Decision Making in Manufacturing and Services
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ISSN 1896-8325
e-ISSN: 2300-7087
Call number
Volume
Special Issue: Business Process Management
Date
2024
Description
Journal
Decision Making in Manufacturing and Services
AGH University of Science and Technology Press (2007-)
ISSN: 1896-8325 e-ISSN: 2300-7087
ISSN: 1896-8325 e-ISSN: 2300-7087
journal.volume.project
Contains
Journal Issues
Articles
Process Knowledge Value Proposition in Business Process Management
(Wydawnictwa AGH, 2024) Pańkowska, Małgorzata
Business process conceptual modeling focuses on studying process scenarios and mapping workflows as well as analyzing a business actor’s behavior. Taking the process-modeling techniques that have been presented in the literature into account, the author noticed a variety of notations that were applied for the process’s description. In addition, the values in the business-process models and the management-science literature have different interpretations. In this study, the author focused on process-value identification, interpretation, and visualization and aimed to provide literature surveys on process knowledge as well as on process value. However, the academic research background is followed by another qualitative approach to capture process value and emphasize the thoughts of the business actors in a process. Hence, the case-study analysis is supplemented by a literature survey. In this case study (concerning a publishing house), process knowledge was received through interviews with the publishing house’s main editor as well as through a study of discussions that were provided by the editorial committee members. Finally, the potential advantages of the studying of process value and some limitations and challenges for the identification and modeling of value are identified. By examples, the author revealed some values that are realizable in the business process and discussed them; i.e., relevance and rigor in the publishing process. The main contribution concerned identifying and visualizing business-process value through modeling techniques. The author strongly emphasized that, in the research process as well as in the research-result-dissemination process, relevance and rigor as values should be critical. Beyond this, the author presented how goal-modeling notation i* and ArchiMate notation can be combined with e3 value-modeling notation and which consequences arrived from this combination.
Technological and Managerial Aspects in Context of Business-Process Management and Optimization
(Wydawnictwa AGH, 2024) Rudolf, Łukasz; Roszak, Marek
This article presents an original business-process-management (BPM) approach that integrates modern information technologies with managerial methods to enhance operational agility and organizational adaptability in a dynamic environment. The findings indicated that a harmonious integration of diverse information technologies with managerial methods significantly improved the execution of processes and enhanced organizational efficiency in achieving strategic objectives. A two-stage analysis was conducted, including a detailed review of key tools and strategies that supported essential business processes such as production, distribution, customer service, and order processing. Subsequently, the interdependencies among these processes were assessed, thus analyzing their impacts on operational flexibility and fluidity. The results suggested that an integrated approach that combines modern information technologies with managerial methods leads to significant improvements in performance, shorter lead times, optimized resource utilization, and faster responses to changing market demands. This study provides practical insights for those organizations that seek to maximize the benefits of digitalization and implement proven managerial methods to improve operational outcomes and achieve sustainable competitive advantages amid increasing competition and dynamic market changes.
Digital Transformation: Impact of Modern Technologies and Project Management on Optimization of Production Processes in Era of Industry 4.0
(Wydawnictwa AGH, 2024) Stelmach, Adrian
This article explores the impacts of digital transformations and new technologies in industrial sector (particularly through the Fourth Industrial Revolution) on optimizing production processes. Characterized by key technologies such as the Internet of Things (IoT), big data analytics, artificial intelligence (AI), blockchains, and advanced robotics, Industry 4.0 has significantly shaped modern manufacturing management. IoT enables autonomous communications between machines and equipment, providing real-time insights into production parameters and enabling predictive maintenance, and big data plays a vital role by analyzing the large volumes of data that are generated by these devices, thus supporting informed management decisions. AI and machine learning help automate complex tasks, optimize production schedules, and improve product quality through real-time adjustments. Blockchain enables decentralized and secure data recording, which is particularly useful in supply-chain management. Advanced robotics increases production speed and accuracy, thus reducing labor costs and mitigating any risks that are associated with hazardous tasks. Integrating these technologies requires strategic planning, including identifying key challenges, conducting pilot projects, integrating with existing IT and OT systems, and managing organizational change. Measuring the effectiveness of Industry 4.0 implementation should involve well-defined key performance indicators (KPIs) and return-on-investment (ROI) analysis. The primary challenges that are associated with adopting Industry 4.0 include the alignment of technology with specific business needs, employee resistance to change, and hidden costs of implementation. In summary, industrial transformation offers opportunities for companies to optimize production processes, reduce costs, and increase competitiveness in the global marketplace. However, a careful approach is necessary to maximize efficiency, foster innovation, and secure long-term success in an increasingly digitalized world.
Case Study: Development of Employee Suggestion System at OKNOPLAST Manufacturing Company as Element of Process Improvement
(Wydawnictwa AGH, 2024) Męcfel, Emilia
This case study is focused on the development of the employee suggestion system at OKNOPLAST, a window joinery company. Based on the principles of the Kaizen philosophy, this system allows employees to make suggestions for improving the company’s production processes and their work environment. In the course of the analysis, a decline in the number of suggestions that were made and a reduced rate of their acceptance were identified, which indicated the need to get to the root causes of this phenomenon using lean methodology and elements of business-process management (BPM). In response to these challenges, measures were taken that included spreading awareness among managers, promoting the employee suggestion system (ESS), training new employees, and providing technical and analytical support for process engineering; these increased the number of submitted and accepted suggestions. Visualizations of the results and transparent reports were used, which contributed to an increase in the number of submitted and successful applications. As a result, there was an increase in the acceptance rate and employee involvement in the continuous improvement process. The study showed that lean and Kaizen methods had positive impacts on the company’s organizational culture and process efficiency. The results suggested that similar solutions could be successfully adapted in other manufacturing companies regardless of the industry. The study’s conclusions underscore the importance of engaging employees and supporting their initiatives, which can be key to achieving long-term benefits and improving performance.
Use of Integrated ECM/BPM Platforms in Financial, Quality, and HR Processes – Case Study of Large Organization from Medical Industry
(Wydawnictwa AGH, 2024) Trąbka,Jan; Makowski, Marcin
This paper discusses the integration of two independently evolving fields in management and information technology: business process management (BPM), and enterprise content management (ECM). The paper’s objective is to highlight the advantages of integrating these fields – particularly from practical and technological perspectives. The analysis of the integration benefits is based on a case study of a project that was focused on digitizing financial, quality, and HR processes within a nationwide network of diagnostic laboratories. In this project, an integrated open-source ECM/BPM platform that combined the Camunda BPM and Alfresco ECM environments was used as the primary technological component. The analysis of the implemented processes showed that most of them were classified as content-/ document-centric, thus necessitating the use of the standard content processing services that were embedded within the ECM systems during their execution. Furthermore, the content that was generated and shared within these processes was stored more efficiently and securely in the ECM repository. The final aspect that is discussed was the potential for creating a centralized content processing model across the organization by using the integrated ECM/BPM platform as the central component.