Paper Info
Title
Fuzzy-Rough Multi-Objective Product Blending Fixed-Charge Transportation Problem With Truck Load Constraints Through Transfer Station
Abstract
In this contribution, for the first time, an efficient model of multi-objective product blending fixed-charge transportation problem with truck load constraints through transfer station is formulated. Transfer station inserts transfer cost and type-I fixed-charge. Our aim is to analyze an extra cost that treats as type-II fixed-charge and truck load constraints in the designed model that required when the amount of items exceeds the capacity of vehicle for fulfilling the shipment by more than one trip. Type-II fixed-charge is added with transportation cost and other cost from transfer station. We consider here an important issue of the multi-objective transportation problem as product blending constraints for transporting raw materials with different purity levels for customers' satisfaction. In realistic point of view, the parameters of the model are imprecise in nature due to existing several unpredictable factors. These factors are apprehended by incorporating the fuzzy-rough environment on the parameters. Expected-value operator is utilized to derive the deterministic form of fuzzy-rough data, and the model is experienced with help of fuzzy programming, neutrosophic linear programming and global criteria method. Two numerical examples are illustrated to determine the applicability of the proposed model.
Year
DOI
Venue
2021
10.1051/ro/2020129
RAIRO-OPERATIONS RESEARCH
Keywords
DocType
Volume
Transportation problem, fixed-charge and transfer cost, truck load constraints and product blending, multi-objective optimization, fuzzy-rough uncertainty, fuzzy programming and neutrosophic linear programming, global criteria method
Journal
55
Issue
ISSN
Citations 
Supplement
0399-0559
2
PageRank 
References 
Authors
0.37
0
2
Name
Order
Citations
PageRank
Shyamali Ghosh120.37
Sankar Kumar Roy210414.63