A Robust Optimization Approach for an Inventory Problem With Emergency Ordering and Product Substitution in an Uncertain Environment: A Case Study in Pharmaceutical Industry

Scientia Iranica
doi 10.24200/sci.2017.4133
Full Text
Abstract

Available in full text

Date
Authors
Publisher

SciTech Solutions

Related search

A Robust Optimization Approach to Inventory Theory

Operations Research
Management ScienceComputer Science ApplicationsOperations Research
2006English

Fuzzy Optimization With Robust Logistic Membership Function: A Case Study in for Home Textile Industry

IFAC Proceedings Volumes
2008English

A Novel Approach to Improving Coagulation Sample Ordering in an Emergency Department

BMJ Quality Improvement Reports
2015English

Robust Inventory Management: An Optimal Control Approach

Operations Research
Management ScienceComputer Science ApplicationsOperations Research
2018English

Micronutrients as an Innovation Opportunity for the Pharmaceutical Industry: A Case Study of Vitamin D in Brazil

Food Science and Nutrition Studies
2017English

A Minmax Approach to Adaptive Matched Field Processing in an Uncertain Propagation Environment

IEEE Transactions on Signal Processing
Electronic EngineeringSignal ProcessingElectrical
1994English

An Improved Constrained Order Optimization Algorithm for Uncertain SCUC Problem Solving

Energies
ControlElectronic EngineeringEnergy EngineeringRenewable EnergyEnergyFuel TechnologySustainabilityOptimizationElectricalPower Technologythe Environment
2019English

Life Cycle Management in the Pharmaceutical Industry Using an Applicable and Robust LCA-Based Environmental Sustainability Assessment Approach

2018English

A Tri-Level Optimization Model for Inventory Control With Uncertain Demand and Lead Time

International Journal of Production Economics
ManagementBusinessEconomicsManufacturing EngineeringManagement ScienceIndustrialAccountingEconometricsOperations Research
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy