光伏电池片生产车间产能动态规划与AGV配置问题研究  

Research on Dynamic Productivity Planning and AGV Configuration of Photovoltaic Cell Production Workshop

作　　者：李昆鹏[1] 韩雪芳 LI Kunpeng;HAN Xuefang(School of Management,Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]华中科技大学管理学院,湖北武汉430074

出　　处：《运筹与管理》2024年第8期30-36,共7页Operations Research and Management Science

摘　　要：光伏是新能源战略的重要支撑,电池片作为其重要组件,市场需求巨大。由于光伏电池片生产工序及设备较多,设备故障时有发生,从而影响生产效率。当前普遍采用人工规划产能的模式,无法及时应对生产中断及计划调整。同时,相关制造企业纷纷引入自动导引小车(AGV)等自动化设备保障高效生产,但设备高成本使企业面临资金压力。在此背景下,本文基于一家典型的电池片制造企业实际生产问题,研究产能动态规划与AGV配置方案。首先,考虑机台故障与缓存,以最大化产能为目标建立数学模型。其次,基于约束理论,提出三种缓存使用策略下的产能动态规划算法。此外,本文提出AGV配置算法,计算不同生产条件下车间AGV的最优数量。实验结果验证了“优先考虑使用缓存”策略的有效性,并分析了AGV搬运时间对产能和数量的影响。研究成果不仅能够帮助电池片制造车间实时规划产能,决策AGV配置方案,还能拓展应用到其他产能不平衡车间的生产与物流调度场景。For the past years,as the market size of the photovoltaic industry has continued to expand,the demand for battery cells as the core component of photovoltaic power generation has increased significantly.However,the production technology of photovoltaic cells is complex,involving multiple processes and precision machinery.Photovoltaic cell manufacturers are generally challenged by high costs and low efficiency.On the one hand,in the photovoltaic cell manufacturing workshop,different processes have different numbers of machines and processing speeds,and the maximum productivity of the workshop is limited by the productivity of the bottleneck process.It is a challenge for the photovoltaic cell production workshop to balance the productivity of machines in different processes and ensure the maximum production efficiency of bottleneck processes.In addition,due to a large number of machines in the workshop,it is difficult to repair and maintain them in a timely manner,and the workshop inevitably encounters unexpected accidents such as machine breakdowns.This may cause the bottleneck process to shift,which in turn causes production reduction,production stoppage and other problems,resulting in reduced workshop productivity and wasted production resources.Therefore,after the machine breakdown,adjusting the production speed of other machines is particularly important.But in fact,most enterprises still rely on manual to plan the workshop productivity.This method lacks science and timeliness,and cannot meet the enterprise cost reduction and efficiency of the real needs.On the other hand,with the promotion and implementation of intelligent manufacturing,automatic guided vehicle(AGV)as an important symbol of factory intelligence,has become the main material handling tool in the production workshop of photovoltaic cells.AGVs have the advantages of high efficiency and accuracy,but their purchase cost is also a major challenge for most companies.Therefore,making a reasonable decision on the number of AGVs to be purchased has beco

关 键 词：缓存策略 机台故障 产能规划 启发式算法 

分 类 号：F273[经济管理—企业管理]