Title :
A multiperiod fuzzy production planning and sourcing problem with service level constraints
Author :
Lan, Yan-Fei ; Liu, Yan-Kui
Author_Institution :
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding
Abstract :
In this paper, we consider a multiperiod fuzzy production and sourcing problem that a manufacturer has a number of plants and subcontractors. The manufacturer has to meet the products demand according to the service level requirements set by its customers. The demand for each product in each period is assumed to be a fuzzy variable. Since the proposed model is too complex that the conventional optimization methods cannot be used. To solve the problem, a heuristic solution method, which combines approximation method, genetic algorithm (GA) and neural network (NN), is proposed. We provide a numerical example to illustrate the feasibility and effectiveness of the designed algorithm.
Keywords :
approximation theory; fuzzy set theory; genetic algorithms; neural nets; production engineering computing; production planning; approximation method; fuzzy variables; genetic algorithm; heuristic solution method; multiperiod fuzzy production planning; neural network; optimization method; service level constraints; service level requirements; sourcing problem; Costs; Fuzzy systems; Genetic algorithms; Job shop scheduling; Manufacturing systems; Neural networks; Possibility theory; Production planning; Subcontracting; Uncertainty; Fuzzy production planning; credibility theory; genetic algorithm; neural network; service level constraints;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620674
