Identyfikatory
Warianty tytułu
Analiza i poprawa zarządzania procesami biznesowymi - w oparciu o mapowanie strumienia wartości (VSM) w firmach produkcyjnych
Języki publikacji
Abstrakty
Business process management is a very important factor in assessing the effectiveness of production systems (entire enterprises or departments). And while the planning and management of business processes is mastered, it is difficult to create relationships between coexisting processes within one production system. Usually, business process management refers to extracted (isolated) processes, in this case relationships between different processes were looked for. This paper is devoted to the assessment and analysis of the interaction of business processes related to the implementation of one engineering project. The paper presents the results of research carried out in relation to four coexisting business processes in a manufacturing company - with assumption that the four analyzed business processes are located within one project. Business processes were defined on the basis of areas determined in the Big Picture analysis (in Value Stream Mapping analysis). As indicators of the impact of business process elements, the correlation coefficient was taken into account, the value of which determined the impact (or lack of impact) between the components of the various business processes. It has been noticed that the attributes from process 1 (Launching the project implementation) and process 2 (Scheduling and project management) show a very strong and strong correlation with the attributes in other processes 3 (Management and supply of materials) and 4 (Production and distribution). On the basis of the presented results, the critical points of the information / decision flow between the coexisting business processes have been indicated.
Zarządzanie procesami biznesowymi jest bardzo ważnym czynnikiem w ocenie efektywności systemów produkcyjnych (całych przedsiębiorstw lub działów). I o ile planowanie i zarządzanie procesami biznesowymi jest opanowane, trudno jest tworzyć relacje między współistniejącymi procesami w ramach jednego systemu produkcyjnego. Zazwyczaj zarządzanie procesami biznesowymi odnosi się do wyodrębnionych (wyizolowanych) procesów, w tym przypadku poszukiwano relacji pomiędzy różnymi procesami. Artykuł poświęcony jest ocenie i analizie interakcji procesów biznesowych związanych z realizacją jednego projektu inżynierskiego. W artykule przedstawiono wyniki badań przeprowadzonych w odniesieniu do czterech współistniejących procesów biznesowych w przedsiębiorstwie produkcyjnym - przy założeniu, że cztery analizowane procesy biznesowe są ulokowane w ramach jednego projektu. Procesy biznesowe zostały zdefiniowane na podstawie obszarów określonych w analizie Big Picture (w analizie Mapowania Strumienia Wartości). Jako wskaźniki wpływu elementów procesu biznesowego brano pod uwagę współczynnik korelacji, którego wartość określała wpływ (lub brak wpływu) pomiędzy komponentami różnych procesów biznesowych. Zauważono, że atrybuty z procesu 1 (Uruchomienie realizacji projektu) i procesu2 (Planowanie i zarządzanie projektami) wykazują bardzo silną i silną korelację z atrybutami w innych procesach 3 (Zarządzanie i dostawa materiałów) i 4 (Produkcja i dystrybucja). Na podstawie przedstawionych wyników wskazano krytyczne punkty przepływu informacji/decyzji pomiędzy współistniejącymi procesami biznesowymi.
Czasopismo
Rocznik
Tom
Strony
213--231
Opis fizyczny
Bibliogr. 45 poz., rys., tab.
Twórcy
autor
- Czestochowa University of Technology, Faculty of Management
Bibliografia
- 1.Ahmad T., van Looy A., (2020). Business Process Management and Digital Innovations:A Systematic Literature Review, Vol. 12.
- 2.Berente N., Vandenbosch B. and Aubert, B., (2009). Information flows and business process integration. Business Process Management Journal, 15(1), 119-141.
- 3.Cselényi J., Smid L. and Kovács G., (2002). Evaluation Methods of Storage Capacity Between Manufacturing Levels of Eees at Changing Product Structure, [in:] MicroCad International Scientific Conference. March 7-8, Miskolc, Hungary.
- 4.Dharmawan Y. S., Divinagracia G. G., Woods E. and Kwong B., (2019). Inter-dependencies on BPM Maturity Model Capability Factors in Deriving BPM Roadmap. Procedia Computer Science, 161(1), 1089-1097.
- 5.Dumas M., La Rosa M., Mendling J. and Reijers, H. A., (2013). Introduction to Business Process Management. In Fundamentals of Business Process Management. Berlin: Springer.
- 6.Dumitriu D., (2018). Research on the trend and potential impact of adopting BPM techniques over general performance of the organization. Procedia Manufacturing, 22, 575-582.
- 7.Erasmus J., Vanderfeesten I., Traganos K. and Grefen P., (2020). Using business process models for the specification of manufacturing operations. Computers in Industry, 123, 103297.
- 8.Gomes J. G. C., Okano M. T. and Otola I., (2020). Creation of indicators for classification of business models and business strategies in production systems. Polish Journal of Management Studies, 22(2), 142-157.
- 9.Grabara J., Cehlar M. and Dabylova M., (2019). Human factor as an important element of success in the implementation of new management solutions. Polish Journal of Management Studies, 20(2), 225-235.
- 10.Guizani K., Ghannouchi, S. A., (2021). An approach for selecting a business process modeling language that best meets the requirements of a modeler. Procedia Computer Science, 181, 843-851.
- 11.Hernaus T., Pejić Bach M. and Bosilj Vukšić V., (2012). Influence of strategic approach to BPM on financial and non‐financial performance. Baltic Journal of Management, 7(4), 376-396.
- 12.Hussain H. I., Kot S., Kamarudin F. and Mun W. C., (2020). The Nexus of Competition Freedom and the Efficiency of Microfinance Institutions. Journal of Competitiveness, 12(2), 67-89.
- 13.Ingaldi M., Ulewicz R., (2020). Problems with the Implementation of Industry 4.0 in Enterprises from the SME Sector. Sustainability, 12(1), 217.
- 14.Jacka J. M., Keller P.J., (2009). Business Process Mapping, improving customer satisfaction, John Wiley & Sons, Inc.
- 15.Kahrovic E., Krstic B., (2015). The effects of business process management on improvement of firm performances. Industrija, 43(4), 67-87.
- 16.Karrach L., Pivarčiová E., (2020). Recognition of Data Matrix Codes in Images and their Applications in Production Processes. Management Systems in Production Engineering, 28(3), 154-161.
- 17.Kir H., Erdogan N., (2021). A knowledge-intensive adaptive business process management framework (Vol. 95).
- 18.Kiran D. R., (2017). Kaizen and Continuous Improvement. Total Quality Management, 313-332.
- 19.Klimecka-Tatar D., (2018). Context of production engineering in management model of Value Stream Flow according to manufacturing industry. Production Engineering Archives, 21(21), 32-35.
- 20.Klimecka-Tatar D., Ingaldi M., (2020). How to indicate the areas for improvement in service process - the Knowledge Management and Value Stream Mapping as the crucial elements of the business approach. Revista Gestão & Tecnologia, 20(2), 52-74.
- 21.Koehler J., Hofstetter J. and Woodtly R., (2010). Capabilities and Levels of Maturity in IT-Based Case Management. Proceedings of the 10th International Conference on Business Process Management, 7481, 49-64.
- 22.Kononov Y., (2017). Principles and approaches to improvment the bussines process management system of an industrial enterprise. Transaction of Scientific Papers of the Novosibirsk State Technical University. (1), 85-97.
- 23.Kovács G., (2020). Combination of Lean value-oriented conception and facility layout design for even more significant efficiency improvement and cost reduction. International Journal of Production Research, 58(10), 2916-2936.
- 24.Krynke M., Mielczarek K., (2018). Applications of linear programming to optimize the cost-benefit criterion in production processes. MATEC Web of Conferences, 183, 4004.
- 25.Leymann F., Karastoyanova D. and Papazoglou M. P., (2010). Business Process Management Standards. Handbook on Business Process Management 1, 33, 513-542.
- 26.Matuszny M., (2020). Building decision trees based on production knowledge as support in decision-making process. Production Engineering Archives, 26(2), 36-40.
- 27.Pietraszek J., Radek N. and Goroshko A. V., (2020). Challenges for the DOE methodology related to the introduction of Industry 4.0. Production Engineering Archives, 26(4), 190-194.
- 28.Pinto J., dos Santos V. D., (2020). Assessing the Relationship Between BPM Maturity and the Success of Organizations. In Book: Applied Informatics and Cybernetics in Intelligent Systems, 108-126.
- 29.Raczyńska M., Krukowski K., (2019). Organisational Culture as a Determinant of Business Process Management in the Community Offices in Poland. Administrative Sciences, 9(4), 96.
- 30.Reijers H. A., (2021). Business Process Management: The evolution of a discipline. Computers in Industry, 126, 103404.
- 31.Saab N., Helms R. and Zoet M., (2018). Predictive quality performance control in BPM: proposing a framework for predicting quality anomalies. Procedia Computer Science, 138(5), 714-723.
- 32.Schmiedel T., Recker J. and Vom Brocke J., (2020). The relation between BPM culture, BPM methods, and process performance: Evidence from quantitative field studies. Information & Management, 57(2), 103175.
- 33.Siwiec D., Pacana A., (2020). Identifying the source of the problem by using implemented the FAHP method in the selected quality management techniques. Production Engineering Archives, 26(1), 5-10.
- 34.Snabe J. H., Rosenberg A., Moller C. & Scavillo, M., (2008). Business Process Management - the SAP Roadmap.: SAP Press.
- 35.Straka, M., Šaderová, J., Bindzár, P., Małkus, T., Lis, M. (2019), Computer simulation as a means of efficiency of transport processes of raw materials in relation to a cargo rail terminal: A case study. Acta Montanistica Slovaca, 24 (4), 307-317.
- 36.Ślusarczyk B., Tvaronavičienė M., Ul Haque A. and Oláh J., (2020). Predictors of Industry 4.0 technologies affecting logistic enterprises’ performance: international perspective from economic lens. Technological and Economic Development of Economy, 26(6), 1263-1283.
- 37.Tkachenko V., Klymchuk M. and Tkachenko I., (2021). Recursive and Convergence Methodology of the Investment Management of the Enterprise Digitalization Processes. Management Systems in Production Engineering, 29(1), 14-19.
- 38.Tran T.-A., Luu-Nhan K., Ghabour R. and Daroczi M., (2020). The use of Lean Six-Sigma tools in the improvement of a manufacturing company - case study. Production Engineering Archives, 26(1), 30-35.
- 39.Ulewicz R., Mazur M., Knop K. and Dwornicka R., (2020). Logistic Controlling Processes and Quality Issues in a Cast Iron Foundry. Materials Research Proceedings, 17, 65-71.
- 40.Umeda Y., Ota J., Shirafuji S., Kojima F., Saito M., Matsuzawa H. and Sukekawa T., (2020). Exercise of digital kaizen activities based on ‘digital triplet’ concept. Procedia Manufacturing, 45(2), 325-330.
- 41.Van der Aalst W. M. P., (2003). Business Process Management Demystified: A Tutorial on Models, Systems and Standards for Workflow Management. Lecture Notes in Computer Science, 3098, 1-65.
- 42.Vom Brocke J., Baier M.-S., Schmiedel T., Stelzl K., Röglinger M. and Wehking C., (2021). Context-Aware Business Process Management. Business & Information Systems Engineering, 47(4), 244.
- 43.Vom Brocke J., Zelt S. and Schmiedel T., (2016). On the role of context in business process management. International Journal of Information Management, 36(3), 486-495.
- 44.Willaert P., van den Bergh J., Willems J. and Deschoolmeester D., (2007). The Process-Oriented Organisation: A Holistic View Developing a Framework for Business Process Orientation Maturity. Business Process Management, 5th International Conference, BPM 2007, Brisbane, Australia, September 24-28, 2007, Proceedings, 4714, 1-15.
- 45.Závadský, J., Závadská, Z., Veselovská, L. and Szczepańska-Woszczyna, K. (2016). Consistency of the performance management system and its quantification using the Z-MESOT framework. International Journal for Quality Research, 10(4), 665-684.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-86ae9349-6287-453e-87e3-13758e04725f