The curious case of manufacturing capacity utilization: Why hasn’t it recovered from the Great Recession?
Manufacturing capacity utilization—an important measure of inflation—is yet to reach pre-recessionary levels. What does this mean for different industries, and for the economy as a whole?
2017 Global Chemical Industry M&A Outlook
Momentum continues despite global uncertainties
Global chemical mergers and acquisitions (M&A) activity is expected to increase in 2017, although geopolitical factors could pose challenges to achieving the levels of activity experienced in 2015 and 2016.
Industry 4.0 and manufacturing ecosystems
Forging links into loops: The Internet of Things’ potential to recast supply chain management
Faced with external pressures, US companies often cut costs to remain competitive. True to form, many have focused their Internet of Things strategies on how the technology can cut costs and improve efficiency. But the IoT can also serve as a foundation for greater differentiation and innovation.
The talent imperative in the global chemical industry
3D opportunity for engineers: Using behavioral science to help build a new mindset
Additive manufacturing can be transformative, yet many engineers use these technologies only rarely. Behavioral economics suggests why many companies are holding back, and how to move past both organizational inertia and engineers’ mental blocks and fears about expanding the use of AM.
3D opportunity for intellectual property risk
In a shifting value chain, information related to an object’s additive manufacturing (AM) design could become more valuable than the object itself―yet intellectual property law is struggling to keep pace with AM technology advances. A risk assessment framework helps AM stakeholders develop appropriate economic models and IP licenses.
3D opportunity and the digital thread
While additive manufacturing has become a crucial part of the design process, it has not reached critical mass at the enterprise level. The digital thread—a single, seamless strand of data that stretches from the initial design to the finished part—can help scale and enhance AM capabilities.