Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32727
Modular Data and Calculation Framework for a Technology-Based Mapping of the Manufacturing Process According to the Value Stream Management Approach

Authors: Tim Wollert, Fabian Behrendt


Value Stream Management (VSM) is a widely used methodology in the context of Lean Management for improving end-to-end material and information flows from a supplier to a customer from a company’s perspective. Whereas the design principles, e.g. Pull, value-adding, customer-orientation and further ones are still valid against the background of an increasing digitalized and dynamic environment, the methodology itself for mapping a value stream is characterized as time- and resource-intensive due to the high degree of manual activities. The digitalization of processes in the context of Industry 4.0 enables new opportunities to reduce these manual efforts and make the VSM approach more agile. The paper at hand aims at providing a modular data and calculation framework, utilizing the available business data, provided by information and communication technologies for automizing the value stream mapping process with focus on the manufacturing process.

Keywords: Industry 4.0, lean management 4.0, value stream management 4.0, value stream mapping.

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 262


[1] A. Lugert, K. Völker, and H. Winkler, “Dynamization of Value Stream Management by technical and managerial approach,” presented at the Procedia CIRP, Jun. 2018, vol. 72. doi: 10.1016/j.procir.2018.03.284.
[2] J. Mangers, M. Minoufekr, P. Plapper, and C. Oberhausen, “Verbesserung unternehmensübergreifender Prozessabläufe,” Jun. 2020.
[3] V. Balaji, P. Venkumar, M. S. Sabitha, and D. Amuthaguka, “DVSMS: dynamic value stream mapping solution by applying IIoT,” Sādhanā, vol. 45, no. 1, p. 38, Feb. 2020, doi: 10.1007/s12046-019-1251-5.
[4] A. Lugert, A. Batz, and H. Winkler, “Empirical assessment of the future adequacy of value stream mapping in manufacturing industries,” J. Manuf. Technol. Manag., vol. 29, no. 5, pp. 886–906, Jan. 2018, doi: 10.1108/JMTM-11-2017-0236.
[5] K. Erlach, M. Böhm, S. Gessert, S. Hartleif, T. Teriete, and R. Ungern-Sternberg, “Die zwei Wege der Wertstrommethode zur Digitalisierung: Datenwertstrom und WertstromDigital als Stoßrichtungen der Forschung für die digitalisierte Produktion,” Z. Für Wirtsch. Fabr., vol. 116, no. 12, pp. 940–944, Dec. 2021, doi: 10.1515/zwf-2021-0216.
[6] T. Meudt, “Value stream mapping 4.0: Holistic examination of value stream and information logistics in production (Wertstromanalyse 4.0: Ganzheitliche Betrachtung von Wertstrom und Informationslogistik in der Produktion),” ZWF Z. Fuer Wirtsch. Fabr., vol. 111, no. 6, pp. 319–323, 2016.
[7] L. Hartmann, T. Meudt, S. Seifermann, and J. Metternich, “Value stream method 4.0: holistic method to analyse and design value streams in the digital age,” Procedia CIRP, vol. 78, pp. 249–254, Jan. 2018, doi: 10.1016/j.procir.2018.08.309.
[8] M. Ramadan, Z. Wang, and B. Noche, “RFID- Enabled dynamic Value Stream Mapping,” presented at the Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012, Jul. 2012, pp. 117–122. doi: 10.1109/SOLI.2012.6273515.
[9] B. Gladysz and A. Buczacki, “Wireless technologies for lean manufacturing – a literature review,” Manag. Prod. Eng. Rev., 2018, doi: 10.24425/119543.
[10] P. Tamás, “Process improvement trends for manufacturing systems in industry 4.0,” Acad. J. Manuf. Eng., vol. 14, p. 7, Dec. 2016.
[11] N. Frick and J. Metternich, “The Digital Value Stream Twin,” Systems, vol. 10, p. 102, Jul. 2022, doi: 10.3390/systems10040102.
[12] P. Zuhr, An approach for target-oriented process analysis for the implementation of Digital Process Optimization Twins in the field of intralogistics. 2021, p. 191. doi: 10.46354/i3m.2021.emss.025.
[13] T.-A. Tran, T. Ruppert, and J. Abonyi, “Indoor Positioning Systems Can Revolutionise Digital Lean,” Appl. Sci., vol. 11, no. 11, Art. no. 11, Jan. 2021, doi: 10.3390/app11115291.
[14] D. Arey, C. H. Le, and J. Gao, “Lean industry 4.0: a digital value stream approach to process improvement,” Procedia Manuf., vol. 54, pp. 19–24, 2021, doi: 10.1016/j.promfg.2021.07.004.
[15] H. Ljunglöf and D. Skogh, “Value Stream Mapping with Microsoft Dynamics AX,” Feb. 2022.
[16] T. Wagner, C. Herrmann, and S. Thiede, “Identifying target oriented Industrie 4.0 potentials in lean automotive electronics value streams,” Procedia CIRP, vol. 72, pp. 1003–1008, 2018.
[17] M. Ramadan and B. Salah, “Smart Lean Manufacturing in the Context of Industry 4.0: A Case Study,” Int. J. Ind. Manuf. Eng., vol. 13, no. 3, pp. 174–181, Feb. 2019.
[18] M. Ramadan, B. Salah, M. Othman, and A. A. Ayubali, “Industry 4.0-Based Real-Time Scheduling and Dispatching in Lean Manufacturing Systems,” Sustainability, vol. 12, no. 6, Art. no. 6, Jan. 2020, doi: 10.3390/su12062272.
[19] T. Wollert and F. Behrendt, Automation of the Manufacturing Process Mapping in the Context of VSM by Utilization of ERP Data. 2022. doi: 10.46354/i3m.2022.mas.001.
[20] E. Martinez, P. Ponce, I. Macias, and A. Molina, “Automation Pyramid as Constructor for a Complete Digital Twin, Case Study: A Didactic Manufacturing System,” Sensors, vol. 21, p. 4656, Jul. 2021, doi: 10.3390/s21144656.
[21] F. Behrendt, O. Lehner, A. Rettmann, N. Schmidtke, and T. Wollert, Process analysis of a teaching and learning factory environment to demonstrate Industry 4.0 solutions by using the Smart Logistics Zone approach. 2022, p. 10. doi: 10.1109/GOL53975.2022.9820054.
[22] P. Plapper and C. Andre, “Wertstrommethode – Value Stream Mapping,” Qual. Dienstleistungsunternehmen, vol. Köln: TÜV Media, pp. 1–27, Jan. 2011.
[23] K. Erlach, Value stream design: the way towards a lean factory. Heidelberg; New York: Springer, 2013.
[24] K. Erlach, Wertstromdesign: der Weg zur schlanken Fabrik, 3. Auflage. Berlin (Heidelberg): Springer Vieweg, 2020.
[25] J. Langstrand, “An introduction to value stream mapping and analysis,” 2016, (Online). Available:
[26] K. Umamaheswari, M. Susneha, and B. S. Kala, “IoT based Smart Cold Storage System for Efficient Stock Management,” in 2020 International Conference on Communication and Signal Processing (ICCSP), Jul. 2020, pp. 0051–0055. doi: 10.1109/ICCSP48568.2020.9182426.
[27] W. Nan, Q. He, Z. Zhang, T. Peng, and R. Tang, “Framework of automated value stream mapping for lean production under the Industry 4.0 paradigm,” J. Zhejiang Univ. Sci. A, vol. 22, pp. 382–395, May 2021, doi: 10.1631/jzus.A2000480.
[28] J. Gosling and M. M. Naim, “Engineer-to-order supply chain management: A literature review and research agenda,” Int. J. Prod. Econ., vol. 122, no. 2, pp. 741–754, Dec. 2009, doi: 10.1016/j.ijpe.2009.07.002.
[29] Z. Atan, T. Ahmadi, C. Stegehuis, T. de Kok, and I. Adan, “Assemble-to-order systems: A review,” Eur. J. Oper. Res., vol. 261, no. 3, pp. 866–879, Sep. 2017, doi: 10.1016/j.ejor.2017.02.029.
[30] V. Manupati, M. Mobin, L. Varela, and C. Gangal, “Application of value stream mapping for cycle time reduction in production of link and roller assembly,” Int. J. Serv. Oper. Manag., vol. 33, Mar. 2018, doi: 10.1504/IJSOM.2019.10022078.
[31] N. A. Phuong and T. Guidat, “Sustainable value stream mapping and technologies of Industry 4.0 in manufacturing process reconfiguration: A case study in an apparel company,” in 2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), Jul. 2018, pp. 85–90. doi: 10.1109/SOLI.2018.8476750.
[32] T. Tran, T. Ruppert, G. Eigner, and J. Abonyi, “Real-time locating system and digital twin in Lean 4.0,” May 2021, pp. 000369–000374. doi: 10.1109/SACI51354.2021.9465544.
[33] T. Wollert and F. Behrendt, Future Application of VSM in Digitalized Environments. 2022. doi: 10.25673/85958.