scholarly journals Fire now, fire later: alarm-based systems for prescriptive process monitoring

2021 ◽  
Author(s):  
Stephan A. Fahrenkrog-Petersen ◽  
Niek Tax ◽  
Irene Teinemaa ◽  
Marlon Dumas ◽  
Massimiliano de Leoni ◽  
...  
Keyword(s):  
Process Monitoring ◽  
Cost Model ◽  
Real Life ◽  
Cost Benefit ◽  
Model Parameters ◽  
Life Event ◽  
Event Logs ◽  
Future State ◽  
Process Instance ◽  
The Cost

AbstractPredictive process monitoring is a family of techniques to analyze events produced during the execution of a business process in order to predict the future state or the final outcome of running process instances. Existing techniques in this field are able to predict, at each step of a process instance, the likelihood that it will lead to an undesired outcome. These techniques, however, focus on generating predictions and do not prescribe when and how process workers should intervene to decrease the cost of undesired outcomes. This paper proposes a framework for prescriptive process monitoring, which extends predictive monitoring with the ability to generate alarms that trigger interventions to prevent an undesired outcome or mitigate its effect. The framework incorporates a parameterized cost model to assess the cost–benefit trade-off of generating alarms. We show how to optimize the generation of alarms given an event log of past process executions and a set of cost model parameters. The proposed approaches are empirically evaluated using a range of real-life event logs. The experimental results show that the net cost of undesired outcomes can be minimized by changing the threshold for generating alarms, as the process instance progresses. Moreover, introducing delays for triggering alarms, instead of triggering them as soon as the probability of an undesired outcome exceeds a threshold, leads to lower net costs.

scholarly journals Specification-driven predictive business process monitoring

2019 ◽  
Vol 19 (6) ◽  
pp. 1307-1343
Author(s):  
Ario Santoso ◽  
Michael Felderer
Keyword(s):  
Process Monitoring ◽  
Business Process ◽  
Real Life ◽  
Life Event ◽  
Prediction Task ◽  
Event Logs ◽  
Specific Prediction ◽  
Business Process Monitoring ◽  
The Given ◽  
Future Information

Abstract Predictive analysis in business process monitoring aims at forecasting the future information of a running business process. The prediction is typically made based on the model extracted from historical process execution logs (event logs). In practice, different business domains might require different kinds of predictions. Hence, it is important to have a means for properly specifying the desired prediction tasks, and a mechanism to deal with these various prediction tasks. Although there have been many studies in this area, they mostly focus on a specific prediction task. This work introduces a language for specifying the desired prediction tasks, and this language allows us to express various kinds of prediction tasks. This work also presents a mechanism for automatically creating the corresponding prediction model based on the given specification. Differently from previous studies, instead of focusing on a particular prediction task, we present an approach to deal with various prediction tasks based on the given specification of the desired prediction tasks. We also provide an implementation of the approach which is used to conduct experiments using real-life event logs.

A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs

2012 ◽  
Vol 37 (7) ◽  
pp. 654-676 ◽  
Author(s):  
Jochen De Weerdt ◽  
Manu De Backer ◽  
Jan Vanthienen ◽  
Bart Baesens
Keyword(s):  
Quality Assessment ◽  
State Of The Art ◽  
Real Life ◽  
Life Event ◽  
Process Discovery ◽  
Event Logs ◽  
Discovery Algorithms

Improvement of public distribution system efficiency applying blockchain technology during pandemic outbreak (COVID-19)

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anup Kumar
Keyword(s):  
Supply Chain ◽  
Distribution System ◽  
Negative Impact ◽  
Real Life ◽  
Cost Benefit ◽  
Content Type ◽  
Public Distribution System ◽  
Blockchain Technology ◽  
Supply Chain Efficiency ◽  
The Cost

PurposeThe purpose of this paper is to analytically examine the viability of using blockchain technology (BT) in a public distribution system (PDS) supply chain to overcome issues of shrinkage, misplacement and ghost demand.Design/methodology/approachThe authors use a standard news vendor model with two objectives, the first of which includes a reduction of the total cost of stock, while the second includes minimization of the negative impact of human suffering due to the nonavailability of subsidized food supplies to the needy people.FindingsThe authors applied the model to a real-life case to draw meaningful insights. The authors also analyzed the cost/benefit tradeoff of adopting BT in a PDS supply chain. The results show that the adoption of BT in a charitable supply chain can reduce pilferage and ghost demand significantly.Originality/valueThe paper is positioned for utilizing inventory visibility via consistent and tamper-resistant data stream flow capability of BT to enhance the overall efficiency of PDS. Notably, Indian PDS faces three major challenges in terms of its supply chain efficiency.

Determining the Cost Benefit of High-Temperature Coatings for Concentrating Solar Power Thermal Storage Using Probabilistic Cost Analysis

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Greg C. Glatzmaier ◽  
Judith C. Gomez
Keyword(s):  
Stainless Steel ◽  
Cost Analysis ◽  
Solar Power ◽  
Cost Model ◽  
Cost Benefit ◽  
Thermal Storage ◽  
Inconel 625 ◽  
Concentrating Solar Power ◽  
310 Stainless Steel ◽  
The Cost

Probabilistic cost analysis determined the cost benefit for applying a protective coating to the wetted surfaces of stainless steel tank walls for concentrating solar power (CSP) thermal storage applications. The model estimated the total material cost of coated 347 or 310 stainless steel (347/310) and the cost of uncoated Inconel 625, which served as the reference tank wall cost. Model results showed that the cost of the coated 347/310 stainless steel was always statistically less than the cost of the bare Inconel 625 when these materials are used for tank walls at representative tank diameters and temperatures for CSP storage applications.

scholarly journals Social Responsibility Accounting:A Conceptual Framework for Universal Acceptance

2019 ◽  
Vol 8 (4) ◽  
pp. 2342-2348
Keyword(s):  
Social Responsibility ◽  
Cost Benefit Analysis ◽  
Cost Model ◽  
Cost Benefit ◽  
Social Benefit ◽  
Business Environment ◽  
Analysis Technique ◽  
The Cost ◽  
Benefit Cost ◽  
Responsibility Accounting

The growing instance of corporate frauds has necessitated the stronger regulations in the field of corporate with the help of increasing technological invocations. The Social Responsibility Accounting is a phrase that is gaining significance in such a corporate environment to bring light on the societal obligations. In spite of the growing stress laid on the need for Social Responsibility Accounting, the regulatory framework even in the most advanced economies has failed to establish a universally accepted standard for such reporting, as is available for traditional financial information reporting. The present study aims to identify the most widely accepted models and critically review them, to enhance its applicability in the modern-day business environment. For that purpose the various models of social responsibility accounting such as Seidler’s Model of Social Accounting, Ralph’s Comprehensive Social Benefit Cost Model, and The Cost-Benefit Analysis Technique (ABT Associate model are analyzed and a Conceptual Frame Work for Social responsibility accounting is suggested based on the analysis of these models. Such a model combines all the superior aspects of all models for the purpose of culminating all primary stakeholders’ perspective.

scholarly journals An Experimental Analytics on Discovering Work Transference Networks from Workflow Enactment Event Logs

2019 ◽  
Vol 9 (11) ◽  
pp. 2368 ◽  
Author(s):  
Hyun Ahn ◽  
Dinh-Lam Pham ◽  
Kwanghoon Pio Kim
Keyword(s):  
Social Network ◽  
Human Resource ◽  
Real Life ◽  
Resource Planning ◽  
Life Event ◽  
Human Resource Planning ◽  
Network Discovery ◽  
Event Logs ◽  
Organizational Aspect ◽  
Enterprise Social Network

Work transference network is a type of enterprise social network centered on the interactions among performers participating in the workflow processes. It is thought that the work transference networks hidden in workflow enactment histories are able to denote not only the structure of the enterprise social network among performers but also imply the degrees of relevancy and intensity between them. The purpose of this paper is to devise a framework that can discover and analyze work transference networks from workflow enactment event logs. The framework includes a series of conceptual definitions to formally describe the overall procedure of the network discovery. To support this conceptual framework, we implement a system that provides functionalities for the discovery, analysis and visualization steps. As a sanity check for the framework, we carry out a mining experiment on a dataset of real-life event logs by using the implemented system. The experiment results show that the framework is valid in discovering transference networks correctly and providing primitive knowledge pertaining to the discovered networks. Finally, we expect that the analytics of the work transference network facilitates assessing the workflow fidelity in human resource planning and its observed performance, and eventually enhances the workflow process from the organizational aspect.

scholarly journals The Cost Benefit Analysis for the Concept of a Smart City: How to Measure the Efficiency of Smart Solutions?

2020 ◽  
Vol 12 (7) ◽  
pp. 2663 ◽  
Author(s):  
Kamila Turečková ◽  
Jan Nevima
Keyword(s):  
Smart City ◽  
Cost Benefit Analysis ◽  
Real Life ◽  
Cost Benefit ◽  
Benefit Analysis ◽  
Methodical Approach ◽  
Solution Efficiency ◽  
The Cost ◽  
Benefits And Costs ◽  
Economic Domain

This paper is dedicated, both theoretically and conceptually, to a methodical approach towards the efficiency evaluation of proposed smart city solutions. The implementation of smart solutions in proposed projects and activities is supported by a complex assessment of benefits and costs as part of a cost benefit analysis (CBA) with the goal of maximizing the efficiency of such a solution, especially in the case of public activities for which it is typical to lack a market evaluation. A smart solution can be defined as an innovative and functional approach towards solving situations in a responsible way and with positive consequences for society. These smart solutions represent the core of the smart city concept, which together with the smart region concept presents a new economic domain where new markets or market segments offering innovative and intelligent (tangible and intangible) solutions for said cities and regions can be developed. CBA and feasibility analyses represent suitable tools for evaluation of socially and economically acceptable projects and their implementation in real life. The efficiency of these solutions is then proved by benefit and cost comparisons under the condition that these outcomes are acceptable for all stakeholders. Methodically, the paper is structured inductively. The detailed literature review provides the basis for a formulation of general principles of using a CBA for innovative smart city solution efficiency evaluations based on chosen cases, for example, from the Moravia Silesian region. Due to the originality of each submitted project, it is possible to use this proposed methodical approach of CBA applications as a primary analytical frame and it is necessary to add the specific attributes of each solution that is being evaluated.

scholarly journals Discovering high-level BPMN process models from event data

2019 ◽  
Vol 25 (5) ◽  
pp. 995-1019 ◽  
Author(s):  
Anna Kalenkova ◽  
Andrea Burattin ◽  
Massimiliano de Leoni ◽  
Wil van der Aalst ◽  
Alessandro Sperduti
Keyword(s):  
Process Model ◽  
Process Mining ◽  
Real Life ◽  
Process Models ◽  
Holistic View ◽  
Life Event ◽  
Content Type ◽  
Event Logs ◽  
Wide Range ◽  
High Level

Purpose The purpose of this paper is to demonstrate that process mining techniques can help to discover process models from event logs, using conventional high-level process modeling languages, such as Business Process Model and Notation (BPMN), leveraging their representational bias. Design/methodology/approach The integrated discovery approach presented in this work is aimed to mine: control, data and resource perspectives within one process diagram, and, if possible, construct a hierarchy of subprocesses improving the model readability. The proposed approach is defined as a sequence of steps, performed to discover a model, containing various perspectives and presenting a holistic view of a process. This approach was implemented within an open-source process mining framework called ProM and proved its applicability for the analysis of real-life event logs. Findings This paper shows that the proposed integrated approach can be applied to real-life event logs of information systems from different domains. The multi-perspective process diagrams obtained within the approach are of good quality and better than models discovered using a technique that does not consider hierarchy. Moreover, due to the decomposition methods applied, the proposed approach can deal with large event logs, which cannot be handled by methods that do not use decomposition. Originality/value The paper consolidates various process mining techniques, which were never integrated before and presents a novel approach for the discovery of multi-perspective hierarchical BPMN models. This approach bridges the gap between well-known process mining techniques and a wide range of BPMN-complaint tools.

scholarly journals Designing efficient sampling schemes for reconnaissance surveys of contaminated bed sediments in water courses

2000 ◽  
Vol 79 (4) ◽  
pp. 441-447 ◽  
Author(s):  
D.J. Brus ◽  
M.J.W. Jansen ◽  
W.F. de Haan
Keyword(s):  
Cost Model ◽  
Geographical Information ◽  
Model Parameters ◽  
Variance Model ◽  
Bed Sediments ◽  
Sampling Schemes ◽  
Efficient Sampling ◽  
Water Courses ◽  
The Cost ◽  
Reconnaissance Surveys

AbstractA method for designing efficient sampling schemes for reconnaissance surveys of contaminated bed sediments in water courses is presented. The method can be used in networks of water courses, for instance to estimate the total volume of bed sediment of a defined quality class. The water courses must be digitised as arcs in a Geographical Information System.The method comprises six steps: (1) stratifying the water courses; (2) choosing a variogram; (3) calculating the parameters of the variance model; (4) choosing a compositing scheme; (5) choosing the values for the cost-model parameters; and (6) optimising the sampling scheme. The method is demonstrated with a survey of the main water courses in the reclaimed areas of Oostelijk Flevoland and Zuidelijk Flevoland.

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