In the manufacturing sector, computer simulation has been used for many yea
rs to support complex decisions such as automation of processes or planning
new factories. Clinical laboratories and diagnostic manufacturers are also
faced with the challenges of automation and process redesign that will fun
damentally change the way work is performed and the net economic impact of
those changes. The question arises as to how we can minimize the risks, exp
lore options, and make the right decisions. In this report, we present an o
verview of how simulation modeling can assist with laboratory decision maki
ng. (C) 1999 John Wiley & Sons, Inc.