Operational agility, which represents the capability of the plant/facility regarding the fast detection and adaption to the new situations facing external/internal changes, is commonly regarded as one of central-properties for Smart Process Manufacturing. Clearly, operational agility significantly affects the plant/facility performance such as profit and safety. In this work, a strategy for enhancing the operational agility of petroleum refinery plants is proposed. For this strategy, the accumulated data sets from the industrial plants as well as the high-fidelity simulation activities are firstly processed to formulate the case base with a determined structure. Fuzzy matching is adopted to evaluate the similarity between the new coming case and the potential one in the formulated case base. A new criterion, namely stability number, is proposed as the performance metric for choosing an appropriate type of Fuzzy membership function (FMF). Furthermore, an optimization model is set to optimize parameters of the selected Fuzzy membership function. The application of the proposed strategy to an industrial Fluidized Catalytic Cracking Unit (FCCU) is performed to demonstrate the relevant effectiveness.

敏捷性代表了工厂/设施在快速检测和适应外部/内部变化所面临的新情况方面的能力，通常被视为智能过程制造的核心属性之一。显然，运营敏捷性会显着影响工厂/设施的绩效，例如利润和安全性。在这项工作中，提出了一种提高石油精炼厂运营敏捷性的策略。对于此策略，首先处理来自工厂的累积数据集以及高保真模拟活动，以制定具有确定结构的案例库。采用模糊匹配的方法来评估新出现的案例与已制定案例库中潜在案例之间的相似性。一个新的标准，即稳定数，提出作为选择合适类型的模糊隶属度函数（FMF）的性能指标。此外，设置优化模型以优化所选模糊隶属度函数的参数。拟议的策略在工业流化催化裂化装置（FCCU）中的应用是为了证明相关的有效性。