Business Process Modeling Language for Performance Evaluation

Lodhi, Azeem; Köppen, Veit; Wind, Stefan; Saake, Gunter; Turowski, Klaus

doi:10.1109/hicss.2014.469

Cited by 12 publications

(7 citation statements)

References 18 publications

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“…Utilize TD-ABC [20], [55], [73] 3 (4%) Utilize RCA [56], [62] 2 (3%) Group costs by levels (high, medium, low, etc.) [24], [80] 2 (3%)…”

Section: (12%)mentioning

confidence: 99%

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A Systematic Literature Review of the Analysis of Costs and Other Dimensions in Process Mining and Related Disciplines

Velásquez,

Gómez-Herrera,

Sepúlveda

2024

IEEE Access

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Process mining allows the discovery, monitoring, and improvement of processes through records of their executions. When used for discovery, models depicting the process behavior can be obtained and then analyzed through a performance perspective, focusing on performance indicators for the dimension of interest. In process mining, there has been scarce research on the analysis of some dimensions, such as the cost dimension. A systematic literature review has been conducted to identify the methods used for analyzing the cost dimension in process mining and other process-oriented disciplines, the dimensions considered jointly with costs, and how such a joint analysis is carried out. The review identified 68 publications. The results indicate ample research within distinct disciplines, like business process management and cost management, regarding the costs of performing processes, their reporting and forecasting. However, there is a need to further enrich their visualization and analysis, and to provide cost-aware operational support. Moreover, the utility of further researching cost analysis jointly with other dimensions, like time, flexibility, and quality, is also observed. These results provide a structured focal point of research that can be considered when analyzing costs from a process perspective and the identification of research gaps within this domain.

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“…Utilize TD-ABC [20], [55], [73] 3 (4%) Utilize RCA [56], [62] 2 (3%) Group costs by levels (high, medium, low, etc.) [24], [80] 2 (3%)…”

Section: (12%)mentioning

confidence: 99%

“…An alternative category to include cost analysis with a process perspective is to group costs into several ranges. This is done by the authors of [24] and of [80]. In both publications, the followed procedure is similar, starting with a BPMN model, followed by a classification of costs (low, medium, or high).…”

Section: (12%)mentioning

confidence: 99%

A Systematic Literature Review of the Analysis of Costs and Other Dimensions in Process Mining and Related Disciplines

Velásquez,

Gómez-Herrera,

Sepúlveda

2024

IEEE Access

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“…The performance is usually evaluated in the form of quantitative measurements which help to indicate about quality. Business processes and its elements are evaluated in different dimensions like time, cost, and quality (Lodhi et al 2014). For each of these performance dimensions different key performance indicators can be defined such as (van der Aalst 2013a): lead time, service time, waiting time, resource utilisation, number of complains or number of product defects, etc.…”

Section: Robotic Process Automation and Business Process Managementmentioning

confidence: 99%

The performance assessment framework (PPAFR) for RPA implementation in a loan application process using process mining

Šperka

Halaška

2022

Inf Syst E-Bus Manage

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When a company decides to automate its business processes by means of RPA (Robotic Process Automation), there are two fundamental questions that need to be answered. Firstly, what activities should the company automate and what characteristics make them suitable for RPA. The aim of the presented research is to design and demonstrate a data-driven performance framework assessing the impact of RPA implementation using process mining (PPAFR). Firstly, we comment on and summarise existing trends in process mining and RPA. Secondly, we describe research objectives and methods following the Design Science Research Methodology. Then, we identify critical factors for RPA implementation and design process stages of PPAFR. We demonstrate the design on real data from a loan application process. The demonstration consists of a process discovery using process mining methods, process analysis, and process simulation with assessment of RPA candidates. Based on the research results, a redesign of the process is proposed with emphasis on RPA implementation. Finally, we discuss the usefulness of PPAFR by helping companies to identify potentially suitable activities for RPA implementation and not overestimating potential gains. Obtained results show that within the loan application process, waiting times are the main causes of extended cases. If the waiting times are generated internally, it will be much easier for the company to address them. If the automation is focused mainly on processing times, the impact of automation on the overall performance of the process is insignificant or very low. Moreover, the research identified several characteristics which have to be considered when implementing RPA due to the impact on the overall performance of the process.

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“…The performance perspective of business processes, however, has been disregarded up to date and, as far as we know, there are not solid proposals that address variability in it. This perspective is concerned with the definition of performance requirements addressing different performance dimensions such as time, cost and quality [22], and it is usually expressed as a set of Process Performance Indicators (PPIs). PPIs are quantifiable metrics that allow the evaluation of efficiency and effectiveness of business processes and can be measured using data generated within the process [23].…”

Section: Introductionmentioning

confidence: 99%

Modeling Variability in the Performance Perspective of Business Processes

et al. 2021

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The modeling and management of business processes often leads to the definition of several variants of the same process. This variability can be reflected in different process perspectives such as control-flow, data, resources or performance. The management of process variants can be a laborious, timeconsuming and error-prone task since they require a high coordination in the management of each variant and in most cases this management is done manually. For this reason, many proposals have been developed to deal with the variability of business processes. However, none of them covers in detail the variability in the performance perspective, which is concerned with the definition of performance requirements usually specified as a set of Process Performance Indicators (PPIs). This variability can be reflected in the form of repetitive and redundant PPI definitions, and can lead to errors and inconsistencies in PPI definitions. To address this problem, in this article we propose a detailed PPI variability classification and a formalization of how PPIs can be modeled together with the variability of other process perspectives. To this end, we considered variability management approaches, called by restriction and by extension, and we illustrated our proposal by integrating it with existing variability modeling languages. An evaluation conducted in two scenarios shows the feasibility and usefulness of our proposal.

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Business Process Modeling Language for Performance Evaluation

Cited by 12 publications

References 18 publications

A Systematic Literature Review of the Analysis of Costs and Other Dimensions in Process Mining and Related Disciplines

A Systematic Literature Review of the Analysis of Costs and Other Dimensions in Process Mining and Related Disciplines

The performance assessment framework (PPAFR) for RPA implementation in a loan application process using process mining

Modeling Variability in the Performance Perspective of Business Processes

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