Reference: DPI2010-19977
Period underway: 01/01/2011 – 01/01/2012
Type: Competitive research projects
Amount: 12,100 €
Financed by: SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS
Principal Investigator: Mula Bru, Josefa
Participants: Poler R.; Mula, Josefa; Peidro Payá, David; Ferriols Martínez, Francisco José; Hernández Hormazabal, Jorge Esteban; Díaz-Madroñero Boluda, Francisco Manuel

Description:

The main technologies of existing production, such as MRPII, JIT, OPT, etc., and its variants centre on planning production; that is, supplying materials and planning production capacities by leaving aside such aspects as transport planning, balanced planning of unloading materials and redesigning warehouses. However, these models are no longer useful for all supply chain contexts, specifically for those with a large offshoring of suppliers of raw materials and components. In these productive environments, transport planning and unloading materials, as well as continuously redesigning warehouses, become fundamentally prominent as costs, transport restrictions and warehouses can render suboptimal, and even impossible, the proposed production plans. This project aims to develop new production technology that continuously considers the decisions related to production planning, transport, unloading and redesigning warehouses to avoid suboptimising these plans which are, at present, usually generated sequentially and independently. To make these effects three project phases have been considered: a) the conceptual modelling of the proposal; b) analytical modelling; c) experimentation. These three phases will use conceptual modelling techniques, analytical modelling, fuzzy optimisation, evolutionary computing, simulation, decision systems and multi-agent systems. The fuzzy optimisation and evolutionary computing models will be integrated with simulation models into a decision-making support system prototype for real practical tactical and operational planning problems of SCs. The support of an EPO (Ente Promotor Observer) that belongs to a supply chain from the automotive sector will help validate the results of this project.