The New Definition of MES under the Trend of Intelligent Manufacturing - Five Necessary Conditions for MES Implementation
In today's booming era of intelligent manufacturing and the urgent need for transformation and upgrading of traditional manufacturing enterprises, how should MES better support the manufacturing industry's demand for intelligent manufacturing? In addition to interconnected applications with cloud computing, cloud platforms, the Internet of Things, the Internet and other information technologies, the manufacturing MES system should take business process reengineering and lean management as the main line, combine the actual situation of the enterprise, build a MES system with data standardization, information interconnection, intelligent analysis, and effective decision-making, and build a "new four modernizations" intelligent workshop and intelligent factory of "lean production+equipment automation+data standardization+management informatization", laying a solid foundation for the intelligent transformation and upgrading of manufacturing enterprises.
Based on the above content, in order to achieve the ultimate goal of intelligent manufacturing, MES must have the following five necessary conditions in the era of intelligent manufacturing, with MES taking the lead.
1. Implement and execute
The reason why MES is called a production execution system emphasizes the implementation of enterprise information management at the workshop and factory levels, and focuses more on the execution and feedback of information instructions, demonstrating the effective operation of workshop level production scenarios.
Based on the actual situation of the workshop, the ERP production plan decomposes each process into each line and equipment, and executes and tracks the time points to reflect the production and order process in real time, achieving transparent and precise management;
Within the workshop, a fully closed-loop management system is formed, including planning and scheduling, process push, job execution, data collection, information tracing, work in progress management, quality management, etc., ultimately achieving data analysis and management decision-making. Therefore, MES is not a simple information management system.
2. Lean runs through the entire process, with business process optimization as the core, establishing standardized business processes
Lean management is a basic condition for enterprise operation. By establishing standard business processes, it solves the problem of disorderly management in the operation mode of enterprises. Under standardized processes and combined with the enterprise's own situation, it builds a suitable MES system. Lean runs through the entire process, achieving the integration of lean and MES. Lean management sets the benchmark for the smooth deployment of MES, while using MES as an information technology tool to solidify the achievements of lean management and promote the rapid and stable implementation of lean management and MES systems in enterprises. For example:
Through lean management, create a continuous flow model of lean flexible production line to achieve the production of product "flow";
◆分析计划逻辑，构建产品产线的关系，让计划的逻辑的简单明了；
◆优化计划排产方案，自动排产规则、快速解决紧急插单等问题、确保生产计划最优；
◆准确分析非增值劳动，不断优化生产过程、提高生产效率、降低生产辅助成本；
◆工艺流程优化及工艺标准化过程，实现多产品共线，增强柔性能力；
◆建立生产线物流规则、搬运规则、在制品管理、有效质量管理标准；
◆实现生产目视化管理、信息最大程度透明化；
◆实现生产数据及时、准确反馈，提供科学决策基础。
在进行精益管理的同时，结合行业及企业的特点，必要时需要企业引入自动化设备，将自动化设备与精益生产线的规划设计紧密联系在一起，充分发挥单台设备与精益生产线整体的效率，使企业在迈向智能制造的路上始终处于领先地位。
3.构建数据模型，形成数据规范
生产标准化业务的运行，在MES中的集中表现就是数据的运行，包括数据的收集、数据的反馈、数据的分析。一套标准的数据模型与规范对于数据运行的效率提升至关重要。数据模型的建立主要在以下几个方面：
建立产品及业务关系的数据模型，构建产品及业务关系规则，形成标准化的数据格式，数据规范统一，数据规则统一。
◆建立产品的数据模型，构建出产品、产线、工序、工艺、物料的数据关系，形成企业自有的产品体系。让生产的产品可利用，可复制，可迭代；形成以产品连接销售端，驱动生产端的运营模式。
◆建立业务规则数据模型：对标准化的业务规则要点进行梳理提取，建立业务与业务之间的逻辑关系，并对业务规则进行数字化建模管理，为MES的有效运行奠定基础。
◆提取数据为企业带来价值，针对数据建立分析及决策逻辑，形成管理有效。
4.MES的打造要紧跟智能制造趋势
打造智能化车间，就是要将设备等硬件与MES等软件充分结合，发挥自动化、数字化、网络化、智能化的优势，打造出软硬结合、具有CPS特色的智能化MES系统。
智能化MES系统将分别从计划源头、过程协同、设备底层、资源优化、质量控制、决策支持等方面着手，实现生产过程的自动化、数字化、网络化、智能化的管理与控制，完成智能计划排产、智能互联互通、智能生产协同、智能资源管理、智能质量控制和智能决策支持的各项功能。
5.落地是关键核心
企业实施MES系统，即便是理论再先进，软件再智能，但如果不能得到成功的应用，对企业而言，结果就是零，甚至产生消极影响。因为这不但浪费企业人力、物力，影响企业的生产，而且严重地打击企业对信息化与智能化的信心。
MES在企业智能化转型升级中发挥着越来越重要的作用。一方面，我们既要认真分析企业自身对MES的内在需求和理解，做适合自身的业务场景；另一方面，要有改善的决心和毅力，抱定成果的理想，真正能落实到现场的各个环节。同时在落实中不断完善及优化，最终让MES真正成为企业智能制造的核心系统，满足转型升级的需求。
消息来源：天津爱波瑞科技发展有限公司
