Impact of IoT on Supply Chain Performance
Purpose: To increase the understanding of the IoT by demonstrating its impacts and benefits on supply chain performance. Design/methodology/approach: System dynamic simulation modeling to estimate IoT impacts on supply chain performance, based on a previously proposed framework and its propositions....
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | México |
| Institución: | UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO |
| Repositorio: | Journal of Applied Research and Technology |
| Idioma: | inglés |
| OAI Identifier: | oai:ojs2.localhost:article/1957 |
| Acceso en línea: | https://jart.icat.unam.mx/index.php/jart/article/view/1957 |
| Access Level: | acceso abierto |
| Palabra clave: | Supply Chain Performance Internet of Things IoT Simulation Case Studies |
| Sumario: | Purpose: To increase the understanding of the IoT by demonstrating its impacts and benefits on supply chain performance. Design/methodology/approach: System dynamic simulation modeling to estimate IoT impacts on supply chain performance, based on a previously proposed framework and its propositions. Findings: In general, simulation results show a positive impact on the supply chain activities where the propositions targeted. Specifically: P2: better decision-making. – The study case shows better asset utilization, and reduced shipping time. However, transportation costs increase because of the lack of a decision-making system. P3: enhanced supply chain connectivity/collaboration/integration. – The study case shows that benefits of supply chain integration through demand planning can be obtained. P5: reduced lead-time. – The study Case shows a reduced shipping time when location technology and when all technologies are combined. P6: better asset utilization. – The study Case shows a higher utilization factor, hinting a better asset utilization even without a decision-making system. Research limitations/implications: The models here presented are based on merged data from different sources: Primary and secondary sources, and estimates based on assumptions. The mere nature of the base-data limits the precision of results. Practical implications: The implementation of data collection or data transmission technologies alone is not sufficient to obtain full benefits. A decision-making processing system, that integrates the complete array of appropriated technologies, should also be implemented. This the underlying concept and the contribution of the IoT. |
|---|