Changeable Manufacturing Systems have the capability to adapt to varying production plans and different product designs by changing their configuration and layout. This paper presents a new linear mixed integer mathematical model to maximize sustainability of Changeable Manufacturing Systems based on the daily varying energy pricing. The daily production demand of several product variants has to be satisfied by corresponding configuration of the manufacturing system. System configuration planning consists of machine arrangement and job sequencing for each planning day. The proposed linear mixed integer mathematical model is solved by CPLEX solver in GAMS software for nine different problem sizes. The new LMI model finds the optimum configuration plan and job sequence in a reasonable time, which illustrates the efficiency and practicality of the proposed model.
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