@misc{10481/58442,
year = {2019},
month = {11},
url = {http://hdl.handle.net/10481/58442},
abstract = {Sustainable development is treated as the achievement of continued economic development
without detriment to environmental and natural resources. Now-a-days, in a competitive market
scenario, most of us are willing to pay less and to gain more in quickly without considering negative
externalities for the environment and quality of life for future generations. Recalling this fact,
this paper explores the study of time variant multi-objective transportation problem (MOTP) with
consideration of minimizing pollution. Time of transportation is of utmost importance in reality;
based on this consideration, we formulate a MOTP, where we optimize transportation time as well as
the cost function. The parameters of MOTP are interval-valued, so this form of MOTP is termed as a
multi-objective interval transportation problem (MOITP). A procedure is taken into consideration for
converting MOITP into deterministic form and then for solving it. Goal programming is applied to
solve the converted transportation problem. A case study is conducted to justify the methodology by
utilizing the environmental impact. At last, conclusions and future research directions are included
regarding our study.},
organization = {The research of Jose Luis Verdegay is supported in part by the project, financed with FEDER funds,
TIN2017-86647-P from the Spanish Govern.},
publisher = {MDPI},
keywords = {Transportation problem},
keywords = {Sustainability},
keywords = {Interval number},
keywords = {Time variant parameter},
keywords = {Goal programming},
title = {Time Variant Multi-Objective Interval-Valued Transportation Problem in Sustainable Development},
doi = {10.3390/su11216161},
author = {Maity, Gurupada and Kumar Roy, Sankar and Verdegay Galdeano, José Luis},
}