Abstract
Scheduling is one of the most important functions in managing industrial production. This article deals with the scheduling for the flow-shop production system planning by presenting a model that uses the framework of multiple criteria and multiple constraint levels ([Formula: see text]) linear programming, aiming at advancing the adaptation of the model to the situation when there are more than one decision makers in the system. At first, a flow-shop production system planning model with multiple constraint levels is proposed considering fluctuation in resource constraints such as the investment constraint and time constraint. Then, an improved algorithm is proposed. Finally, an example about production scheduling of an actual production is given, and the computational results are presented.
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