Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55652
Title: Dynamic advanced planning and scheduling with frozen interval for new orders
Authors: Chen, KJ
Ji, P 
Keywords: Dynamic advanced planning and scheduling
Frozen interval
Genetic algorithm
Issue Date: 2007
Publisher: Springer
Source: Chinese journal of mechanical engineering, 2007, v. 20 , no. 4, p. 117-119 How to cite?
Journal: Chinese journal of mechanical engineering 
Abstract: A dynamic advanced planning and scheduling (DAPS) problem is addressed where new orders arrive on a continuous basis. A periodic policy with frozen interval is adopted to increase stability on the shop floor. A genetic algorithm is developed to find a schedule at each rescheduling point for both original orders and new orders that both production idle time and penalties on tardiness and earliness of orders are minimized. The proposed methodology is tested on a small example to illustrate the effect of the frozen interval. The results indicate that the suggested approach can improve the schedule stability while retaining efficiency.
URI: http://hdl.handle.net/10397/55652
ISSN: 1000-9345
DOI: 10.3901/CJME.2007.04.117
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