A Comprehensive Study of Weighted Product Model for Selecting the Best Product in Our Daily Life

Detalhes bibliográficos
Autor(a) principal: Goswami, Shankha Shubhra
Data de Publicação: 2020
Outros Autores: Behera, Dhiren Kumar, Mitra, Dr Soupayan
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Operations & Production Management (Online)
Texto Completo: https://bjopm.org.br/bjopm/article/view/875
Resumo: Goal: the main objective of this research paper is to select the best laptop model among 6 models actually available in the market by applying multiple criteria decision making methodology (MCDM) on the basis of a physical market survey and opinions of 100 people specially consists of students. Since, choosing an appropriate laptop model among thousands of different available models is quite a challenging task for the students. Design / Methodology / Approach: for this present analysis, a combined approach of analytic hierarchy process (AHP) and weighted product model (WPM) is developed. Where, AHP is used to calculate the criteria weightages and WPM is used to choose the best option and to rank the alternatives. The selection process is done based on the following seven important criteria of the laptop i.e. processor, hard disk capacity, operating system, RAM, screen size, brand, color. Results: The final outcome result shows that Model 5 is the best choice among these 6 models followed by Model 3 and Model 2 whereas model 4 is the worst one among them. The specifications of the best laptop model 5 among this group are having I5 processor, 1TB hard disk capacity, windows operating system, 8GB RAM, 15.6-inch display, HP brand and color silver. Limitations of the investigation: Since the weightages calculation and the final ranking mainly depends on the structure of the pair-wise comparison matrix (shown in Table 5) and the decision matrix (shown in Table 8), so the final results may vary based on the opinion of the other decision maker. Moreover, if the same problem is solved by applying other MCDM tools, the final output results may or may not be same. Practical implications: From this present research work, students who are willing to buy a laptop can get a general guideline about the best laptop model and their specifications in the present market. Moreover, the laptop manufacturing companies can also get some ideas about the present market scenario since this analysis is based on the actual market survey which can help to frame their future strategies. Originality / Value: Although, many literatures have been recorded related to the applications of MCDM tools in solving different decision making problems in different areas but very limited research work have been done in solving our daily life decision problems by applying MCDM.
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spelling A Comprehensive Study of Weighted Product Model for Selecting the Best Product in Our Daily LifeDecision AnalysisMulti Criteria Decision Making (MCDM)Weighted Product Model (WPM)Analytic Hierarchy Process (AHP)Laptop ModelGoal: the main objective of this research paper is to select the best laptop model among 6 models actually available in the market by applying multiple criteria decision making methodology (MCDM) on the basis of a physical market survey and opinions of 100 people specially consists of students. Since, choosing an appropriate laptop model among thousands of different available models is quite a challenging task for the students. Design / Methodology / Approach: for this present analysis, a combined approach of analytic hierarchy process (AHP) and weighted product model (WPM) is developed. Where, AHP is used to calculate the criteria weightages and WPM is used to choose the best option and to rank the alternatives. The selection process is done based on the following seven important criteria of the laptop i.e. processor, hard disk capacity, operating system, RAM, screen size, brand, color. Results: The final outcome result shows that Model 5 is the best choice among these 6 models followed by Model 3 and Model 2 whereas model 4 is the worst one among them. The specifications of the best laptop model 5 among this group are having I5 processor, 1TB hard disk capacity, windows operating system, 8GB RAM, 15.6-inch display, HP brand and color silver. Limitations of the investigation: Since the weightages calculation and the final ranking mainly depends on the structure of the pair-wise comparison matrix (shown in Table 5) and the decision matrix (shown in Table 8), so the final results may vary based on the opinion of the other decision maker. Moreover, if the same problem is solved by applying other MCDM tools, the final output results may or may not be same. Practical implications: From this present research work, students who are willing to buy a laptop can get a general guideline about the best laptop model and their specifications in the present market. Moreover, the laptop manufacturing companies can also get some ideas about the present market scenario since this analysis is based on the actual market survey which can help to frame their future strategies. Originality / Value: Although, many literatures have been recorded related to the applications of MCDM tools in solving different decision making problems in different areas but very limited research work have been done in solving our daily life decision problems by applying MCDM.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2020-05-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionResearch paperapplication/pdfhttps://bjopm.org.br/bjopm/article/view/87510.14488/BJOPM.2020.017Brazilian Journal of Operations & Production Management; Vol. 17 No. 2 (2020): June, 2020; 1-182237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/875/927Copyright (c) 2020 Shankha Shubhra Goswami, Dhiren Kumar Behera, Dr Soupayan Mitrainfo:eu-repo/semantics/openAccessGoswami, Shankha ShubhraBehera, Dhiren KumarMitra, Dr Soupayan2020-05-21T11:25:06Zoai:ojs.bjopm.org.br:article/875Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:23.528133Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv A Comprehensive Study of Weighted Product Model for Selecting the Best Product in Our Daily Life
title A Comprehensive Study of Weighted Product Model for Selecting the Best Product in Our Daily Life
spellingShingle A Comprehensive Study of Weighted Product Model for Selecting the Best Product in Our Daily Life
Goswami, Shankha Shubhra
Decision Analysis
Multi Criteria Decision Making (MCDM)
Weighted Product Model (WPM)
Analytic Hierarchy Process (AHP)
Laptop Model
title_short A Comprehensive Study of Weighted Product Model for Selecting the Best Product in Our Daily Life
title_full A Comprehensive Study of Weighted Product Model for Selecting the Best Product in Our Daily Life
title_fullStr A Comprehensive Study of Weighted Product Model for Selecting the Best Product in Our Daily Life
title_full_unstemmed A Comprehensive Study of Weighted Product Model for Selecting the Best Product in Our Daily Life
title_sort A Comprehensive Study of Weighted Product Model for Selecting the Best Product in Our Daily Life
author Goswami, Shankha Shubhra
author_facet Goswami, Shankha Shubhra
Behera, Dhiren Kumar
Mitra, Dr Soupayan
author_role author
author2 Behera, Dhiren Kumar
Mitra, Dr Soupayan
author2_role author
author
dc.contributor.author.fl_str_mv Goswami, Shankha Shubhra
Behera, Dhiren Kumar
Mitra, Dr Soupayan
dc.subject.por.fl_str_mv Decision Analysis
Multi Criteria Decision Making (MCDM)
Weighted Product Model (WPM)
Analytic Hierarchy Process (AHP)
Laptop Model
topic Decision Analysis
Multi Criteria Decision Making (MCDM)
Weighted Product Model (WPM)
Analytic Hierarchy Process (AHP)
Laptop Model
description Goal: the main objective of this research paper is to select the best laptop model among 6 models actually available in the market by applying multiple criteria decision making methodology (MCDM) on the basis of a physical market survey and opinions of 100 people specially consists of students. Since, choosing an appropriate laptop model among thousands of different available models is quite a challenging task for the students. Design / Methodology / Approach: for this present analysis, a combined approach of analytic hierarchy process (AHP) and weighted product model (WPM) is developed. Where, AHP is used to calculate the criteria weightages and WPM is used to choose the best option and to rank the alternatives. The selection process is done based on the following seven important criteria of the laptop i.e. processor, hard disk capacity, operating system, RAM, screen size, brand, color. Results: The final outcome result shows that Model 5 is the best choice among these 6 models followed by Model 3 and Model 2 whereas model 4 is the worst one among them. The specifications of the best laptop model 5 among this group are having I5 processor, 1TB hard disk capacity, windows operating system, 8GB RAM, 15.6-inch display, HP brand and color silver. Limitations of the investigation: Since the weightages calculation and the final ranking mainly depends on the structure of the pair-wise comparison matrix (shown in Table 5) and the decision matrix (shown in Table 8), so the final results may vary based on the opinion of the other decision maker. Moreover, if the same problem is solved by applying other MCDM tools, the final output results may or may not be same. Practical implications: From this present research work, students who are willing to buy a laptop can get a general guideline about the best laptop model and their specifications in the present market. Moreover, the laptop manufacturing companies can also get some ideas about the present market scenario since this analysis is based on the actual market survey which can help to frame their future strategies. Originality / Value: Although, many literatures have been recorded related to the applications of MCDM tools in solving different decision making problems in different areas but very limited research work have been done in solving our daily life decision problems by applying MCDM.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Research paper
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://bjopm.org.br/bjopm/article/view/875
10.14488/BJOPM.2020.017
url https://bjopm.org.br/bjopm/article/view/875
identifier_str_mv 10.14488/BJOPM.2020.017
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://bjopm.org.br/bjopm/article/view/875/927
dc.rights.driver.fl_str_mv Copyright (c) 2020 Shankha Shubhra Goswami, Dhiren Kumar Behera, Dr Soupayan Mitra
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Shankha Shubhra Goswami, Dhiren Kumar Behera, Dr Soupayan Mitra
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
dc.source.none.fl_str_mv Brazilian Journal of Operations & Production Management; Vol. 17 No. 2 (2020): June, 2020; 1-18
2237-8960
reponame:Brazilian Journal of Operations & Production Management (Online)
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Brazilian Journal of Operations & Production Management (Online)
collection Brazilian Journal of Operations & Production Management (Online)
repository.name.fl_str_mv Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv bjopm.journal@gmail.com
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