The use of sensors in logistics is becoming more common. Nowadays, the industry is more likely to adopt sensory technologies. Consequently, more sensory data is available. However, academic literature and practical experience show outdated methods are used to analyze this data. Furthermore, current optimization models are not designed to exploit sensory data insights. Without these methods, the sensory data is practically “useless”.
State-of-the-art sensors, such as the ones developed by project partner Itude Mobile, capture multi-dimensional data in containers (e.g. temperature, light, pressure and movement differences). This information is traditionally used to monitor product quality in containerized freight transport. However, the industry lacks appropriate algorithms to accurately identify what changes in multi-dimensional measurements are exceptional and require intervention or rescheduling.
The SensLog project team tackles the above-mentioned challenges. We develop models and methods to use the newly captured information on container equipment and cargo. In addition, we are looking for real-life cases (pilots) within different industries. These will be used to discover opportunities to improve the implementation of innovative sensors in logistic operations. Furthermore: these will encourage logistic companies to explore and implement data driven strategies in order to improve their market position. Within these pilots we hope to increase the efficiency of multi-modal containerized transport. Resulting in a stronger position of the Netherlands as a leader in creating, developing and demonstrating innovative concepts in logistics.
State-of-the-art sensors, such as the ones developed by project partner Itude Mobile, capture multi-dimensional data in containers (e.g. temperature, light, pressure and movement differences). This information is traditionally used to monitor product quality in containerized freight transport. However, the industry lacks appropriate algorithms to accurately identify what changes in multi-dimensional measurements are exceptional and require intervention or rescheduling.
The SensLog project team tackles the above-mentioned challenges. We develop models and methods to use the newly captured information on container equipment and cargo. In addition, we are looking for real-life cases (pilots) within different industries. These will be used to discover opportunities to improve the implementation of innovative sensors in logistic operations. Furthermore: these will encourage logistic companies to explore and implement data driven strategies in order to improve their market position. Within these pilots we hope to increase the efficiency of multi-modal containerized transport. Resulting in a stronger position of the Netherlands as a leader in creating, developing and demonstrating innovative concepts in logistics.
