• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Candy industry >Robots bring flexibility, speed to confectionery industry
【24h】

Robots bring flexibility, speed to confectionery industry

机译：机器人为糖果业带来灵活性和速度

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The value of the global food automation industry is expected to increase to $2.5 billion by 2022, mimicking similar growth in the confectionery market, according to Markets and Markets. With a projected value of over $232 million by 2022- up from more than $184 million in 2015- several factors continue to propel the confectionery industry's expansion. These include continued product innovation and diversification, a rise in gifting trends, an increase in discretionary spending in emerging markets and even retail market expansion, according to a Market Watch report. Perhaps most importantly, evolving consumer demands prompt confectionery manufacturers to vary their product ranges, including more unique, exotic and natural options. As a result, these companies must squeeze as much efficiency and flexibility out of their lines as possible. Enter robotics. While short runs and small batch production are not necessarily new to confectioners, the methodology is increasingly shifting from manual to automated operations. Robots and collaborative robots, or cobots, can precisely pick, sort, place, pack and palletize products like chocolates at high speeds, allowing confectionery brands to evolve their practices to meet demand without sacrificing efficiency.
机译：根据Markets and Markets的预测，到2022年，全球食品自动化行业的价值将增至25亿美元，与糖果市场的类似增长相仿。到2022年，预计价值将超过2.32亿美元，高于2015年的1.84亿美元，几个因素继续推动糖果业的发展。根据《市场观察》的报告，这些包括持续的产品创新和多元化，赠礼趋势的增加，新兴市场可自由支配支出的增加，甚至零售市场的扩张。也许最重要的是，不断变化的消费者需求促使糖果制造商改变其产品范围，包括更多独特，奇特和自然的选择。结果，这些公司必须尽可能地降低效率和灵活性。输入机器人。尽管短期生产和小批量生产对于糖果制造商来说不一定是新手，但方法越来越多地从手动操作转变为自动化操作。机器人和协作机器人（或称协作机器人）可以高速准确地挑选，分类，放置，包装和码垛诸如巧克力之类的产品，从而使糖果品牌在不牺牲效率的情况下发展其实践以满足需求。

著录项

  • 来源
    《Candy industry》 |2019年第1期|58-60|共3页
  • 作者

    Bryan Griffen;

  • 作者单位
  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号