UNEXPLAINED ABSENTEEISM: A SIMULATION APPROACH.

Shlomo Globerson; Phiroze J. Nagarvala

UNEXPLAINED ABSENTEEISM: A SIMULATION APPROACH.

Shlomo Globerson^*
, Phiroze J. Nagarvala

^*Corresponding author for this work

Coller School of Management

Research output: Contribution to conference › Paper › peer-review

3 Scopus citations

Abstract

The authors use simulation as a technique to predict unexplained absenteeism. The model is based on real world data including the probability of the first day of absence and the length of such absence as a function of the day of the week. The results include a prediction of the future pattern of unexplained absence, the size of the standby worker pool to ensure a minimum work force with given confidence, and an estimation of the maximum monetary incentive to be offered in order to modify worker absentee behavior.

Original language	English
Pages	54-58
Number of pages	5
State	Published - 1974
Event	Winter Simul Conf, Annu, Proc - Washington, DC, USA Duration: 14 Jan 1974 → 16 Jan 1974

Conference

Conference	Winter Simul Conf, Annu, Proc
City	Washington, DC, USA
Period	14/01/74 → 16/01/74

Cite this

@conference{95e817c739dd478bae359b91d7e6672e,

title = "UNEXPLAINED ABSENTEEISM: A SIMULATION APPROACH.",

abstract = "The authors use simulation as a technique to predict unexplained absenteeism. The model is based on real world data including the probability of the first day of absence and the length of such absence as a function of the day of the week. The results include a prediction of the future pattern of unexplained absence, the size of the standby worker pool to ensure a minimum work force with given confidence, and an estimation of the maximum monetary incentive to be offered in order to modify worker absentee behavior.",

author = "Shlomo Globerson and Nagarvala, \{Phiroze J.\}",

year = "1974",

language = "אנגלית",

pages = "54--58",

note = "Winter Simul Conf, Annu, Proc ; Conference date: 14-01-1974 Through 16-01-1974",

}

TY - CONF

T1 - UNEXPLAINED ABSENTEEISM

T2 - Winter Simul Conf, Annu, Proc

AU - Globerson, Shlomo

AU - Nagarvala, Phiroze J.

PY - 1974

Y1 - 1974

N2 - The authors use simulation as a technique to predict unexplained absenteeism. The model is based on real world data including the probability of the first day of absence and the length of such absence as a function of the day of the week. The results include a prediction of the future pattern of unexplained absence, the size of the standby worker pool to ensure a minimum work force with given confidence, and an estimation of the maximum monetary incentive to be offered in order to modify worker absentee behavior.

AB - The authors use simulation as a technique to predict unexplained absenteeism. The model is based on real world data including the probability of the first day of absence and the length of such absence as a function of the day of the week. The results include a prediction of the future pattern of unexplained absence, the size of the standby worker pool to ensure a minimum work force with given confidence, and an estimation of the maximum monetary incentive to be offered in order to modify worker absentee behavior.

UR - https://www.scopus.com/pages/publications/0015989252

M3 - ???researchoutput.researchoutputtypes.contributiontoconference.paper???

AN - SCOPUS:0015989252

SP - 54

EP - 58

Y2 - 14 January 1974 through 16 January 1974

ER -

UNEXPLAINED ABSENTEEISM: A SIMULATION APPROACH.

Abstract

Conference

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