Value Driver Trees for KPI-Based Decision Analytics: Process Performance in the Order-to-Delivery Process

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dc.contributor.authorMorgret, Linda
dc.contributor.authorFeldmann, Carsten
dc.contributor.authorMatthies, Benjamin
dc.date.accessioned2023-12-26T18:37:03Z
dc.date.available2023-12-26T18:37:03Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.170
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherb4461faf-c19f-4761-9ed4-8ed99e39072e
dc.identifier.urihttps://hdl.handle.net/10125/106547
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectIntelligent Decision Support for Logistics and Supply Chain Management
dc.subjectcorrelation analysis
dc.subjectdecision analytics
dc.subjectorder-to-delivery process
dc.subjectsupply chain performance metrics
dc.subjectvalue driver tree
dc.titleValue Driver Trees for KPI-Based Decision Analytics: Process Performance in the Order-to-Delivery Process
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThe order-to-delivery process is one of the most complex logistics processes. Knowing how to successfully satisfy customers through this process is a critical competitive factor for companies. However, there are no suitable methods for value-based decision-making in this process. One goal of this research is to systematically derive a value driver tree based on axiomatic design. Value driver trees are conceptual models that mathematically or logically explain the cause-and-effect relationships between value drivers and their key performance indicators. A systematic literature review and expert interviews in the German manufacturing industry were conducted to provide practitioners with a validated model. In addition, statistical certainty about the relationships between the drivers of the tree is required. A correlation analysis based on real-world case study data confirmed monotonic relationships between selected metrics extending decision analytics research.
dcterms.extent10 pages
prism.startingpage1370

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