Cargando…

A Linear Programming Methodology to Optimize Decision-Making for Ready-Mixed Cement Products: a Case Study on Egypt’s New Administrative Capital

Egypt has started constructing its New Administrative Capital since 2015. The new capital was designed to meet smart city standards, which presents a challenge for businesses to make the optimum business decisions given the set budget for such a project. As a result, reaching the optimum solution fo...

Descripción completa

Detalles Bibliográficos
Autores principales: Mawgoud, Ahmed A., Taha, Mohamed Hamed N., Khalifa, Nour Eldeen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483369/
http://dx.doi.org/10.1007/s41660-022-00282-y
_version_ 1784791656040497152
author Mawgoud, Ahmed A.
Taha, Mohamed Hamed N.
Khalifa, Nour Eldeen
author_facet Mawgoud, Ahmed A.
Taha, Mohamed Hamed N.
Khalifa, Nour Eldeen
author_sort Mawgoud, Ahmed A.
collection PubMed
description Egypt has started constructing its New Administrative Capital since 2015. The new capital was designed to meet smart city standards, which presents a challenge for businesses to make the optimum business decisions given the set budget for such a project. As a result, reaching the optimum solution for allocating the needed materials to each building became important. Many researchers have considered the theory of constraints in their studies to determine the optimum product mix. Frequently, research considers the target of profit maximization to reach the optimum solution with one scenario. In this paper, we aim to solve the problem of product mix in cement production, which organizations face. The problem was formulated based on a case study in Egypt with two linear programming approaches. For this problem, many scenarios were presented under the consideration of two aspects, which are resource utilization and productivity. Data visualization was used in this paper to simplify the procedure of decision-making. Also, a dashboard web application was made for the decision makers to make it easier to create, analyze, and see different business scenarios.
format Online
Article
Text
id pubmed-9483369
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Nature Singapore
record_format MEDLINE/PubMed
spelling pubmed-94833692022-09-19 A Linear Programming Methodology to Optimize Decision-Making for Ready-Mixed Cement Products: a Case Study on Egypt’s New Administrative Capital Mawgoud, Ahmed A. Taha, Mohamed Hamed N. Khalifa, Nour Eldeen Process Integr Optim Sustain Original Research Paper Egypt has started constructing its New Administrative Capital since 2015. The new capital was designed to meet smart city standards, which presents a challenge for businesses to make the optimum business decisions given the set budget for such a project. As a result, reaching the optimum solution for allocating the needed materials to each building became important. Many researchers have considered the theory of constraints in their studies to determine the optimum product mix. Frequently, research considers the target of profit maximization to reach the optimum solution with one scenario. In this paper, we aim to solve the problem of product mix in cement production, which organizations face. The problem was formulated based on a case study in Egypt with two linear programming approaches. For this problem, many scenarios were presented under the consideration of two aspects, which are resource utilization and productivity. Data visualization was used in this paper to simplify the procedure of decision-making. Also, a dashboard web application was made for the decision makers to make it easier to create, analyze, and see different business scenarios. Springer Nature Singapore 2022-09-19 2023 /pmc/articles/PMC9483369/ http://dx.doi.org/10.1007/s41660-022-00282-y Text en © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research Paper
Mawgoud, Ahmed A.
Taha, Mohamed Hamed N.
Khalifa, Nour Eldeen
A Linear Programming Methodology to Optimize Decision-Making for Ready-Mixed Cement Products: a Case Study on Egypt’s New Administrative Capital
title A Linear Programming Methodology to Optimize Decision-Making for Ready-Mixed Cement Products: a Case Study on Egypt’s New Administrative Capital
title_full A Linear Programming Methodology to Optimize Decision-Making for Ready-Mixed Cement Products: a Case Study on Egypt’s New Administrative Capital
title_fullStr A Linear Programming Methodology to Optimize Decision-Making for Ready-Mixed Cement Products: a Case Study on Egypt’s New Administrative Capital
title_full_unstemmed A Linear Programming Methodology to Optimize Decision-Making for Ready-Mixed Cement Products: a Case Study on Egypt’s New Administrative Capital
title_short A Linear Programming Methodology to Optimize Decision-Making for Ready-Mixed Cement Products: a Case Study on Egypt’s New Administrative Capital
title_sort linear programming methodology to optimize decision-making for ready-mixed cement products: a case study on egypt’s new administrative capital
topic Original Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483369/
http://dx.doi.org/10.1007/s41660-022-00282-y
work_keys_str_mv AT mawgoudahmeda alinearprogrammingmethodologytooptimizedecisionmakingforreadymixedcementproductsacasestudyonegyptsnewadministrativecapital
AT tahamohamedhamedn alinearprogrammingmethodologytooptimizedecisionmakingforreadymixedcementproductsacasestudyonegyptsnewadministrativecapital
AT khalifanoureldeen alinearprogrammingmethodologytooptimizedecisionmakingforreadymixedcementproductsacasestudyonegyptsnewadministrativecapital
AT mawgoudahmeda linearprogrammingmethodologytooptimizedecisionmakingforreadymixedcementproductsacasestudyonegyptsnewadministrativecapital
AT tahamohamedhamedn linearprogrammingmethodologytooptimizedecisionmakingforreadymixedcementproductsacasestudyonegyptsnewadministrativecapital
AT khalifanoureldeen linearprogrammingmethodologytooptimizedecisionmakingforreadymixedcementproductsacasestudyonegyptsnewadministrativecapital