Recommender Systems for Capability Matchmaking

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Wolfgang Badewitz
  • Florian Stamer
  • Johannes Linzbach
  • David Dann
  • Christof Weinhardt
  • Sebastian Lichtenberger

Supply chain planning in global production networks is a very difficult task due to the high diversity of products and machines and the immense number of possible configurations. An important task in this area is capability matchmaking: finding machines that are capable to produce specific parts. Today, this is done by experienced engineers who have the necessary knowledge to assess the feasibility and efficiency of solutions. However, they have limited knowledge of all available machines in the network and are strongly influenced by their personal familiarity with specific products, machines and locations. We present a decision support system that expands the search space, thereby facilitating the process and ultimately improving the implemented solution. To this end, we built an implicit recommender system that predicts possible machine types for parts based on their historical production patterns. This approach constitutes an effective and lightweight option for capability matchmaking in brown-field settings.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 23rd Conference on Business Informatics : Volume 2 - CBI Forum and Workshop Papers
EditorsJoao Paulo A. Almeida, Dominik Bork, Giancarlo Guizzardi, Marco Montali, Henderik A. Proper, Tiago P. Sales
Number of pages10
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date2021
Pages87-96
ISBN (print)978-1-6654-2070-9
ISBN (electronic)978-1-6654-2069-3
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event23rd IEEE Conference on Business Informatics - CBI 2021 - Free University of Bozen-Bolzano, Bozen, Italy
Duration: 01.09.202103.09.2021
Conference number: 23

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

    Research areas

  • Capability Matchmaking, Decision Support System, Machine Selection, Recommender System
  • Engineering