A Complete Design Methodology for Inbound Logistics System by Independence Axiom

Abstract

Dimensions of logistics can be considered in four ways. These are inbound, in-plant, outbound, and reverse logistics. In this paper, a complete design for inbound logistics activities is performed using axiomatic Design principles. AD provides a scientific basis for design activities. Unlike traditional design methods, AD minimizes overprocessing waste, which occurs when the current design does not match the customer requirements. This study aims to create a complete design structure for inbound logistics systems using the independence axiom method, one of the axiomatic design approaches. Within the scope of the article, a complete inbound logistics system design structure has been proposed using the independence axiom approach regarding the organization of suppliers, the collection of materials from suppliers in the most optimal way, the supply of necessary resources, and the construction of an operation structure based on the flow and pull system. When creating hierarchical design structures, design validity is ensured by using current literature.

Keywords

• Lean inbound logistics
• axiomatic design
• independence axiom
• internal logistics

References

1. Antoniuk, I., Svitek, R., Krajcovic, M. & Furmannova, B., Methodology of design and optimization of internal logistics in the concept of Industry 4.0, Transportation Research Procedia 55 (2021) 503–509. google scholar
2. Ateş, O. (2023) Determination of transport method for in-bound logistics by information axiom and fuzzy information axiom approach, International Journal of Shipping and Transport Logistics, 17, 214-231. google scholar
3. Ateş, O. & Durmuşoğlu, M. B. (2023) Methodology for the selection of fuzzy-based transportation method in industrial cells: case study. Journal of the Faculty of Engineering and Architecture of Gazi University 38(3), 1931-1944. google scholar
4. Aydin, N., Designing reverse logistics network of end-of-life-buildings as preparedness to disasters under uncertainty, Journal of Cleaner Production, 256, 2020. google scholar
5. Bajpai, P., Rajendran, C., Agarwal, R., Kumar Paul, S. & Balakrishnan, A. S., Integrated inbound and inplant logistics scheduling of containers via heterogeneous material-handling resources, Int. J. Phys. Sci., 2002. J. Production Economics 288 (2025) 109651. google scholar
6. Boccia, M., Mancuso, A., Masone, A. Muriona, T. & Sterle, C. Exact and heuristic solution approaches for the multi-objective AGV scheduling problem with battery constraints. Transportation Research Procedia 78 (2024) 369–376. google scholar
7. Buechler, T., Kolter, M., Hallweger, L. & Zaeh, M. F. Predictive cost comparison of manufacturing technologies through analyzing generic features in part screening, CIRP Journal of Manufacturing Science and Technology 38 (2022) 299–319. google scholar
8. Castellucci, T., Tappia, E., Moretti, E. & Melacini, M., Transition to synchronization-driven smart inbound logistics: an action research-oriented study, IFAC PapersOnLine 58-19 (2024) 1060–1065. google scholar

9. Durmuşoğlu, M. B. & Kulak, O., Planning and implementation of teamwork-based office cells according to axiomatic design principles, UCLEA Chamber of Mechanical Engineers. Journal of Industrial Engineering, 17(1), 2-28, 2004. google scholar
10. Eirinakis, P., Kasapidis, G., Mourtos, I., Repoussis, P., & Zampou, E., Situation-aware manufacturing systems for capturing and handling disruptions, Journal of Manufacturing Systems 58 (2021) 365–383. google scholar EI-Haik, B. S. & Yang, K., The components of complexity in engineering design, IEE Transactions, 31, 925-934, 1999. google scholar
11. Fabri, M. & Ramalhinho, H., Assessing the In-house Logistics flows in the automotive industry, Computers & Industrial Engineering 187 (2024) 109822. google scholar
12. Mohamed Faizal, U., Jayachitra, R., Vijayakumar, P. & Rajasekar, M., Optimization of inbound vehicle routes in the collection of biomedical wastes, Materials Today: Proceedings 45 (2021) 692–699. google scholar
13. Galka, S, Integration and Usage of Simulation-based Digital Twins in internal Logistics Systems, IFAC PapersOnLine 59-10 (2025) 897–902. google scholar
14. Hirani, H. & Suh, N. P., Journal bearing design using multiobjective genetic algorithm and axiomatic design approaches, Tribology International, 38, 481–491, 2005. google scholar
15. Horbal R., Kagan R. & Koch T (2008) Implementing Lean Manufacturing In High-Mix Production Environment, 257, International Federation for Information Processing, 257–267. google scholar
16. Houshmand, M. & Jamshidnezhad, B., An extended model of design process of lean production systems with process variables, Robotics and ComputerIntegrated Manufacturing, 22:1–1, 2005. google scholar
17. Ijassi, W., Evrard, D. & Zwolinski, P., Characterizing value chain patterns of urban factories: A case study in the Grenoble urban area, Journal of Cleaner Production 520 (2025) 146061. google scholar
18. Kılıç, H. S. (2011) The design of plant logistics in a lean manufacturing environment, Ph.D. D. Thesis, Istanbul Technical University, Istanbul. google scholar
19. Kulak, O., Durmuşoğlu, M. B., & Kahraman, C., Fuzzy multi-attribute equipment based on information axiom, Journal of Material Processing Technology, 169, 337- 345, 2005. google scholar
20. Kumar, V. & Kumar Adil, G. (2025) Sustainable warehouse management: a literature review and future research agenda, Management Research Review, 48(3), 358-382. google scholar
21. Kurniawan, S. H., Zhang, M. & Tseng, M. M., Connecting customers in Axiomatic design, The 3rd International Conference On Axiomatic Design, 21-24, 2004 google scholar
22. Mahmoud, A., Hichame Benbitour, M., Sahin, E., Jemai, Z. and Baratte, M. Integrated production planning of orders with priorities and due dates in the automotive industry. Computers & Industrial Engineering 209 (2025) 111347. google scholar
23. Mourato, J., Ferreira, L. P., Sa, J. C., Silva, F. J. G., Dieguez, T. & Tjahjono, B. (2021) Improving internal logistics of a bus manufacturing using the lean techniques, International Journal of Productivity and Performance Management, 70(7), 1930-1951. google scholar
24. Muller, L. N. P. S., Delai, I. & Alcantara, R. L. C., Typology in circular economy: A proposal based on resource value retention options and value chain perspective, Journal of Cleaner Production, 473 (2024), 143484. google scholar Ransolin, N., Abreu Saurin, T., Clay-Williams, R., Torres Formoso, C. & Rapport, F., A knowledge framework for the design of built environment supportive of resilient internal logistics in hospitals, Applied Ergonomics 116 (2024) 104209. google scholar
25. Ransolin, N., Abreu Saurin, T., Clay-Williams, R., Torres Formoso, C., Rapport, F. & Cartmill, J. (2025) Beyond the operating room: built environment design knowledge supportive of resilient surgical services, Engineering, Construction and Architectural Management, 32(6), 3804-3831. google scholar
26. Rodroguez-Garcia, M., Gonzales-Romero, I. & Ortiz-Bas, A., E-fulfillment cost management in omnichannel retailing: An exploratory study, Computers in Industry 159-160 (2024) 104094. google scholar
27. Sharma, N. & Cupek, R., Real-time Control and Optimization of Internal Logistics Systems with Collaborative Robots, Procedia Computer Science 225 (2023) 248–258. google scholar
28. Sheikholeslami, M. & Zarrinpoor, N., Designing an integrated humanitarian logistics network for the preparedness and response phases under uncertainty, Socio-Economic Planning Sciences, 86, 2023. google scholar
29. Steclik, T., Cupek, R. & Drewniak, M., Automatic grouping of production data in Industry 4.0: The use case of internal logistics systems based on automated guided vehicles, Journal of Computational Science 62 (2022) 101693. google scholar
30. Suh, N.P. (1990), The principles of design, Oxford University Press, New York. google scholar
31. Suh, N. P., Design and operation of large systems, Journal of Manufacturing Systems, 14(3), 203-213, 1995. google scholar
32. Suh, N. P., Design of systems, Annals of CIRP, 46(1), 75-80, 1997. google scholar
33. Suh, N.P., Axiomatic Desing: Advances and Applications, Oxford University Press, 2001. google scholar
34. Tambunan, T. (2022) A conceptual framework of quality cost chain in strategic cost management. TQM Journal, 36(3), 762-784. google scholar
35. Tate D. & Nordlund M., A design process roadmap as a general tool for structuring and supporting design activities, Proceedings of the Second World Conference on Integrated Design and Process Technology, 3, 97- 104, 1996. google scholar
36. Wang, Y., Zheng, R., Liang, C. & Shi, J. Inventory routing problem of automotive parts considering time-varying demands: A machine learning enhanced branch-and-price approach, Transportation Research Part E, 202 (2025) 104297. google scholar
37. Wuennenberg, M., Muehlbauer, K., Fottner, J. & Meissner, S., Toward predictive analytics in internal logistics – An approach for the data-driven determination of key performance indicators, CIRP Journal of Manufacturing Science and Technology, 44 (2023) 116–125. google scholar
38. Wuennenberg, M., Wegerich, B. & Fottner, J. Toward Data Management and Data Science for Internal Logistics Systems using Process Mining and Discrete-Event Simulation, 56th CIRP Conference on Manufacturing Systems, CIRP CMS ‘23, South Africa. google scholar
39. Yi, J. W. & Park, G. J., Development of a design system for EPS cushioning package af a monitor using axiomatic design, Advances in Engineering Software, 36, 285, 2005. google scholar