2022
DOI: 10.1080/00207543.2022.2036850
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Identifying profitable reference architectures in an engineer-to-order context

Abstract: Companies operating with an engineer-to-order (ETO) strategy are often challenged with generating the desired profit as a consequence of product volumes and high levels of product customisation. Profit margins are seen to vary greatly from project to project, which may partly be explained by a lack of references to guide design decisions. Specifically, new product offerings are often based on reuse of design knowledge, which is often not efficiently utilised, as the knowledge transfer and reuse across projects… Show more

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Cited by 4 publications
(1 citation statement)
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“…Engineer-to-Order (ETO) companies design and manufacture highly customized products such as machines, plants, buildings, and ships according to customer requirements. These goods are often characterized by low volumes, a low rate of order recurrence and project-by-project procedure (Løkkegaard et al, 2022). ETO projects are characterized by high cost and delivery time pressure, a high degree of individualization, and high complexity in relation to planning and coordination activities, which lead to a large proportion of non-value-added activities resulting in productivity losses and lower competitiveness (Aslam et al, 2020;Schulze & Dallasega, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Engineer-to-Order (ETO) companies design and manufacture highly customized products such as machines, plants, buildings, and ships according to customer requirements. These goods are often characterized by low volumes, a low rate of order recurrence and project-by-project procedure (Løkkegaard et al, 2022). ETO projects are characterized by high cost and delivery time pressure, a high degree of individualization, and high complexity in relation to planning and coordination activities, which lead to a large proportion of non-value-added activities resulting in productivity losses and lower competitiveness (Aslam et al, 2020;Schulze & Dallasega, 2021).…”
Section: Introductionmentioning
confidence: 99%