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机构地区:[1]西北工业大学现代设计与集成制造技术教育部重点实验室,西安710072
出 处:《航空制造技术》2017年第7期32-40,共9页Aeronautical Manufacturing Technology
基 金:国家自然科学基金(50505039)资助
摘 要:工装配送是数字化车间智能物流的关键环节,工装配送的及时、准确直接决定着生产运行的顺利与稳定。针对制造资源有限约束情况下的数字化车间,提出了包括车间现场互借以及车间工装库配送的工装配送模式。提出了一种改进的遗传算法,建立包括工位满意度、工装相似度和配送车辆数的目标函数,求解带模糊预约时间的多工位混合配送的配送方案,实现数字化车间中工装的精准配送。最后通过一个具体的生产排程,验证了算法的有效性。Tooling distribution is the key part of the intelligent logistics in the digital workshop. The timely and ac- curate distribution of the tooling decides the smooth and stable operation of the production. In consideration of the digital workshop, which has limited manufacturing resources, this paper proposed on tooling distribution mode which includes the production line tooling loan and the tooling distribution from the warehouse. An improved genetic algorithm is proposed to solve the distribution plan of mixed multi-station distribution with fuzzy due-time, whose objective function is based on station satisfaction, tooling similarity and the number of distribution vehicles, and the precise tooling distribution will be realized in the digital workshop. Finally, the validity of the algorithm is verified by a concrete production scheduling.
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