Development of Product Supply Chain Strategy Using BMC and Axiomatic Design

Author(s): Kittichotsatsawat Y.1, Rauch E.2*, Woschank M.3, Tippayawong K. Y.1

1 Chiang Mai University, 239, Huay Kaew Rd., Suthep, 50200 Chiang Mai, Thailand;
2 Free University of Bolzano, 5, Piazza Università St., 39100 Bolzano, Italy;
3 Montanuniversitaet Leoben, 18, Franz Josef St., 8700 Leoben, Austria

*Corresponding Author’s Address: [email protected]

Issue: Volume 10, Issue 2 (2023)

Submitted: June 14, 2023
Received in revised form: October 7, 2023
Accepted for publication: October 18, 2023
Available online: November 2, 2023

Kittichotsatsawat Y., Rauch E., Woschank M., Tippayawong K. Y. (2023). Development of product supply chain strategy using BMC and axiomatic design. Journal of Engineering Sciences (Ukraine), Vol. 10(2), pp. A43–A58. DOI: 10.21272/jes.2023.10(2).a6

DOI: 10.21272/jes.2023.10(2).a6

Research Area:  MANUFACTURING ENGINEERING: Machines and Tools

Abstract. Product is an essential industrial manufacturing that creates high economic value worldwide. Global entrepreneurs’ lack of marketing management led to a severe problem in the manufacturing preparation and control of the supply chain. Therefore, this research aims to develop the product supply chain using axiomatic design and a model canvas to generate a product manufacturing model. A particular case study proved the results. The result showed a suitable model for the product supply chain that can increase entrepreneurs’ profitability through the matrix design. As a result, a suitable model was created for Thailand’s industry. For this purpose, axiomatic design was applied to create a model that could increase supply chain efficiency. In addition, the implications provide capacity and readiness for manufacturers. The output of the appropriate model allows for developing and improving the supply chain strategy according to the Industry 4.0 strategy. However, this model should be tested in manufacturing enterprises to increase reliability. According to the applied methods and described management tools, entrepreneurs can operate their enterprises sustainably and gain market profitability in the future.

Keywords: Industry 4.0, sustainable manufacturing, small enterprise, medium-sized enterprise, product supply chain management.


  1. Hegab, H., Khanna, N., Monib, N., Salem, A. (2023). Design for sustainable additive manufacturing: A review. Sustainable Materials and Technologies, Vol. 35, e00576.
  2. Valaskova, K., Nagy, M., Zabojnik, S., Lăzăroiu, G. (2022). Industry 4.0 wireless networks and cyber-physical smart manufacturing systems as accelerators of value-added growth in Slovak exports. Mathematics, Vol. 10(14), 2452.
  3. Awan, U., Sroufe, R., Bozan, K. (2022). Designing value chains for industry 4.0 and a circular economy: A review of the literature. Sustainability, Vol. 14(12), 7084.
  4. Suh, N. P., Suh, P. N. (1990). The Principles of Design. Oxford Series of Advanced Manufacturing, Oxford, UK.
  5. Matt, D. T., Rauch, E. (2011). Continuous improvement of manufacturing systems with the concept of functional periodicity. Key Engineering Materials, Vol. 473, pp. 783–790.
  6. Rauch, E., Dallasega, P., Matt, D. T. (2015). Axiomatic design-based guidelines for the design of a lean product development process. Procedia CIRP, Vol. 34, pp. 112–118.
  7. Girgenti, A., Pacifici, B., Ciappi, A., Giorgetti, A. (2016). An axiomatic design approach for customer satisfaction through a lean start-up framework. Procedia CIRP, Vol. 53, pp. 151–157.
  8. Rauch, E., Spena, P. R., Matt, D. T. (2019). Axiomatic design guidelines for the design of flexible and agile manufacturing and assembly systems for SMEs. International Journal on Interactive Design and Manufacturing, Vol. 13, pp. 1–22.
  9. Pecoraro, F., Pourabbas, E., Rolli, F., Parretti, C. (2022). Digitally sustainable information systems in axiomatic design. Sustainability, Vol. 14(5), 2598.
  10. Das, P., Perera, S., Senaratne, S., Osei-Kyei, R. J. E. (2020). Developing a construction business model transformation canvas. Engineering, Construction and Architectural Management, Vol. 8, pp. 1423–1439.
  11. Toro-Jarrín, M. A., Ponce-Jaramillo, I. E., Güemes-Castorena, D. J. T. F., Change, S. (2016). Methodology for the of building process integration of business model canvas and technological roadmap. Technological Forecasting and Social Change, Vol. 110, pp. 213–225.
  12. Brunner, M., Wolfartsberger, J. (2020). Virtual reality enriched business model canvas building blocks for enhancing customer retention. Procedia Manufacturing, Vol. 42, pp. 154–157.
  13. Harutunian, V., Nordlund, M., Tate, D., Suh, N. P. (1996). Decision making and software tools for product development based on axiomatic design theory. CIRP Annals, Vol. 45, pp. 135–139.
  14. Brown, C. A. (2020). Axiomatic design for products, processes, and systems. In: Matt, D., Modrák, V., Zsifkovits, H. (eds) Industry 4.0 for SMEs, pp. 383–401. Palgrave Macmillan, Cham.
  15. Cochran, D. S., Arinez, J. F., Duda, J. W., Linck, J. J. (2001). A decomposition approach for manufacturing system design. Journal of Manufacturing Systems, Vol. 20, pp. 371–389.
  16. Houshmand, M., Jamshidnezhad, B. (2002). Conceptual design of lean production systems through an axiomatic approach. In: Proceedings of Second International Conference on Axiomatic Design. Available online:
  17. Arcidiacono, G., Matt, D. T., Rauch, E. (2017). Axiomatic design of a framework for the comprehensive optimization of patient flows in hospitals. Journal of Healthcare Engineering, Vol. 2017, 2309265.
  18. Vinodh, S., Aravindraj, S. J. J (2012). Axiomatic modeling of lean manufacturing system. Journal of Engineering, Design and Technology, Vol. 10, pp. 199–216.
  19. Baxter, J. E., McKay, A., Agouridas, V., De Pennington, A. (2002). Supply chain design: an application of axiomatic design. In: Proceeding of the Second International Conference on Axiomatic Design (ICAD 2002), 1-7.
  20. Holzner, P., Rauch, E., Spena, P. R., Matt, D. T. (2015). Systematic design of SME manufacturing and assembly systems based on axiomatic design. Procedia CIRP, Vol. 34, pp. 81–86.
  21. Suh, N. P. (1998). Axiomatic design theory for systems. Research in Engineering Design, Vol. 10, pp. 189–209.
  22. Rauch, E., Matt, D. T., Dallasega, P. (2016). Application of axiomatic design in manufacturing system design: a literature review. Procedia CIRP, Vol. 53, pp. 1–7.
  23. Matt, D., Rauch, E. (2013). Design of a network of scalable modular manufacturing systems to support geographically distributed production of mass customized goods. Procedia CIRP, Vol. 12, pp. 438-443.
  24. Suh, N. P. (2001). Axiomatic Design: Advances and Applications. Oxford University Press, Oxford, UK.
  25. Kulak, O., Cebi, S., Kahraman, C. J. E. (2010). Applications of axiomatic design principles: A literature reviews. Expert Systems with Applications, Vol. 37, pp. 6705–6717.
  26. Keane, S. F., Cormican, K. T., Sheahan, J. N. (2018). Comparing how entrepreneurs and managers represent the elements of the business model canvas. Journal of Business Venturing Insights, Vol. 9, pp. 65–74.
  27. Fritscher, B., Pigneur, Y. (2015). Extending the business model canvas: A dynamic perspective. In: Proceedings of the Fifth International Symposium on Business Modeling and Software Design, pp. 86–95.
  28. Fritscher, B., Pigneur, Y. (2014). Visualizing business model evolution with the business model canvas: Concept and tool. In: IEEE 16th Conference on Business Informatics, pp. 151–158.
  29. García-Muiña, F. E., Medina-Salgado, M. S., Ferrari, A. M., Cucchi, M. J. S. (2020). Sustainability transition in Industry 4.0 and smart manufacturing with the triple-layered business model canvas. Sustainability, Vol. 12(6), 2364.
  30. Sivertsson, O., Tell, J. (2015). Barriers to business model innovation in Swedish agriculture. Sustainability, Vol. 7(2), pp. 1957–1969.
  31. Partalidou, M., Paltaki, A., Lazaridou, D., Vieri, M., Lombardo, S., Michailidis, A. J. (2018). Business model canvas analysis on Greek farms implementing precision agriculture. Agricultural Economics Review, Vol. 19(2), pp. 28–45.

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