One of the pillars of Logistics is data. Collecting data is not the basis of this business but according with the previous posts is very important in order to answer the questions:
- How much do we store?
- How many movements per hour do we need?
On the one hand, due to the significance of this topic I would mix the knowledge acquired in class with my own experience. In my everyday activities I’m work with a lot of data: number of datasets, classification, type of content, among others. At this moment is quite interesting mediate about these topics related with Logistics. For example: number of pallets or boxes, classification in conveyors, type of content (liquid, solid, others), among others.
According to the visit of Richard Stallman’s (http://bit.ly/1TCp62n) at the Polytechnic University of Valencia the past 05/16/2016, let me introduce this TEDx video: Free software, free society at TEDxGeneva 2014. This video shown the implications of free software and proprietary software and suggested interesting reflexions related with the property of this systems. See Video 1 (minutes 1:55-5:38).
Video 1. Free software. <https://youtu.be/Ag1AKIl_2GM> [Accessed: 05/17/2016].
On the other hand; open data, public sector information and big data represents one of the most valuable assets of public and private organizations in order to try give an answer to this open questions introduced before. This information supported by management tools which support information flows through the entire organization like Customer Relationship Management (CRM) or Enterprise Resource Planning (ERP) could dynamize the interexchange relation between customer and supplier. See Video 2 (08:00-10:00): Using Open Door Logistics and Geographic Data to Plan Routes. In addition, I recommend visualize the Video 3: Big Data and Transport (2 minutes).
Video 2. Big Data: datasets. <https://youtu.be/kGoAHczxOsA> [Accessed: 05/17/2016].
Video 3. Big Data: Transport. <https://youtu.be/VXjDhzWfCF4> [Accessed: 05/17/2016].
Datasets related with Logistics:
- GSHHG – A Global Self-consistent, Hierarchical, High-resolution Geography Database: http://1.usa.gov/1XAl3Yo
- The Humanitarian Information Unit (HIU) World Country Polygon Datasets: http://1.usa.gov/1TZsUJ8
Finally, let me introduce the following topic: Is the Big Data the future of Logistics?
The big data could increase the velocity of communication, dynamize the volume of this communication and ensure their viability. Nowadays Big Data represents and strategic asset strategic asset to be considered by sustainable organizations. See Video 4 (2:21).
Video 4. Big Data: Logistics. <https://youtu.be/OCCIX1cnzbQ> [Accessed: 05/17/2016].