Enterprises are constantly transforming to adapt to an ever-changing and competitive environment. In this context, assessments allow to understand the state of different organisational aspects before performing transformation activities. One of these aspects is the capability of business processes. Evaluating the quality of business processes is relevant to guide improvement initiatives, considering that the way that processes are designed and executed in organisations has direct impact on the quality of products and services. However, assessments are expensive in terms of resources if they are performed by humans. In this sense, recent trends in Artificial Intelligence provide means to improve process capability assessment through the automation of some of its tasks. Following this line, this work presents a method to perform process capability assessment using raw text as input data with the aid of a smart system, able to reduce the need of human intervention to provide reliable assessment results. For this purpose, we introduce a hybrid approach to perform assessments in enterprises using text data as assessment evidence. The method combines the Long Short-Term Memory Network (LSTM) approach and the use of an Ontology named Process Capability Assessment Ontology (PCAO), which also contains a set of rules to calculate process attribute ratings, capability levels, among other aspects. The approach is grounded on the Smart Assessment Framework, a conceptual model devised to guide the development of intelligent assessments in enterprises. We introduce a demonstration of the assessment of a process based on the management of chemical samples from a research institute.

企业不断转型以适应瞬息万变的竞争环境。在这种情况下，评估允许在执行转型活动之前了解不同组织方面的状态。这些方面之一是业务流程的能力。考虑到流程在组织中的设计和执行方式对产品和服务的质量有直接影响，因此评估业务流程的质量与指导改进计划相关。但是，如果由人工执行评估，则在资源方面会很昂贵。从这个意义上说，人工智能的最新趋势提供了通过某些任务的自动化来改进过程能力评估的方法。沿着这条线，这项工作提出了一种在智能系统的帮助下使用原始文本作为输入数据来执行过程能力评估的方法，能够减少人为干预的需要以提供可靠的评估结果。为此，我们引入了一种混合方法，使用文本数据作为评估证据对企业进行评估。该方法结合了长短期记忆网络 (LSTM) 方法和名为过程能力评估本体 (PCAO) 的本体的使用，其中还包含一组用于计算过程属性评级、能力水平等方面的规则。该方法基于智能评估框架，这是一个旨在指导企业智能评估发展的概念模型。