TY  - JOUR
PY  - 1989//
TI  - Monitoring workplace safety: Nonlinear optimization in a statistical model
JO  - Mathematical and computer modelling
A1  - Chapman, G.R.
A1  - Knop, L.E.
SP  - 695
EP  - 705
VL  - 12
IS  - 6
N2  - Given a cluster of enclosed work areas, the problem is to maintain frequent monitoring of the atmosphere in each area for hazardous levels of contaminants. A central mass spectrometer is capable of doing this monitoring, provided it can be used efficiently. Mathematically, a mass spectrometer may be modeled by a general linear statistical model where the unknowns are the concentrations of the possible contaminants and the observations are the gate readings of the number of ions with a chosen mass/charge ratio. The accuracy of the observations depends on time, and the necessity for frequent monitoring imposes a time constraint. The mathematical problem can be formulated as a problem in the theory of optimal experimental designs. This paper will present a theoretical solution to the problem, an algorithm to implement that solution and some empirical results obtained from the implementation.<p />
LA  - 
SN  - 0895-7177
UR  - http://dx.doi.org/10.1016/0895-7177(89)90355-5
ID  - ref1
ER  -