Fuzzy inventory model with two warehouses under possibility constraints
A multi-item inventory model with two-storage facilities is developed with advertisement, price and displayed inventory level-dependent demand in a fuzzy environment (purchase cost, investment amount and storehouse capacity are imprecise). The model is formulated as a single/multi-objective programming problem under fuzzy constraint. Constraints are satisfied with some pre-defined necessity and the problem is solved via the Goal Programming Method (GPM) when crisp equivalents of the constraints are available and by a fuzzy simulation-based single/multi-objective genetic algorithm (FSGA/FSMOGA) otherwise. The model is illustrated with some numerical examples and results from different methods are compared in some particular cases. (C) 2005 Elsevier B.V. All rights reserved.
fuzzy inventory necessity genetic algorithm fuzzy simulation two-storage inventory fuzzy chance constraint programming