Technology-enabled collaboration has been one of the long-promised but seldom delivered benefits of enterprise-level software. Among the primary reasons why collaboration has been so difficult to deliver are cultural issues and support from senior management. An equally important factor is the lack of connection between functions across the value chain.
Connecting these dots is what AVEVA is focusing on with its Value Chain Optimization solution.
During a presentation at the AVEVA World Conference in Orlando this week, Harpreet Gulati, Senior Vice President of Planning & Operations at AVEVA, noted that AVEVA is the only software company delivering end-to-end value chain integration and collaboration capabilities.
AVEVA Value Chain Optimization is delivered across industry verticals in packaged software stacks featuring industry-specific templates so that users can apply the best practices relevant to their vertical. “We differ from other technology suppliers in the market in that we connect multiple tools—from production planning and monitoring and control to corporate and investment planning—to link operations analytics, targets, and plans to actual operations data, fiscal targets, and strategic decisions,” Gulati said. “We condense these functions into a unified value chain for one version of truth contained in one database with hooks between business and operations modules as well as external systems. We’re doing the same thing SAP did for the financial industry by connecting and integrating operations that were historically separate.”
Gulati说：“价值链活动进行协作至关重要，因为“工厂中的每个人都在试图最大限度地利用自己的工具来实现自己的工作，而管理层则希望全部浏览这一切，” Gulati说。“因此，业务工作流视图与现实不匹配，因为传统点解决方案需要手动数据传输以及自定义代码和支持。价值链优化旨在减少这些孤岛。通过连接整个价值链，我们可以在上游和下游启用跨功能的协作。
古拉蒂指出，AVEVA值链优化也扩展到其移动解决方案。与该领域工人的这种联系可以推进数字工作流程管理，并包括触发自动化过程以加速过程改进。详细的分析和报告将支持移动设备的现场工作者的输入连接到整个价值链中。也可以创建自定义应用程序，以简化所需工作流程的移动工人的操作。
Another unique aspect of AVEVA Value Chain Optimization is its Enterprise Knowledge Management feature—a database where specific points of knowledge can be stored and searched. Gulati explained that user insights are added to the database whenever a user adds an alert or note in the software. As other users interact with these applications, alerts—driven by these previously entered notes—are sent to users based on relevance to their job duties.
古拉蒂说：“在当今的整个连接的价值链中，仍然有许多手动过程。”“意识到这一点，我们问：为什么我们不能从过去的经验中学到向用户提出建议？这就是我们使用此企业知识管理数据库所启用的。我们正在通过人工智能和机器学习管理其应用程序，以不断改进其应用。市场上没有其他人将人工智能建立在决策的背景下。”
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“透露估计它救了60美元和10美元之间0 million in optimizations from a single run of AVEVA’s software here,” said Gulati. “This was value leaking from the company that had not been realized before,” he said.
