Process Discovery and Refinement of an Enterprise Management System

The need for the analysis of modern businesses is rapidly increasing as the supporting enterprise systems generate more and more data.This data can be extremely valuable for executing organizations because the data allows constant monitoring,analyzing,and improving the underlying processes,which leads to the reduction of cost and the improvement of the quality.Process mining is a useful technique for analyzing enterprise systems by using an event log that contains behaviours.This research focuses on the process discovery and refinement using real-life event log data collected from a large multinational organization that deals with coatings and paints.By investigating and analyzing their order handling pro-cesses,this study aims at learning a model that gives insight inspection of the processes and performance analysis.Furthermore,the animation is also performed for the better inspection,diagnostics,and compliance-related questions to specify the system.The configuration of the system and the conformance checking for further enhancement is also addressed in this research.To achieve the objectives,this research uses process mining techniques,i.e.process discovery in the form of formal Petri nets models with the help of process maps,and process refinement through conformance checking and enhancement.Initially,the identified executed process is reconstructed by using the process discovery techniques.Following the reconstruction,we perform a deep analysis for the underlying process to ensure the process improvement and redesigning.Finally,some recommendations are made to improve the enterprise management system processes.

Development and Application of Procedures for the Management of Skin Toxicity Related to Immune Checkpoint Inhibitors in Patients with Lung Cancer

Objective: To establish the procedures for the management of skin toxicity related to immune checkpoint inhibitors in patients with lung cancer and explore the effect of application. Methods: A total of 24 evidence-based evidences were collected from 7 aspects, including risk factors, baseline screening, ICIs monitoring, daily skin care, multidisciplinary management, symptom management and health education. A total of 157 lung cancer patients and 94 nurses from 8 wards of the Oncology department of our hospital from November 2022 to May 2023 were selected by convenience sampling. A total of 77 patients and 46 nurses from ward 1 - 4 were divided into the baseline group. There were 80 patients and 48 nurses in Ward 5 - 8 as the evidence-based practice group. In the baseline group, patients were treated with routine methods such as assessing skin symptoms, taking medication according to symptoms, guiding to keep skin clean and moist, eating a light diet, and avoiding scratching. The evidence-based practice group adopts an evidence-based continuous improvement model for nursing. The differences in the severity of symptoms of skin toxicity in the second cycle of medication and the knowledge and practice of self-care of skin toxicity were compared between the two groups before and after the use of the syndrome, as well as the differences in the implementation rate of review indicators, evidence-based ability and knowledge and practice of skin toxicity care before and after the use of the syndrome. Results: The incidence and severity of cutaneous toxicity were significantly lower after treatment than before treatment (P P < 0.05). Conclusion: The implementation of immune checkpoint inhibitor-related skin toxicity management procedures can effectively reduce the incidence and severity of skin toxicity symptoms, optimize the clinical pathway, and improve the quality of care.

A New Fuzzy Clustering-Ranking Algorithm and Its Application in Process Alarm Management

Overmany alarms of modern chemical process give the operators many difficulties to decision and diag- nosis. In order to ensure safe production and process operating, management and optimization of alarm information are challenge work that must be confronted. A new process alarm management method based on fuzzy clustering- ranking algorithm is proposed. The fuzzy clustering algorithm is used to cluster rationally the process variables, and difference driving decision algorithm ranks different clusters and process parameters in every cluster. The alarm signal of higher rank is handled preferentially to manage effectively alarms and avoid blind operation. The validity of proposed algorithm and solution is verified by the practical application of ethylene cracking furnace system. It is an effective and dependable alarm management method to improve operating safety in industrial process.

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.

Formal Modeling and Discovery of Multi-instance Business Processes: A Cloud Resource Management Case Study

Process discovery, as one of the most challenging process analysis techniques, aims to uncover business process models from event logs. Many process discovery approaches were invented in the past twenty years;however, most of them have difficulties in handling multi-instance sub-processes. To address this challenge, we first introduce a multi-instance business process model(MBPM) to support the modeling of processes with multiple sub-process instantiations. Formal semantics of MBPMs are precisely defined by using multi-instance Petri nets(MPNs)that are an extension of Petri nets with distinguishable tokens.Then, a novel process discovery technique is developed to support the discovery of MBPMs from event logs with sub-process multi-instantiation information. In addition, we propose to measure the quality of the discovered MBPMs against the input event logs by transforming an MBPM to a classical Petri net such that existing quality metrics, e.g., fitness and precision, can be used.The proposed discovery approach is properly implemented as plugins in the Pro M toolkit. Based on a cloud resource management case study, we compare our approach with the state-of-theart process discovery techniques. The results demonstrate that our approach outperforms existing approaches to discover process models with multi-instance sub-processes.

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.

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.

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.

Process Management in Insurance Companies

The importance of insurance activity is constantly growing, generating new problems and setting new challenges. One of these challenges is to meet the growing requirements and expectations of customers. This requires the efficient management of insurance companies. This means the necessity of applying modern management concepts, first and foremost, the concept of process management and instruments related to this process. This article describes the results of research on process management in insurance companies operating in Poland that was conducted by the Faculty of Management at the Warsaw University of Technology and presents the concept of the identification of processes carried out in insurance companies encompassing management, basic and auxiliary processes, as well as the objectives of the processes and the relationships between the basic processes and other processes carried out in insurance companies.

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.

Management of Innovation Process in Services： Micro and Small Enterprises of the Metropolitan Region of Campinas

This study aimed to explore how processes of innovation are perceived and managed in micro and small service-oriented companies in Campinas, i.e., verifying how people in these companies understand, identify, and manage innovation （what tools or methodologies）. Innovation is not a new concept, but its perception as a process, detached from randomness, is. This understanding is what allows its management as a tool to improve results and competitiveness, and to the perpetuation of the company. The research had a qualitative approach that consisted in the content analysis of structured interviews held with 10 respondents of five different companies, using eight innovation-focused questions, adapted from the Brazilian National Quality Foundation （FNQ）. After interviews, four categories were identified： innovation understanding, innovative ambience, innovation process management, and learning during the process--the first two regarding the subjective features of innovation and the latter two the objective features. Analysis outcome has shown that companies understand the concept and importance of innovation, but still do not see it as a process, which leads them to try isolated initiatives, usually executed by instinct only. Due to the fact that innovation is not considered as a process, most practices encourage generation of ideas, instead of goals, key performance indicators （KPIs）, and learning--this latter one, only occurs informally and over time.

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.

Common Management Process Model of New TQM Based on the Situation Analysis

In the previous study, we suggested the concept of new TQM based on the consideration of basic concept of Quality Control. Also, in the previous study, we suggested the target domains and entities of product and process based on the TQM Matrix and view point of Three Dimensional Unification Value Models for managing quality of organization systems. Furthermore, in the previous study, we suggest the Common Management Process of organizations. Based on the above suggestion, in this paper, we would like to propose the Common Management Process Model of Total Quality Management based on the consideration of situation analysis and more precise definition of TQM Matrix and Three Dimensional Unification Value Model of “Product and Process”. Improvement of quality and efficiency of organization management can be expected by the integration of conventional different management such as quality assurance, quality improvement, risk management, investment individually from the view point of common management process.

Research and Implementation of Task Management Model in Product Development Process Management

The implementation of product development process management (PDPM) is an effective means of developing products with higher quality in shorter lead time. It is argued in this paper that product, data, person and activity are basic factors in PDPM With detailed analysis of these basic factors and their relations in product developmed process, all product development activities are considered as tasks and the management of product development process is regarded as the management of task execution A task decomposition based product development model is proposed with methods of constructing task relation matrix from layer model and constraint model resulted from task decomposition. An algorithm for constructing directed task graph is given and is used in the management of tasks. Finally, the usage and limitation of the proposed PDPM model is given with further work proposed.

Internet of Things Supported Airport Boarding System and Evaluation with Fuzzy

The existing systems sustained with the investments made require more automation and digital transformation with the continuous advancement of tech-nology.The aviation industry is a sector that is open to more automation and digi-tal transformation,mainly because of the intense competition and the analysis of a large variety of data.The long duration of operations in current airline processes and some processflows cause customer dissatisfaction and cost increase.In this study,the boarding process,which is one of the operational processes of airline transportation and is open to improvement,was discussed.The classical boarding process has been redesigned using Internet of Things technology a model called Boarding 4.0 was created.With Boarding 4.0,it is aimed to design a process where passengers can take their time before boarding more efficiently.In the study,the sub-processes of the Boarding 4.0 model,other processes that the sub-processes interact with,their activities,and data exchange passenger move-ments during the activities are explained in detail.Compared to the classical boarding process and Boarding 4.0 with the fuzzy ahp technique,it has been shown that boarding 4.0 is more advantageous and passenger movement times can be reduced during boarding.As a result of the evaluation made with the fuzzy ahp,it was determined that boarding 4.0 is more advantageous than the classical boarding process.In addition,when the total time of the sub-activities in the board-ing process is calculated,boarding activities for a passenger take 50 min with the classic boarding process and 20 min with Boarding 4.0.Thus,when Boarding 4.0 is used,the passenger gains 30 min.Furthermore,when the calculation is made concerning the airport’s current capacity,two passengers are hosted with the clas-sical boarding process,whilefive passengers are hosted with Boarding 4.0.This acquisition is significant for airports in terms of efficient use of resources.

Reflections on Research and Development Management Innovation in Huawei Enterprises

As an advanced global provider of information and communication technology solutions,Huawei has always maintained a leading position in the ICT field and is committed to achieving a future information society and building a better fully connected world.Looking at the rapid development of Huawei,it is inseparable from its comprehensive and advanced enterprise management innovation concept,which is also one of the main reasons for helping Huawei become a world-class enterprise.“Huawei has not succeeded,it is just growing”is a famous quote from Ren Zhengfei,the main founder and president of Huawei.In the context of the rapid development of the Internet industry and information technology,enterprises must establish the concept of innovative development,implement innovation management,and create a good production and development environment.This paper analyzes the content of Huawei’s enterprise management innovation,including Huawei’s management philosophy,management mode,management status quo,and management innovation suggestions,understands and grasps the choice of enterprise management mode,learns advanced enterprise management experience,and provides reference for other enterprises to practice innovation management.

Role-Based Modeling in Enterprise Dynamic Alliance

In enterprise dynamic alliance towards agile manufacturing systems, any group needs to know which activities it must take part in, in what order those activities take place and how many other groups it must interact with. The traditional procedural models can’t meet the requirement of the modeling for an enterprise dynamic alliance. In this paper, we use role based models for an enterprise modeling. Role based models group activities into roles, which describe the desired behavior of individual enterprise. We have developed a graphical modeling tool built on Web/DCOM platform according to Petri net theory and role based methodology.

Intelligent smelting process,management system:Efficient and intelligent management strategy by incorporating large language model

In the steelmaking industry,enhancing production cost-effectiveness and operational efficiency requires the integration of intelligent systems to support production activities.Thus,effectively integrating various production modules is crucial to enable collaborative operations throughout the entire production chain,reducing management costs and complexities.This paper proposes,for the first time,the integration of Vision-Language Model(VLM)and Large Language Model(LLM)technologies in the steel manufacturing domain,creating a novel steelmaking process management system.The system facilitates data collection,analysis,visualization,and intelligent dialogue for the steelmaking process.The VLM module provides textual descriptions for slab defect detection,while LLM technology supports the analysis of production data and intelligent question-answering.The feasibility,superiority,and effectiveness of the system are demonstrated through production data and comparative experiments.The system has significantly lowered costs and enhanced operational understanding,marking a critical step toward intelligent and cost-effective management in the steelmaking domain.

Artifact-centric workflow management system

Data-centric modeling approach for workflow specification and design has received considerable attention from research and development communities.An architecture for a workflow management system named EZFLOWS was outlined.Key components and research issues associated with the development of EZFLOWS were discussed.

Key Techniques for the Development of Web-Based PDM System

Some key techniques for the development of web-based product data management （PDM） system are introduced. The four-tiered B/S architecture of a PDM system-BITPDM is introduced first, followed by its design and implementation, including virtual data vault, flexible coding system, document management, product structure and configuration management, workflow/process and product maturity management. BITPDM can facilitate the activities from new product introduction phase to manufacturing, and manage the product data andtheir dynamic changing history. Based on Microsoft. NET, XML, web service and SOAP techniques, BITPDM realizes the integration and efficient management of product information.