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Modeling resale value of road compaction equipment: a data mining approach
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. (Product Development Research Lab)
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. (Product Development Research Lab)ORCID iD: 0000-0002-5076-3300
2018 (English)In: IFAC PAPERSONLINE, Elsevier, 2018, Vol. 51, no 11, p. 1101-1106, article id no.11Conference paper, Published paper (Refereed)
Abstract [en]

Resale value is an important aspect to be addressed when companies aim to shift from one-sale models to Product Service Systems (PSS). In the initial stages of the PSS design process, it is beneficial to predict how the mechanical features of the PSS hardware will impact resale value, so to orient business strategy decisions accordingly. The objective of this work is to propose a methodology to model the resale value of road compaction equipment using data mining techniques. By scrapping and merging data sets from the machine manufacturer and from dealers of second-hand machines, the work discusses how the derived correlations may be used to populate value models for early stage decision making.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 51, no 11, p. 1101-1106, article id no.11
Series
IFAC PAPERSONLINE, ISSN 2405-8963 ; 51
Keywords [en]
Data-driven decision making, product service system, new product development, decision support systems, data mining.
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-16393DOI: 10.1016/j.ifacol.2018.08.457ISI: 000445651000184OAI: oai:DiVA.org:bth-16393DiVA, id: diva2:1216300
Conference
16th IFAC Symposium on Information Control Problems in Manufacturing
Projects
Model Driven Development and Decision Support
Funder
Knowledge FoundationAvailable from: 2018-06-11 Created: 2018-06-11 Last updated: 2018-10-30Bibliographically approved

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Chowdhery, Syed AzadBertoni, Marco

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CiteExportLink to record
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  • apa
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