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• W3089163991 abstract "Autonomous, matrix-structured assembly systems (AMSAS) are discussed as a promising approach for dealing with current challenges as high product variance. For production planning in such systems, the so-called volume cycle concept is proposed, in which a fixed order volume per time unit is consolidated for assembly. Within this concept, a sequence must be defined in which orders of a volume cycle are released. In this work, we present the effects of different sequences for the order release based on the similarity of products’ precedence graphs and outline the performance benefit of production flow using discrete event simulation studies. It is shown that lower similarities of sequences enhance throughput times and capacity utilization. An approach for quantification of the similarity of an entire order sequence is proposed. The improvements obtained reveal the potential resulting from cluster-based production planning for AMSAS." @default.
• W3089163991 created "2020-10-01" @default.
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• W3089163991 date "2020-01-01" @default.
• W3089163991 modified "2023-09-23" @default.
• W3089163991 title "Production planning in autonomous and matrix-structured assembly systems: Effects of similarity of precedence graphs on order release sequencing" @default.
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• W3089163991 doi "https://doi.org/10.1016/j.procir.2020.06.002" @default.
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