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Investigating scheduling of work: a two‐stage optimal matching analysis of workdays and workweeks
Author(s) -
Lesnard Laurent,
Kan Man Yee
Publication year - 2011
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.1111/j.1467-985x.2010.00670.x
Subject(s) - matching (statistics) , scheduling (production processes) , optimal matching , computer science , operations research , mathematical optimization , mathematics , statistics
Summary. We study the scheduling of work by using optimal matching analysis. We show that optimal matching can be adapted to the number of periodicities and theoretical concerns of the topic by adjusting its costs and parameters. Optimal matching is applied at two stages to define workdays and workweeks at the first and second stage respectively. There were five types of workdays and seven types of workweeks in the UK between 2000 and 2001. Standard workdays represented just over a half of workdays and standard workweeks constituted one in four workweeks. There were three types of part‐time workweeks.