IoT Based Tracking System For Supply Chain Management

Most of the traditional approaches for gathering data in the information sharing platforms of manufacturing supply chains are outdated and can negatively impact the speed of real-time sharing of information. In this technology-driven world, the supply chain management operations based on the Internet of Things (IoT) are bringing day after day a great business potential. Therefore, connecting physical objects together in support of intelligent decision making, consists an enabler of real-time quality management and control in the supply chain. The connected objects should meet market demands correctly, rapidly, and profitably. The supply chains should maintain and sustain technology-based and quality-driven capabilities in order to decrease network wide costs, reduce lead duration and transit duration and improve user experience. This work tackles the implications of the roll-out of the internet of things in supply chain management tasks. We focus on the quality of experience and the quality assurance arising from data consumption as a result of connecting objects to the Internet and how this can be translated into traces and evidences for some selected properties. The proposed model will be illustrated with a test scenario to verify the selected requirements.