通过业务自动化优化操作

As market dynamics change and global competition intensifies, manufacturers are examining all corners of the organization to figure out how to cut costs and increase productivity without impacting the efficiency or safety of the factory. In an effort to help, many industrial control companies are extending automation capabilities by coupling software to address business processes, thus elevating overall operational efficiency.

本周在奥兰多的ARC论坛上横川电力公司., announced its contribution to business process optimization with the release of its Operations Management software designed to record and manage the data related to the work performed by plant personnel.

The offering is part of the company’s new business concept called突触业务自动化，这是为了通过将从数据到系统到服务再到供应链以及人员的所有内容来为客户创造价值。突触名称基于“突触”一词，这是神经系统中的结构，在信号转移到身体其他部位中起作用。同样，突触业务自动化被设计为基于累积知识数字化和标准化数据的一种方式，然后促进工厂地板上组之间的信息交换。

基础技术来自KBC Advanced Technologies的领域知识，Yokogawa于2016年获得。KBC是全球石油和天然气行业的软件和咨询提供商。它的重点是实现卓越运营，并提高上游（石油生产）和下游（石油炼油厂和综合炼油和石化生产综合体）细分的盈利能力。利用KBC专业知识和自动化产品的横川投资组合，突触产品集中在四个关键领域，包括供应链，资产运营，资产管理和诚信以及运营风险管理。

The Operations Management software, in particular, can help improve reliability and safety by ensuring the workforce has the information they need to carry out tasks correctly. It is meant to support safe and secure operations, but it can also record event actions and the work carried out based on work instructions, enabling the retrieval and use of information from skilled operators. In addition to oil and gas, the software can be used in other process industries including chemical, power, pulp and paper, food, pharmaceuticals and water/wastewater.

横山川高级解决方案副总裁西蒙·罗杰斯（Simon Rogers）在新闻发布会上说：“自动化业务流程是市场上独特的能力。”“它为客户带来了快速，持续的价值。”

这是因为人为因素通常会出现紧急关闭和其他影响植物运营效率的问题。在许多情况下，工作说明是通过口头交流或书面文件来完成的。这可以使无法实时检查工作进度。此外，在添加信息时可能会犯错误，并且很难找到过去操作的记录，这导致对运营管理解决方案的需求日益增长，以提高效率，安全性和知识保留。

横川的运营管理软件将工作说明数字化，包括事件管理和变更管理，并包括直观的用户界面，使用户只需一眼就能理解操作的状态。

Key Performance Indicators (KPIs)—which Yokogawa refers to as Synaptic Performance Indicators (SPIs), as they are based on KBC’s domain knowledge and experience working with Big Data— cover areas of improvement in management (production, energy costs, maintenance costs, margins and incidents), engineering (yield or quality, performance, energy consumption, availability) and operations (control performance, process performance, asset performance, alarms). When applied, these will transform a business into a profit-driven organization vs. an event-driven operation, Yokogawa officials said.