Workforce Scheduling in Administrative Operations: A Case Study in Accounting

Published date01 June 2019
Date01 June 2019
DOIhttp://doi.org/10.1002/cjas.1491
Workforce Scheduling in Administrative
Operations: A Case Study in Accounting
Douglas M. Miranda*
Federal University of Minas Gerais
Abstract
This paper considers a case study of dynamic job scheduling
applied to a real accounting operation. Tasks are assigned
to agents over a time horizon minimizing the number of
delays and overtime while maximizing the number of antici-
pated tasks. The solution respects a set of constraints such
as agent skills, due time and precedence requirements. It
also accounts for uncertainties by capturing changes in the
environment such as new orders, changes in the agents
availability and unexpected problems while performing a
task. The manager is given a chance to f‌irst simulate and
then deploy corrective actions to mitigate the impact of
changes in the environment. Two heuristics are developed
and the results show a signif‌icant performance improvement
in the operation. Copyright © 2018 ASAC. Published by
John Wiley & Sons, Ltd.
Keywords: combinatorial optimization, workforce schedul-
ing, administrative operations, accounting, heuristics
Résumé
Dans le présent article, nous examinons une étude de cas de
la planif‌ication dynamique des tâches appliquée à une véri-
table opération comptable. Les tâches sont assignées aux
agents sur un horizon temporel qui minimise le nombre de
retards et dheures supplémentaires tout en maximisant le
nombre de tâches prévues. La solution respecte un ensemble
de contraintes telles que les compétences des agents, le
temps nécessaire et les exigences de priorité. Il tient
également compte des incertitudes en prenant en compte
les changements dans lenvironnement tels que les nouvelles
commandes, les changements dans la disponibilité des
agents et les problèmes inattendus dans lexécution dune
tâche. Le gestionnaire a la chance de simuler dabord la
tâche et de déployer ensuite des mesures correctives pour
atténuer limpact des changements dans lenvironnement.
Deux heuristiques sont développées et les résultats montrent
une amélioration considérable des performances de
lopération. Copyright © 2018 ASAC. Published by John
Wiley & Sons, Ltd.
Mots-clés: optimisation combinatoire,planif‌ication des
effectifs,opérations administratives,comptabilité,
heuristique
Introduction
The importance and complexity of scheduling and opti-
mization problems have encouraged the development of
many methods and tools over the last decades. Traditional
methods do not represent properly the dynamics of real ap-
plications requiring, for instance, that orders and resources
are known in advance. In many situations, this information
is not available or it changes overtime reducing the quality
of the solutions obtained by such models. It makes desired
the development of approaches that are able to deal with
changes in real time, such as new orders that may arrive at
any time.
Concerning administrative operations, organizations are
under increasing pressure to identify means to match the im-
provement that has been made in manufacturing operations.
Despite the industry of the application (manufacturing or
service), the scheduling approach is affected by the features
of the specif‌ic processes it is applied to. Both manufacturing
and service companies usually have back-off‌ice operations
performing administrative tasks in areas such as accounting,
procurement, accounts payable, accounts receivable, billing,
credit analysis, master-data management, human resources,
and others. Due to the fact that in many situations most of
the employees work in these areas and considering this envi-
ronment can be highly dynamic, diverse, and involve a huge
volume of transactions, f‌inding solutions able to manage
*
Please address correspondence to: Douglas Moura Miranda, PhD, Federal
University of Minas Gerais 6627, Antônio Carlos Avenue, Belo Horizonte,
Brazil. Email: douglas.miranda@gmail.com
Canadian Journal of Administrative Sciences
Revue canadienne des sciences de ladministration
36: 273287 (2019)
Published online 9 May 2018 in Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002/CJAS.1491
Can J Adm Sci
36(2), 273287 (2019)Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd. 273

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