Modern Manufacturing Engineering ›› 2017, Vol. 438 ›› Issue (3): 116-121.doi: 10.16731/j.cnki.1671-3133.2017.03.020

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Multi-node flow-line manufacturing shop order acceptance and scheduling

Song Lijun1,2, Xiang Bo2, Li Pan2   

  1. 1 National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067,China
    2 School of Mechanical Engineering,Chongqing University of Technology,Chongqing 400054,China
  • Received:2015-10-16 Online:2017-03-18 Published:2018-01-08

Abstract: In the Just-In-Time(JIT) mode development background,order delivery delay punishment and product inventory costs by more and more attention.To solve the balance problems delayed punishment orders and inventory costs between the limited capacity preconditions,to establish a total maximum profit integrated decision method of order acceptance and scheduling.Using on an improved double-coded genetic algorithm to solve the model.Finally,examples of verification,by comparison with several order selection heuristic rules,and improve before and contrast the improved algorithm,respectively demonstrate the effectiveness and feasibility of the model and algorithm.

Key words: order acceptance and scheduling, improved genetic algorithm, multi-node flowshop, delay punishment and inventory costs

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