Multi-Perspective Data Fusion Framework Based on Hierarchical BERT: Provide Visual Predictions of Business Processes

Predictive Business Process Monitoring(PBPM)is a significant research area in Business Process Management(BPM)aimed at accurately forecasting future behavioral events.At present,deep learning methods are widely cited in PBPM research,but no method has been effective in fusing data information into the control flow for multi-perspective process prediction.Therefore,this paper proposes a process prediction method based on the hierarchical BERT and multi-perspective data fusion.Firstly,the first layer BERT network learns the correlations between different category attribute data.Then,the attribute data is integrated into a weighted event-level feature vector and input into the second layer BERT network to learn the impact and priority relationship of each event on future predicted events.Next,the multi-head attention mechanism within the framework is visualized for analysis,helping to understand the decision-making logic of the framework and providing visual predictions.Finally,experimental results show that the predictive accuracy of the framework surpasses the current state-of-the-art research methods and significantly enhances the predictive performance of BPM.

Dynamic business process modeling and verification for inter-organizational collaboration

To achieve an on-demand and dynamic composition model of inter-organizational business processes, a new approach for business process modeling and verification is introduced by using the pi-calculus theory. A new business process model which is multi-role, multi-dimensional, integrated and dynamic is proposed relying on inter-organizational collaboration. Compatible with the traditional linear sequence model, the new model is an M x N multi-dimensional mesh, and provides horizontal and vertical formal descriptions for the collaboration business process model. Finally, the pi-calculus theory is utilized to verify the deadlocks, livelocks and synchronization of the example models. The result shows that the proposed approach is efficient and applicable in inter-organizational business process modeling.

PERFORMANCE EVALUATION METHOD FOR BUSINESS PROCESS OF MACHINERY MANUFACTURER BASED ON DEA/AHP HYBRID MODEL

A set of indices for performance evaluation for business processes with multiple inputs and multiple outputs is proposed, which are found in machinery manufacturers. Based on the traditional methods of data envelopment analysis （DEA） and analytical hierarchical process （AHP）, a hybrid model called DEA/AHP model is proposed to deal with the evaluation of business process performance. With the proposed method, the DEA is firstly used to develop a pairwise comparison matrix, and then the AHP is applied to evaluate the performance of business process using the pairwise comparison matrix. The significant advantage of this hybrid model is the use of objective data instead of subjective human judgment for performance evaluation. In the case study, a project of business process reengineering （BPR） with a hydraulic machinery manufacturer is used to demonstrate the effectiveness of the DEA/AHP model.

On Computing the Suitability of Non-Human Resources for Business Process Analysis

Business process improvement is a systematic approach used by several organizations to continuously improve their quality of service.Integral to that is analyzing the current performance of each task of the process and assigning the most appropriate resources to each task.In continuation of our previous work,we categorize resources into human and non-human resources.For instance,in the healthcare domain,human resources include doctors,nurses,and other associated staff responsible for the execution of healthcare activities;whereas the non-human resources include surgical and other equipment needed for execution.In this study,we contend that the two types of resources(human and non-human)have a different impact on the process performance,so their suitability should be measured differently.However,no work has been done to evaluate the suitability of non-human resources for the tasks of a process.Consequently,it becomes difficult to identify and subsequently overcome the inefficiencies caused by the non-human resources to the task.To address this problem,we present a three-step method to compute a suitability score of non-human resources for the task.As an evaluation of the proposed method,a healthcare case study is used to illustrate the applicability of the proposed method.Furthermore,we performed a controlled experiment to evaluate the usability of the proposed method.The encouraging response shows the usefulness of the proposed method.

Formalization and Verification of Business Process Modeling Based on UML and Petri Nets

In order to provide a quantitative analysis and verification method for activity diagrams based business process modeling, a formal definition of activity diagrams is introduced. And the basic requirements for activity diagrams based business process models are proposed. Furthermore, the standardized transformation technique between business process models and basic Petri nets is presented and the analysis method for the soundness and well-structured properties of business processes is introduced.

Modeling and Analysis of Data Dependencies in Business Process for Data-Intensive Services

With the growing popularity of data-intensive services on the Internet, the traditional process-centric model for business process meets challenges due to the lack of abilities to describe data semantics and dependencies, resulting in the inflexibility of the design and implement for the processes. This paper proposes a novel data-aware business process model which is able to describe both explicit control flow and implicit data flow. Data model with dependencies which are formulated by Linear-time Temporal Logic(LTL) is presented, and their satisfiability is validated by an automaton-based model checking algorithm. Data dependencies are fully considered in modeling phase, which helps to improve the efficiency and reliability of programming during developing phase. Finally, a prototype system based on j BPM for data-aware workflow is designed using such model, and has been deployed to Beijing Kingfore heating management system to validate the flexibility, efficacy and convenience of our approach for massive coding and large-scale system management in reality.

Competency Driven Resource Evaluation Method for Business Process Intelligence

Enterprises are continuously aiming at improving the execution of processes to achieve a competitive edge.One of the established ways of improving process performance is to assign the most appropriate resources to each task of the process.However,evaluations of business process improvement approaches have established that a method that can guide decision-makers to identify the most appropriate resources for a task of process improvement in a structured way,is missing.It is because the relationship between resources and tasks is less understood and advancement in business process intelligence is also ignored.To address this problem an integrated resource classification framework is presenting that identifies competence,suitability,and preference as the relationship of task with resources.But,only the competence relationship of human resources with a task is presented in this research as a resource competence model.Furthermore,the competency calculation method is presented as a user guider layer for business process intelligencebased resource competence evaluation.The computed capabilities serve as a basic input for choosing the most appropriate resources for each task of the process.Applicability of method is illustrated through a heathcare case study.

PERFORMANCE-DRIVEN BUSINESS PROCESS MANAGEMENT METHODOLOGY FOR SMALL AND MEDIUM SIZED-ENTERPRISES

Based on the analysis of the common limitations of business processmanagement (BPM) methodologies and the requirements of small and medium sized-enterprises (SMEs),the importance of a 'performance construct' of BPM methodologies is identified, a six-phaseperformance-driven BPM methodology for the production and operation processes of Chinese SMEs isdeveloped. A case study on the process management of a medium-sized enterprise shows a successfulexample of running the methodology.

Mobile businessprocess modelingusinghigh level Petri nets

This paper aims at providing an effective modeling methods for more and more mobile business applications. First a high level Petri nets method-Xml nets is introduced, which combines the advantage of Petri nets and XML. Petri nets have strict mathematics and intuitionistic diagram ex- pression way, rich system describing means and system behavior analytical technology, and the re- lated powerful supporting tools. XML, as an extensible markup language, is already a information description de facto standard. XML nets could be utilized to model both the controlling flow and the data flow of mobile business process effectively, which consequently enables the analysis and optimi- zation of the mobile business processes and could be utilized to simulate the execution of the mobile business process with the Petri nets tools to improve the system execution efficiency. In this paper, to demonstrate the modeling of the controlling flow and data flow of mobile business process, an in- strument repair business case is modeled with XML nets.

Remaining Time Prediction for Business Processes with Concurrency Based on Log Representation

Remaining time prediction of business processes plays an important role in resource scheduling and plan making.The structural features of single process instance and the concurrent running of multiple process instances are the main factors that affect the accuracy of the remaining time prediction.Existing prediction methods does not take full advantage of these two aspects into consideration.To address this issue,a new prediction method based on trace representation is proposed.More specifically,we first associate the prefix set generated by the event log to different states of the transition system,and encode the structural features of the prefixes in the state.Then,an annotation containing the feature representation for the prefix and the corresponding remaining time are added to each state to obtain an extended transition system.Next,states in the extended transition system are partitioned by the different lengths of the states,which considers concurrency among multiple process instances.Finally,the long short-term memory(LSTM)deep recurrent neural networks are applied to each partition for predicting the remaining time of new running instances.By extensive experimental evaluation using synthetic event logs and reallife event logs,we show that the proposed method outperforms existing baseline methods.

A Template-Based Approach for Automatic Mapping between Business Process and BPEL Process

In order to support just-in-time reconfiguration of business process execution language （BPEL） process, a template-based mapping method is proposed to map business level process to BPEL process. The method builds up mapping relationships between the key points of business level process and BPEL process, which helps users to adjust the business level process with simplified operations, and automatically maps the changes to BPEL. In addition, a case of the application of the method in a clothing enterprise was illustrated.

Analyzing and Designing Business Processes Management System Based on Transformation of Instantiated Ontology’s State

The paper discusses efforts of finding a simple and transparent method to analyze business processes and developing its management system architecture. By introducing ontology and its state, the approach tried to find a unified representation and a flexible choreography of business processes. The main idea of the paper is the transformation of ontology＇s states, which are the most important scenarios of enterprises. The business activity composition, that is, case composition based on an AI technique, Case Based Reason （CBR）, which is to solve new problems by retrieving solutions to previous problems, and then store the modified solution. The main interest in CBR relies on that it allows a system to avoid past failures and exploit past successes.

Rapid Service-Oriented Business Process Generation Method Based on Ontology

Service-oriented business process generation is a key activity in the ServiceOriented Architecture(SOA)business lifecycle,and most of the other activities such as application execution depend on the business process being developed.After the business requirements are acquired,a developer has to use specific programming technologies to orchestrate web services to generate a deployable business process.It is time-consuming to specify all the business processes from lowlevel web services,especially for an enterprise that focuses on a series of similar businesses.This paper proposes a rapid service-oriented business process generation method with domain-specific assets specified in ontology systems.Assets with different levels of granularity are reused to refine the high level business process framework for executable business processes using the Business Process Executional Language(BPEL).The new methodology significantly simplifies service-oriented business process generation by reusing assets to construct business processes.A business process generation tool is also implemented to support the efficient visual design of SOA processes with the proposed method.This paper verifies the proposed method using a shipment tracking case.The studies show that the number of reusable assets increases significantly as these projects progress,and the business process generation speed also increases at the same time.

Research on Business Processes Optimization for Agile Manufacturing

Based on macroscopic and synthetic approaches, especially information entropy approach, the quantification of the flexible degree and order degree of business processes is studied. According to the outcome of above analysis, a conceptual model of optimizing business processes is proposed which supports to construct dynamic stable business processes. The research above has been applied in project 863/SDDAC-CIMS, and achieved primary benefits.

The application of business process re-engineering in Chinese enterprises

After joining in WTO,Chinese enterprises face more intense competitive environments. The problems, such as many foreign capital enterprises swarming into China, increasing market competitive ability, keeping on national and international market, have become more serious to enterprise’s decision maker. At the same time, the information technology is developing quickly, then business process re engineering will become valid path for enterprise increasing market competitive ability. As a case study, this paper applies Business Process Re engineering(BPR) approach to analyze a Chinese company.

Study on Business Process Reengineering for Chinese Traditional Logistics Enterprises

In this paper, after analyzing the predicaments that Chinese traditional logistics enterprises face while launching modem logistics services, the theory of reforming Chinese traditional logistics enterprises with Business Process Reengineering （BPR） is put forward. Then the basic implementation principles are discussed, and the steps of BPR are also analyzed for Chinese logistics enterprises. Moreover, five relevant measures of ensuring the success of BPR for them are concept reengineering, system reengineering, organization reengineering, culture reengineering and technology reengineering.

Business Process Reengineering: a Review

This paper presents a review of some principle components of Business Process Reengineering(BPR) for the purpose of understanding and deploying BPR related issues. The historical roots of BPR, the Critical Success Factors (CSFs) and enablers of BPR, and the modeling and simulation of BPR are discussed and reviewed.

Creating a Business Process Monitoring System ＂A-IOMS＂ for Software Development

In this paper, the authors establish the Amalab-integrated operation management system （A-IOMS） as a new way to carry out software development and monitor business processes. This new system puts the previously constructed the Amalab-project planning navigation system （A-PPNS） to work throughout the entire organization. The A-IOMS has several key elements. Specifically, the authors have constructed： （1） a Hi-reliability estimation system diagnostic tool that pinpoints problems with software development estimates and offers a prescription for resolving them; （2） a QA table map that allows for an immediate, thorough, and consistent quality assurance process; （3） a system for sharing software development schedules throughout the organization; and （4） a technological asset completion reporting system for passing down and cultivating software development technologies and strategically expanding them. The authors verified the effectiveness of the A-IOMS at company A, a systems integration company, and the given outcomes were obtained.

Applications of Business Process Management （BPM） in Chinese Firms： A Managerial Accounting Perspective

Based on a questionnaire survey, the aim of this paper is to explore the relationship of business process management （BPM） with managerial accounting system （MAS） and their economic performance consequences in Chinese firms. Statistical data show that more firms accept business process improvement （BPI） other than business process reengineering （BPR） and optimize their activity chains other than supply chains. Through the construction of three elements, i.e., goal-setting, monitoring, and incentive schemes, of MAS, the study finds that when implementing BPM, firms usually use accounting indexes to set goals of the effect of business processes and combine the goals with monitoring and incentive schemes. Statistical data also show that incentive schemes get the lowest usage degree compared with goal-setting and monitoring. In addition, there are differences in their managerial accounting usages for BPM among firms considering ownership, industry, and scale. The main finding of this paper is that BPM empirically brings favorable changes to firms＇ economic performance via managerial accounting in general, and via goal-setting, monitoring, and incentive schemes in particular.

Value Creation of Business Process Management （BPM） and Managerial Accounting System （MAS）： A Case Study

This paper explores the value creation of business process management （BPM） and managerial accounting system （MAS） using a case study. The findings show that BPM shortens the management chain and increases the connections among functions in the organization by right reassignment. Accounting indicators in MAS provide necessary information about business processes, which assists performance evaluation in BPM, and meanwhile, incentive schemes give enough motives, which guide employees to take actions in accordance with the organizational strategies and processes＇ goals. The information effect and motive effect of MAS increase employees＇ work satisfaction and their cooperation with each other. In the end, the integration of BPM and MAS improves the organizational economic performance, thus creating value for the organization. The results explain the reason why so much BPM fails in practice, because right assignment, performance evaluation system, and incentive schemes constitute organizational architecture, which is critical to organizational value. Additionally, the value creation of BPM and MAS depends on their coordination with the external environment, the internal situation, and the organizational strategy. From the view of managerial accounting perspective, MAS not only changes with the organization development but also facilitates the organization development.