Solving Multi-Objective Transportation Problem to reduce Transportation cost and Time
Gaurav Sharma
Abstract
Open-access reader
Gaurav Sharma
Abstract
Open-access reader
In this paper we study the multi-objective transportation problem for Procter & Gamble to reduce transportation cost and time of goods supply from one source to another source. To solve this problem we are using a new proposed algorithm which is different form to another existing method. This proposed method providing the support to decision makers for handling time oriented problems.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this paper we study the multi-objective transportation problem for Procter & Gamble to reduce transportation cost and time of goods supply from one source to another source. To solve this problem we are using a new proposed algorithm which is different form to another existing method. This proposed method providing the support to decision makers for handling time oriented problems.
Key concepts: Transportation theory, Mathematical optimization, Mathematics, Operations research