on resource consumption and offers data-driven optimisation recommendations for sustainable energy management.

Read more...
Enhancing operational safety and efficiency through advanced risk-based modelling
IT in Manufacturing
Now, more than ever, capital and operational cost can be reduced while enhancing operational safety and increasing production uptime by applying transformative methods such as Computational Fluid Dynamics modelling.

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