Title :
Job release under due date constraints in job shops with time-varying product mix
Author :
Tao Zhang ; Rose, Oliver
Author_Institution :
Dept. of Comput. Sci., Univ. der Bundeswehr Munchen, Neubiberg, Germany
Abstract :
Job shops produce products on the basis of manufacturing orders which specify the due date and the volume. The orders accepted by the shop floor are put into a job pool. The job release decides when to start each job in the pool. It attempts not only to balance this time-varying demand against available capacity, but also manages to meet the due date constraints. The general job release policies, such as output-based or workload-based policies, have poor due date performance. A multi-time-periods release policy is proposed to match the time-varying demand. The due date pressure is distributed to every period. In each time period a near optimal short-term throughput of each product is obtained by an optimization model. The optimization problem is solved by an improved ant colony algorithm. In iteration processes of the algorithm ants are evaluated by the simulation which involves the setup and breakdown of machines.
Keywords :
ant colony optimisation; iterative methods; job shop scheduling; order processing; time-varying systems; algorithm ant; ant colony algorithm; due date constraint; due date performance; due date pressure; iteration process; job pool; job release policy; job shop; manufacturing order; multitime-period release policy; near optimal short-term throughput; output-based policy; shop floor; time-varying demand; time-varying product mix; workload-based policy; Job shop scheduling; Manufacturing; Optimization; Planning; Resource management; Throughput; Time measurement;
Conference_Titel :
Simulation Conference (WSC), 2014 Winter
Conference_Location :
Savanah, GA
Print_ISBN :
978-1-4799-7484-9
DOI :
10.1109/WSC.2014.7020065