|
|
A Genetic Algorithm for Solving Integrated Multilevel Production Planning Problems |
TAN Xiao-Wei, ZHOU Hong, SHI Rui-Feng |
Beihang University, Beijing,China |
|
|
Abstract Traditional methods usually formulate and solve the integrated multilevel production planning problems with hierarchical models. Theoretically, the approaches of using a single model to describe and optimize the problem could reach much better performance, although it is quite difficult to realize the optimization process. Based on the JIT idea, a new objective function for optimization is proposed in this paper, and a single model is established which simultaneously formulates and optimizes the lot sizing and scheduling problem. A genetic algorithm is designed for solving this problem and the results are satisfying.
|
Received: 11 June 2004
|
|
|
|
|
|
|