Moe T. Wynn's research while affiliated with Queensland University of Technology and other places

Publications (18)

Conference Paper
Full-text available
The continuous optimization of business processes remains a critical success factor for companies. The assisted business process redesign (aBPR) concept guides users in improving business processes based on redesign patterns. Depending on the process data at hand, it generates four types of recommendations that differ in their level of automation....
Conference Paper
Full-text available
Process mining – a suite of techniques for extracting insights from event logs of Information Systems (IS) – is increasingly being used by a wide range of organisations to improve operational efficiency. However, despite extensive studies of Critical Success Factors (CSF) in related domains, CSF studies of process mining are limited. Moreover, thes...
Chapter
Process mining facilitates analysis of business processes using event logs derived from historical records of process executions stored in organisations’ information systems. Most existing process mining techniques only consider data directly related to process execution (endogenous data). Data not directly representable as attributes of either eve...
Chapter
Asset Management (AM) processes play a significant role in organisations’ profitability. Clearly documented and managed AM processes improve the delivery potential of assets and minimise the costs and risks involved. Business Process Management (BPM) is a discipline that uses various methods, tools, and techniques to discover, model, analyse, measu...
Article
Real-life event logs, reflecting the actual executions of complex business processes, are faced with numerous data quality issues. Extensive data sanity checks and pre-processing are usually needed before historical data can be used as input to obtain reliable data-driven insights. However, most of the existing algorithms in process mining, a field...
Article
For many organizations, the continuous optimization of their business processes has become a critical success factor. Several related methods exist that enable the step-by-step redesign of business processes. However, these methods are mainly performed manually and require both creativity and business process expertise, which is often hard to combi...
Chapter
Full-text available
Although the popularity and adoption of process mining techniques grew rapidly in recent years, a large portion of effort invested in process mining initiatives is still consumed by event data extraction and transformation rather than process analysis. The IEEE Task Force on Process Mining conducted a study focused on the challenges faced during ev...
Article
Full-text available
Process mining is an active research domain and has been applied to understand and improve business processes. While significant research has been conducted on the development and improvement of algorithms, evidence on the application of process mining in organizations has been far more limited. In particular, there is limited understanding of the...
Article
Full-text available
Performance of business processes is affected by capabilities of employees who execute activities in these processes. Resource allocation approaches aim to identify an optimal allocation of resources to activities which supports the achievement of some process performance goals (e.g., in terms of time or cost). The majority of resource allocation a...
Article
Objective Study objectives were to (i) develop and test a whole-of-system method for identifying patients who meet a major trauma by-pass guideline definition; (ii) apply this method to assess conformance to the current 2006 guideline for a road trauma cohort; and (iii) leverage relevant findings to propose improvements to the guideline. Methods R...
Chapter
Timestamp information recorded in event logs plays a crucial role in uncovering meaningful insights into business process performance and behaviour via Process Mining techniques. Inaccurate or incomplete timestamps may cause activities in a business process to be ordered incorrectly, leading to unrepresentative process models and incorrect process...
Chapter
Robotic Process Automation (RPA) has taken the industry by storm in recent years. Many organisations are keen to adopt RPA technology to dramatically improve their operational efficiency and digitally transform their business operations. However, industry reports and early academic research papers on RPA have highlighted various challenges associat...
Chapter
Supply chain analytics, especially in the field of food supply has become a strategic business function. Monthly executive sales and operation planning meetings utilize supply chain analytics to inform strategic business decisions. Having identified gaps in the strategic management of food supply chains, a multi perspective supply chain analytics f...
Article
Full-text available
Healthcare organizations are confronted with challenges including the contention between tightening budgets and increased care needs. In the light of these challenges, they are becoming increasingly aware of the need to improve their processes to ensure quality of care for patients. To identify process improvement opportunities, a thorough process...
Chapter
Human resource allocation decisions have a direct impact on the performance of a business process. Many approaches to optimal resource allocation have been proposed in the Business Process Management community. The majority of these approaches aim to optimise process performance; hence, recommend activities to experienced employees. To remain compe...
Article
Full-text available
In this paper we report on key findings and lessons from a process mining case study conducted to analyse transport pathways discovered across the time-critical phase of pre-hospital care for persons involved in road traffic crashes in Queensland (Australia). In this study, a case is defined as being an individual patient’s journey from roadside to...
Article
Full-text available
Process mining has been successfully applied in the healthcare domain and has helped touncover various insights for improving healthcare processes. While the benefits of process miningare widely acknowledged, many people rightfully have concerns about irresponsible uses of personaldata. Healthcare information systems contain highly sensitive inform...

Citations

... Preprocessing is required to reduce and simplify event logs [19,20]. Preprocessing such logs before applying process mining techniques usually takes up between 40% and 80% of the total effort for most people [21]. Preprocessing is so important that the IEEE Task Force on Process Mining is currently surveying the community regarding challenges and solutions for improving event data preparation for process mining (see https://bit. ...
... The presented aBPR tool integrates this four-step procedure. The literature shows that individual steps and combinations of these steps can be (partially) automated, leaving the finalization of the redesign options with the human user [6]. This is by no means a weakness of related work in this area, but often because the approaches work with assumptions for which data may be missing in the execution. ...
... While research in this field has been mainly concerned with technical matters, several recent works called for research around managerial and organizational aspects of process mining [e.g., 10], in order to leverage the full potential of process mining [11]. Understanding the organizational perspective involved in process mining is crucial to capitalize on the possible benefits of the technology [4,7]. ...
... For example, Paschek uses artificial intelligence and machine learning methods to build core components that can detect changes, set configurations, and check during process execution based on big data to support the automation of business process dynamic adaptation method [21]. Pika applies machine learning to extract information from process execution data to form experience knowledge, which can help employees achieve optimal business resource allocation under different conditions [22]. From the perspective of effectively discovering business problems that hinder process execution, Ahn proposed a Metis+ framework that can identify potential business problems. ...
... A transport time limit of 45 min has been adopted in an Australian trauma system. 34 If a time frame can be established, it should be incorporated into EMS training programmes and field triage protocols. Furthermore, it has been reported that other factors, such as patient request, may influence the transport destination. ...
... This highlights the need to develop techniques for event logs with an emphasis on privacy and confidentiality preservation. This need was also noted from industry in a recent panel discussion [30]. Although some initial fragmented overview of the research on privacy and confidentiality exist [14,31], no comprehensive structuring of the field exists. ...
... The Process Oriented Data Science community has actively been developing techniques to support the data-driven improvement of healthcare processes. In recent years, the Process Mining community has been very active in the analysis of healthcare workflows and the identification of current challenges [25][26][27][28]. We have identified a need to bring together the best efforts made by the community to ensure that promised improvements to care processes can be achieved in real healthcare. ...
... The widespread presence of data quality issues stresses the need for the development of techniques to systematically assess and improve the quality of healthcare event logs. Recent approaches that have been developed, for example [62,[139][140][141][142], demonstrate the relevance of this research topic. A recent overview on event log quality in PM4H is presented in Martin [106]. ...
... Digital labor is replacing employees in the process of using various technologies of the 4th industrial revolution, such as big data and Artificial Intelligence (AI), in overall corporate management. This could mean that digital labor communicates with employees in natural language as a new form of labor [1,13]. A German company named 'Zurich Insurance' is a prime example of the introduction of RPA to significantly improve productivity. ...
... Note that often resource experience and performance benefit also from executing a diverse range of tasks in a process [33,42]. This is also implied by the theory of absorptive capacity at the individual level [40]. ...