Stefano Riemma

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This research introduces a support tool for the demand forecast management of local pharmacies. It is based on the forecast of the requirements obtained through the implementation of a Radial Basis Function (RBF) neural network. Having an accurate forecast allows you to reduce the average level of stock and consequently the costs of warehousing and space(More)
The paper proposes an alternative method for the multi-item EOQ calculation in presence of space restrictions. The method, based on the Lagrange multipliers, consists of an iterative procedure which analyses dynamically, through the simulation, the effect of consumption rates and delivery times, determining the real stock overlapping in a fixed time period.(More)
The JIT system and its operational techniques have shown noticeable advantages when applied in an ideal factory. The steadiness of demand and production times and the reduction of setup times represent the key factor necessary in order to correctly execute JIT. Ideal environments are designed to work with smooth and stable demand patterns, constant and(More)
The present paper proposes an evaluation model able to integrate the selection phase with the monitoring and the continuous analysis of the vendor performances. The vendor evaluation process is realised through an opportune methodology which puts beside qualitative judgements (i.e. the adequacy of the organisation or the maintenance management policies) and(More)