AGENT-BASED PRODUCTION PLANNING SUPPORT SYSTEM

被引:0
作者
Parshutin, Serge [1 ]
Borisov, Arkady [1 ]
机构
[1] Riga Tech Univ, Inst Informat Technol, LV-1658 Riga, Latvia
关键词
Software Agents; Data Mining; Decision Support; Production Planning; Product Life Cycle; Forecasting Transition Points;
D O I
10.3846/tede.2010.28
中图分类号
F [经济];
学科分类号
02 ;
摘要
Production planning is the main aspect for a manufacturer affecting the income of a company. Correct production planning policy chosen for the right product at the right moment in the product life cycle (PLC) reduces production, storing and other related costs. This leads to such problems to be solved as defining the present PLC phase of a product and also determining the transition point - a moment of time when the PLC phase changes. The paper presents the Agent-Based Production Planning Support system meant for supporting a production manager in his/her production planning decisions. The developed system is based on the analysis of historical demand for products and on the information about transitions between phases in life cycles of those products. The system creates a model and uses it to forecast a transition point for a product that only begins its life on the market. The architecture of the developed system is presented and an analysis of testing on real-world data results is given.
引用
收藏
页码:455 / 470
页数:16
相关论文
共 18 条
  • [1] Agent-based model for optimising supply-chain configurations
    Akanle, O. M.
    Zhang, D. Z.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2008, 115 (02) : 444 - 460
  • [2] [Anonymous], 2001, P 1 SIAM INT C DAT M
  • [3] [Anonymous], INTRO MULTIAGENT SYS
  • [4] [Anonymous], 2006, Introduction to Data Mining
  • [5] [Anonymous], 2011, Pei. data mining concepts and techniques
  • [6] Athanasiadis I. N., 2004, Management of Environmental Quality, V15, P238, DOI 10.1108/14777830410531216
  • [7] CYCLICAL SCHEDULES FOR CAPACITATED LOT SIZING WITH DYNAMIC DEMANDS
    CAMPBELL, GM
    MABERT, VA
    [J]. MANAGEMENT SCIENCE, 1991, 37 (04) : 409 - 427
  • [8] Chakrabarti Soumen., 2009, DATA MINING KNOW IT
  • [9] Dreyfus G., 2005, NEURAL NETWORKS METH, DOI DOI 10.1007/3-540-28847-3
  • [10] Ferber J., 1999, Multi-agent systems: an introduction to distributed artificial intelligence