How to Successfully Adopt a Data Driven Approach
Food processing plants regularly have the opportunity to collect data throughout their entire operation. However, this data is often missed or neglected. Sometimes this data is collected but not effectively used. 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. However, adopting a plant-wide data driven approach requires an effective strategy to overcome certain barriers. This blog provides an insight into overcoming these barriers.
Before addressing the barriers that prevent food processors from adopting a plant-wide data driven approach, let discuss the key benefits of the approach.
Data Ensures Food Safety for Consumers
Food safety is highly important to consumers. 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.
An example of this is food allergens (i.e. nuts, shellfish) to effectively manage food allergies. 包装食品的标签上有过敏原的数据，这是健康的. Peanut allergies are a major issue. 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. Yet, 他们没有关于生产过程中是否与坚果接触的数据, especially peanuts. 这使得消费者在大多数餐馆的食物选择范围很窄. Lately, 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, which is available on their websites.
Data Empowers the Recall Management Team
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.
Data Enhances Plant Performance
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. Thus, collecting data at key production points and making sense of the data for yield management improve plant performance.
Data Enables Process Efficiency
收集到的数据可以通过挖掘来确定作业效率, decrease production downtime, and monitor plant activity. In addition, data is a key element required to help implement the best business management practices. Data enables better decision-making, minimizes risk, and energizes stakeholders across the supply chain.
虽然数据驱动的方法提供了可靠和可测量的结果, 实现全工厂范围的数据驱动方法需要坚实的战略来克服一些关键障碍.
实现全厂数据驱动方法的障碍是什么?
Culture
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.
Resistance to Change
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, processes, and systems. In addition, the management may also be comfortable with the status quo even though they see the value in implementing a data-driven approach.
Technology Overload
Managers who are looking for new processes and technologies can quickly reach an information overload and get easily confused. They hear buzz words like, “to reduce costs”, “to improve time to market”, “to effectively compete” and “Due to government regulations”. Also, 他们将被“大数据和分析”等技术术语淹没。, “cloud”, “digital tools” and “Internet of Things”. 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.
Managers need to move past this buzz. 首先，采用整体方法评估整个业务运营. Then, 根据您的生态系统(自己的操作)收集需求, suppliers, distributors, and customers). After that attend tradeshows, 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. If required get help from a consultant.
Once you have successfully moved away from the buzz, speak with a few technology vendors to further educate. 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. It is also about people. 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.
Implementation Management
Once plant management decides to adopt a data-driven approach, 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 employee training and effectively using the data that they are collecting.
How can these barriers be overcome?
Industry-Wide Education
When it comes to the plant floor, 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. Industry organizations such as Meat & Poultry Ontario and the American Association of Meat Processors (AAMP) are a great resource when it comes to supporting the meat industry. In fact, Meat & 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. In addition industry associations, 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.
Management to Secure Employee Buy-In
Typically, people resist change. 因此，实现员工的认同是整个过程的第一步. Secondly, 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, which involves incremental process changes, credible timelines, employee training, and celebration of success to achieve a cultural shift towards using a data-centric approach to improve operational efficiencies.
Bringing about change is often a very difficult process. 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.
Select the Right Solution
To gain an advantage with the data-driven approach, food plants need to have data-collecting devices, database software, and analytical software. Also, 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. The manufacturing execution software (MES), warehouse management software (WMS) and plant floor ERP software are key pieces of the required software suite. These plant floor solutions should be able to seamlessly integrate with the back office and front office software systems, which are already in place.
Project Management via Solution Integration & Employee Training
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 required point throughout the plant floor. Also, 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. Finally, engaging an experienced and proven solution provider to configure and deliver the solution ensures a plant-wide adoption of a data-driven approach.
Carlisle Technology is the proven solution provider
数据驱动方法的成功实施可以提高效率. Carlisle Technology’s solutions are designed specifically for the meat industry and for achieving overall efficiency. Carlisle Technology’s solutions are fully integrated and streamline data collection across the entire production cycle, including receiving, processing, packaging, warehousing, shipping, and invoicing. Leverage Carlisle Technology’s more than 35 years of experience empowering the food industry with proven data collection solutions to improve food safety, traceability, and profitability.
Carlisle Technology has delivered successful plant-wide data collection systems and facilitated the data-driven approach in meat processing 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. Click Here 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.
Written by: Kamal Krishnapillai – Carlisle Technology
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