Two storage inventory model in a mixed environment

DOI10.1007/s10700-007-9020-zzbMath1139.90315OpenAlexW2090976267MaRDI QIDQ934700

Manas Kumar Maiti, Manoranjan Maiti

Publication date: 30 July 2008

Published in: Fuzzy Optimization and Decision Making (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10700-007-9020-z

zbMATH Keywords

Stochastic programmingNecessityGraded mean integration valuePossibilityRegion reducing genetic algorithmTwo-storage inventory

Mathematics Subject Classification ID

Stochastic programming (90C15) Approximation methods and heuristics in mathematical programming (90C59) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Inventory, storage, reservoirs (90B05) Dynamic programming (90C39)

Related Items

An EOQ model of deteriorating item in imprecise environment with dynamic deterioration and credit linked demand ⋮ Integrated inventory problem under trade credit in fuzzy random environment

Uses Software

• Genocop

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Ranking fuzzy numbers with integral value.
• Ranking fuzzy numbers in the setting of possibility theory
• Fuzzy sets and systems. Theory and applications
• Interactive multiobjective decision making by the sequential proxy optimization technique: SPOT
• Fuzzy programming and linear programming with several objective functions
• Goal programming and multiple objective optimizations. Part I
• Fuzzy sets as a basis for a theory of possibility
• Chance constrained programming with fuzzy parameters
• Optimal and heuristic inventory replenishment models for deteriorating items with exponential time-varying demand
• A deterministic order level inventory model for deteriorating items with two storage facilities
• A new tool in electrostatics using a really-coded multipopulation genetic algorithm tuned through analytical test problems
• Nearest interval approximation of a fuzzy number
• Multi-objective fuzzy inventory model for deteriorating items with shortages over a finite time horizon
• Chance-Constrained Programming
• Fuzzy logic in control systems: fuzzy logic controller. I
• A genetic algorithm for chance constrained programming
• Fuzzy sets
• Deterministic inventory model with two levels of storage, a linear trend in demand and a fixed time horizon