DC FieldValueLanguage
dc.contributor.authorHauke, Jonas-
dc.contributor.authorLorscheid, Iris-
dc.contributor.authorMeyer, Matthias-
dc.date.accessioned2019-05-27T13:19:04Z-
dc.date.available2019-05-27T13:19:04Z-
dc.date.issued2018-07-03-
dc.identifier.citationInternational Journal of Production Research 13 (56): 4644-4658 (2018-07-03)de_DE
dc.identifier.issn0020-7543de_DE
dc.identifier.urihttp://hdl.handle.net/11420/2716-
dc.description.abstractThe demand planning process in semiconductor supply chains faces many challenges. In this process, individuals, their properties such as sensing capabilities and their interactions play a crucial role. This paper shows how agent-based modelling (ABM) can provide a computational testbed to investigate these aspects with respect to forecast accuracy. Based on the requirements of the demand planning context, we develop an empirically validated agent-based model of the demand planning process. In this model, we incorporate different concepts from behavioural science and the distributed cognition perspective. We show the usefulness of this agent-based computational testbed by using a case study from the semiconductor industry. Our model shows that demand planning accuracy does not depend on the planning capabilities of planners alone, but that the interactions of the individuals, emerging from the planning process design, may both positively and negatively affect accuracy.en
dc.language.isoende_DE
dc.relation.ispartofInternational journal of production researchde_DE
dc.titleIndividuals and their interactions in demand planning processes: an agent-based, computational testbedde_DE
dc.typeArticlede_DE
dc.type.diniarticle-
dcterms.DCMITypeText-
tuhh.abstract.englishThe demand planning process in semiconductor supply chains faces many challenges. In this process, individuals, their properties such as sensing capabilities and their interactions play a crucial role. This paper shows how agent-based modelling (ABM) can provide a computational testbed to investigate these aspects with respect to forecast accuracy. Based on the requirements of the demand planning context, we develop an empirically validated agent-based model of the demand planning process. In this model, we incorporate different concepts from behavioural science and the distributed cognition perspective. We show the usefulness of this agent-based computational testbed by using a case study from the semiconductor industry. Our model shows that demand planning accuracy does not depend on the planning capabilities of planners alone, but that the interactions of the individuals, emerging from the planning process design, may both positively and negatively affect accuracy.de_DE
tuhh.publisher.doi10.1080/00207543.2017.1377356-
tuhh.publication.instituteControlling und Simulation W-1de_DE
tuhh.type.opus(wissenschaftlicher) Artikel-
tuhh.institute.germanControlling und Simulation W-1de
tuhh.institute.englishControlling und Simulation W-1de_DE
tuhh.gvk.hasppnfalse-
dc.type.driverarticle-
dc.type.casraiJournal Article-
tuhh.container.issue13de_DE
tuhh.container.volume56de_DE
tuhh.container.startpage4644de_DE
tuhh.container.endpage4658de_DE
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.grantfulltextnone-
item.creatorOrcidHauke, Jonas-
item.creatorOrcidLorscheid, Iris-
item.creatorOrcidMeyer, Matthias-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.creatorGNDHauke, Jonas-
item.creatorGNDLorscheid, Iris-
item.creatorGNDMeyer, Matthias-
item.cerifentitytypePublications-
crisitem.author.deptControlling und Simulation W-1-
crisitem.author.deptControlling und Simulation W-1-
crisitem.author.deptControlling und Simulation W-1-
crisitem.author.orcid0000-0001-6180-1192-
crisitem.author.orcid0000-0003-2980-4670-
crisitem.author.parentorgStudiendekanat Management-Wissenschaften und Technologie-
crisitem.author.parentorgStudiendekanat Management-Wissenschaften und Technologie-
crisitem.author.parentorgStudiendekanat Management-Wissenschaften und Technologie-
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