1988
DOI: 10.1287/mnsc.34.10.1221
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Multiple Shift Workforce Lower Bounds

Abstract: Previous lower bounds on workforce size have been derived from the consideration that the number of working shifts which can be provided by the workers over a given period of time must be at least as large as the number of working shifts required by the staffing demands over that period. None of those bounds incorporates the effect of constraints on the changing of shifts in a multiple shift manpower scheduling problem. This paper utilizes a network model of the problem to model its multiple shift aspect and p… Show more

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Cited by 11 publications
(2 citation statements)
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“…The planning literature is rooted in a history of aggregate planning studies. Determining the number of employees to hire and fire (Holt, Modigliani, & Simon, 1955; Hanssmann & Hess 1960; Taubert, 1968; Grinold & Marshall, 1977; Mellichamp & Love, 1978; Bartholomew & Forbes, 1979) and methods for determining the size of the workforce (Burns & Carter, 1985; Burns & Koop, 1987; Koop, 1988; Ikem & Reisman, 1990; Dijkstra, Kron, Salomon, van Nunen, & van Wassenhove, 1994) have been studied for many years. In our study, we focus on settings where the size of the workforce is fixed in the short run.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The planning literature is rooted in a history of aggregate planning studies. Determining the number of employees to hire and fire (Holt, Modigliani, & Simon, 1955; Hanssmann & Hess 1960; Taubert, 1968; Grinold & Marshall, 1977; Mellichamp & Love, 1978; Bartholomew & Forbes, 1979) and methods for determining the size of the workforce (Burns & Carter, 1985; Burns & Koop, 1987; Koop, 1988; Ikem & Reisman, 1990; Dijkstra, Kron, Salomon, van Nunen, & van Wassenhove, 1994) have been studied for many years. In our study, we focus on settings where the size of the workforce is fixed in the short run.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The size of the workforce required is indicated by shift allocations over a planning horizon, e.g. a week [10], [32].…”
Section: Experimental Modelmentioning
confidence: 99%