Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1016/j.fss.2005.06.021 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
fuzzy environment,fuzzy constraint,fuzzy inventory model,goal programming,multi-item inventory model,possibility constraint,different method,crisp equivalent,investment amount,multi-objective programming problem,inventory level-dependent demand,multi-objective genetic algorithm,satisfiability,genetic algorithm | Fuzzy constraint,Mathematical optimization,Fuzzy set operations,Fuzzy logic,Investment cost,Fuzzy programming,Goal programming,Mathematics,Genetic algorithm | Journal |
Volume | Issue | ISSN |
157 | 1 | Fuzzy Sets and Systems |
Citations | PageRank | References |
44 | 2.30 | 9 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Manas Kumar Maiti | 1 | 236 | 20.68 |
Manoranjan Maiti | 2 | 514 | 47.77 |