Economic and Environmental Considerations in a Continuous Review Inventory Control System with Integrated Transportation Decisions
Abstract
Sustainability throughout supply chains is gaining more importance and re-planning inventory operations can help companies curb emissions. In this study, we present two bi-objective integrated continuous review inventory control and transportation models with less-than-truckload and truckload carriers. Solution methods to approximate the Pareto Frontiers are proposed. Numerical studies illustrate the effects of demand variance and lead time on expected costs and carbon emissions as well as the changes in expected costs and carbon emissions due to sustainability considerations. Sample examples illustrate the use of the methods to compare different carriers in terms of not only economic but also environmental considerations.
Recommended Citation
B. Schaefer and D. Konur, "Economic and Environmental Considerations in a Continuous Review Inventory Control System with Integrated Transportation Decisions," Transportation Research Part E: Logistics and Transportation Review, vol. 80, pp. 142 - 165, Elsevier, Aug 2015.
The definitive version is available at https://doi.org/10.1016/j.tre.2015.05.006
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Carbon emission; Demand analysis; Emission control; Emission inventory; Environmental economics; Integrated approach; Stochasticity; Sustainability; Transportation safety; Inventory control; Stochastic demand; Transportation
International Standard Serial Number (ISSN)
1366-5545
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 Elsevier, All rights reserved.
Publication Date
01 Aug 2015
Comments
This study has been partially supported by the University of Missouri Inter-Disciplinary Inter-Campus research program and the U.S. Department of Transportation through the National University Transportation Center at Missouri University of Science and Technology under Project # 00043159.