probably slightly off topic, but this reminds me of a job I did some years ago where the client was only interested in years and weeks - a fresh produce packing facility where I was doing work on the program for recording product 'production' (packing tomatoes into crates, mostly).
They did 'invoicing' runs on a Monday, and other housekeeping on other days of the week.
Basically, they worked with 'ISO' weeks, but wanted to be able to 'adjust' their weeks sliding the start/end days to manage their shifts, in particular around holiday season (Christmas/New Year in New Zealand, just about everything shuts down), and so we ended up creating a 'WeekNumber' table with Start/End dates and a bunch of queries that joined to this table on a time stamp (that's a datetime, not a rowversion) field.
It was great while the database was really small, but after a few million crates the performance of the queries started to drop off dramatically, and I discovered how bad a StartDate <= RecordDate <= EndDate join performs!.
Now our WeekNumber table had an integer primary key that took the form YYYYww (is that a natural key ?) - we chose to 'denormalise' and add a 'WeekNumber' column to all those tables with a time stamp, and using a trigger (didn't want to confuse the VB6 front-end at all), populated the field based on the time stamp on each insert/update - the integer equi-join being way faster than the old one.