一个花名册建设决策工具，为MLS扩张队

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-02-08 DOI:10.1515/jqas-2021-0041

Zachary J. Smith, J. Bickel

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引用次数: 0

摘要

摘要本文提出了美国职业足球大联盟(MLS)扩军球队阵容构建的数学建模框架。该模型寻求在联盟工资规则下构建最佳阵容，同时平衡现值，潜在价值和未来薪金灵活性。玩家获取决策，以及工资分配，目标分配资金(TAM)，一般分配资金(GAM)和指定的玩家插槽，都是由混合整数规划模型同时确定的。我们在构造一个假设的扩展花名册时证明了该模型的功能，并提出了一些扩展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A roster construction decision tool for MLS expansion teams

Abstract We present a mathematical modeling framework for roster construction of a Major League Soccer (MLS) expansion team. The model seeks to construct the best squad feasible under league salary rules, while balancing present value, potential value, and future cap flexibility. Player acquisition decisions, as well as allocation of salary, targeted allocation money (TAM), general allocation money (GAM), and designated player slots, are determined simultaneously by a mixed-integer programming model. We demonstrate the model’s functionality in constructing a hypothetical expansion roster and propose a number of extensions.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.