Fuzzy inventory model with two warehouses under possibility constraints

Authors:
Manas Kumar Maiti;Manoranjan Maiti
Affiliations:
Department of Mathematics, Mahishadal Raj College, Mahishadal, Purba-Medinipur, W.B.-721628, India;Department of Mathematics, Vidyasagar University, Paschim-Medinipur, W.B.-721102, India
Venue:
Fuzzy Sets and Systems
Year:
2006

Citing 13
Cited 13

The mean value of a fuzzy number

Fuzzy Sets and Systems - Fuzzy Numbers
A general model for fuzzy linear programming

Fuzzy Sets and Systems
Adaptation in natural and artificial systems

Adaptation in natural and artificial systems
Genetic algorithms + data structures = evolution programs (3rd ed.)

Genetic algorithms + data structures = evolution programs (3rd ed.)
Optimal pricing and lot-sizing under conditions of perishability and partial backordering

Management Science
The three semantics of fuzzy sets

Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Chance constrained programming with fuzzy parameters

Fuzzy Sets and Systems
A note on chance constrained programming with fuzzy coefficients

Fuzzy Sets and Systems
Fuzzy production inventory for fuzzy product quantity with triangular fuzzy number

Fuzzy Sets and Systems
Fuzzy Sets and Systems: Theory and Applications

Fuzzy Sets and Systems: Theory and Applications
Nearest interval approximation of a fuzzy number

Fuzzy Sets and Systems - Fuzzy intervals
Multi-objective optimization problems with fuzzy relation equation constraints

Fuzzy Sets and Systems - Special issue: Optimization and decision support systems
A fast and elitist multiobjective genetic algorithm: NSGA-II

IEEE Transactions on Evolutionary Computation

A production-inventory model with remanufacturing for defective and usable items in fuzzy-environment

Computers and Industrial Engineering
An EPQ model with price discounted promotional demand in an imprecise planning horizon via Genetic Algorithm

Computers and Industrial Engineering
Review article: A review of soft computing applications in supply chain management

Applied Soft Computing
Modeling and optimization of a purchasing system in uncertain environments by an integrated fuzzy business process simulation and data envelopment analysis: a novel approach

SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Multi-item inventory model of breakable items with stock-dependent demand under stock and time dependent breakability rate

Computers and Industrial Engineering
Review Article: One machine multiple-product problem with production-inventory system under fuzzy inequality constraint

Applied Soft Computing
Two storage inventory model with fuzzy deterioration over a random planning horizon

Mathematical and Computer Modelling: An International Journal
Inventory model with fuzzy lead-time and dynamic demand over finite time horizon using a multi-objective genetic algorithm

Computers & Mathematics with Applications
A hybrid method of fuzzy simulation and genetic algorithm to optimize constrained inventory control systems with stochastic replenishments and fuzzy demand

Information Sciences: an International Journal
Two storage inventory model of a deteriorating item with variable demand under partial credit period

Applied Soft Computing
A production-recycling model with variable demand, demand-dependent fuzzy return rate: A fuzzy differential equation approach

Computers and Industrial Engineering
A production inventory model with fuzzy production and demand using fuzzy differential equation: An interval compared genetic algorithm approach

Engineering Applications of Artificial Intelligence
A comparative analysis of power demand forecasting with artificial intelligence and traditional approach

International Journal of Business Information Systems

Quantified Score

Hi-index	0.20

Visualization

Abstract

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.