| Issue |
EPJ Web Conf.
Volume 377, 2026
15th International Physics Seminar (IPS 2026)
|
|
|---|---|---|
| Article Number | 06012 | |
| Number of page(s) | 7 | |
| Section | Applied Technology in Physics | |
| DOI | https://doi.org/10.1051/epjconf/202637706012 | |
| Published online | 02 July 2026 | |
https://doi.org/10.1051/epjconf/202637706012
A Survey-Based Path Model of Digital Warehouse Control, Spatial Material Flow, and Sustainable Inventory Efficiency with an Applied-Physics Validation Framework
1 Port Management and Maritime Logistics, Faculty of Engineering, Universitas Negeri Jakarta, Jl. Rawamangun Muka Raya, Rawamangun, Kota Jakarta Timur, Daerah Khusus Ibu Kota Jakarta 13320.
2 School of Sustainable Supply Chain & Logistics, Malaysia University of Science and Technology (MUST), Block B, Encorp Strand Garden Office, No. 12, Jalan PJU 5/1, Kota Damansara, Petaling Jaya, Selangor, Malaysia, 47810
3 Civil Engineering, Faculty of Engineering, Universitas Sriwijaya, Jalan Raya Palembang - Prabumulih KM. 32, Indralaya Indah, Ogan Ilir, Sumatra Selatan, 30662
Published online: 2 July 2026
Abstract
This research interprets warehouse operations as a constrained physical-digital material-flow system and analyses how digital warehouse control (DWC) and spatial material flow (SMF) affect sustainable inventory efficiency (SIE). Material-flow delivery performance (MFDP) is retained as the operational mediating mechanism because it represents the reliability of flow execution between storage nodes and delivery destinations. A quantitative survey involved 45 respondents selected using Slovin's formula. Questionnaire, observation, interview, and secondary record data were analyzed using path analysis and the Sobel mediation test in SPSS. DWC significantly affects SIE (β = 0.385; p = 0.006), while SMF has no significant direct effect (β = 0.034; p = 0.816). MFDP has the strongest direct effect on SIE (β = 0.513; p = 0.000), and the model explains 74.8% of the variance. MFDP mediates the effects of DWC (p = 0.034) and SMF (p = 0.004) on SIE. The novelty lies in a statistically grounded physical-digital material-flow model that links survey-based operational constructs with measurable physical quantities for future sensor-based validation, showing that spatial flow configuration becomes operationally effective when it improves delivery execution. Sensor-based validation of distance, time, average travel speed, localization error, and energy is proposed for subsequent experiments.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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