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Author: Manchun Fang

Affiliation: Centre of Operational Research and Analysis, Defence Research Development Canada and National Defence Canada, Canada

ISBN: 978-989-758-218-9

Keyword(s): CAF Food Services, Performance Measure, Labour Productivity, Study Design.

Related Ontology Subjects/Areas/Topics: Applications ; Management Sciences ; Methodologies and Technologies ; Operational Research ; Pattern Recognition ; Software Engineering

Abstract: Canadian Armed Forces (CAF) Food Services recently implemented a standardized menu at all static service locations. Within this new regime, CAF Food Services requires a standard against which they can measure labour performance and use to inform future rationalization of staffing. To start, a pilot study was conducted in February and March 2015 to collect labour performance data. In this paper, we review the results from the pilot study. Due to issues identified with the pilot study, this paper also proposes a revised design and analytical approach for a follow-on study.

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Paper citation in several formats:
Fang, M. (2017). Design a Study for Determining Labour Productivity Standard in Canadian Armed Forces Food Services.In Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-218-9, pages 219-227. DOI: 10.5220/0006110702190227

@conference{icores17,
author={Manchun Fang.},
title={Design a Study for Determining Labour Productivity Standard in Canadian Armed Forces Food Services},
booktitle={Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2017},
pages={219-227},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006110702190227},
isbn={978-989-758-218-9},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Design a Study for Determining Labour Productivity Standard in Canadian Armed Forces Food Services
SN - 978-989-758-218-9
AU - Fang, M.
PY - 2017
SP - 219
EP - 227
DO - 10.5220/0006110702190227

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