  In this paper, a new model based on Data Envelopment Analysis (DEA) and
Inverse Data Envelopment Analysis (IDEA) is presented for estimating the effect
of electricity on the output of industrial companies. To this end, the effect
of electricity deviation, which serves as one input that can influence a
manufacturing company's final product, is evaluated. Intuitively, it is known
that a direct relationship exists between electricity consumption and the
output of the manufacturing company. However, finding a function that
accurately represents this relationship is not easy. To check the applicability
of the proposed method, it is tested on data from eight major vehicle
manufacturing companies. In this model, labor hours, electrical energy
consumption, and the value of raw materials are used as inputs, and the sales
value is used as the proxy for the output of the company. These input and
output data are used to find the efficiency of each company. Then, by changing
the electricity consumption level, the output changes are derived. To calculate
the outage cost, the deviation of the output is divided by the deviation of the
electricity consumption, and the outage cost is estimated.
