Republicii Street, No. 9, TM, Romania +40-256-201279
Tech

With the highly demanding industry environment and unique challenges in the medical field, the manufacturers need to make use of automation, in order to stay ahead of their competitors.

Entire factories have to meet the strict compliance requirements in terms of “product testing, inspection, packaging, and storage and retrieval” – as the Internet of Things Handbook by Design World puts it.

Big software platforms, as well as customized, smaller-sized solutions seem to share one common feature. A feature which comes as a welcome answer to the healthcare industry current needs:

The key to achieving the goals of manufacturing accuracy and high throughput with medical devices is not simply a matter of adopting more automation. It lies with the core principle of Industry 4.0, which is to combine automation and IT (information technology)

Automation expands from production towards Business Intelligence, becoming an Industry 4.0 –type automation

First, let’s see the McKinsey upgraded definition for the Industry 4.0 phenomenon (same source as above):

(Industry 4.0 is) the next phase in the digitization of the manufacturing sector, driven by 4 disruptions:

  • the astonishing rise in data volumes,
  • computational power, and connectivity, especially new low-power wide-area networks,
  • the emergence of analytics and business-intelligence capabilities,
  • new forms of human-machine interaction, such as touch interfaces and augmented-reality systems, and improvements in transferring digital instructions to the physical world, such as advanced robotics and 3-D printing.

Combining automation with IT is an element you will often find in the presentation of various software solutions companies. It’s the next logical step, bringing automation to the fingertips of various employees. The expectancy of having a data scientist and a valuable process manager (or even a basic worker) in one person is a far-fetched one. Therefore, the technological progress represented by automation needs to become available on all levels, via friendly UIs.

Through this important move, manufacturers may go from merely automated production processes towards the use of data in order to improve these processes.

Add the right software solution to your operations, and not only will you be able to “tell” each machine what you want it to do, but you will “understand” what the machines need, to deliver better results.

In other words, this human to machine communication turns from a monologue into a dialogue, via data collecting and processing, and the resulting valuable insights.

 

Software solutions asked to deliver error-free processes, as well as reliable system status reports

All over the industries (that is, not only in medical manufacturing), professionals need to meet this double demand. The production needs to be accurate and fast, while excluding as much as possible the security risks.

When the software solutions employed in production are cyber-secure, the possibility of induced errors is down to zero. What remains is the risk of random errors – which can be eliminated by teaching the system how to improve itself.

Since there is no teaching possible without knowing what you have to teach, system reports, as well as event/incident reports are essential in improving the processes.

Another important role played by system reports (to be understood as “interpreted data”) is that of change triggers. It may be that risks are down to a minimum, but you need different solutions, creativity, innovation. Again, by making use of the automatically-processed data, one finds the necessary resources to launch useful changes, or even bold ones.


Whatever your software solutions needs may be – contact us and let’s talk about what we can do for you. With the considerable experience we have in healthcare solutions, via the software solutions partnerships in which our specialized team excelled in delivering leading industry results, we can provide consultancy, development & implementation tailored to your precise requirements, asap!

0

Leadership

We enjoyed reading this article published by an infrastructure engineer from Quora, Angela Zhang. It presents project phases, focusing on the right way to do project scoping, in a realistic and efficient manner.

As we enable teams to deliver products to market faster, efficiency is key. We facilitate delivery in multiple markets without having to incur the costs and time delays in ramping up permanent organizations. Subsequently, have learned hands-on how to speed up the R&D process and reduce time to revenue, as well as reduce burn rate. Indeed, developing a realistic and revised version of the project plan is important.


The article we recommend talks about a few best practices in the field. It is concise and it provides a good insight view. To quote just a couple of paragraphs:

De-risk the project as soon as possible. Two common ways of de-risking a project include (1) working on the riskiest parts upfront, and (2) prototyping the riskiest parts using dummy data and/or scaffolding. Whenever a new open-source system or external service is used, that usually represents a big risk.

&

Define measurable milestones to get to the project goal. Schedule each with a specific calendar date representing when you expect this milestone to be reached. Then, establish some sort of external accountability on these milestones by, for example, committing them to your manager and setting up milestone checkins.

*Visit the freeCodeCamp page on Medium for similar articles.

*Our way of working ranges from fixed-cost projects to time & material projects. Also, the types of collaboration available include extension of the team, feature teams or entirely independent product teams.

0