In this paper the Job-shop problem is addressed as a support for a manufacturing system scheduling considering an energy consumption threshold that must not be exceeded. It is considered that an operation may consume a lot of energy at the beginning of the process (consumption peak), more than its consumption after a while, resulting in the consideration of an operation as two sub-operations. The goal is then to propose the best schedule considering the energy threshold, the consumptions of operations and duration of consumption peaks as given data. A linear model is proposed which model is based on a flow approach to solve simultaneously the power restriction and traditional time-based objectives of the Job-shop problem. An example of the schedule improvement considering consumption peaks rather than global consumption is given.

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