R冷链企业混流生产线排产优化研究  

Production Scheduling Optimization of Mixed-Flow Production Lines in R Cold Chain Enterprises

作　　者：杨扬[1] Yang Yang(Shandong University of Science and Technology,Qingdao Shandong 266590,China)

机构地区：[1]山东科技大学,山东青岛266590

出　　处：《现代工业经济和信息化》2024年第4期208-210,217,共4页Modern Industrial Economy and Informationization

摘　　要：以R冷链企业混流生产线为研究对象,以闲置时间与超载时间之和最小为目标建立排产优化模型。同时,考虑模型混流装配线投产的特性,采用遗传算法对模型求解。结果表明,混流生产线的投入产出比由75.5%提高至85.0%,日产量提高了11.26%,可以为冷链企业提高产能提供一定的参考。Production scheduling optimization is crucial to improving the production capacity of mixed-flow assembly lines.This paper takes the mixed-flow production line of R cold chain enterprise as the research object,and establishes a production scheduling optimization model with the goal of minimizing the sum of idle time and overload time.At the same time,considering the characteristics of the model mixed-flow assembly line being put into production,a genetic algorithm is used to solve the model.The results show that the input-output ratio of the mixed-flow production line increased from 75.5%to 85.0%,and the daily output increased by 11.26%,which can provide certain reference for cold chain enterprises to increase production capacity.

关 键 词：混流装配线 闲置时间 超载时间 遗传算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] F426.4[自动化与计算机技术—控制科学与工程]