Decision Making Advances最新文献

Hybrid Approach for COVID-19 Vaccine Distribution COVID-19 疫苗分发的混合方法

Decision Making Advances Pub Date : 2024-07-13 DOI: 10.31181/dma31202546

Amalendu Si, Sujit Das, Samarjit Kar

{"title":"Hybrid Approach for COVID-19 Vaccine Distribution","authors":"Amalendu Si, Sujit Das, Samarjit Kar","doi":"10.31181/dma31202546","DOIUrl":"https://doi.org/10.31181/dma31202546","url":null,"abstract":"Since December 2019, the entire world has become fully uncontrolled due to the critical and unpredictable nature of the COVID-19 virus. The researchers have proposed various precautionary measures to protect ourselves from it. One of the most established and acceptable tools to control the COVID-19 pandemic is vaccination. Pharmaceutical companies are trying their best to supply vaccines according to requirements within a short period. It has become a challenging task to allocate a limited quantity of vaccines among the state and union territories with respect to multiple aspects. A number of factors are involved and have various impacts on the distribution of vaccines. The impacts of the vaccine distribution factors are estimated using the parameters that are responsible for spreading the COVID-19 infection, such as population density, active cases, infection rate, and total infected persons. In this article, we propose a proportional and infection-based vaccine allocation technique to distribute the vaccine among states or union territories of India based on six COVID-19-related factors to reduce the day-wise infection rate rapidly. Accuracy rate and three distribution grades are used to measure the performance of the proposed methods. Then, a hybrid method is developed by combining the proportional and infection-based vaccine allocation techniques to improve the accuracy rate of the vaccine distribution. Finally, we compare the proportional and infection-based vaccine allocation technique with the hybrid approach, where the hybrid approach performs better.","PeriodicalId":497263,"journal":{"name":"Decision Making Advances","volume":"56 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141651710","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}

引用次数: 0

The Evolution of Blockchain Technology: Applications, Challenges, and Future Directions 区块链技术的演变：应用、挑战和未来方向

Decision Making Advances Pub Date : 2024-07-07 DOI: 10.31181/dma21202443

Surajit Mondal, S. Goswami

{"title":"The Evolution of Blockchain Technology: Applications, Challenges, and Future Directions","authors":"Surajit Mondal, S. Goswami","doi":"10.31181/dma21202443","DOIUrl":"https://doi.org/10.31181/dma21202443","url":null,"abstract":"Blockchain technology, originating with Bitcoin in 2008, has evolved significantly, expanding beyond its initial purpose of facilitating peer-to-peer transactions. This paper aims to explore the multifaceted landscape of blockchain technology and cryptocurrencies, investigating its diverse applications, challenges, future directions, and implications. The objectives include analyzing the evolution of blockchain technology, identifying its applications across industries, addressing challenges such as scalability and regulatory uncertainty, and proposing future directions for innovation. Significantly, blockchain's decentralized and immutable nature offers potential solutions to longstanding issues in finance, supply chain management, healthcare, and beyond. Motivated by the transformative potential of blockchain, stakeholders are investing in research and development to overcome challenges and harness its benefits. Implications include the need for collaboration among stakeholders to address challenges and the potential for blockchain to drive innovation and reshape industries. In conclusion, while blockchain technology faces hurdles such as scalability and regulatory uncertainty, ongoing innovation, and collaboration offer promising opportunities for realizing its full potential and achieving a decentralized digital future.","PeriodicalId":497263,"journal":{"name":"Decision Making Advances","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141670422","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}

引用次数: 0

The Exploring the Relationship between Financial Performance Indicators, ESG, and Stock Price Returns: A Rough Set-based Bipolar Approach 探索财务业绩指标、环境、社会和公司治理与股价回报之间的关系：基于粗糙集的两极方法

Decision Making Advances Pub Date : 2024-04-15 DOI: 10.31181/dma21202434

Kao Yi Shen

引用次数: 0

Developing a Sales Dashboard with Power BI – A Case Study in a Pharmaceutical Company 利用 Power BI 开发销售仪表盘 - 制药公司案例研究

Decision Making Advances Pub Date : 2024-04-06 DOI: 10.31181/dma21202438

Mariem Belghith Ep Kallel, Sana Bouajaja, Abdelkarim Elloumi

{"title":"Developing a Sales Dashboard with Power BI – A Case Study in a Pharmaceutical Company","authors":"Mariem Belghith Ep Kallel, Sana Bouajaja, Abdelkarim Elloumi","doi":"10.31181/dma21202438","DOIUrl":"https://doi.org/10.31181/dma21202438","url":null,"abstract":"A dashboard is a steering tool for data-driven decision-making and a lever for innovation in the pharmaceutical industry. It makes it possible to integrate relevant performance measurement indicators, chosen according to the objectives to be achieved and according to specific criteria. In this context, our work is inscribed, which aims to develop a dashboard for the sales department of a pharmaceutical company. The choice of this tool is motivated by its importance and the strategic challenge it presents for companies today. The implementation of this dashboard will be broken down into four phases. First, we collect sales department sales and develop the data marts. Then, to generate the data model, we have to import the database into Power BI (Microsoft Power Business Intelligent). We select the adequate KPIs (Key Performance Indicators) to create the interactive sales dashboard. This dashboard allows the decision makers to analyze and visualize data, moving from traditional sales data storage to big data analytics. Based on this visualization tool, the sales manager can propose potential improvements and essential investments and develop the management review to be presented as an annual report. This report is important for managing and monitoring pharmaceutical activities. Existing data are used and visualized to target the goals of decision-makers.","PeriodicalId":497263,"journal":{"name":"Decision Making Advances","volume":"35 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140735500","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}

引用次数: 0

Brain Tumor Detection Enhanced with Transfer Learning using SqueezeNet 使用 SqueezeNet 通过迁移学习增强脑肿瘤检测能力

Decision Making Advances Pub Date : 2024-04-06 DOI: 10.31181/dma21202432

Muhammad Daniyal Baig, H. B. U. Haq, Waseem Akram, Aamir Mushtaq Awan

引用次数: 0

Maclaurin Symmetric Mean Aggregation Operators Based on Novel Frank T-Norm and T-Conorm for Picture Fuzzy Multiple-Attribute Group Decision-Making 基于新颖的 Frank T-Norm 和 T-Conorm 的麦克劳林对称均值聚合算子，用于图片模糊多属性分组决策

Decision Making Advances Pub Date : 2024-04-06 DOI: 10.31181/dma21202423

Mehwish Sarfraz

{"title":"Maclaurin Symmetric Mean Aggregation Operators Based on Novel Frank T-Norm and T-Conorm for Picture Fuzzy Multiple-Attribute Group Decision-Making","authors":"Mehwish Sarfraz","doi":"10.31181/dma21202423","DOIUrl":"https://doi.org/10.31181/dma21202423","url":null,"abstract":"The proposed study introduces innovative Maclaurin symmetrical mean aggregation operators (MSMAO) in picture fuzzy multiple-attribute group decision-making. These operators are built upon a newly developed Frank t-norm (FTN) and t-conorm (TCN). Utilizing these novel operators aims to enhance the effectiveness of decision-making processes in scenarios characterized by picture-fuzzy information. The study explores these aggregation operators' potential applications and advantages within the context of multiple-attribute group decision-making under uncertainty. As a novel method to handle MAGDM difficulties, we build these aggregation operators (AOs) on PFs in this paper by utilizing the FTN and TCN under PFs information. In addition, PF values (PFVs) and their fundamental operations are created and shown. Picture fuzzy Frank weighted Maclaurin symmetrical mean (MFFWMSM) and Picture fuzzy Frank Maclaurin symmetrical mean (MFFMSM) operators are two AOs introduced and studied based on these operations. The induction approach theoretically and quantitatively verifies the newly created AOs' accuracy and dependability. The problem of project evaluation utilizing these proposed operators is thoroughly examined to provide further applications and investigate the sensitivity of these PS Frank (PFF) operators. The outcomes of employing these PFF operators are contrasted with a few AOs of PFVs that were previously in existence. The suggested strategy is dependable and effective based on comparison outcomes.","PeriodicalId":497263,"journal":{"name":"Decision Making Advances","volume":"41 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140734003","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}

引用次数: 0

Ranking Performance of MARCOS Method for Location Selection Problem in the Presence of Conflicting Criteria 有冲突标准时 MARCOS 方法在地点选择问题上的排序性能

Decision Making Advances Pub Date : 2024-04-06 DOI: 10.31181/dma21202435

Ahmed El-Araby, Ibrahim Sabry, A. El-Assal

{"title":"Ranking Performance of MARCOS Method for Location Selection Problem in the Presence of Conflicting Criteria","authors":"Ahmed El-Araby, Ibrahim Sabry, A. El-Assal","doi":"10.31181/dma21202435","DOIUrl":"https://doi.org/10.31181/dma21202435","url":null,"abstract":"The selection of the best location for a facility is generally a complex process especially when considering multiple criteria in the selection process. The costs associated with purchasing the land and related constructions makes the location selection problem a long-term investment decision. Hence, the problem should be analysed carefully with a reliable approach to avoid the consequences that follows awkward decisions. Many multiple criteria decision-making (MCDM) methods are developed recently which made the selection of a suitable MCDM method has become a confusing decision. In this study, measurement alternatives and ranking according to compromise solution (MARCOS) method is used to solve a location selection problem with conflicting criteria. The ranking produced by MARCOS method is analysed by a comparison with other common MCDM methods and a sensitivity analysis. The aim of the comparison to show that the method agreed the choice of the best alternative while the sensitivity analysis is employed to check the robustness and efficiency of this method. The sensitivity analysis includes the sensitivity of weight test and rank reversal (RR) test. The comparison of ranking with different methods showed that MARCOS method has strong ranking correlation with other methods. Moreover, the sensitivity analysis showed the reliability and robustness of MARCOS method as it produced high consistency of ranking through the tests. Thus, this study validates the applicability of MARCOS method to handle the presence of conflicting criteria in location selection problems.","PeriodicalId":497263,"journal":{"name":"Decision Making Advances","volume":"41 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140734012","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}

引用次数: 0

Optimizing Priority Sequencing Rules in Parallel Machine Scheduling: An Evaluation and Selection Approach using Hybrid MCDM Techniques 优化并行机器调度中的优先排序规则：使用混合 MCDM 技术的评估和选择方法

Decision Making Advances Pub Date : 2024-01-05 DOI: 10.31181/dma21202422

Ibrahim Badi, Mouhamed Bayane Bouraima, Yanjun Qiu, Željko Stević

{"title":"Optimizing Priority Sequencing Rules in Parallel Machine Scheduling: An Evaluation and Selection Approach using Hybrid MCDM Techniques","authors":"Ibrahim Badi, Mouhamed Bayane Bouraima, Yanjun Qiu, Željko Stević","doi":"10.31181/dma21202422","DOIUrl":"https://doi.org/10.31181/dma21202422","url":null,"abstract":"Priority sequencing criteria are of utmost importance in the determination of the sequence in which jobs are processed at workstations in parallel machine scheduling. The utilization of diverse priority rules can result in varied sequencing arrangements, hence requiring more experimentation to ascertain the optimal rule. Hence, it is imperative to formulate a thorough approach for the selection of the most suitable priority sequencing rule from the standpoint of management decision-making. The objective of this research is to analyze and compare six different priority sequencing rules in the context of parallel machine scheduling. Additionally, a methodology is proposed for the assessment and selection of the most suitable rule. This methodology combines the full consistency method (FUCOM) with the measurement of alternatives and ranking according to compromise solution (MARCOS) method, which are both multi-criteria decision-making techniques. When reviewing and selecting the optimal priority sequencing rule, seven parameters are taken into consideration. The weights of these criteria are computed using the FUCOM method, while the relative proximity values of all priority sequencing rules are derived by the MARCOS method. The data indicate that the priority sequencing rules are prioritized according to their level of importance. The approach outlined in this study is essential for workstation management to make well-informed decisions regarding the choice of the most advantageous priority sequencing rule for parallel machine scheduling.","PeriodicalId":497263,"journal":{"name":"Decision Making Advances","volume":"19 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139382875","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}

引用次数: 0

Supplier Selection in the Age of Industry 4.0: A Review on MCDM Applications and Trends 工业 4.0 时代的供应商选择：MCDM 应用与趋势综述

Decision Making Advances Pub Date : 2024-01-05 DOI: 10.31181/dma21202420

S. K. Sahoo, Shankha Shubhra Goswami, Rohit Halder

{"title":"Supplier Selection in the Age of Industry 4.0: A Review on MCDM Applications and Trends","authors":"S. K. Sahoo, Shankha Shubhra Goswami, Rohit Halder","doi":"10.31181/dma21202420","DOIUrl":"https://doi.org/10.31181/dma21202420","url":null,"abstract":"The advent of Industry 4.0 has triggered a profound transformation in manufacturing and supply chain management, necessitating the adaptation of supplier selection processes to this evolving technological landscape. This comprehensive review paper places a significant focus on the role of multi-criteria decision-making (MCDM) methodologies and emerging trends in the context of supplier selection within Industry 4.0. It underscores the critical importance of effective supplier selection in achieving operational excellence and bolstering supply chain resilience in this new era, exploring the challenges and opportunities presented by technological advances such as the Internet of Things, big data analytics, artificial intelligence, and advanced manufacturing techniques. The paper looks into the theoretical underpinnings of MCDM techniques, highlighting their suitability for addressing the complex, multi-dimensional criteria associated with supplier selection. As a valuable resource, this study caters to researchers, practitioners, and decision-makers navigating the intricate landscape of supplier selection within the dynamic area of Industry 4.0, emphasizing the pivotal role of MCDM methodologies and the ever-evolving dynamics shaping supplier selection processes in the digital age.","PeriodicalId":497263,"journal":{"name":"Decision Making Advances","volume":"59 44","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139381874","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}

引用次数: 1

From Ambiguity to Clarity: Unraveling the Power of Similarity Measures in Multi-Polar Interval-Valued Intuitionistic Fuzzy Soft Sets 从模糊到清晰：揭示多极区间值直觉模糊软集合中相似性测量的力量

Decision Making Advances Pub Date : 2024-01-05 DOI: 10.31181/dma21202421

Muhammad Saqlain, M. Saeed

{"title":"From Ambiguity to Clarity: Unraveling the Power of Similarity Measures in Multi-Polar Interval-Valued Intuitionistic Fuzzy Soft Sets","authors":"Muhammad Saqlain, M. Saeed","doi":"10.31181/dma21202421","DOIUrl":"https://doi.org/10.31181/dma21202421","url":null,"abstract":"The utilization of similarity measures in the context of multi-polar interval-valued intuitionistic fuzzy soft sets (mPIVIFSS) is a significant theoretical approach that offers a valuable structure for tackling intricate situations that are characterized by imprecise information and uncertainty. Nevertheless, these issues frequently entail conditions that are not limited in scope and exhibit a considerable level of uncertainty in scenarios involving multiple dimensions, hence presenting substantial difficulties. The objective of this research study is to provide a comprehensive understanding of similarity measures in the context of mPIVIFSS. Additionally, we will examine several operations, such as complement, subset, union, intersection, AND, OR, and De-Morgan’s Laws, as they relate to mPIVIFSS. This study not only includes theoretical debates but also explores practical applications. These efforts contribute to the improvement of decision-making, pattern recognition, and data analysis in settings characterized by ambiguous and uncertain information, hence emphasizing the importance of similarity measures in efficiently addressing multi-dimensional problems.","PeriodicalId":497263,"journal":{"name":"Decision Making Advances","volume":"17 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139383751","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}

引用次数: 0