CAJ | 학술논문

结合准时制生产和约束理论，以“关键设备产能”和“产品提前期”两大约束为重心，确定以关键工作中心利用率最高和提前/拖期罚款最少作为MPS模型的两个目标，提出了一种多品种、小批量生产模式下企业MPS的双目标排单模型的建立思路和方法；应用遗传算法对模型进行优化计算，通过对企业实例数据的运行结果分析，验证了方案的有效性。
결합준시제생산화약속이론，이“관건설비산능”화“산품제전기”량대약속위중심，학정이관건공작중심이용솔최고화제전/타기벌관최소작위MPS모형적량개목표，제출료일충다품충、소비량생산모식하기업MPS적쌍목표배단모형적건립사로화방법；응용유전산법대모형진행우화계산，통과대기업실례수거적운행결과분석，험증료방안적유효성。
According to Just-in-Time production and Theory of Constraints, centering on two restrictions of producing ability of key work center and production lead time, determining the maximum utilization of key work center and the least earliness/tardiness fine as the two goals of MPS model, this paper presents a double-goal MPS model based on multi-variety and small-batch enterprise. It uses GA to optimize the MPS model. Through analyzing the results of the enterprise data, GA has been proved to be effective.