Measuring process interoperability and best practices conformance for capital projects

衡量是改进的关键。二十多年来，我们曾多次尝试衡量基本工程项目的表现，并衡量符合可能导致这些表现的做法的程度。我们的合作伙伴和许多研究人员对这些测量数据的分析可以告诉我们什么非常感兴趣。基于成本和进度增长等因素的指标被用来衡量绩效。衡量符合性程度的指标通常基于因素的加权指数，这些因素的值通常由组织代表通过对相关指南的解释自行报告。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标值进行衡量。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、自动化和流程互操作性联系起来。自报数据的优点是成本低，缺点是准确性和一致性不高。基于这些数据的分析也因此受到影响。因此，科学受到了影响。然而，随着自动化工作流引擎等信息技术的出现，现在已经有可能提高准确性，并部分自动化流程和实践一致性以及互操作性的测量。这就是拟议研究的目的。基于流程挖掘、界面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导方针，以降低成本和更准确地衡量基本项目的流程互操作性和最佳实践符合性。其影响将是资本项目更有效的业绩改进计划。

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.