author Haejoong Kim 
2nd author / Sungwon Jung (Dept. of Industrial Engineering, Seoul National University)
/ Eoksu Sim (Dept. of Industrial Engineering, Seoul National University)
/ Jungsub Lee (Dept. of Industrial Engineering, Seoul National University)
/ Jinwoo Park (Dept. of Industrial Engineering, Seoul National University) 
presenter  
info Date: 2006년 07월 08일 ~ 2006년 07월 12일
City: Seattle
Nation: U.S.A.
Additional Information: 
year 2006 
category IC 
start / end date  
city / nation  
학회 GECCO 
keywords Multi-level lot sizing, Benchmark-based Genetic Algorithm, Memetic Algorithm based on Refinement Procedure 
abstract Production planning is a core function in manufacturing systems and is gaining even greater attention in supply chain environments where many mutually dependent and cooperative manufacturers are involved. Lot sizing is one of the most important and difficult problems in production planning. While optimal solution algorithms exist for this problem, only very small problems can be solved in a reasonable computation time because the problem is NP-hard.

In this paper we present a meta-heuristic approach, which we call “Memetic Algorithm based on Refinement Procedure”, to solve multi-level lot sizing (MLLS) problem. We use a local refinement procedure based on benchmarking to facilitate the solution search. The benchmark-based refinement procedure proposed by this study is also applicable to other problems where solutions are difficult to refine 
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