Raul Poler

TL;DR: A review of the literature related to supply chain planning methods under uncertainty is presented in this paper, where the main objective is to provide the reader with a starting point for modelling supply chain under uncertainty applying quantitative approaches.

TL;DR: This paper provides a new linear programming model for medium term production planning in a capacity constrained MRP, multi-product,multi-level and multi-period manufacturing environment and transforms into three fuzzy models with flexibility in the objective function, in the market demand and in the available capacity of resources.

TL;DR: Multi-modal and multi-variable problems with inequality constraints are modelled and the solution is done by applying the Kuhn-Tucker conditions.

TL;DR: The challenge of sustaining networked EIS interoperability is focused on, and input from solid research initiatives in the areas of knowledge management and model driven development is taken up, to propose and discuss several research strategies and technological trends towards next EIS generation.