Access the latest publications of the ACCURATE project partners here.
Process Simulations Models
Authors: Schuseil, F., Hertwig, M., Lentes, J., Zimmermann, N., Hölzle, K.
Journal: Conference proceedings of the AHFE (2024) International Conference: Human Factors in Design, Engineering, and Computing (Vol. 159). AHFE International.
Year: 2024
DOI: http://doi.org/10.54941/ahfe1005751
Fragile and unreliable supply chains, due to environmental disasters or other disruptions are a challenge for modern production companies. The concept of Manufacturing-as-a-Service (MaaS) marks a shift from traditional manufacturing, focusing on shared, networked infrastructures. In MaaS environments, effective management of demand for manufacturing capabilities and supply of production capacity is crucial, while final decisions remain with human operators. The EU project ACCURATE (Achieving Resilience through Manufacturing-as-a-Service, Digital Twins and Ecosystems) aims to create a distributed MaaS ecosystem that offers a collaborative, human-centered Decision Support System (DSS) for robust planning and resilient operations. A primary challenge is aligning services from suppliers with the demand for physical goods, which includes transportation, warehousing, and information, in addition to manufacturing. Semantic approaches and ontologies can describe these services comparably. This paper introduces a semantic matchmaking concept in MaaS networks to empower human decision makers in supply chain management. To support this, related concepts of service-oriented manufacturing concepts are analyzed and a working definition of MaaS is derived. Based on this, an approach is presented that matches supply and demand for manufacturing services while considering product process requirements. Importantly, this is not a standalone decision-making tool but a foundation for informed choices, enabling users, like order fulfilment managers, to receive tailored offers from suitable providers based on recommendations from the semantic matchmaking service.
Open Access: Yes
Process Simulations Models
Authors: Dmitry, Ivanov
Journal: International Transactions in Operational Research
Year: 2025
DOI: https://doi.org/10.1111/itor.13612
Supply chain resilience has been extensively investigated at the network and firm levels. More granular studies at the level of product supply chain resilience are scarce. In this paper, we examine relationships between product supply chain resilience, firm resilience, and network resilience. We simulate supply chains with two products in different settings of structural and process diversity, connectivity, and flexibility. The methodology is based on discrete-event simulation. The focus of the analysis is on managerial insights. Our main insights show that the resilience of product supply chains depends on the firm and network resilience, and higher firm and network resilience do not always automatically translate into higher resilience at the product level. Managerial implications are discussed and generalized. The outcomes of our study can be used by supply chain and operations managers to improve the resilience of supply chain with consideration of both product and network levels. We contribute to the literature by offering novel insights on the interrelations between firm and network resilience practices and product supply chain resilience.
Open Access: Yes
Process Simulations Models
Authors: IVANOV Dmitry
Journal: Publications Office of the European Union
Year: 2025
DOI: https://data.europa.eu/doi/10.2760/9174136
This report presents the results of a literature review on stress tests developed and applied in non-food supply chains. The primary focus of the project is on quantitative and qualitative methodologies applied in the literature for stress testing non-food supply chains, their advantages and disadvantages, data used, and identification of stress test typologies applied in different methodologies. We also identify methodological gaps in the literature, especially those related to real-world applications of stress testing. The focus of the literature review is on identifying generalisations, categorizations, and patterns rather than on the specific description of individual papers. We analyze the progress of stress testing methodologies and their applications using 61 papers identified through a SCOPUS search performed in May 2024. We identify objectives of stress tests, disruptions/shocks used in stress tests, different methodological approaches used for stress tests, design and typologies of disruption scenarios used for stress tests, data used for stress tests, and indicators used to analyse impacts/responses to different stress factors. Likewise, we analyse managerial recommendations resulting from stress tests and evaluate the advantages and disadvantages of different methodologies developed and applied for stress tests.
Open Access: Yes
Process Simulations Models
Authors: Valeria, Borodin; Vincent, Fischer; Agnès, Roussy; Claude, Yugma
Journal: 2024 35th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)
Year: 2024
DOI: 10.1109/ASMC61125.2024.10545483
This paper focuses on a scheduling problem encountered in shop floors of Research and Development (R&D) semiconductor manufacturing facilities. R&D facilities are characterized by a large product mix in very small quantities with unique/non-standard/varying processing routes, little process control of engineering experiments, dynamic prioritization of research activities, and pre-process checks. In contrast to typical scheduling problems found in semiconductor manufacturing systems, we provide and discuss the implications of factors of complexity (unknown parameters, evolving settings, R&D fab characteristics, etc.) on operations’ scheduling specific to R&D environments. An existing dispatching rule-based heuristic, running in R&D settings, is challenged, investigated, and improved. Numerical experiments are conducted on a real-life instance and analyzed in terms of: (i) the sequence performance and quality, and (ii) the approximation accuracy of uncertain processing times and its impact on the decision performance.
Open Access: Upon registration
Institution: IMT Atlantique
Process Simulations Models
Authors: Aher, Gaurav; Ramanujan, Devarajan
Journal: DS 130: Proceedings of NordDesign 2024, Reykjavik, Iceland, 12th – 14th August 2024
Year: 2024
DOI: 10.35199/NORDDESIGN2024.71
To identify the use of simulation models in design for circular economy (DfCE) this paper reviews prior work in this domain and classifies them according to the primary application objectives. Our review suggests there is limited prior work utilizing unit-level manufacturing process simulation models for DfCE. To this end, our paper illustrates a methodology for supporting DfCE using unit manufacturing process simulations through modeling the effects of design and manufacturing parameters on product CE performance.
