Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/26163
Title: Green logistics decision support system for blood distribution in time window
Authors: Kumar M.
Kumar, Dinesh Senthil
Published in: International Journal of Logistics Systems and Management
Abstract: During previous years, the role of green logistics in the distribution management has seen a tremendous increase due to increased focus on environmental protection, consumer environmental concern, green legislation and sustainability. This has led to an increase in recycling, reuse and emission control to reduce economic and environmental costs. In this research, a genetic algorithm-based decision support system for the route generation and comparison of the routes based on various economic and environmental cost factors. A mixed integer linear programming formulation of four vehicle routing problems with simultaneous delivery and pickup (full and partial) and time window (hard and soft) is provided and solved by genetic algorithm. The real-life data of blood distribution is used for comparing VRPSDPTW variants on the basis of their economic and environmental value. The computational results indicate that total cost is lower in the case of a full pickup with the soft time windows. The logistic organisations can use the proposed system in decision making to select an appropriate transportation scheme with lower economic and environmental costs. © 2018 Inderscience Enterprises Ltd.
Citation: International Journal of Logistics Systems and Management, 31(3): 420-447
URI: https://doi.org/10.1504/IJLSM.2018.095824
http://repository.iitr.ac.in/handle/123456789/26163
Issue Date: 2018
Publisher: Inderscience Publishers
Keywords: Blood supply chain
Environmental cost
Genetic algorithm
Green logistics
Vehicle routing
ISSN: 17427967
Author Scopus IDs: 57225851857
57212687786
Author Affiliations: Kumar, M., Department of Mechanical and Industrial Engineering, IIT Roorkee, Roorkee, 247667, India
Kumar, D., Department of Mechanical and Industrial Engineering, IIT Roorkee, Roorkee, 247667, India
Funding Details: 
Corresponding Author: Kumar, M.; Department of Mechanical and Industrial Engineering, India; email: manuksainister@gmail.com
Appears in Collections:Journal Publications [ME]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.