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The term disruptive technologies was coined by Clayton M. Christensen and introduced in his 1995 article Disruptive Technologies: Catching the Wave, [13] which he cowrote with Joseph Bower. The article is aimed at both management executives who make the funding or purchasing decisions in companies, as well as the research community, which is ...
This is a list of obsolete technology, superseded by newer technologies. Obsolescence is defined as the "transition from available to unavailable from the manufacturer in accordance with the original specification." [1] Newer technologies can mostly be considered as disruptive innovation. Many older technologies co-exist with newer alternatives ...
Currently, though the process is set, it has not yet been implemented. It is defined as a “disruptive technology” [4] requiring a complete change in current manufacturing processes. Therefore, cost concerns for manufacturers needing new equipment, labour concerns for current PCB manufacturers and others will need to be solved or addressed ...
This is a list of emerging technologies, which are in-development technical innovations that have significant potential in their applications. The criteria for this list is that the technology must: Exist in some way; purely hypothetical technologies cannot be considered emerging and should be covered in the list of hypothetical technologies ...
The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail, first published in 1997, is the best-known work of the Harvard professor and businessman Clayton Christensen. It expands on the concept of disruptive technologies, a term he coined in a 1995 article "Disruptive Technologies: Catching the Wave". [1]
The typical life cycle of a manufacturing process or production system from the stages of its initial conception to its culmination as either a technique or procedure of common practice or to its demise. The Y-axis of the diagram shows the business gain to the proprietor of the technology while the X-axis traces its lifetime.
Some of the key technologies in the smart manufacturing movement include big data processing capabilities, industrial connectivity devices and services, and advanced robotics. [5] Graphic of a sample manufacturing control system showing the interconnectivity of data analysis, computing and automation. [6]
Design for additive manufacturing (DfAM or DFAM) is design for manufacturability as applied to additive manufacturing (AM). It is a general type of design methods or tools whereby functional performance and/or other key product life-cycle considerations such as manufacturability, reliability, and cost can be optimized subjected to the capabilities of additive manufacturing technologies.