Measuring process interoperability and best practices conformance for capital projects

测量对于改进至关重要。二十多年来，我们已经做了大量的尝试来衡量资本项目的绩效，并衡量可能导致这种绩效的实践的一致性程度。 我们的合作伙伴和许多研究人员对这些测量数据的分析能告诉我们什么非常感兴趣。基于成本和进度增长等因素的可持续发展被用来衡量绩效。衡量遵守程度的标准通常是基于因素的加权指数，其值通常由组织的代表通过解释相关的准则自行报告。信息技术的自动化、一体化和互操作性也越来越多地根据自我报告的指数值来衡量。随后对这些数据的统计分析试图将项目绩效与实践一致性、自动化和过程互操作性联系起来。自报数据具有成本低的优点，但准确性和一致性较差。基于这些数据的分析也相应受到影响。因此，科学是痛苦的。然而，它现在已经成为可能的信息技术的出现，如自动化的工作流引擎，以提高准确性和部分自动化的过程和实践的一致性以及互操作性的测量。这是拟议研究的目标。基于流程挖掘、接口管理和行业基础流程的发展，我们建议开发自动化方法和通用指南，以降低资本项目流程互操作性和最佳实践一致性的成本和更准确的测量。其影响将是资本项目更有效的绩效改进方案。

Measurement is critical to improvement. For over two decades, we have made numerous attempts to measure capital projects performance and to measure the degree of conformance to the practices that may have led to that performance. Our partners and many researchers are intensely interested in what analysis of these measurements data can tell us. Metrics based on factors such as cost and schedule growth are used to measure performance. Metrics to measure degree of conformance have typically been based on weighted indices of factors for which the values are normally self-reported by organizations' representatives through interpretation of associated guidelines. Automation, integration and interoperability of information technologies are increasingly being measured based on self-reported index values as well. Subsequent statistical analyses of these data try to relate project performance with practice conformance, automation and process interoperability. Self-reported data have the advantage of low cost and the disadvantage of low accuracy and consistency. Analyses based on these data suffer accordingly. Thus the science suffers. However, it has now become possible with the emergence of information technology such as automated workflow engines to improve the accuracy and partially automate the measurement of process and practice conformance as well as interoperability. This is the objective of the proposed research. Building on developments in process mining, interface management and industry foundation processes, we propose to develop automated methods and general guidelines for lower cost and more accurate measurement of process interoperability and best practices conformance for capital projects. The impact will be more effective performance improvement programs for capital projects.