TARU PUBLICATIONS
Author

Vishwas Deep Joshi

Department of Mathematics Faculty of Science JECRC University, Jaipur, Rajasthan, 303905, India

Published papers
7
Citations
5
Views
982
Downloads
48

Publications

7 papers
Open Access Research Article·pp. 1539–1555·Vol. 47, Issue 4Apr 2026

Solid transportation problem : A Lagrange’s interpolation polynomial strategy for handling improbability and multi-objective decision-making

Vishwas Deep Joshi, Medha Sharma, Huda Alsaud, Shrddha, Sapna Tyagi

Published Online: 01 Apr 2026DOI: 10.47974/JIOS-2161

In this paper: Mathematical optimization problems that simultaneously take into account several, typically conflicting, transportation planning objectives are known as multi-objective transportation problems (MOTPs)...

AbstractReferencesFull Text PDF (821 KB)Views: 65Downloads: 6Citations: 0
Open Access Research Article·pp. 755–760·Vol. 46, Issue 3Apr 2025

Strategic planning for addressing the multi-option parameters for sustainable decision-making in multi-objective solid transportation problem

Vishwas Deep Joshi, Medha Sharma, Reem K. Alhefthi, Mahesh Purohit

Published Online: 01 Apr 2025DOI: 10.47974/JIOS-1793

In this paper: This study focuses on the multi-option multi-objective solid transportation problem (MOMOSTP). Multi-option parameters describe the problem parameters, such as the objective function’s cost coefficien...

AbstractReferencesFull Text PDF (433 KB)Views: 184Downloads: 5Citations: 0
Open Access Research Article·pp. 761–766·Vol. 46, Issue 3Apr 2025

Optimal route planning for multi-level multi-choice transportation problem with uncertain parameters using Lagrange’s interpolating polynomial

Vishwas Deep Joshi, Medha Sharma, Reem K. Alhefthi, Mahesh Purohit

Published Online: 01 Apr 2025DOI: 10.47974/JIOS-1794

In this paper: This study introduces a multi-level multi-choice multi-objective linear transportation problem (ML-MCMOLTP) that involves uncertain variables. Multi-level programming addresses scenarios in which mult...

AbstractReferencesFull Text PDF (450 KB)Views: 171Downloads: 5Citations: 0
Open Access Research Article·pp. 767–771·Vol. 46, Issue 3Apr 2025

Enhancing decision-making in multi-objective fractional transportation problems : A neutrosophic goal programming framework

Vishwas Deep Joshi, Priya Agarwal

Published Online: 01 Apr 2025DOI: 10.47974/JIOS-1795

In this paper: This study presents an innovative solution for the optimization of Multi-Objective Fractional Transportation Problems (MOFTP) which is a key challenge in modern logistics and supply chain management....

AbstractReferencesFull Text PDF (395 KB)Views: 88Downloads: 9Citations: 0
Open Access Research Article·pp. 2107–2128·Vol. 45, Issue 8Nov 2024

Ensuring efficient health care delivery : Addressing uncertainties through mixed-constraints fractional transportation

Vishwas Deep Joshi, Priya Agarwal, Huda Alsaud

Published Online: 30 Nov 2024DOI: 10.47974/JIOS-1766

In this paper: Healthcare requires efficient delivery of supplies, but things often change unexpectedly. In the field of healthcare logistics, transportation efficiency plays a fateful role in ensuring the timely de...

AbstractReferencesFull Text PDF (696 KB)Views: 138Downloads: 5Citations: 1
Open Access Research Article·pp. 121–132·Vol. 26, Issue 1Jan 2023

A new solution procedure for multi-objective linear fractional transportation problem with rough parameters

Vishwas Deep Joshi, Saurabh Singh Naharwar, Jagdev Singh, K. S. Nisar

Published Online: 31 Jan 2023DOI: 10.47974/JIM-1651

In this paper: In this article, we are discussing a rough multi-objective linear fractional transportation problem (RMOLFTP). In Day-to-day life, we frequently encounter many situations where the transportation prob...

AbstractReferencesFull Text PDF (174 KB)Views: 170Downloads: 9Citations: 2
Open Access Research Article·pp. 133–143·Vol. 26, Issue 1Jan 2023

An improved solution approach for solving multi-objective linear and linear fractional transportation problem

Vishwas Deep Joshi, Saurabh Singh Naharwar, Jagdev Singh, K. S. Nisar

Published Online: 31 Jan 2023DOI: 10.47974/JIM-1652

In this paper: This work shows a transportation problem (TP) that can be thought of as the sum of a linear function and a linear fractional function. Here, the linear function shows the total transportation cost, an...

AbstractReferencesFull Text PDF (167 KB)Views: 166Downloads: 9Citations: 2