This paper investigates lot sizing production planning problem with fuzzy unit profits, fuzzy capacities and fuzzy demands. First, the fuzzy production planning problem is formulated as a credibility measure based fuzzy programming model. Second, the crisp equivalent model is derived when the fuzzy parameters are characterized by trapezoidal fuzzy numbers. Then a fuzzy simulation-based genetic algorithm is designed for solving the proposed fuzzy programming model as well as its crisp equivalent. Finally, a numerical example is provided for illustrating the effectiveness of algorithm. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Yan, W., Zhao, J., & Cao, Z. (2005). Fuzzy programming model for lot sizing production planning problem. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3613, pp. 285–294). Springer Verlag. https://doi.org/10.1007/11539506_36
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