Current challenges and recent advances on the path towards continuous biomanufacturing.

Continuous biopharmaceutical manufacturing is currently a field of intense research due to its potential to make the entire production process more optimal for the modern, ever-evolving biopharmaceutical market. Compared to traditional batch manufacturing, continuous bioprocessing is more efficient, adjustable, and sustainable and has reduced capital costs. However, despite its clear advantages, continuous bioprocessing is yet to be widely adopted in commercial manufacturing.

Contextualized Filtering for Shared Cyber Threat Information.

Cyber threat information sharing is an imperative process towards achieving collaborative security, but it poses several challenges. One crucial challenge is the plethora of shared threat information. Therefore, there is a need to advance filtering of such information.

ARES: Automated Risk Estimation in Smart Sensor Environments.

Industry 4.0 adoption demands integrability, interoperability, composability, and security. Currently, integrability, interoperability and composability are addressed by next-generation approaches for enterprise systems integration such as model-based standards, ontology, business process model life cycle management and the context of business processes.

D4I - Digital forensics framework for reviewing and investigating cyber attacks.

Many companies have cited lack of cyber-security as the main barrier to Industrie 4.0 or digitalization. Security functions include protection, detection, response and investigation.

Standards-based Semantic Integration of Manufacturing Information: Past, Present, and Future.

Service-oriented architecture (SOA) has been identified as a key to enabling the emerging manufacturing paradigms such as smart manufacturing, Industrie 4.0, and cloud manufacturing where things (i.e.

An Investigation to Manufacturing Analytical Services Composition using the Analytical Target Cascading Method.

As cloud computing is increasingly adopted, the trend is to offer software functions as modular services and compose them into larger, more meaningful ones. The trend is attractive to analytical problems in the manufacturing system design and performance improvement domain because 1) finding a global optimization for the system is a complex problem; and 2) sub-problems are typically compartmentalized by the organizational structure. However, solving sub-problems by independent services can result in a sub-optimal solution at the system level.

An Overview of a Smart Manufacturing System Readiness Assessment.

Smart manufacturing, today, is the ability to continuously maintain and improve performance, with intensive use of information, in response to the changing environments. Technologies for creating smart manufacturing systems or factories are becoming increasingly abundant. Consequently, manufacturers, large and small, need to correctly select and prioritize these technologies correctly.

On architecting and composing engineering information services to enable smart manufacturing.

Engineering information systems play an important role in the current era of digitization of manufacturing, which is a key component to enable smart manufacturing. Traditionally, these engineering information systems spanned the lifecycle of a product by providing interoperability of software subsystems through a combination of open and proprietary exchange of data. But research and development efforts are underway to replace this paradigm with engineering information that can be composed dynamically to meet changing needs in the operation of smart manufacturing systems.

Drilling down on Smart Manufacturing -- Enabling Composable Apps.

One of the most exciting new capabilities in Smart Manufacturing (SM) is the provisioning of manufacturing services as unbundled "apps," which could be significantly more flexible and less expensive to use than the current generation of monolithic manufacturing applications. However, bundling and integrating heterogeneous apps in the form of integrated services is not a trivial job. Currently, many technology and standards efforts address parts of the solutions for this vision and other parts of the solutions have yet to be addressed or might not have even been identified.

An Analysis of Technologies and Standards for Designing Smart Manufacturing Systems.

Smart manufacturing is defined by high degrees of automation. Automation, in turn, is defined by clearly defined processes. The use of standards in this environment is not just commonplace, but essential to creating repeatable processes and reliable systems.