Optimization of the supply chain through decision models in aggregate planning

Abstract

The study consists of the design of a decision analysis model for the supply chain, based on the Aggregate Planning strategies; the present investigation is of a transversal exploratory type. This arises from the need for Pymes and MiPymes to carry out a correct scheduling of purchases for the supply of products in its three basic levels from the supplier to the end customer. The objective of this project is to present a model that allows reducing the level of risk in supply chains using aggregate planning tools and decision analysis. The decision analysis model designed based on uncertainty will serve as a general plan for operations and will establish the parameters within which it would facilitate the performance of the supply chains of Pymes, allowing to improve capacity distributions. Therefore, it is important to execute the aggregate plans in a very broad scope of the chain, as proposed in the model proposed and applied in a Pyme company, with adequate and promising results.