scholarly journals Business Process Failure Prediction: a case study

2019 ◽  
Author(s):  
Pedro O. T. Mello ◽  
Kate Revoredo ◽  
Flávia Santoro
Keyword(s):  
Business Process ◽  
Business Processes ◽  
Historical Data ◽  
Process Mining ◽  
Risk Mitigation ◽  
Incident Management ◽  
Dynamic Nature ◽  
Process Failure ◽  
Business Process Monitoring

Business process monitoring aims at maintaining the reliability of process executions. However, the dynamic nature of business processes hinders a proactive scenario in which risk mitigation actions can occur before the facts that put the process at risk. Thus, some premises are necessary such as the identification of situations and patterns in historical data of the processes execution in order to characterize what determined the failures. In this paper, we address the problem of how to identify and detect patterns of behaviors that can lead the processes to a failure situation. As a solution, a combination of well-established techniques from Data and Process Mining fields are applied in a case study of an incident management process. The results obtained open possibilities to a proactive scenario.

Process mining approach to formal business process modelling and verification: a case study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sohei Ito ◽  
Dominik Vymětal ◽  
Roman Šperka
Keyword(s):  
Formal Verification ◽  
Business Process ◽  
Business Processes ◽  
Formal Model ◽  
Process Mining ◽  
Content Type ◽  
Process Verification ◽  
Domain Independent ◽  
Formal Business

Purpose The need for assuring correctness of business processes in enterprises is widely recognised in terms of business process re-engineering and improvement. Formal methods are a promising approach to this issue. The challenge in business process verification is to create a formal model that is well-aligned to the reality. Process mining is a well-known technique to discover a model of a process based on facts. However, no studies exist that apply it to formal verification. This study aims to propose a methodology for formal business process verification by means of process mining, and attempts to clarify the challenges and necessary technologies in this approach using a case study. Design/methodology/approach A trading company simulation model is used as a case study. A workflow model is discovered from an event log produced by a simulation tool and manually complemented to a formal model. Correctness requirements of both domain-dependent and domain-independent types of the model are checked by means of model-checking. Findings For business process verification with both domain-dependent and domain-independent correctness requirements, more advanced process mining techniques that discover data-related aspects of processes are desirable. The choice of a formal modelling language is also crucial. It depends on the correctness requirements and the characteristics of the business process. Originality/value Formal verification of business processes starting with creating its formal model is quite new. Furthermore, domain-dependent and domain-independent correctness properties are considered in the same framework, which is also new. This study revealed necessary technologies for this approach with process mining.

Business Autopoiesis Through Process Referencing

2021 ◽  
pp. 233-253
Author(s):  
Małgorzata B. Pańkowska
Keyword(s):  
Business Process ◽  
Communication Systems ◽  
Process Management ◽  
Business Processes ◽  
Process Development ◽  
Process Mining ◽  
The Social ◽  
Business Process Mining ◽  
Development And Management

In this chapter, the concept of autopoietic system is assumed to stem from the theory of social communication systems, which reproduce all their specific structures and self-referential processes. This chapter aims at the analysis of business process development and management. The main goal is to present an original framework of business process management. Through this framework, business processes can be interpreted as autonomic artifacts which are created, discovered, explored, and disseminated within social communities of practice. This constant reproduction of processes and their dissemination allows the social organization to exist, cope with internal complexity, and achieve its operational goals. The chapter consists of three main parts. The first part covers the systematic literature review on business process mining and referencing. The second part includes the discussion on presented business process framework. The last part comprises a case study to present and discuss the application of the framework for the development of academic virtual education processes.

scholarly journals How Robot/human Orchestration Can Help in an HR Department: A Case Study From a Pilot Implementation

Organizacija ◽  
2019 ◽  
Vol 52 (3) ◽  
pp. 204-217 ◽  
Author(s):  
Dalibor Šimek ◽  
Roman Šperka
Keyword(s):  
Business Process ◽  
Business Processes ◽  
Current Trend ◽  
Case Study Research ◽  
Multinational Company ◽  
Research Approach ◽  
Structured Interviews ◽  
Service Orchestration ◽  
Study Research

Abstract Background and Purpose: Motivation of this research is to explore the current trend in automating the business processes through software robots (Robotic Process Automation – RPA) and its managing within enterprise environment where most of the processes are executed by human workforce. As the RPA technology expands the demand for its coordinating grows as well. The possible solution to this challenge is shown in case study research in form of implementing orchestration platform to a concrete business process of onboarding in HR department of a multinational company. The aim of this paper is to explore the phases and activities of the pilot project implementation of Robotic Service Orchestration (RSO) in combination with RPA technology and to assess the potential benefits. Design/Methodology/Approach: Case study research approach was selected to explore the research phenomena, which is the implementation of RSO platform in combination with RPA technology and assessing incoming benefits. The case is formed with 2 companies – (1) multinational company with ongoing effort of automating onboarding process, (2) technology and consulting company delivering the automation solution. Data were collected through semi-structured interviews with respondents from two involved companies and by analysing internal documents. Results: The analysis of case provided in this paper revealed some key insights: (1) strategical position of RSO and tactical position of RPA towards the existing legacy systems, (2) need for increased focus on initial process modelling phase, (3) Application Programming Interface (API) integration is more viable solution for RPA, (4) the biggest benefit of RPA - its agility, (5) future potential of the RSO replacing the BPMS. Conclusions: First of all, there is a need of higher number of software robots adopted in a company before orchestration could pay off. On the other side, current Business Process Management Systems (BPMS) solutions don’t offer functionalities for managing human and software robots workforce altogether. RPA is expected to expand and without proper orchestration the effectivity will not grow constantly.

scholarly journals Discovering Business Processes from Email Logs using fastText and Process Mining

2020 ◽  
Author(s):  
Yaghoub rashnavadi ◽  
Sina Behzadifard ◽  
Reza Farzadnia ◽  
sina zamani
Keyword(s):  
Machine Learning ◽  
Business Processes ◽  
Oil And Gas ◽  
Process Mining ◽  
The Body ◽  
Process Models ◽  
Supervised Machine Learning ◽  
Implicit Information ◽  
Oil And Gas Sector

<p>Communication has never been more accessible than today. With the help of Instant messengers and Email Services, millions of people can transfer information with ease, and this trend has affected organizations as well. There are billions of organizational emails sent or received daily, and their main goal is to facilitate the daily operation of organizations. Behind this vast corpus of human-generated content, there is much implicit information that can be mined and used to improve or optimize the organizations’ operations. Business processes are one of those implicit knowledge areas that can be discovered from Email logs of an Organization, as most of the communications are followed inside Emails. The purpose of this research is to propose an approach to discover the process models in the Email log. In this approach, we combine two tools, supervised machine learning and process mining. With the help of supervised machine learning, fastText classifier, we classify the body text of emails to the activity-related. Then the generated log will be mined with process mining techniques to find process models. We illustrate the approach with a case study company from the oil and gas sector.</p>

A Method for Eliciting Goals for Business Process Models based on Non-Functional Requirements Catalogues

2013 ◽  
pp. 226-244 ◽  
Author(s):  
Evellin Cardoso ◽  
João Paulo A. Almeida ◽  
Renata S. S. Guizzardi ◽  
Giancarlo Guizzardi
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Business Processes ◽  
Business Process Modeling ◽  
Process Models ◽  
Functional Requirements ◽  
Business Process Models ◽  
Traditional Approaches ◽  
Goal Models

While traditional approaches in business process modeling tend to focus on “how” the business processes are performed (adopting a behavioral description in which business processes are described in terms of procedural aspects), in goal-oriented business process modeling, the proposals strive to extend traditional business process methodologies by providing a dimension of intentionality to business processes. One of the key difficulties in enabling one to model goal-oriented processes concerns the identification or elicitation of goals. This paper reports on a case study conducted in a Brazilian hospital, which obtained several goal models represented in i*/Tropos, each of which correspond to a business process also modeled in the scope of the study. NFR catalogues were helpful in goal elicitation, uncovering goals that did not come up during previous interviews prior to these catalogues’ use.

Business Process Design Meets Business Practices through Enterprise Patterns

2016 ◽  
pp. 1249-1266
Author(s):  
Carmelo Ardito ◽  
Ugo Barchetti ◽  
Antonio Capodieci ◽  
Annalisa Guido ◽  
Luca Mainetti
Keyword(s):  
Human Resources ◽  
Business Process ◽  
Business Processes ◽  
Knowledge Workers ◽  
Virtual Enterprise ◽  
Business Practices ◽  
Enterprise 2.0 ◽  
Business Process Design ◽  
Organizational Issues

Every day companies deal with internal problems in order to manage human resources during the execution of business processes. The ability to quickly identify and rapidly apply effective business practices to recurring problems becomes crucial in order to improve the efficiency of the organization. To seize the opportunity of adapting their business practices to emerging organizational forms (Extended Enterprise, Virtual Enterprise) and to reuse the expertise of knowledge workers – who are central to an organization's success – companies are required to face several challenges. This paper presents a set of business patterns useful in resolving emerging organizational issues to support the activities of knowledge workers, increase their productivity and their ability to find the information they need, and enable collaboration with colleagues without changing their habits. Also it describes a real case study and a software system that allows companies to introduce these business patterns in the workplace, adopting an Enterprise 2.0 approach.

scholarly journals CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining

Algorithms ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 161
Author(s):  
Ghada Elkhawaga ◽  
Mervat Abuelkheir ◽  
Sherif I. Barakat ◽  
Alaa M. Riad ◽  
Manfred Reichert
Keyword(s):  
Systematic Review ◽  
Business Process ◽  
Continuous Monitoring ◽  
Business Processes ◽  
Process Mining ◽  
Concept Drift ◽  
Business Environments ◽  
Drift Analysis ◽  
Comprehensive Framework ◽  
Over Time

Business processes evolve over time to adapt to changing business environments. This requires continuous monitoring of business processes to gain insights into whether they conform to the intended design or deviate from it. The situation when a business process changes while being analysed is denoted as Concept Drift. Its analysis is concerned with studying how a business process changes, in terms of detecting and localising changes and studying the effects of the latter. Concept drift analysis is crucial to enable early detection and management of changes, that is, whether to promote a change to become part of an improved process, or to reject the change and make decisions to mitigate its effects. Despite its importance, there exists no comprehensive framework for analysing concept drift types, affected process perspectives, and granularity levels of a business process. This article proposes the CONcept Drift Analysis in Process Mining (CONDA-PM) framework describing phases and requirements of a concept drift analysis approach. CONDA-PM was derived from a Systematic Literature Review (SLR) of current approaches analysing concept drift. We apply the CONDA-PM framework on current approaches to concept drift analysis and evaluate their maturity. Applying CONDA-PM framework highlights areas where research is needed to complement existing efforts.

scholarly journals The quest for organizational flexibility

2016 ◽  
Vol 22 (4) ◽  
pp. 763-790 ◽  
Author(s):  
Monica Anastassiu ◽  
Flavia Maria Santoro ◽  
Jan Recker ◽  
Michael Rosemann
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Design Methodology ◽  
Business Processes ◽  
Contextual Information ◽  
Decision Makers ◽  
Informational Support ◽  
Content Type ◽  
The Social

Purpose – The purpose of this paper is to propose a method for identifying business process-relevant contextual information that is likely to impact on the process goal. The ORGANON method describes a semi-structured procedural guide alongside with a set of criteria and a matrix for analyzing ontological transactions, which can be used to identify which context information can be considered relevant to a business process. Design/methodology/approach – The authors report on an evaluation of the ORGANON method through a case study conducted in an organization that works in the social security domain. Findings – The results provide evidences of the feasibility of the method application in this scenario. Originality/value – Our research contributes to the literature on business processes flexibility, specifically through a proposal for context identification that can be extended to current techniques for business process modeling and in turn forms the basis for existing approaches for making business processes more flexible. The work has implications for the strategic management of organizations, by suggesting a method that provides informational support to decision makers about when, where and why business processes need to be adapted.

Internet of Things and business processes redesign in seaports. The case of Hamburg

2016 ◽  
Vol 22 (2) ◽  
Author(s):  
Marco Ferretti ◽  
Francesco Schiavone
Keyword(s):  
Internet Of Things ◽  
Business Process ◽  
Design Methodology ◽  
Business Processes ◽  
Research Question ◽  
Illustrative Case ◽  
Port Management ◽  
Type Design ◽  
Illustrative Case Study

Purpose The goal of the present article is to contribute to the extant literature about the exploitation of IoT in seaports by illustrating in detail how such IT infrastructures can impact on the redesign of their business processes. Thus, the research question of the study is: how do IoT technologies redesign the business processes of seaports? Design/methodology/approach The article reports the illustrative case study of the German Port of Hamburg, one of the main European seaports, which widely adopted technologies based on IoT over the last few years. Findings The results show the adoption of IoT technologies widely redesigns and improves the performance of all the main business process of the port analysed, in particular those processes related to technology and information of the organisation. The IoT-driven BPR must be planned strategically by the port management and implies the involvement of all the port stakeholders and, if necessary, the hiring external professional partners. Originality/value Despite some authors report generically which are the ports operational domains more affected by IoT, there is a lack of studies about the specific implications of the adoption of such technologies on the BPR of seaports. The article fills in this gap.

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