I’ve been in the automation business now for over 27 years,
and it seems that for the past 20 of them, we’ve been wrestling with the
concept of #MES (Manufacturing Execution Systems) to #ERP (Enterprise Resource
Planning). And it amazes me that we are
still having these conversations.
Why? I have my own ideas, and
since this is my blog, you get to find out what they are!
The ERP market is shrinking. Yes, SAP and Oracle and the rest are selling products, but they are also acquiring new technologies and new software providers at a healthy pace. These ERP providers are widening and deepening their offerings, so that they are not fully dependent upon the “traditional” ERP offerings—venturing into CRM, BI, PLM, SaaS, you name it.
The MES connection comes when ERP reaches down into
manufacturing, to extend their framework into BOM management, track and trace,
quality, and other functions that have normally been the purview of the more
focused and specialized MES community. And the confusion comes about when you
have two seemingly different offerings both touting the same functionality and
product delivery.
But there’s an important distinction between the two
providers, and it comes down to the data model. On the ERP side, everything is
driven by financials—how much something costs, how to buy more, how to improve
the quote to cash cycle. On the MES
side, it’s all about manufacturing efficiencies and operational excellence: how
to refine, standardize, visualize, and improve the actual, physical building
(or processing) of something—some tangible entity—that includes materials,
labor, equipment and people—to initiate that transformation process. MES is meant for real time transactions, not
batched processes that may take hours or even days to complete. The data model comes in because most MES
providers have either a strong or at least glancing connection to the physical
processing world of the automation equipment themselves. So the way that the product is physically
manufactured can be modeled within the MES itself. This tight relationship, using the same
definitions, concepts, and modeling tools, means that the underlying
foundational structure that is based on the “real time” world is proliferated
and used within the MES for execution and control, using the inputs and outputs
and data capture of the automation equipment.
The actual data integration then becomes almost
secondary—everyone has a variety of ways now of sharing data, be it web
services, HTML, or direct connect. But
it’s the model, and the way that the products behave, that create that
distinctive advantage for using a pure-play MES.
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