SCSC2003 Abstract S31727
A Supervised Multi-Agent Architecture for APS in multi-site production systems for demand validation and evaluation
A Supervised Multi-Agent Architecture for APS in multi-site production systems for demand validation and evaluation
Submitting Author: Prof. Flavio Tonelli
Abstract:
This project is the end result of the extensive cooperative efforts between the University of Genoa’s Department of Production Engineering and Atomos SpA. The main objective was to develop a new product, to be inserted in an APS (Advanced Planning System), in order to plan and optimize a logistics chain, with highly developed functions covering the expected demand, and to plan activities as well as supply operations. This suite, called SCM, which was developed by the Atomos group to supplement the existing and consolidated SCE (supply chain execution) suite, is the product of three years of research and development and a commercial alliance with Toolsgroup Italy that supplies the DPM (Distribution Planning Model) suite: a demand forecast generator for product macro-families and/or types. The tool presented in this paper, called Expert Plan, is used to solve a subset of the most common critical factors, present today in most medium-large companies, that are leaning more and m
ore toward the adoption of sophisticated tools that improve the business process, such as an APS system. In particular, this tool will resolve the “conflicts” between sales management requests and the constraints imposed by production through integrated, finite capacity planning. Expert Plan can analyze multi-site contexts since the planning engine was created using a multi-agent architecture with monitoring over three different hierarchical levels: demand, production sites and resources
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