The human resources allocation (HRA) is a major issue for container terminals. The workloadis organized in shifts covering 24 hours a day and, due to union and work rules, shifts aretypically requested to be planned a number of months before their implementation. As aconsequence, information on the workforce demand is imprecise when HRA must be planned.This problem must be addressed by a superior exibility, which can be achieved by the twoplanning levels: the long term stage and the short term one, which encompasses one or moredays. In this talk we address the operational planning level which inherits some unchangea-ble decisions from the long term plan and considers the terminal resources involved in realworkload. The related literature on HRA does not consider personnel shortfall, which is themost risky situation for terminals, because it may result in vessel delays and in high penaltiescharged by shipping companies to terminals. The ability to correct manpower shortfalls in atimely fashion is a key factor for the overall productivity of container terminals and their com-petitiveness in the shipping industry. In this talk we present an Integer Linear ProgrammingModel, which addresses this gap by modelling shortages as appropriate decision variables. Theobjective of our model is to determine the optimal allocation of workers to tasks, shifts andterminal activities, as well as to minimize shortfalls. The model has been used in a rollinghorizon fashion, to compare here-and-now decisions deriving from a one-day and a two-dayplanning horizon. It is exactly solved by a state-of-art solver within reasonable times for theneeds of terminal containers. Our experimentation shows that personnel shortfalls can besigni cantly reduced if the model encompasses a longer-than-one-day planning horizon in arolling horizon fashion. Moreover, whenever shortfalls are observed, they are clustered in lowlevel tasks.
|Numero di pagine||1|
|Stato di pubblicazione||Published - 2012|