An ongoing water supply planning problem in the Regional Municipality of Wa
terloo, Ontario, Canada, is studied to select the best water supply combina
tion, within a multiple-objective framework, when actions are interdependen
t,The interdependencies in the problem are described and shown to be essent
ial features. The problem is formulated as a multiple-criteria integer prog
ram with interdependent actions. Because of the large number of potential a
ctions and the nonconvexity of the decision space, it is quite difficult to
find nondominated subsets of actions. Instead, a modified goal programming
technique is suggested to identify promising subsets. The appropriateness
of this technique is explained, and the lessons learned in applying it to t
he Waterloo water supply planning problem are described.