D4.1: IoT-enabled Quality Controlled Logistics demonstration results

Food supply is a big challenge that our global society faces, and supply chain innovations are expectedto contribute to a more secure, efficient and sustainable food supply. One of the promising innovationsis to apply Internet of Things (IoT) to create the so-called data-driven food supply chain withquality-controlled logistics. To investigate the feasibility of this innovation, Wageningen Food &Biobased Research (WFBR) and TNO jointly developed a project within the NWO Dinalog financingframework to study IoT applications in the Fruits and Vegetable supply chains. The project includes6 work packages:- WP1 IoT enabled Quality Controlled Logistics (QCL), including a conceptual framework onIoT enabled QCL, the state-of-the-art supporting technologies, and a SWOT analysis of thisQCL-concept.- WP2 Business analysis, including the use cases for demonstration, the business case analysisand the business model analysis.- WP3 Design and Solution Development, including the development work neededto demonstrate a proof of concept in a real-life setting.- WP4 Demonstrations, covering a demonstration of the use cases in a maritime anda continental road trade lane.- WP5 Evaluation and valorization, ensuring that the project knowledge is being disseminatedamong the target audience and support a broader valorization of the project insights.- WP6 Project Management, assuring an overall efficient execution of the project and organizingand facilitating the cooperation between the consortium parties.As part of WP 4, the aim of the research in this report is to proof the concept of quality controlledlogistics in an integrated way. In order to demonstrate the proof of concept the overall comprehensiveconcept is split into 5 use cases as a basis for this demonstration. These use cases are:- Use Case 1a: High quality ethylene monitoring during perishable shipment transport;- Use Case 1b: Low-cost IoT solution for real-time perishable shipment status sensoring;- Use Case 2: Optimal sensor positioning in perishable shipment;- Use Case 3: Sensor-enabled quality decay predictions of a shipment;- Use Case 4: Decision support for logistics interventions driven by quality decay predictions.Thereafter these use cases are grouped into 3 practically feasible demonstrations, namely:1. Real-life detection of ethylene (= UC 1a)2. Optimal sensor positioning (= UC 2)3. Real-time detection of the conditions that enable predictions of quality loss in order to achievedecision support for logistics interventions (= UC 1b, 3 & 4)The three demonstrations can be divided into two categories, i.e., demonstrations 1 and 3 are carriedout in practice whereby products are tracked and monitored during road transport. Demonstration 2concerns a so-called 'theoretical demonstration'. Here it is investigated by means of models andmathematical comparisons whether it is possible to determine the optimal sensor positioningin perishable shipments.In this report, the demonstrations are described in order to subsequently reflect the learnings and conclusions

Bibliographic Details

Main Authors:	Guo, X., van Leeuwen, S., Lukasse, L., Snels, J., Tromp, S., Bhoraskar, A.
Format:	External research report biblioteca
Language:	English
Published:	Wageningen Food & Biobased Research
Subjects:	Life Science,
Online Access:	https://research.wur.nl/en/publications/d41-iot-enabled-quality-controlled-logistics-demonstration-result
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