Downloads provided by UsageCounts
{"references": ["The evolution of digital twins in supply chain. [Electronic resource]. \u2013 https://supplychaindigital.com/technology-4/evolution-digital-twins-supply-chain", "Lapyga IV, Derevyanko E. (2020) Perspectives Using Cryptography Tools Python for Blockchain Technologies in Finance Transaction. In: V\u0406\u0406\u0406th Int. Sci. and Pract. Conf. \u00abDevelopment of Accounting, Audit, and Taxation in the Conditions of Innovative Transformation of Socio-Economic Systems\u00bb, (Kropyvnytskyi, Ukraine, November 25, 2020), pp 192-195."]}
Some logistics firms use supply chain digital twins to predict abnormal situations and work out an action plan. Also, supply chain digital twins can be used for Understanding supply chain dynamics and behavior, Bottleneck discovery, Testing supply chain design changes and development, Monitoring risk and testing contingencies, Transportation planning, Inventory optimization, Cash-to-serve and cost-to-serve analysis, Forecasting and testing operations over the coming days and weeks.
Digital Twins; Logistic
Digital Twins; Logistic
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 8 | |
| downloads | 14 |

Views provided by UsageCounts
Downloads provided by UsageCounts