Page 32 - Impiantistica Italiana
P. 32
GOVERNANCE
Fig. 5 High-level Workforce Planning Process
Gap Optimization and Oracle appear to be suitable platforms on
which custom solutions can be designed.
Once the demand side and the capacity side are
defi ned, the ultimate goal of the process is to
highlight possible shortages or surpluses between Conclusions
the demanded manpower and the available This paper shows the key features of the Workfor-
manpower per skill or job role, and to eliminate ce Planning and its main sections (WFD and WFC),
the gap by recruiting employees from the external advising high-level guidelines in terms of recom-
environment, by transferring them within the mended process steps, operative models, input
organization, or through promotions, trainings and data, owners, reports’ frequency and tools. The
dismissals. presented features are believed to be generally ap-
The Optimal Control Model, Ad hoc Simulator, plicable to project-driven companies, yet of course
and the Fuzzy Model are based on the objective to be fully understood and individually deployed.
linear programming technique, and therefore can
compute the best combination of employees with
a certain skill, at every planning period, to be hired, References
dismissed, transferred, promoted and trained, [1] C.M. Khoong. An integrated system framework
in order to meet the demand’s requirements and analysis methodology for manpower planning.
and minimize the operational cost. The objective International Journal of Manpower, Vol.17 No. 1, pp. 26-
function can be solved by the Excel “Solver”. 46, 1996;
[2] C. P. Sing. H. C. Chan, P. E. D. Love, A. Y. T. Leung.
Workforce Planning (WFP) Building Maintenance and Repair: Determining the
Workforce Demand and Supply for a
In light of what has been outlined about the Work- Mandatory Building-Inspection Scheme. Journal of
force Planning sections (WFD, WFC), the overall Performance of Constructed Facilities, 2016, 30(2):
WFP process must guarantee the following key fea- 04015014;
tures: dynamism (ability to follow the project’s chan- [3] A. Safarishahrbijari. Workforce forecasting models: A
ges), iterativity & interactivity (including feedbacks), systematic review. Journal of Forecasting, 37:739-753,
being based on What-If scenario (ability to simulate 2018;
different situations with different inputs), continuity [4] H.C. Huang, L.H. Lee, H. Song, B.T. Eck. SimMan-A
(ability to adjust the staff at each time), discretion in simulation model for workforce capacity planning.
time (planning periods), being data-driven and cost- Computers & Operations Research, 36, 2490-2497,
effective. A generally valid high-level process de- 2009;
picting input data, process steps, and owners has [5] A.P.C. Chan, Y.H. Chiang, Stephen W.K. Mak, Lennon
been created (fi g. 5). The overall workforce planning H.T. Choy, James M.W.Wong. Forecasting the demand
should be monthly mastered, controlled and led for construction skills in Hong Kong, Construction
by the Human Resources department (t=1). Every Innovation 2006; 6: 3–19;
month, workforce demand and workforce capaci- [6] M. Mutingi, C. Mbohwa. Fuzzy system dynamics
ty should be evaluated, compared and balanced. and optimization with application to manpower
Regarding the tools to manage the process, Excel systems. International Journal of Industrial Engineering
could be a starting point, but not only, useful to col- Computations 3 (2012) 873–886, 2012;
lect and handle data regardless of size and sector. [7] T. De Feyter. Modelling heterogeneity in manpower
However, a big to medium size company should planning: dividing the personnel system into more
aim at implementing ad-hoc tools. With reference homogeneous subgroups. Applied stochastic models in
to the latter, SAP BPC, Microsoft Azure, Decisyon business and industry, 22:321–334, 2006.
28 Impiantistica Italiana - Settembre-Ottobre 2022

