Flow shop scheduling under Time-Of-Use electricity tariffs using fuzzy multi-objective linear programming approach

Given the reduction of non-renewable energy resources and increase of energy costs during recent years, developing an efficient scheduling model considering energy consumption is necessary in manufacturing systems. this paper is dedicated to flow shop scheduling problem under time-of-use electricity tariffs. in this regard, a bi-objective mixed-integer programming model is formulated for the problem. two objectives, namely, the minimization of the total electricity cost and the sum of earliness and tardiness of jobs, are considered simultaneously. the bi-objective model is converted into an equivalent single objective linear programming model using fuzzy multi-objective programming approach. the cplex solver in gams software is used to solve the proposed model for an instance. the numerical example shows that the proposed model is reasonable and applicable.