Knowing the role of PLM in service isn’t always clear. When you think about PLM and a service lifecycle, there are a few different areas of potential crossover. But knowing what these are and how to apply them in your organisation isn’t easy.
Knowing the role of PLM in service isn’t always clear. When you think about PLM and a service lifecycle, there are a few different areas of potential crossover. But knowing what these are and how to apply them in your organisation isn’t easy.
For many manufacturers, product lifecycle management can be a daunting prospect. Taking the decision to implement PLM isn’t necessarily a straightforward choice. And, this isn’t helped by common misconceptions that exist about PLM. In fact, these misconceptions can become unnecessary barriers for companies considering their options for managing their data and product lifecycles. Here are five common misconceptions about product lifecycle management.
To understand how and why product lifecycle management first developed and why there is a clear and growing need for PLM, we first need to look at what we mean by product lifecycle.
In recent years, a number of leading high tech companies have found themselves suddenly following the competition. They have lost their place as market leaders of the pack to younger upstarts. Partially, this can be explained by the ability of the competition to leverage and optimise their product development processes to beat the leaders to the market with the most innovative products.
Product Lifecycle Management enables companies to manage all the data, information, and communications for the entire product lifecycle – covering all stages from concept development through to product retirement. But, actually knowing when the time is right for your organisation to take the steps to implement a PLM solution isn’t always easy. Recognising the signs that PLM is the right move for your organisation can make the difference between remaining competitive and falling behind in your market. Here are 5 of the common indicators that PLM could be the next move you need to take.
Projects are more complex. Products are becoming more advanced. So, it comes as no surprise that business processes, engineering, software development, design, analysis and the other responsibilities that are part of an enterprise’s operation need a better model to support product development.
Designing and creating innovative products is hard. Not only are customers more discerning now, but also market pressures and competition are tougher than ever before. It means that even successful companies are having to re-evaluate processes and best practice to gain that edge.
When it comes to starting a PLM implementation in your organisation, should you be looking to start by organising your data? Or do you need to begin your implementation by integrating your processes with PLM. Today, we’re going to look at the arguments for both sides. Just to be clear, what we are discussing is where should you focus start when it comes to PLM. Should it be data or process? This is not about whether you already have your data and processes under control.
Industry research shows that the root cause of 56% of all errors identified in products and engineering projects are introduced in the requirements phase. So, it’s better to get it right the first time. Mechanical, electrical, and software design is driven by accurate product requirements. However, poor communication of requirements to and across all engineering disciplines are documented to be costly and time consuming:
