With the rising concern of vitality scarcity and surroundings air pollution, the vitality conscious operation administration downside has emerged as a sizzling subject in industrial engineering lately. An built-in mannequin consisting of manufacturing scheduling, preventive upkeep (PM) planning, and vitality controlling is established for the movement outlets with the PM constraint and peak demand constraint. The machine’s on/off and the pace stage choice are thought-about to save lots of the vitality consumption on this downside. To attenuate the makespan and the overall vitality consumption concurrently, a multi-objective algorithm based on NSGA-II is designed to resolve the mannequin successfully. The important thing choice variables are coded into the chromosome, whereas the others are obtained heuristically utilizing the proposed decoding methodology when evaluating the chromosome. Numerical experiments had been carried out to validate the effectiveness and effectivity by evaluating the proposed algorithm and the normal guidelines in manufacturing plant. The impacts of constraints on the Pareto frontier are additionally proven when analyzing the tradeoff between two targets, which can be utilized to explicitly assess the vitality consumption.