Cell & Gene Manufacturing Process Efficiencies - Automation, Scale up & Scale Out

whitePaper | April 26, 2022

Perhaps the most visible aspect of Industry 4.0 is the concept of the ‘smart factory’, a term that typically conjures up images of automated factories leveraging AI, big data and robotics to make manufacturing more efficient, innovative and … well, smarter. That’s a simple take on what in reality will be a complex undertaking that will be an evolutionary journey that manufacturers will take over the next decade or so. Consequently, it’s helpful to approach the smart factory concept in terms of what parts of the existing manufacturing process you want to make smarter, and the foundational technologies that will help you achieve that.

whitePaper | May 11, 2022

The Upcoming digital transformation of the print and media industry towards, printing industry 4.0 is leading to an even closer integration of industry players with their customer, suppliers and partners. The distrubution of task between the parties involved has been evolving in some areas, providing an increasing number of opportunities to add value to products and services.

whitePaper | February 10, 2022

The Smart Industry Readiness Index (SIRI) comprises a suite of frameworks and tools to help manufacturers – regardless of size or industry – start, scale and sustain their digital transformation journeys. The ongoing COVID-19 pandemic and the reshaping of production value chains globally are spurring the manufacturing community to embrace digitalization with greater focus and urgency, motivated not only by potential gains in efficiency, but also by operational resilience. This renewed drive is further powered by the ongoing data revolution, where decision-makers increasingly expect key business commitments, plans and interventions to be supported through big data

whitePaper | January 3, 2023

In order to achieve digital manufacturing through Industry 4.0, it is critical to aggregate and manage the huge amount of data generated in the factory by Industrial Internet of Things (IIoT) sensors and devices. Having connected machines, workers and systems is just the start of the digital transformation journey. To extract real value from this connectivity, a digital twin of machines and processes have to be modeled in a standardized manner which will help aggregate heterogeneous data and provide valuable insights to drive productivity and efficiency. The interoperability and flexibility of different assets is an important challenge due to the volume and variety of data that needs to be modeled. This paper will go over Industry 4.0 compliant data modeling principles using the MongoDB Smart Factory testbed as an example. We will model the data using MongoDB Atlas in a way that fulfills requirements and needs of Industry 4.0: interoperability, flexibility and scalability.

whitePaper | September 1, 2022

A tale as old as industrialization itself. The former driven by producers, the latter by consumers. Every business is subject to the supply and demand paradigm, but manufacturing organizations in particular, since they determine the supply side of the equation. When we talk about “demand,” we are talking about the quantity of a specific good or service that consumers are willing and able to purchase during a given period of time. When we talk about “supply,” we are talking about the quantity of that specific good or service that is available to consumers.

whitePaper | November 11, 2022

A common ‘Design for Excellence’ approach in any product design process is the ‘Design for Manufacturing’ which is simply to ensure the products are easier to be manufactured. A significant and important part of this approach is the ‘Design for Manufacturing Test’ concept. A final product that was manufactured but is difficult to test to effectively measure its quality and reliability before shipping out may result in disastrous consequences when these products fail out in the field, especially when the products are used in mission-critical industries such as the automotive industry.