Titlebook: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro; IFIP WG 5.7 Internat Alexandre Dolgui

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S. Jakirlić,K. Hanjalić,I. Hadžićddress more complex supply chain management (SCM) problems is still unclear partly due to AI’s black-box problem both in practice and in literature. This paper attempts to highlight the significance of explainable AI (XAI) in SCM and shades light on SCM areas where AI’s black-box problem remains pro

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Robert D. Harper,Michael M. Gibsonowever, there are very few models that study the impact of vaccine distribution among different population groups. In this paper, we use a modified epidemiological model which incorporates relationships between different populations to incorporate the impact of vaccine distribution and present resul

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Carlos F. Borges,Ruggero Frezzaroduct categories that require effective traceability and, at the same time, anti-counterfeit labeling are wines and spirits. The ineffective traceability of such products poses extremely serious risks both to the national economy and consumers’ health. This paper aims to propose an approach for cre

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Douglas Cenzer,Geoffrey LaForte,Guohua Wutrust each other. Supply-chain digitalization, including the use of cloud services and domain-specific standards, enables significant improvements in efficiency throughout the entire process. We conduct a case study by collecting and analyzing data from a large business consortium represented by exp

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Frank H. Eeckman,James M. Bowerhe splitting of orders into jobs, the allocation of those jobs to builds and finally the sequencing of builds on 3D printers. A mixed-integer programming model is presented that integrates practical requirements, such as printing profiles and different materials, and minimises total weighted tardine

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Subrecursive hierarchies via direct limits,ur are growing exponentially. In order to extract business value from those data, they need to be organised under a reference conceptual model facilitating data analysis and decision making. Since no sound reference model for organising digital factory production data has been proposed in the litera

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Christoph Kreitz,Klaus Weihrauche methods, great amounts of individual training data are essential. The use of 3D data to generate synthetic training data is obvious, since this data is usually available for assembly processes. However, to guide through the entire assembly process not only the individual parts are to be detected,