12th International Conference on Through-life Engineering Services 2024
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Welcome to the TESConf2024
We are delighted to announce the 12th International Conference on Through-life Engineering Services 2024 (TESConf2024), to be held 6-7 June 2024 at Cranfield University, UK.Browse
Recent Submissions
Item Open Access Simulation of a Cyber-Physical Lifecycle System Based on a Blockchain Platform(Cranfield University, 2024-06-06) Izumidaa, Yuto; Hadaa, Chihiro; Fukushigeb, ShinichiProduct lifecycle management plays a crucial role in establishing resource circulation systems based on artifact stocks accumulated in society. However, given the involvement of diverse stakeholders, managing the complex circular systems of a product lifecycle requires advanced digital technologies. The concept of a cyber-physical lifecycle system (CPLS) is proposed in this paper. CPLS constructs the digital twin of a product lifecycle to be managed. The digital model in the cyberspace is used for analysis, simulation, and reconfiguration of the lifecycle based on real data acquired from the physical space of the CPLS. In this research, we introduce blockchain technology in the CPLS to aggregate information on target products and processes from each stakeholder involved in the lifecycle. To support decision-making in lifecycle management, a life cycle simulation (LCS) is conducted in the cyberspace of the CPLS based on the acquired data through blockchain. Subsequently, decisions are made based on the simulation results to increase the profit of each stakeholder and minimize the environmental loads of the entire lifecycle. In a case study focusing on the life cycle management of electric motors, we conducted a simulation-based analysis on the prototype of CPLS. A twin-experiment for the case showed the effectiveness of production management using the CPLS from economic and environmental perspectives.Item Open Access Causal AI-powered Digital Product Passports for enabling a circular and sustainable manufacturing ecosystem(Cranfield University, 2024-06-06) Ompusunggua, Agusmian P.; Tjahjowidodo, Tegoeh; Wicaksano, HDigital product passport (DPP) has been recently introduced by policymakers (e.g., the European Commission) to advance sustainable business practices towards a circular economy (CE). As a newly introduced concept, DPP is still relatively high-level and vague. Therefore, its definition, information flow architecture, what relevant information needs to be stored, and how to use such information in the context of a circular and sustainable manufacturing ecosystem, etc., are still open research questions. This paper addresses these research questions by proposing a novel conceptual framework for DPP, facilitating seamless information exchanges among CE stakeholders, and providing a transparent and trustworthy basis for decision-making. Causal AI utilisation is proposed to extract causal relationships among sustainability/circularity KPIs comprehensively, encompassing raw material supply chain, circularity-compliant product design, manufacturing optimisation on the shop floor, and after-sale product usage optimisation. Seamless information exchange will be achieved through semantic interoperability and a comprehensive model of the whole supply chain by employing an ontology model. The causal AI approach is proposed to identify causalities among KPIs and other factors to predict environmental impacts. This way, a causal model integrating domain expert knowledge and causality discovered from measured data will increase the transparency/explainability of prediction/decision made by machine learning algorithms.