How should faculty schedule a class laser-cutting assignment?

Question

Accepted Answer

Faculty should plan backward from the critique or submission date with the lab manager.

Faculty should plan backward from the critique or submission date with the lab manager. Estimate the number of users, training demand, average test and production time, material availability, staff coverage, and rework allowance. Schedule orientation and material approval early, and make a successful small test coupon a graded milestone rather than an optional last step. Planning a class laser-cutting assignment backward from the critique date A timeline read right to left. At the top, a box titled plan with the lab manager lists six estimates: users, training demand, test and production time, material availability, staff coverage and rework allowance. Below, a horizontal timeline ends at the critique or submission date on the right. Working leftward: a production window, with a dashed fallback deliverable lane beneath it, then a file deadline that comes before the machine time, then a graded small test coupon milestone, then orientation and material approval early on. A callout says the lab approves capacity and enrollment does not create machine time. Plan with the lab manager: estimate these users training demand test and production time material availability staff coverage rework allowance orientation and material approval (early) graded small test coupon file deadline critique / submission date production window fallback deliverable read right to left: plan backward The lab approves capacity. Enrollment doesn’t create machine time. Start from the critique date and work backward. The file deadline sits ahead of the production window so preflight problems do not eat reserved machine time, and the test coupon is graded rather than optional. Spacing is conceptual; set the actual dates with your lab manager. Give students a file deadline before their machine deadline so preflight issues do not consume reserved production time. Include a fallback deliverable for equipment downtime and avoid promising that every student can fabricate on the final day. The lab should approve the capacity assumptions; course enrollment alone does not create machine capacity.