Assignment of swimmers to events in a multi-team meeting for team global performance optimization

Simona Mancini ()
Additional contact information
Simona Mancini: Politecnico di Torino

Annals of Operations Research, 2018, vol. 264, issue 1, No 13, 325-337

Abstract: Abstract Assigning swimmers to events in order to maximize global performance of the team in a multi-team meeting is not a trivial issue for coaches. In fact, often months of hard work and training is wasted if a mistake is made in the line-up decision process. Expert coaches use their long time experience in order to make correct decisions, but often without reaching an optimal assignment. Athletes preferences also affect the decision process making coaches job even harder and, furthermore, the actual goal to be achieved may vary among situations. In this paper two different integer programming models, based on an estimation of opponents performances capability, constructed following two different philosophies and addressing two different situations are proposed. The first model just maximizes the total score obtained by the team, while the second model aim to optimize the placement achieved by the team in the meeting final ranking and the advantage on the first follower in the ranking. A detailed analysis of good and bad points of the two approaches and of situations in which one approach may be preferred respect to the other is reported. A real case example, taken from an Italian Regional Master Meeting, is deeply analyzed and a discussion on the comparison among results obtained with the assignment provided by the two models and the actual lineup proposed by the coach, is provided.

Keywords: Swimming; Assignment; Integer programming; Sport; Combinatorial optimization (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10479-017-2735-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:264:y:2018:i:1:d:10.1007_s10479-017-2735-5

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-017-2735-5

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().