如何成功采用数据驱动的方法
Food 处理 plants regularly have the opportunity to collect data throughout their entire operation. 然而，这些数据经常被遗漏或忽视. 有时这些数据被收集了，但没有得到有效的利用. 当今的技术解决方案能够以更低的成本更轻松地收集和分析数据. 数据驱动的食品工厂运营方式正在成为行业规范. 然而, adopting a plant-wide data driven approach requires an effective strategy to overcome certain barriers. 这篇博客提供了如何克服这些障碍的见解.
Before addressing the barriers that prevent food processors from adopting a plant-wide data driven approach, 让我们讨论一下该方法的主要好处.
数据确保消费者食品安全
食品安全对消费者来说非常重要. An important development in improving food safety has been the application of the hazard critical control point concept (HACCP), 哪一个需要从生产到分配再到消费的数据收集. 因此，在食品供应链中收集了大量的数据. 通常情况下，加工商有这些数据，但消费者仍然不知道他们的食物来自哪里. There are only a few premium quality brands that provide farm or animal data to consumers on their products.
食物过敏原就是一个例子.e. 坚果，贝类)来有效地控制食物过敏. 包装食品的标签上有过敏原的数据，这是健康的. 花生过敏是一个主要问题. It can be an impossible task for someone with a peanut allergy to identify nut-free food while eating out in restaurants. 这是因为餐馆只有食物成分的信息. 然而,, 他们没有关于生产过程中是否与坚果接触的数据, 特别是花生. 这使得消费者在大多数餐馆的食物选择范围很窄. 最近, 这种情况正在改变，因为一些大型连锁餐厅已经创建了包含过敏原数据的特殊菜单, 他们的网站上有哪些.
数据授权召回管理团队
召回可能会损害加工商的品牌，并引发昂贵的诉讼. Adopting a recall management practice with a data-driven approach is a great way for staying on top of the recall process. 数据驱动的方法允许在关键生产点收集数据. 该数据提供了召回管理团队所需的可追溯性级别. 这种全厂范围的数据驱动的可追溯性使团队能够在召回时迅速采取行动.
数据提高工厂性能
拥有准确的胴体产量数据是为生产者提供有价值见解的关键. 即使是少量的浪费也会导致大量的产品损失. 因此，产量报告和分析是生产经理日常工作的重要组成部分. 因此, collecting data at key production points and making sense of the data for yield management improve plant performance.
数据提升流程效率
收集到的数据可以通过挖掘来确定作业效率, 减少生产停机时间, 监测植物活动. 此外，数据是帮助实现最佳业务管理实践所需的关键元素. 数据有助于更好的决策, 最大限度地减少风险, 并激励整个供应链的利益相关者.
虽然数据驱动的方法提供了可靠和可测量的结果, achieving a plant-wide data driven approach requires solid strategies to overcome a few key barriers.
实现全厂数据驱动方法的障碍是什么?
文化
Lack of culture and vision in the digital production platform domain are strong barriers to the adoption of a data-centric approach. Digital eco-systems can only work if all stakeholders can value the use of data and see the strategic importance of the data-driven approach to their company and customers.
抗拒改变
不管是什么行业，变革总是会遇到一定程度的阻力. 在这里，我们面对的是已经非常适应你目前做法的员工, 流程, 和系统. 除了, the management may also be comfortable with the status quo even though they see the value in implementing a data-driven approach.
技术过载
Managers who are looking for new 流程 and technologies can quickly reach an information overload and get easily confused. 他们听到的流行语是, “降低成本”, “缩短上市时间”, “为了有效竞争”和“由于政府管制”. 也, 他们将被“大数据和分析”等技术术语淹没。, “云”, “数字工具”和“物联网”. 当谈到有效地收集和使用食品工厂的数据时, 处理器需要的制造工艺和技术超越了这些流行语. 解决方案应该与肉类加工业相关，并且是专门为肉类加工业设计的.
管理者们需要摆脱这种嗡嗡声. 首先，采用整体方法评估整个业务运营. 然后, 根据您的生态系统(自己的操作)收集需求, 供应商, 分销商, 和客户). 之后参加贸易展览, 收听供应商网络研讨会和/或行业播客，了解技术和流程. 最后，评估可用的产品并确定经过验证的技术和流程. 如果需要，可以向咨询师寻求帮助.
一旦你成功地远离了嗡嗡声, 与一些技术供应商交谈以进一步了解. With this collective knowledge refine your requirements then moved forward with the technology vendor selection process.
记住，转型或变化不仅仅是技术的问题. 它也与人有关. 将您的团队中的人员与供应商的团队相匹配是非常重要的.
实现管理
一旦工厂管理层决定采用数据驱动的方法, 在实施过程中不可避免地会遇到障碍. Many of the barriers they will experience are directly related to 员工培训 and effectively using the data that they are collecting.
如何克服这些障碍?
全行业的教育
当谈到工厂车间时, 许多肉类加工者使用过时的技术和做法进行养殖. 有时，生产过程记录在纸上或Excel模板中. 肉类等行业组织 & Poultry Ontario and the American Association of Meat Processors (AAMP) are a great resource when it comes to supporting the meat industry. 事实上，肉类 & 安大略省家禽协会最近举办了一个工业日，重点介绍了许多自动化技术. They demonstrated to processors various tools that are available to help implement and calculate the ROI of automation. Industry associations are great resources that can help processors achieve their data-collection goals. 此外，行业协会, meat processors can take advantage of multiple sources of literature on the effective use of data and the strategic importance of a data-driven approach to serving consumers better and improving profits.
确保员工参与的管理
一般来说，人们抗拒改变. 因此，实现员工的认同是整个过程的第一步. 其次, selecting an in-house project champion helps to mobilize the team to embrace the data-driven approach.
执行团队应该专注于获得不同用户群体之间的合作. 他们不应该将此视为技术实现练习. 这应该作为一个变更管理程序来看待和执行, 哪一个涉及到增量过程变更, 可靠的时间表, 员工培训, and celebration of success to achieve a cultural shift towards using a data-centric approach to improve operational efficiencies.
带来改变往往是一个非常困难的过程. A consultative approach combined with the expertise of the right solutions provider can help to break down silos and embrace change. People can be energized by having an outside change management consultant along with project champion(s), 这也将简化实施过程，确保成功.
选择正确的解决方案
通过数据驱动的方法获得优势, 食品厂需要有数据收集设备, 数据库拉菲2注册登录, 分析拉菲2注册登录. 也, 它们需要将技术和人员结合起来收集数据的最佳实践. 这些设备通常包括秤、扫描仪、打印机、计算机、移动设备等等. 制造执行拉菲2注册登录(MES), warehouse management software (WMS) and plant floor ERP software are key pieces of the 要求 software suite. These plant floor solutions should be able to seamlessly integrate with the back office and front office software systems, 哪些已经到位.
通过解决方案集成进行项目管理 & 员工培训
需要强大的项目管理来将各种技术和最佳实践结合起来. Solution integration is the best method for implementing a plant floor data-collection system consisting of hardware and software. A fully integrated solution provides plant operators with data collection at each 要求 point throughout the plant floor. 也, this approach limits risk and brings proven practices to identify the ideal data collection points in the plant. 解决方案集成有助于确定正确的方法来理解收集到的数据.
Teams need to be trained on how to place the right data collection device at the right collection point, and on how to make sense of the data for improving the operational efficiencies within the food plant. 员工培训是成功实施数据驱动方法的关键. 最后, engaging an experienced and proven solution provider to configure and deliver the solution ensures a plant-wide adoption of a data-driven approach.
拉菲2在线登录注册是久经考验的解决方案提供商
数据驱动方法的成功实施可以提高效率. 拉菲2在线登录注册’s solutions are designed specifically for the meat industry and for achieving overall efficiency. 拉菲2在线登录注册’s solutions are fully integrated and streamline data collection across the entire production cycle, 包括接收, 处理, 包装, 仓库, 航运, 和发票. Leverage 拉菲2在线登录注册’s more than 35 years of experience empowering the food industry with proven data collection solutions to improve food safety, 可追溯性, 和盈利能力.
拉菲2在线登录注册 has delivered successful plant-wide data collection systems and facilitated the data-driven approach in meat 处理 plants across North America. Symphony是完全集成的数据收集解决方案中的关键拉菲2注册登录. 点击这里 要求演示该拉菲2注册登录如何将所有数据组件编译成一个集中的数据库, providing real-time insight into daily production and complete visibility into the entire plant floor operations.
作者:Kamal Krishnapillai - 拉菲2在线登录注册
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