This paper considers the issue of idle capacity cost in determining economic lot sizes. Two mathematical models are developed for the economic lot scheduling problem ( ELSP). In Model I, the ELSP with. fixed production rates is formulated under both the common cycle and time- varying lot sizes approaches. The associated constrained optimization problem in the time- varying lot sizes approach is reduced to solving a parametric quadratic programming problem. In Model II, the modified ELSP ( or MELSP) is treated with variable production rates and unit production cost of each item as a function of its production rate. An upper bound and a lower bound on the MELSP are derived. Lot- sizing decisions of the proposed models are obtained and their dependencies on the idle capacity cost are examined with numerical examples.