2B1 INTELLIGENT PRODUCTION CONTROL SYSTEM FOR MULTI-MACHINES

スポンサーリンク

概要

• 論文の詳細を見る

• This research considers the just-in-time shceduling problem aiming at minimizing the total earliness and tardiness penalties of all jobs. The manufacturing environment consists of multiple stages with multiple machines at each stage. All jobs must go through all the stages in sequence in order to become a product, and the processing time for each product on each machine is different. There exist delivery time between machines, and the release time of jobs is unknown, which means a new job may be released into the sysyem at any time. In addition, machine breakdown and machine recovery are also taken into consideration. An intelligent production control system is presented in this paper to solve the described problem. The system, consisted of distributed agents, is featured by concurrent computing and realtime communication. The system has been tested under normal manufacturing condition as well as machine breakdown situation. The result reveals that the proposed intelligent production control system delivers competitive performance for the targeted problem.

• 一般社団法人日本機械学会の論文
• 2009-07-04

著者

• Fujimura Shigeru

  Graduate School Of Information Production And Systems Waseda University

• Weng Wei

  Graduate School Of Information Production And Systems Waseda University

• Weng Wei

  Graduate School of Information, Production, and Systems, Waseda University

• Fujimura Shigeru

  Graduate School of Information, Production, and Systems, Waseda University

関連論文

• Self Evolution Algorithm to Minimize Earliness and Tardiness Penalties with a Common Due Date on a Single Machine
• 2B1 INTELLIGENT PRODUCTION CONTROL SYSTEM FOR MULTI-MACHINES
• Multi-objective Local Search Combined with NSGA-II for Bi-criteria Permutation Flow Shop Scheduling Problem (特集 確率的最適化と機械学習の統計的設計と応用)

スポンサーリンク