Pub Date : 2024-01-31DOI: 10.1080/17509653.2023.2296876
N. Costa, João Lourenço
{"title":"Desirability-based post-hoc selection of Pareto solutions","authors":"N. Costa, João Lourenço","doi":"10.1080/17509653.2023.2296876","DOIUrl":"https://doi.org/10.1080/17509653.2023.2296876","url":null,"abstract":"","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140472120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-26DOI: 10.1080/17509653.2023.2285774
P. Renna
{"title":"Controllable processing times with limited resources and energy consumption in flow shops: an assessment by simulation","authors":"P. Renna","doi":"10.1080/17509653.2023.2285774","DOIUrl":"https://doi.org/10.1080/17509653.2023.2285774","url":null,"abstract":"","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139236070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-15DOI: 10.1080/17509653.2023.2267505
Wassiuzzaman Khan, Md. Saiful Islam, Niamat Ullah Ibne Hossain, Steven Fazio
ABSTRACTThis study aims to assess the economic resilience of manufacturing firms through a combination of output-oriented data envelopment analysis (DEA) and machine learning techniques. The research draws on economic resilience factors identified in the literature and focuses on three categories: economic-related factors (financial flexibility, microeconomic market, macroeconomic stability), production-related factors (restoration of production, backup inventories, resource pooling/sharing), and management-related factors (diversification of activities, good governance (management), relocation). Using DEA, a mathematical approach, the study computes and analyzes the contributions of various components to economic resilience. The results of DEA normalization indicate that the highest weighted criteria are financial flexibility, good governance (management), and resource pooling (sharing). To gain a deeper understanding of the data structure, the K-means algorithm is employed for clustering and analysis. K-means clustering is a popular exploratory data analysis technique that aims to group samples into clusters of equal variances by minimizing inertia or the sum of squares within each cluster. The combination of these techniques with sensitivity analysis provides a novel analytical approach for policy formulation and decision-making. The findings have implications for practitioners and domain experts, offering valuable insights into enhancing economic resilience in the manufacturing sector.JEL CLASSIFICATION: PRISMAKEYWORDS: Economic resiliencedata envelopment analysis (DEA)machine learning approachdecision-making unit (DMU)K-means clustering Disclosure statementNo potential conflict of interest was reported by the author(s).
{"title":"Measuring economic resilience of manufacturing organization leveraging integrated data envelopment analysis (DEA)-machine learning approach","authors":"Wassiuzzaman Khan, Md. Saiful Islam, Niamat Ullah Ibne Hossain, Steven Fazio","doi":"10.1080/17509653.2023.2267505","DOIUrl":"https://doi.org/10.1080/17509653.2023.2267505","url":null,"abstract":"ABSTRACTThis study aims to assess the economic resilience of manufacturing firms through a combination of output-oriented data envelopment analysis (DEA) and machine learning techniques. The research draws on economic resilience factors identified in the literature and focuses on three categories: economic-related factors (financial flexibility, microeconomic market, macroeconomic stability), production-related factors (restoration of production, backup inventories, resource pooling/sharing), and management-related factors (diversification of activities, good governance (management), relocation). Using DEA, a mathematical approach, the study computes and analyzes the contributions of various components to economic resilience. The results of DEA normalization indicate that the highest weighted criteria are financial flexibility, good governance (management), and resource pooling (sharing). To gain a deeper understanding of the data structure, the K-means algorithm is employed for clustering and analysis. K-means clustering is a popular exploratory data analysis technique that aims to group samples into clusters of equal variances by minimizing inertia or the sum of squares within each cluster. The combination of these techniques with sensitivity analysis provides a novel analytical approach for policy formulation and decision-making. The findings have implications for practitioners and domain experts, offering valuable insights into enhancing economic resilience in the manufacturing sector.JEL CLASSIFICATION: PRISMAKEYWORDS: Economic resiliencedata envelopment analysis (DEA)machine learning approachdecision-making unit (DMU)K-means clustering Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136185600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-23DOI: 10.1080/17509653.2023.2253187
Lina Huang
ABSTRACTThe research on the risk assessment and governance path of social media rumors is of great significance to build a harmonious network environment. This study constructs a risk assessment indicator system of social media rumors based on information ecology theory and uses entropy weight method (EWM) to calculate the weight of risk indicators. Taking data set of Sina Weibo cases as an example, this study uses grey relational analysis (GRA) to construct a risk grading model of social media rumors. Based on the hierarchical data set, this study uses fuzzy-set qualitative comparative analysis (fsQCA) to further explore the formation path of high-risk rumors. Five configuration paths are obtained and governance methods of social media rumors for the government and social media platforms are proposed.KEYWORDS: Social media rumorsrisk grading modelgovernance pathgrey relational analysis (GRA)fuzzy-set qualitative comparative analysis (fsQCA)JEL CLASSIFICATION: D01D83P16 Disclosure statementNo potential conflict of interest was reported by the author(s).
{"title":"Risk assessment and governance path of social media rumors based on GRA and FsQCA","authors":"Lina Huang","doi":"10.1080/17509653.2023.2253187","DOIUrl":"https://doi.org/10.1080/17509653.2023.2253187","url":null,"abstract":"ABSTRACTThe research on the risk assessment and governance path of social media rumors is of great significance to build a harmonious network environment. This study constructs a risk assessment indicator system of social media rumors based on information ecology theory and uses entropy weight method (EWM) to calculate the weight of risk indicators. Taking data set of Sina Weibo cases as an example, this study uses grey relational analysis (GRA) to construct a risk grading model of social media rumors. Based on the hierarchical data set, this study uses fuzzy-set qualitative comparative analysis (fsQCA) to further explore the formation path of high-risk rumors. Five configuration paths are obtained and governance methods of social media rumors for the government and social media platforms are proposed.KEYWORDS: Social media rumorsrisk grading modelgovernance pathgrey relational analysis (GRA)fuzzy-set qualitative comparative analysis (fsQCA)JEL CLASSIFICATION: D01D83P16 Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135966733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-06DOI: 10.1080/17509653.2023.2253775
Mohammad Shaerpour, Maede Azani, A. Aghsami, Masoud Rabbani
{"title":"A new fuzzy bi-objective mixed-integer linear programming for designing a medical waste management network in the Coronavirus epidemic: a case study","authors":"Mohammad Shaerpour, Maede Azani, A. Aghsami, Masoud Rabbani","doi":"10.1080/17509653.2023.2253775","DOIUrl":"https://doi.org/10.1080/17509653.2023.2253775","url":null,"abstract":"","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42726237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-09DOI: 10.1080/17509653.2023.2233457
P. M. Fruytier, M. Georgiadis
{"title":"Optimization of economic production scheduling under sales and operations constraints in consumer goods industries","authors":"P. M. Fruytier, M. Georgiadis","doi":"10.1080/17509653.2023.2233457","DOIUrl":"https://doi.org/10.1080/17509653.2023.2233457","url":null,"abstract":"","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44631971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-14DOI: 10.1080/17509653.2023.2206796
Archana Khurana
{"title":"Variants of multi-index caterer problem","authors":"Archana Khurana","doi":"10.1080/17509653.2023.2206796","DOIUrl":"https://doi.org/10.1080/17509653.2023.2206796","url":null,"abstract":"","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46979378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-14DOI: 10.1080/17509653.2023.2219904
Yanfang Ma, Yu Wang, Baoyu Li, Benjamin Lev
{"title":"An improved particle swarm optimization with particle refactor operator for perishable food delivery problems by electric vehicles","authors":"Yanfang Ma, Yu Wang, Baoyu Li, Benjamin Lev","doi":"10.1080/17509653.2023.2219904","DOIUrl":"https://doi.org/10.1080/17509653.2023.2219904","url":null,"abstract":"","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46972399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-09DOI: 10.1080/17509653.2023.2219660
Yaqin Sun, Seung-Lae Kim, Min Wang
{"title":"Price and service competition between an encroaching contract manufacturer and an original equipment manufacturer","authors":"Yaqin Sun, Seung-Lae Kim, Min Wang","doi":"10.1080/17509653.2023.2219660","DOIUrl":"https://doi.org/10.1080/17509653.2023.2219660","url":null,"abstract":"","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44098036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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