  In this paper, we use open-source tools to perform quantum resource
estimation to assess the requirements for industry-relevant quantum
computation. Our analysis uses the problem of industrial shift scheduling in
manufacturing and the Quantum Industrial Shift Scheduling algorithm. We base
our figures of merit on current technology, as well as theoretical
high-fidelity scenarios for superconducting qubit platforms. We find that the
execution time of gate and measurement operations determines the overall
computational runtime more strongly than the system error rates. Moreover,
achieving a quantum speedup would not only require low system error rates
($10^{-6}$ or better), but also measurement operations with an execution time
below 10ns. This rules out the possibility of near-term quantum advantage for
this use case, and suggests that significant technological or algorithmic
progress will be needed before such an advantage can be achieved.
