Show simple item record

dc.contributor.authorPlehn, Christian
dc.contributor.authorStein, Florian
dc.contributor.authorReinhart, Gunther
dc.contributor.authorde Neufville, Richard L
dc.date.accessioned2018-05-18T19:17:57Z
dc.date.available2018-05-18T19:17:57Z
dc.date.issued2017-01
dc.identifier.issn2212-8271
dc.identifier.urihttp://hdl.handle.net/1721.1/115508
dc.description.abstractManufacturing systems are subject to frequent changes caused by technology and product innovation, varying demand, shifted product mix, continuous improvement initiatives, or regular substitutions of outworn equipment and machines. Elements within a manufacturing system are connected by a complex network of relations such as material flow, technological dependencies, infrastructure, and intangible cause-and-effect-chains. Depending on the scale of changes they may also interfere with engineering, procurement, logistics, or even manufacturing strategy. Thus, the total impact in terms of expected costs and required time for planning and implementation of those “manufacturing changes” is hard to predict. The objective of this paper is to provide a decision support for manufacturing change management and to enable a thorough analysis of changes in manufacturing systems. Although the topic of change propagation received considerable attention in product development in order to quantify the knock-on effects of engineering changes, comparable endeavors have not yet been made in the field of manufacturing science. Following a review of prevailing approaches from product development and manufacturing literature, a model-based approach for the prediction and assessment of change propagation in manufacturing systems is presented. Applied structural modeling techniques, the derived graph algorithm, and the proposed procedure of the approach are outlined. Finally, an industrial case study is presented to demonstrate the potential but also the limitations in practice.en_US
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (collaborative research center SFB 768 “Managing cycles in innovation processes: Integrated development of product-service systems based on technical products")en_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/J.PROCIR.2016.11.083en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceElsevieren_US
dc.titleAssessing the Impact of Changes and their Knock-on Effects in Manufacturing Systemsen_US
dc.typeArticleen_US
dc.identifier.citationPlehn, Christian, Florian Stein, Richard de Neufville, and Gunther Reinhart. “Assessing the Impact of Changes and Their Knock-on Effects in Manufacturing Systems.” Procedia CIRP 57 (2016): 479–486. © 2016 The Authors.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. School of Engineeringen_US
dc.contributor.mitauthorde Neufville, Richard L
dc.relation.journalProcedia CIRPen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-05-14T15:14:21Z
dspace.orderedauthorsPlehn, Christian; Stein, Florian; de Neufville, Richard; Reinhart, Guntheren_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-4851-812X
mit.licensePUBLISHER_CCen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record