A 2-Approximation Algorithm for Stochastic Inventory Control Models With Lost Sales

Mathematics of Operations Research - United States
doi 10.1287/moor.1070.0285
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Related search

Stochastic Inventory Models With Reworks

Yugoslav Journal of Operations Research
Management ScienceOperations Research
2018English

Optimality of State-Dependent (S, S) Policies in Inventory Models With Markov-Modulated Demand and Lost Sales

SSRN Electronic Journal
2008English

On the (S ? 1,S) Lost Sales Inventory Model With Priority Demand Classes

Naval Research Logistics
Management ScienceOcean EngineeringSimulationOperations ResearchModeling
2002English

Robustness of Order-Up-To Policies in Lost-Sales Inventory Systems

Operations Research
Management ScienceComputer Science ApplicationsOperations Research
2014English

A Tight 2-Approximation for Preemptive Stochastic Scheduling

Mathematics of Operations Research
Management ScienceComputer Science ApplicationsOperations ResearchMathematics
2014English

Determining the Fill Rate for a Periodic Review Inventory Policy With Capacitated Replenishments, Lost Sales and Zero Lead Time

Operations Research Letters
IndustrialApplied MathematicsManufacturing EngineeringManagement ScienceOperations ResearchSoftware
2013English

Optimal Inventory Policy for Deteriorating Items With Seasonal Demand Under the Effect of Price Discounting on Lost Sales

IOSR Journal of Mathematics
2017English

Inventory Control Systems for Stochastic Lead Time Demand

E3S Web of Conferences
EarthEnergyPlanetary SciencesEnvironmental Science
2018English

Note on Stochastic Inventory Models With Service Level Constraint

Journal of the Operations Research Society of Japan
Management ScienceDecision SciencesOperations Research
2006English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy