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dc.contributor.authorHedenstrierna, CPT
dc.contributor.authorDisney, S
dc.contributor.authorHolmstrom, J
dc.date.accessioned2020-01-13T15:20:56Z
dc.date.issued2020-03-27
dc.description.abstractConsumer 3D printing services offering to print customer’s models on demand must achieve high service with the available capacity. While the bulk of production tends to come from in-house capacity, overtime is also viable for managing demand peaks. This chapter shows how 3D printers can manage their order book releases to deliver on time, while keeping production costs low. Applying order book smoothing to a numerical case reveals a cost–service trade-off that is not convex, as typically seen in inventory models, but of sigmoid type. This results in two attractive configurations: Atrocious service at a minimal cost, or near-perfect service at a reasonable cost.en_GB
dc.identifier.citationIn: Managing 3D Printing: Operations Management for Additive Manufacturing, edited by Daniel Eyers, pp. 61-75en_GB
dc.identifier.doi10.1007/978-3-030-23323-5_5
dc.identifier.urihttp://hdl.handle.net/10871/40398
dc.language.isoenen_GB
dc.publisherPalgrave Macmillanen_GB
dc.rights.embargoreasonUnder embargo until 27 March 2022 in compliance with publisher policyen_GB
dc.rights© The Author(s) 2020
dc.titleService levels in make-to-order production: 3D printing applicationsen_GB
dc.typeBook chapteren_GB
dc.date.available2020-01-13T15:20:56Z
dc.contributor.editorEyers, Den_GB
dc.identifier.isbn9783030233228
dc.relation.isPartOfManaging 3D Printing: Operations Management for Additive Manufacturingen_GB
dc.descriptionThis is the author accepted manuscript. The final version is available from Palgrave Macmillan via the DOI in this recorden_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2020-03-27
rioxxterms.typeBook chapteren_GB
refterms.dateFCD2020-01-13T15:12:28Z
refterms.versionFCDAM


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