Question

chapter 10 quiz
q1 / 5
why is it difficult to implement and maintain a digital thread across the full product lifecycle?
a. engineering and manufacturing data are rarely needed together
b. products rarely change after design, so continuity is unnecessary
c. the amount and complexity of data generated at different stages can vary greatly
d. most engineering teams already use fully integrated tools that require no further data alignment
e. semantic interoperability and version control are only achieved through proprietary data formats
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Explanation:

In a product lifecycle, data from design, engineering, manufacturing etc. vary in volume and complexity. This makes it hard to create and maintain a continuous digital thread. Option A is incorrect as engineering and manufacturing data are often used together. Option B is wrong since products can change post - design. Option D is false because most teams don't have fully integrated tools. Option E is incorrect as proprietary data formats are not the only way for semantic interoperability and version control.

Answer:

C. The amount and complexity of data generated at different stages can vary greatly