Project Summary, Objectives and Expected Impacts
The main goal of COG-LO is to create the framework and tools that will add cognition and collaboration features to future logistics processes by:
1) Introducing the Cognitive Logistics Object (CLO) by adding cognitive behaviour to all involved Logistics actors and processes;
2) Developing the environment that will allow CLOs to exchange information through ad-hoc social secure networks.
The main objectives of COG-LO are:
(a) Definition of a Future Cognitive Logistics Objects reference implementation model that supports cognitive logistics behaviour;
(b) Design and develop the necessary analytics and cognitive tools that enable complex event detection, context awareness and multi-criteria decision support;
(c) To design and develop the collaboration platform based on hybrid ad-hoc social networks of CLOs;
(d) To design and develop the COG-LO tools (Cognitive Advisor, which realizes the cognitive behavior of CLO based on the reference implementation model, and Tweeting CLOs, allowing CLOs to exchange information in ad-hoc Social IoT networks);
(e) To evaluate the COG-LO results via intermodal, cross-country and urban logistics pilot operations;
(f) To introduce new business models for ad-hoc collaborations affecting all logistics stakeholders and create a community of Logistics, ICT and urban environment stakeholders.
The consortium is led by SingularLogic and consists of 14 partners from 8 countries.
- Load factor optimization
how to collaborate and merge/consolidate deliveries in such a way that load factor, run empty rates and in general, resources utilization will be optimized. COG-LO introduces the “Cargo Hitchhiking” concept: a dynamic form of consolidation and delivery merging by utilizing IoT and Analytics technology as the means for identification of possible collaborations in real-time and along the route.
Using hybrid ad-hoc social secure networks, Logistics Service Providers (LSPs) will be able to identify the “nearby” opportunities. Through COG-LO cognitive services, LSPs will be able to re-plan the deliveries accordingly in response to the needs of ad-hoc collaborations resulting in increased load factor & improved “milk runs”.
- Dynamic response to events and ad-hoc orders
Ad-hoc delivery requests and unexpected events pose the need for more flexible logistics processes, in order to maintain high SLAs and customer satisfaction. In such case, flexible and effective re-scheduling is of utmost importance. COG-LO introduces the notion of a Cognitive Logistics Object (CLO): any physical object participating in the supply chain (cargo, vehicle, warehouse, Parking slot, other transport modes, systems, etc.).
COG-LO will develop a cognitive framework and the CLO Advisor tool that will process large amounts of heterogeneous data and enable the CLO to understand, assess possible alternatives (and routes) and propose solutions to unexpected or ad-hoc events.
- The growth of e-commerce and Cross-country deliveries
Globalization is increasing the level of cross-border e-commerce. However, inefficient cross-border delivery is consistently in the top three biggest barriers for online merchants to sell across different EU Member States, due to lack of common information sharing models and processes. Τhe main challenge is how to exchange information over secure and private networks that will enable better and collaborative decision making
The project will enhance existing interoperability frameworks delivered in previous projects and adopt them in the context of the “cargo hitchhiking” concept, ad-hoc deliveries and dynamic response to changes. Security and privacy will be introduced, with reference to the associated laws and regulations (particularly the General Data Protection Regulation - GDPR), leveraging holistic access and usage control and advanced cryptography, whereas visibility, traceability and trust will be fostered in terms of blockchain-based transaction management and smart contracts.
New collaborative models integrating the Digital and Physical Internet
collaboration is the next trend considering supply chains, where the customers have greater involvement. This fact combined with the emergence of Logistics4.0 pose the need for new future collaborative models based on multi-partner information sharing.
The project will deliver a holistic collaborative and cognitive framework, the central of which is the CLO (either physical object or system or human). Under this framework, we will provide the tools that will allow CLOs to exchange information; take decisions and assess collaborative opportunities (“Cargo Hitchhiking”) by collecting and processing large amounts of data. Further to that, COG-LO will define new collaborative models such as dynamic pick-up points, etc.