Title: Decision-Support System for industrial logistics distribution: cost minimisation applying an agile production approach
Authors: Leta Anuziene, Algirdas Bargelis
Addresses: Department of Manufacturing Technologies, Kaunas University of Technology, Kestucio 27, LT-44312 Kaunas, Lithuania. ' Department of Manufacturing Technologies, Kaunas University of Technology, Kestucio 27, LT-44312 Kaunas, Lithuania
Abstract: The research of this paper is aimed at two objectives, namely the analysis of manufacture-in-transit distribution networks and formation of a Decision-Support System (DSS) framework, which minimises logistics network distribution costs. The input information of DSS is stored in database files and includes supplier location, quantity and types of raw materials, profiles, dimensions, price, qualitative requirements, plant location and supply deadlines. The proposed model of DSS evaluates the dependency of industrial logistics distribution costs on input values with alternatives of facility location and transportation channels. The DSS incorporates decision modelling structures, such as influence diagrams and decision tree. The proposed research is implemented in both industry and university education contexts.
Keywords: DSS; decision-support systems; industrial logistics; production distribution; lean manufacturing; agile manufacturing; lean distribution; forecasting; cost minimisation; manufacture-in-transit; distribution networks; supplier locations; raw materials; prices; qualitative requirements; plant locations; supply deadlines; input values; facility locations; transportation channels; decision modelling; influence diagrams; decision trees; higher education; universities; logistics systems; logistics management; R&D; research and development.
International Journal of Logistics Systems and Management, 2010 Vol.6 No.2, pp.149 - 161
Published online: 14 Jan 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article