Showing papers by "Tommaso Rossi published in 2011"
TL;DR: The meta-model can dramatically reduce to a few minutes or even seconds the time required to test a specific configuration of a supply chain and/or a specific management policy and, since the simulation model is automatically built, neither the personnel skills nor the time available to build the Simulation model represent significant hurdles anymore.
Abstract: This paper proposes a meta-model, which allows automatic building of simulation models of supply chains The proposed meta-model is made up from a user interface (to define the characteristics of the supply chain), an ad hoc objects library and a software application, to build the simulation model The meta-model can dramatically reduce to a few minutes or even seconds the time required to test a specific configuration of a supply chain and/or a specific management policy and, since the simulation model is automatically built, neither the personnel skills nor the time available to build the simulation model represent significant hurdles anymore The meta-model has been applied to represent a simplified supply chain according to six different scenarios, where demand is deterministic For each scenario a simulation campaign has been performed and the outputs of the model (built through the proposed meta-model) correspond to the predicted results
17 citations
TL;DR: A comparison of the performance of the new MRP method with the traditional one shows that the new one takes effectively into account capacity constraints and provides feasible plans.
Abstract: The two main limits of material requirements planning (MRP) systems are: (1) MRP does not take into account production capacity constraints and (2) lead time values are pre-defined input of the procedure. The approaches developed so far solve the first limitation by considering capacity constraints out of the procedure. Target of this paper is to define a new MRP method that overcomes these limitations. In particular, the proposed procedure, through a simulation model, allows to obtain a plan, which complies with resources capacity and which does not need to receive estimated lead time values as input. The proposed method has been applied to a case presenting all the elements of complexity of the MRP phase. A comparison of the performance of the new procedure with the traditional one shows that the new one takes effectively into account capacity constraints and provides feasible plans.
12 citations