Even if PLM (as a buzzword, business strategy and software) has a relatively short history, we can talk about some historical roots. There are two main roots or directions in the historical development of PLM. One takes us to design companies, CAD, Engineering Data Management (EDM) and Product data management (PDM). Another one takes us to business systems like enterprise resource management (ERP), workflow and business process management (BPM). These two roots defined the way PLM systems were sold and implemented in many companies during the past decade. First direction used CAD and engineering foundation to establish an initial PLM implementation. ERP vendors were slow in introducing product lifecycle management solutions. Independent PLM companies were weak financially and because of traditional conflict for data-ownership lost the battle to more powerful CAD and ERP companies.
Recently, I started to hear more voices towards "a process foundation" of PLM. The combination of cost-effective platforms (open source, cloud) and increased sensitivity to ROI created the opportunity for new style of PLM implementations – faster, cheaper and… less engineering focus. The last one requires some additional explanation. For many years, the roots of PLM implementations go to engineering department. I can see many benefits in doing so. However, engineering foundation and engineering focus slower an adoption of PLM system by other departments. I’ve been reading Yoann Maingon Minerva blog called Stop starting PLM from Engineering. The main point is how to proliferate in PLM to non-engineering parts of an organization. I liked the following passage:
Start your implementation’s phase 1 out of engineering and you’ll get live much faster. These people need integrated systems and their processes are more stable then in engineering. We know that in engineering you can have very different software acceptance from one to another. You need then to have people in the company that are already supporting the project. The risk is of course to not take into account the software capabilities to support Engineer’s processes. And that’s where it is good to have IT people coming from Engineering to select the solution.
What is my conclusion? I can see lots of interesting opportunities in starting PLM from a business side and not engineering side. You can get results (and ROI) much faster. The industry matters, in my view. You can start PLM outside of engineering in companies heavily focusing on the supply chain, build to print processes, service organizations, process industries and others. I’d not be trying to start outside of engineering in companies focusing on ETO and large OEMs in automotive, defense and aerospace. Just my thoughts… What is your opinion and practices?
Best, Oleg
Posted by olegshilovitsky
Usually I talk about technology and software related to engineering software and PLM. Today, I want to break the rule and speak about the topic that is not technological, but mostly psychological. I’ve been reading Jos Voskuil blog –
People are creating ‘chaos’ by the nature of our work. This is a reality in many situations. In my view, it is specifically true when it applies to engineering work. Therefore, when engineering and IT organizations are speaking about PDM/PLM deployment and implementation, the main goal is to establish a controlled environment to prevent chaos, to organize and share information. The goal is clear. However, I want to ask how PLM deployment really fulfills the goal. The main challenge I can see is that organizations are always moving forward. Changes are introduced all the time, processes tend to be customized, altered and re-configured.
The business of PDM and PLM systems are tightly connected to data. In the early days of EDM (Engineering Data Management) and PDM, developers used variety of data-management technologies – text files for meta-data, proprietary data bases and lately relational databases (
The issues of data, data lock-in, interoperability usually drives lots of debates and discussions. Started early from support and conversions of CAD data formats, interoperability continued to be complicated topic for PDM and PLM systems. Companies are still investing lots of money and effort in converting and translation of data. Introduction of SaaS and cloud platforms injected new waves of discussions – what happens with our data on the cloud. What if cloud software vendors lock my data, and I will not be able to get it out? What if a cloud vendor goes out of business, and data disappears. These are all very important questions.
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I was long time I didn’t write anything about SharePoint. I’ve been tracking SharePoint for the last 5-7 years very closely. These days I can hear lots of talks about coming SharePoint 2013. Many of the customers I know are using SharePoint. Back in 2006-2007, the success of SharePoint comes from the ability to provide an easy starting solution to collaborate on files in folders. The technology was easy, came together with Windows server and was free as soon as you have paid Windows server license. It was easy to start and put you hands-on something that gives you value immediately.
One of the questions, that was very popular in my childhood was about "life on Mars". Nowadays, thanks for
For many years, supply chain was a space that drove lots of attention. One of the major trends, I can see for the last decade of manufacturing transformation is an increased granularity and optimization among the value chain. Design supply, manufacturing supply chain optimization and many other things in this space are raising many questions and interest of software vendors and customers. Earlier this year, the following article caught my attention – 
