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368323

"Efficient and Versatile Methodology for Solving Solid Transportation Problem Using Excel Solver: A Comparative Study with LINGO Code"

Article

Last updated: 28 Dec 2024

Subjects

-

Tags

Industrial Engineering

Abstract

This research paper presents a novel and efficient methodology for solving the solid transportation problem (STP) using Excel Solver, a widely available and affordable software tool. The proposed approach offers versatility and rapid adjustment of constraints, making it suitable for solving multi-dimensional transportation problems. To validate the efficacy of the methodology, a numerical example is presented, illustrating the step-by-step process for finding the optimal solution. The numerical results, accompanied by figures and explanations, demonstrate the effectiveness of the proposed approach when compared to the results obtained using LINGO code.
By utilizing Excel Solver, this paper provides a user-friendly and accessible tool for researchers and practitioners seeking to solve the solid transportation problem. The methodology explains in detail how to utilize Excel Solver and formulate the problem constraints. One of the advantages of Excel Solver is its ease of use and flexibility in modifying constraints or the objective function to accommodate changing problem parameters.
The research results indicate successful solutions to the solid transportation problem using Excel Solver, with an optimal solution. The comparison with the results obtained from LINGO software confirms the effectiveness and accuracy of Excel Solver. Additionally, Excel Solver offers advantages such as providing the optimal solution directly without requiring initial solutions, as well as the availability of additional tools like macros or VBA to facilitate the solution process.

DOI

10.21608/msaeng.2023.220434.1324

Keywords

Solid Transportation Problem, Optimization, Excel Solver, LINGO

Authors

First Name

Mohamed

Last Name

H. Abdelati

MiddleName

-

Affiliation

Teaching Assistant Automotive and Tractor Eng. Dept., Minia University, Egypt.

Email

m.hilal@mu.edu.eg

City

Minia

Orcid

0000-0002-5034-7323

First Name

Ali M.

Last Name

Abd-El-Tawwab

MiddleName

-

Affiliation

Prof., and Head of Automotive and Tractor Eng. Dept., Minia University, Egypt

Email

ali-tawwab@mu.edu.eg

City

-

Orcid

-

First Name

Elsayed Elsayed

Last Name

M. Ellimony

MiddleName

-

Affiliation

Prof., Automotive and Tractor Eng. Dept., Mataria, Helwan University, Egypt

Email

ellamony@hotmail.com

City

-

Orcid

-

First Name

M.

Last Name

Rabie

MiddleName

-

Affiliation

Lecturer, Automotive and Tractor Eng. Dept., Minia University, Egypt

Email

m-rabie@mu.edu.eg

City

-

Orcid

-

Volume

3

Article Issue

1

Related Issue

44585

Issue Date

2024-06-01

Receive Date

2023-06-30

Publish Date

2024-06-01

Page Start

71

Page End

79

Print ISSN

2812-5339

Online ISSN

2812-4928

Link

https://msaeng.journals.ekb.eg/article_368323.html

Detail API

https://msaeng.journals.ekb.eg/service?article_code=368323

Order

368,323

Type

Original Article

Type Code

2,183

Publication Type

Journal

Publication Title

MSA Engineering Journal

Publication Link

https://msaeng.journals.ekb.eg/

MainTitle

"Efficient and Versatile Methodology for Solving Solid Transportation Problem Using Excel Solver: A Comparative Study with LINGO Code"

Details

Type

Article

Created At

28 Dec 2024