Methodology for Designing Decision Support Systems for Visualising and Mitigating Supply Chain Cyber Risk from IoT Technologies

This paper proposes a methodology for designing decision support systems for visualising and mitigating the Internet of Things cyber risks. Digital technologies present new cyber risk in the supply chain which are often not visible to companies participating in the supply chains. This study investigates how the Internet of Things cyber risks can be visualised and mitigated in the process of designing business and supply chain strategies. The emerging DSS methodology present new findings on how digital technologies affect business and supply chain systems. Through epistemological analysis, the article derives with a decision support system for visualising supply chain cyber risk from Internet of Things digital technologies. Such methods do not exist at present and this represents the first attempt to devise a decision support system that would enable practitioners to develop a step by step process for visualising, assessing and mitigating the emerging cyber risk from IoT technologies on shared infrastructure in legacy supply chain systems

A conceptual information sharing framework to improve supply chain security collaboration

Modern Supply Chains are critical in terms of efficiency, economic activities and commercial impact, particularly in case of security incidents. Inland terminals, commercial ports and dry ports constitute key gateways for the transportation flows in these modern supply chains and are require enhanced security procedures. This paper develops a framework that facilitates the sharing of information among various supply chain stakeholders, which is expected to improve the security level from a value chain perspective. In this context, we propose the upgrade of the current security strategies utilizing existing processes, equipment in order to minimise time and cost currently needed but more importantly improving the level of security in the supply chain. A conceptual rule and role-based data fusion framework is developed enabling the seamless and timely exchange of messages. The proposed Data Fusion Framework has a simple architecture that supports quick integration to either network-based, distributed systems or conventional stand-alone systems and adheres to common data fusion principles. The proposed framework considers different components (e.g. sensors, algorithms and fusing procedures) in an equipment agnostic approach so as to enable easy access and easy usage of security information.N/

Reinforce customer satisfaction through enterprise resource planning and supply chain management integration

The purpose of this project is to try and establish a blueprint for integrating Enterprise Resource Planning (ERP) and Supply Chain Management (SCM). ERP and SCM have become popular in many industries because they help companies improve their Information Systems (IS) which helps support their operational goals. New technology is being used in resource planning and e-commerce and a stable supply chain helps corporations integrate many basic applications. This helps facilitate smooth supplier-customer interactions while minimizing transaction costs. This project is trying to provide a way in which to implement ERP systems properly into SCM. It should result in improved business performance and client satisfaction