Business Process Management Systems Research Articles

Modern trends in building low-code platforms

The paper deals with the problems of developing BPM systems using Low-Code platforms. To find solutions to the identified problems, a study of trends in the processes of building Low-Code platforms was carried out. A two-level method for building a Low-Code platform is proposed, in which there is a subject and proto-subject level. It is assumed that at the subject level, the implementation of the functionality of the Low-Code platform is performed based on the method for solving a specific business problem, defined by users at the proto-subject level. The main feature of the proposed method is that the method for solving a specific business problem is converted into a methodology for constructing a subject-level functionality. An example of the implementation of the proposed method for building a platform is considered.

Business Process Model for IOT Based Systems Operations

The internet of things (IoT) is an innovative and advanced high-level IT development that provides the connection between a large network of devices equipped with numerous computing capabilities, actuation, and sensing with the help of internet connection, consequently providing multifarious novel services regarding smart systems. All around the globe the attractive big data analytics and IoT services are allowing initiatives regarding smart systems. Business processes are commonly executed inside the application systems where computers, objects of IoT as well as humans participate. However, for the system-supported processes, the use of IoT technology is still facing the problem of the absence of a standard system architecture that is essential to manage the coordination in a smart IoT environment. Business process management (BPM) is regarded as a substantial technique for designing, controlling, and improving the processes of a system. This article introduces a BPM modeling approach for IoT-based systems operation exploits IoT using BPM by adopting an IoT framework architecture and considering IoT data for interaction in a defined process model. The methodology has been carried out on top of current BPM modeling notions and system techniques for formal representations of the system and also to get through the challenges of collaboration and connection.

The Impact of COVID-19 on Digital Enterprise Management

This study reported in this article aimed to examine changes in enterprise management under the COVID-19 pandemic and develop a universal mechanism for managing digital transformation. Its methodological basis was represented by a terminological analysis of the concepts of automation, digitalization, and digital transformation. Their close consideration enabled forming of a conceptual scheme of business digitalization. In sum, the study process unveiled that full-fledged and fruitful digital transformation can be achieved through restructuring a company's business process management system. By comparing the outcomes of using digital platform-based business models, the most promising one was selected to be used in the COVID-19-affected environment. Its practical application was studied in Azerbaijan, Russia, and Switzerland using the Network Readiness Index. The analysis made it possible to form business development strategies for each country reviewed and develop a universal mechanism of digital transformation management on enterprises by means of optimization and modeling. The obtained findings suggest that in pandemic settings, digital enterprise management is concentrated on survival, self-learning, and cooperation without intermediaries through innovation and transformation of business processes. The created strategies can be used to adopt digital technologies and attract investment. Further research can be directed at detailing the proposed mechanism.

Optimizing Player Management Processes in Sports: Translating Lessons from Healthcare Process Improvements to Sports

Abstract Typical player management processes focus on managing an athlete’s physical, physiological, psychological, technical and tactical preparation and performance. Current literature illustrates limited attempts to optimize such processes in sports. Therefore, this study aimed to analyze the application of Business Process Management (BPM) in healthcare (a service industry resembling sports) and formulate a model to optimize data driven player management processes in professional sports. A systematic review, adhering to PRISMA framework was conducted on articles extracted from seven databases, focused on using BPM to digitally optimize patient related healthcare processes. Literature reviews by authors was the main mode of healthcare process identification for BPM interventions. Interviews with process owners followed by process modelling were common modes of process discovery. Stakeholder and value-based analysis highlighted potential optimization areas. In most articles, details on process redesign strategies were not explicitly provided. New digital system developments and implementation of Business Process Management Systems were common. Optimized processes were evaluated using usability assessments and pre-post statistical analysis of key process performance indicators. However, the scientific rigor of most experiments designed for such latter evaluations were suboptimal. From the findings, a stepwise approach to optimize data driven player management processes in professional sports has been proposed.

Blockchain and Business Process Management in Health Care, Especially for COVID-19 Cases

From this global health disaster, the health profession is searching for a new technology to monitor and mitigate COVID-19 infections. Accurate and reliable data are needed to surveil and prevent the diffusion of the coronavirus. However, there is a lack of consistent data on existing technologies. Various entities—for example, medical labs and public hospitals—could provide data on patients with coronavirus infection. Yet, this information might not be precise since it is not supervised and recorded correctly. This paper proposes a Blockchain and Business Process Management (BBPM) system in healthcare to solve these problems. This system could be crucial in tracing coronavirus diffusion and discovering more dangerous patients and is extremely proficient at controlling the disease. BBPM can be utilized like a digital database that includes information concurrently utilized and distributed inside a wide, decentralized, and openly accessible network. Usage of blockchains in the medical sector is anticipated to revolutionize the industry in many regions, primarily because centralization in current health technologies inhibits information sharing and causes a lack of confidentiality. Furthermore, BBPM could help supervise the diffusion of coronavirus infection worldwide by utilizing blockchain networks on the mobile devices of individuals. Protecting patient information is one of the critical strengths of BBPM. Participating BBPM nodes can be governments, hospitals, testing labs, or patients. In addition, the digital ledger has a few documents, including patient reports, consequences, the condition of treatment, and a summary of discharge. The BBPM system is categorized into four processes. In the first process, the patient is analyzed and diagnosed by a testing lab to detect any early signs of COVID-19 infection. A sample of the patients was taken. If it is positive, the second process begins. In the second process, the patient is isolated and begins treatment for a minimum of 14 days. If the patient’s health condition is improving, the third process begins. In the third process, the patients were retested for COVID-19. If the patient sample is negative, the patient is discharged, and an outline is created. During discharge, the patient pays the hospital for treatment. However, if the patient sample is positive, the isolation period is continued for another 14 days. In the last process, the details of total COVID-19 are confirmed, recovered, and death cases are conveyed to the government by the testing labs and hospitals. Patient records are stored for upcoming usage; their confidentiality is maintained when distributed on a larger scale. BBPM can guarantee the security and accuracy of patients’ recorded data.

Метод формирования регулярной обратной информационно-технологической связи в автоматизированных системах управления бизнес-процессами предприятия

Given the multifaceted nature of the concept of business process, we will limit ourselves to defining business process as a set of interrelated activities or works aimed at creating a certain product or service for customers. From the perspective of the BPM concept, business processes are valuable resources of an enterprise and their management is part of the system of organizational activities, i.e. the organizational system of automated enterprise business process management. Research Objective. Automation, then, is also a business process whose objectives are: the development (acquisition), implementation and operation of software and hardware designed to implement new business process capabilities (which simply were not in the manual loop), optimize and increase the speed of the existing business process, improve working conditions, reduce labor requirements, etc. There is a new direction – computer integration of information. Materials and methods. It is suggested that monitoring deviations from business process requirements be used to organise regular information-technology feedback in the of automated business process management systems of an enterprise. Results. Automation of a business process endows a business process with a new feature – the abi-lity to obtain operational data on all prescribed activities and to integrate all interacting objects of the business process in the implementation of the prescribed set of target functions. In some cases, business process automation is performed to streamline IT-related activities inside the organization. This includes the management of internal resources of the organization – financial, material, human resources, etc. Conclusion. Due to the presence of a sufficiently large number of “legacy systems”, the constantly increasing dynamics of changes in the external environment and the business proces-ses themselves, the task of ensuring the correctness of systems functioning in the absence of the current information model and the current documentation of the automated system seems relevant.

ViePEP-C: A Container-Based Elastic Process Platform

Business Process Management Systems (BPMS) need to be able to take into account the fluctuating demand for computational resources during the execution of business process activities. Today, BPMS rely on the leasing and releasing of virtual machines (VMs) on cloud resources, which leads to a rather coarse-grained allocation of computational resources. This may result in an increase in the execution cost, flexibility restrictions, and a negative impact on the Quality of Service. In order to overcome these drawbacks, we introduce the Vienna Platform for Elastic Processes on Containers (ViePEP-C). ViePEP-C is an elastic BPMS that uses containers instead of VMs for the execution of business process activities on cloud resources, leading to a more fine-grained execution environment. To achieve this, ViePEP-C offers cloud controller, monitoring and business process execution functionalities and provides a platform for different resource and task scheduling algorithms. To evaluate the benefits of ViePEP-C, we further present a resource and task scheduling algorithm and show that, by using containers as execution environment, the execution cost can be decreased by over 20 percent (compared to a state-of-the-art VM-based scheduling algorithm) while considering a high service level.

Comparison of Two Long Term Drift Stabilization Schemes for BPM Systems

Comparison of Two Long Term Drift Stabilization Schemes for BPM Systems

AI for augmenting human judgement in Business Processes Management

The paper outlines the recent trends in the evolution of Business Process Management (BPM) – especially the application of AI for decision support. AI has great potential to augment human judgement. Indeed, Machine Learning might be considered as a supplementary and complimentary solution to enhance and support human productivity throughout all aspects of personal and professional life. The idea of merging technologies for organizational learning and workflow management was first put forward by Wargitsch. Herein, completed business cases stored in an organizational memory are used to configure new workflows, while the selection of an appropriate historical case is supported by a case-based reasoning component. This informational environment has been recognized in the world as being effective and has become quite common because of the significant increase in the use of artificial intelligence tools. This article discusses also how automated planning techniques (one of the oldest areas in AI) can be used to enable a new level of automation and processing support. The authors of the article decided to analyse this topic and discuss the scientific state of the art and the application of AI in BPM systems for decision-making support. It should be noted that readily available software exists for the needs of the development of such systems in the field of artificial intelligence. The paper also includes a unique case study with production system of Decision Support, using controlled machine learning algorithms to predictive analytical models.

Design and Realisation of Scalable Business Process Management Systems for Deployment in the Cloud

Business Process Management Systems ( BPMSs ) provide automated support for the execution of business processes in modern organisations. With the emergence of cloud computing, BPMS deployment considerations are shifting from traditional on-premise models to the Software-as-a-Service ( SaaS ) paradigm, aiming at delivering Business Process Automation as a Service. However, scaling up a traditional BPMS to cope with simultaneous demand from multiple organisations in the cloud is challenging, since its underlying system architecture has been designed to serve a single organisation with a single process engine. Moreover, the complexity in addressing both the dynamic execution environment and the elasticity requirements of users impose further challenges to deploying a traditional BPMS in the cloud. A typical SaaS often deploys multiple instances of its core applications and distributes workload to these application instances via load balancing. But, for stateful and often long-running process instances, standard stateless load balancing strategies are inadequate. In this article, we propose a conceptual design of BPMS capable of addressing dynamically varying demands of end users in the cloud, and present a prototypical implementation using an open source traditional BPMS platform. Both the design and system realisation offer focused strategies on achieving scalability and demonstrates the system capabilities for supporting both upscaling, to address large volumes of user demand or workload, and downscaling, to release underutilised computing resources, in a cloud environment.

Super‐process interoperability optimization architecture in healthcare ultra‐large‐scale systems: A graph‐based multi‐objective approach

SummaryThe healthcare industry is more challenging and the super‐process interoperability should be planned in order to architecture an informational technology structure of the required data for progression of care. Large‐scale enterprises could be provided cross‐organization super‐processes operations. Therefore, each enterprise's business process management system (BPMS) may be executed cross‐organizational BPM as a kind of the process model. This study proposed a Super‐process Interoperable Optimized Architecture based on BPMS as a paradigm to satisfy the consistency of cross‐organization operations in healthcare industry. For developing the healthcare ultra‐large‐scale process management system (H‐ULS‐PMS), the paper provided interoperability optimization with intelligent recommender system in estimation component of BPMS that has been altered to H‐ULS‐PMS. This system could be recommended the appropriate concept of crossed healthcare process according to the hospitals' requirements. A graph‐based multi‐objective optimization method has been applied to control distributed resources across the hospitals. The community cloud is used as proposed architecture infrastructure for largely scaled interoperability. A practical case in hospital as a research project of a hospital in Dusseldorf‐Wersten of Germany has been studied to show the better interoperability and resource management of the proposed super‐process interoperability architecture.

DEVELOPMENT OF INFORMATION SYSTEM BY MEANS OF ASP.NET

For most state institutions and enterprises, there is a problem of automation of the business process, which is distributed among branches throughout the republic. The article discusses the problem of designing a system for managing geographically distributed branches. The process of development of the business process management and automation system for the branch network management information system and minimization of the total operating cost of the system is described. An example of designing an information system for managing payments for administrative violations of traffic rules in branches of the Kyrgyz Post State Enterprise is given.

CHOICE OF BUDGETING IMPERATIVES FOR INVESTMENT AND CONSTRUCTION PROJECT AS A DIRECTION OF IMPROVING THE FINANCIAL MANAGEMENT SYSTEM OF THE ENTERPRISE

The article is devoted to the definition of features and directions of increasing the efficiency of enterprise management with the help of budgeting technology. Research of theoretical and methodological, organizational and practical aspects of budgeting process management is implemented through the introduction of software products. On the theoretical basis of the formation of budgets of enterprises, which are considered from the standpoint of the implementation of management activities through the implementation of management functions: planning, organization, coordination, motivation and control. The stages, sources of information security and features of budgeting in modern conditions are defined. The need for budget activities of enterprises at the strategic and tactical levels. Effective budget execution is proposed to increase the competitiveness of enterprises. The article presents further improvement of software implementation based on software budgeting technologies, which are integrated into it SyteLine Budgeting technology (the process of budgeting based on the synthesis of business process management systems). This technique is an effective alternative to traditional structural resource budgeting and is relevant for companies that are on the path of business process reengineering and application of economic and mathematical models of optimal choice, which will allow the company to develop specific tactical (operational) tasks to form a budgeting system. significantly reduce the complexity of budgeting at both the operational level and strategic management. Scientific principles and practical recommendations formulated in the work allow to increase the efficiency of management of organizations of all forms of ownership and activity by creating an automated budget system at the level of divisions and operational processes of the company, which will develop budgeting and methodological approaches to its formation, in particular, with the use of the normative budget of the project.

A Low Cost Baby Incubator Design Equipped with Vital Sign Parameters

A baby incubator is a heating device for premature babies so that the baby's temperature matches the temperature in the mother's womb. Premature babies are babies born in abnormal conditions where the baby's body size is below average or the gestational age has not reached 9 months. The aim of this study was to create a compact system at a low cost in an infant incubator. Apart from stabilizing the temperature, it can also calculate the premature baby's heart rate and oxygen saturation value. The contribution of the system being built can detect the early symptoms of congenital abnormalities so that abnormalities detection becomes more practical. The temperature stability in this system uses a threshold system, where the sensor readings are compared with the set point value. Meanwhile, the SpO2 system uses a finger sensor attached to the baby's finger to detect oxygen saturation and heart rate. The signal from the sensor is processed in a signal conditioning circuit consisting of an astable circuit, filter and amplifier, LPF, and demultiplexer. Based on the results of testing and measurement, the difference produced by this tool is only 0.13 - 0.182 ° C. The biggest error in the system is 0.517%. Measurement of skin temperature was carried out on 10 respondents with an average value of 34.825 ° C. so that the difference generated from this tool is only 0.175 ° C, the difference on the Humidity parameter is 0.21%. The average BPM reading of respondent 1 was 81 beats per minute and the average SpO2 value was 97%. The average BPM reading of respondent 2 was 83 beats per minute and the average SpO2 value was 98%. You can see that the module with the Arduino control system can work automatically and is able to adjust the stability of the baby incubator according to the settings. In addition, the BPM and SpO2 systems are within tolerance so they can be used for patient measurements

BPM and Socialization Tools Integrated to Improve Acquisition and Management of Information During Design and Execution of business processes

The use of BPM (Business Process Management) has matured over the years, reaching high levels of acceptance and utilization. Despite this, there are still points that BPM does not fully resolve. One of the main limitations of the use of BPM is the lack of a complete acquisition of valuable information during the design stage, taking place in contexts where communication between the stakeholders is not appropriate and it is not possible to fully collect essential data. At the execution stage, the participation of users has not been studied in depth to record detected problems or indicate improvements in business processes. The emergence and development of Web 2.0 opened a way to solve these problems. This work proposes to base how the socialization tools can solve current problems in BPM through a theoretical analysis added to the practical development of a socialization tool integrated to a BPMS (Business Process Management System).

Testing an instrument to measure the BPMS-KM Support model

BPMS (Business Process Management System) represents a type of software that automates the organizational processes looking for efficiency. Since the knowledge of organizations lies in their processes, it seems probable that a BPMS can be used to manage the knowledge applied in these processes. Through the BPMS-KM Support Model, this study aims to determine the reliability and validity of a 65-item instrument to measure the utility and the use of a BPMS for knowledge management (KM). A questionnaire was sent to 242 BPMS users and to determine its validity, a factorial analysis was conducted. The results showed that the measuring instrument is trustworthy and valid. It represents implications for research, since it provides an instrument validated for research on the success of a BPMS for KM. There would also be practical implications, since managers can evaluate the use of BPMS, in addition to automating processes to manage knowledge.

Business Process Management: The evolution of a discipline

Business Process Management (BPM) embodies a management philosophy, which is supported by a range of methods, techniques, and tools. Academics are continuously expanding this repertoire. In this overview article, the themes are sketched that characterize the development of the BPM discipline over the years: BPM Systems, process modeling, process design, coordination and interoperability, model management, process mining, and new technologies. Each of the themes is characterized in this overview on the basis of articles that appeared in Computers in Industry since its conception, now 40 years ago. Together, these themes provide a perspective on a thriving and evolving discipline.

A Modification of Infant Warmer with Monitoring of Oxygen Saturation, Heart Rate and Skin Temperature

Full term and premature babies have decreased body temperature by 0.1 ° C-0.3 ° C per minute, infant warmer was developed to provide the effect of heat on the baby as the temperature in the mother's uterus. The purpose of this study is to modify the infant warmer tool by adding parameters SpO2, BPM, and skin sensors. The contribution of this research is that the SpO2, BPM, and skin sensor monitoring systems are very helpful in the therapeutic and healing process using infant warmers. The use of the right sensor and has good quality will produce results and a small error value so it does not exceed the maximum value that is tolerated. The MAX 30100 sensor can detect oxygen saturation in the blood (SpO2) and heart rate (BPM), the DS18B20 temperature sensor can detect temperatures on the surface of the skin or body. Based on the results of measurements on 3 different respondents with 6 times of data retrieval and compared with standard tools the largest error value obtained from SpO2 is 0.68% and the smallest error value is 0.17%, while the largest error value from BPM is 0.76 bpm and the smallest error value is 0.42 bpm, the value of skin temperature error obtained is 0.28% obtained from the measurement of 1 respondent with 6 times of data retrieval and compared with standard tools. The tool is said to be suitable for use because the maximum limit in SpO2 error tolerance is 2% and BPM is 5%. The results of this research can be implemented on infant warmers to improve the monitoring of physiological conditions in patients.

Using object oriented analysis design workflow engine for manufacturing industry in IoT

Plan and build a workflow management system to integrate allows you to design workflow processes and build request forms, no coding skills required. Easy to implement and learn in Internet of Thing (IoT). Integrify will save you time and effort by eliminating lengthy process development. There are many related standardized solutions in (IoT), but are no features to cross-over manufacture industry, virtualized organization flow control, front-end development tools and are not easy to customize. So use flexibility and easy to maintain, and cost down are the main consideration for workflow management in company. The proposed method of this research is based upon J2EE technology to design workflow management engine, using Wf-MXL message format standard of Workflow Management Coalition (WfMC) and describe information exchange format in multi-organizations workflow to complete product design. The experimentation used workflow engine in IoT, network product manufacture from product development to product design. The result of this research innovation factor of the paper, apply workflow engine to product design flow for network products in Industrial Science Park. Use the customized business process management system function to adjust business’ ability to speed up product development time and meet user requirements, and to reduce the product development cost.

BPM-systems in the Activity of the Transport Enterprise in Order to Ensure HR Security

Digital transformation of any large enterprise is impossible without the introduction of BPM systems that provide effective management of internal processes and help maintain the required level of all aspects of the economic security of the enterprise, including personnel. The transport industry is no exception, moreover, the competent construction and control of the company’s internal processes using digital technologies will allow the industry to reach a new level and be competitive on the world stage. For effective implementation of the system, first of all, it is necessary to configure it to the needs of a particular organization, coordinating it with the mission and goals. The article considers the positive effect of the inclusion of BPM systems in the company’s activities, the basic principles of work and the consequences of using this digitalization element for the HR security of a transport company. Using methods of system analysis, generalization and a modeling method, general models of the main components of BPM systems that are possible for use in the transport industry are proposed.