It can be done...but I'd suggest you pull up and take another look at
your database design first. Now, I have no idea what is meant by "Rescue
first due", "Rescue second due" and so forth. But I can tell you that
whenever you have a table like this that expands "wide'n'fat" with
repeating fields (e.g. Rescue 1, 2, 3: Year 1997, Year 1998, Year 1999;
Station A, B, C), you probably have an irrelational database design.
Properly normalized database tables expand down ("tall'n'skinny"), not
across. Rescues, or Years, or Stations are data, not fields. This
business of adding multiple instances of tables to the Relationship
window (I assume, one instance for each company??? Yeesh.) is another
bad sign.
Ask yourself, what are your entities (real-life persons, places, things
or events) and their attributes (categories of information relevent to
your entities)? At a glance, it looks like you're tracking Rescue
companies and rescues, for starters. But how are table1 and table2
related? On what field(s) are they joined?
I'm assuming that each company can respond to one AND ONLY ONE rescue at
a time, but each rescue can be responded to by one OR MORE companies,
right? That looks like a one-to-many relationship to me. Without knowing
more about what specific information you are trying to get out of your
data, I'd suggest redesigning your tables: tblCompanies (CompanyID,
Location, Contact Info, and other relevent information); and tblRescues
(RescueID, CompanyID, RescueDate, RescueTime, LocationOfRescue,
NatureofRescue). Join these tables on CompanyID. You can then easily
track which companies (or how many companies) responded (or didn't
repond) to a particular emergency, or which companies responded to the
greatest number of emergencies in a given period, or in a given area,
etc. using queries. Post back if you need clarification or have other
questions.
Good luck,
LeAnne