Details
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022 |
| Publisher | IEEE Computer Society |
| Pages | 428-433 |
| Number of pages | 6 |
| ISBN (electronic) | 9781665486873 |
| ISBN (print) | 9781665486880 |
| Publication status | Published - 2022 |
| Event | 2022 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022 - Kuala Lumpur, Malaysia Duration: 7 Dec 2022 → 10 Dec 2022 |
Publication series
| Name | IEEE International Conference on Industrial Engineering and Engineering Management |
|---|---|
| Volume | 2022-December |
| ISSN (Print) | 2157-3611 |
| ISSN (electronic) | 2157-362X |
Abstract
Business success is increasingly dependent on portfolio management and assessment through increased individualization of products. Evaluation of product portfolios from the perspective of production logistics offers new valuable insights in addition to existing market-oriented approaches. Regarding product portfolio management, deleting problematic products is often seen as an unfavorable decision, inducing the potential of unnecessarily overloaded and overcomplex product portfolios. This paper presents a product portfolio assessment and management approach based on production-related distance measures to identify and remove logistically problematic products. In addition, proposed distance measures are identified considering their general meaningfulness and usefulness for cluster analysis. Finally, the presented approach is used on an existing production dataset of a global manufacturer, showing the potential of a production logistics-oriented perspective for product portfolio assessment and management.
Keywords
- distance measures, Product portfolio evaluation, production complexity, similarity analysis
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Business, Management and Accounting (miscellaneous)
- Engineering(all)
- Industrial and Manufacturing Engineering
- Engineering(all)
- Safety, Risk, Reliability and Quality
Cite this
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IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022. IEEE Computer Society, 2022. p. 428-433 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2022-December).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Using Distance Measures and Cluster Algorithms for Production Logistics-oriented Evaluation of Products and Product Portfolios
AU - Kampfer, T.
AU - Klaßen, S.
AU - Nyhuis, P.
N1 - Funding Information: Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) “Logistische Produktportfoliobewertung – LoProBe” – 423857520.
PY - 2022
Y1 - 2022
N2 - Business success is increasingly dependent on portfolio management and assessment through increased individualization of products. Evaluation of product portfolios from the perspective of production logistics offers new valuable insights in addition to existing market-oriented approaches. Regarding product portfolio management, deleting problematic products is often seen as an unfavorable decision, inducing the potential of unnecessarily overloaded and overcomplex product portfolios. This paper presents a product portfolio assessment and management approach based on production-related distance measures to identify and remove logistically problematic products. In addition, proposed distance measures are identified considering their general meaningfulness and usefulness for cluster analysis. Finally, the presented approach is used on an existing production dataset of a global manufacturer, showing the potential of a production logistics-oriented perspective for product portfolio assessment and management.
AB - Business success is increasingly dependent on portfolio management and assessment through increased individualization of products. Evaluation of product portfolios from the perspective of production logistics offers new valuable insights in addition to existing market-oriented approaches. Regarding product portfolio management, deleting problematic products is often seen as an unfavorable decision, inducing the potential of unnecessarily overloaded and overcomplex product portfolios. This paper presents a product portfolio assessment and management approach based on production-related distance measures to identify and remove logistically problematic products. In addition, proposed distance measures are identified considering their general meaningfulness and usefulness for cluster analysis. Finally, the presented approach is used on an existing production dataset of a global manufacturer, showing the potential of a production logistics-oriented perspective for product portfolio assessment and management.
KW - distance measures
KW - Product portfolio evaluation
KW - production complexity
KW - similarity analysis
UR - http://www.scopus.com/inward/record.url?scp=85146356823&partnerID=8YFLogxK
U2 - 10.1109/IEEM55944.2022.9989703
DO - 10.1109/IEEM55944.2022.9989703
M3 - Conference contribution
AN - SCOPUS:85146356823
SN - 9781665486880
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 428
EP - 433
BT - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022
PB - IEEE Computer Society
T2 - 2022 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022
Y2 - 7 December 2022 through 10 December 2022
ER -