HUMAN RESOURCE MODELLING FOR BUSINESS PROCESS ENGINEERING
Roberto Mosca, Simone Viazzo
MISS DIP University of Genoa
via Opera Pia 15 - 16145 Genova, Italy
Tel +39 010 353 2883 - Fax +39 010 317 750
roberto@itim.unige.it
st.itim.unige.it
Chiara Briano
BRB Studio
Office Tower Voltri Port -16158 Genoa, Italy
Tel +39 010 61 23 097 - Fax +39 010 61 22 234
chiara.briano@brbstudio.com
www.brbstudio.com
Marina Massei, Simone Simeoni, Danila Carini
Liophant Simulation
Via Molinero 1, 17100 Savona, Italy
Tel +39 019 264 555 – Fax +39 019 23 02 289
marina.massei@liophant.org
www.liophant.org
ABSTRACT
This paper is approaching the problem to consider and
evaluate the impact of human resources in relation to
M&S (Modelling & Simulation) applications in business
processes. The paper proposes an approach for the impact
evaluation in relation to the modelling of these
components on specific industrial cases in order to define
the appropriate level of details; the authors propose an
example as demonstration for outlining critical aspects.
INTRODUCTION
The human modeling is one of the biggest challenges in
computer simulation. In effect the human beings represent
usually a very fundamental element in complex systems,
however their simulation results very difficult due to the
high impact of stochastic and individual components.
Traditionally this problem has been experienced in
relation to military applications of Modelling &
Simulation in different areas such as :
· Training Simulation
· Operation Planning
· Operation Support
In general sense, and in reference to the first level of
complexity (training issue), this issue was partially solved
by developments in distributed simulation since the
beginning of ’90.
In effect the idea to interconnect the old stand-alone
simulators, initially by using DIS (Distributed Interactive
Simulators), allowed to solve the problem to create
complex scenarios for training where the opposite forces
was able to react dynamically and with intelligence to the
trainees actions.
This was obviously a way to turn around the critical
problem to develop CGFs (Computer Generated Forces)
able to show realistic human capacity in term of tactical
decision, competitive and cooperative behavior, etc.
However the necessity to include human components in
the models of real systems is growing partially due to the
evolution of the simulation demand (i.e. simulation
applied to social sciences, economics, safety and security)
and partially due to the interests in extending their
validity ranges for interconnecting objects and federates.
Therefore the introduction of these components in
simulation models involves significant problems in term
of Data Collection, Multidisciplinary Team Working,
VV&A (Validation, Verification), Result Reliability.
In industrial context the simulation projects have strong
constraints related to costs and development times; in this
framework it becomes critical to identify guidelines and
best practices for defining the proper level of fidelity in
order to guarantee success in this sector.
The paper proposes an example derived from industrial
application where this approach was successfully applied.
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