Decision Making Applications in Management and Engineering最新文献_第4页

The significance of warehouse management in supply chain: An ISM approach 仓库管理在供应链中的意义：一种ISM方法

Decision Making Applications in Management and Engineering Pub Date : 2023-04-15 DOI: 10.31181/dmame0321052022v

Ashutosh Verma, S. Tripathy, D. Singhal

{"title":"The significance of warehouse management in supply chain: An ISM approach","authors":"Ashutosh Verma, S. Tripathy, D. Singhal","doi":"10.31181/dmame0321052022v","DOIUrl":"https://doi.org/10.31181/dmame0321052022v","url":null,"abstract":"Warehouse management is the key aspect for an uninterrupted flow of products within a supply chain. This paper deals with the critical factors that are responsible for creating an impactful influence on the working of warehouse management. The analysis involves the selection of critical factors then applying Interpretive Structural Modelling (ISM) methodology to them in order to get the level partition and final ISM model. This research also involves the MICMAC analysis on the factors which classifies all the selected factors into four groups namely, autonomous variables, dependent variables, linkage variables and driver variables. This research will help the supply chain architects to establish a better and reliable warehouse system. As this research involves analysis of multiple domains that is why a variety of users can refer to this work for their businesses, also the ISM approach gives a good accuracy of the hierarchy of the factors which helps in deciding the most effective chronology of the implementation of various warehousing operations. Researchers can also refer to this work to get insights of the significance of warehouse management in the supply chain and also the complete working of the ISM methodology.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48609711","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

Sustainable resilient supplier selection for IoT implementation based on the integrated BWM and TRUST under spherical fuzzy sets 球形模糊集下基于BWM和TRUST集成的物联网可持续弹性供应商选择

Decision Making Applications in Management and Engineering Pub Date : 2023-04-15 DOI: 10.31181/dmame12012023b

Shabnam Rahnamay Bonab, Gholamreza Haseli, Hamed Rajabzadeh, Saeid Jafarzadeh Ghoushchi, M. H. Keshteli, Hana Tomásková

{"title":"Sustainable resilient supplier selection for IoT implementation based on the integrated BWM and TRUST under spherical fuzzy sets","authors":"Shabnam Rahnamay Bonab, Gholamreza Haseli, Hamed Rajabzadeh, Saeid Jafarzadeh Ghoushchi, M. H. Keshteli, Hana Tomásková","doi":"10.31181/dmame12012023b","DOIUrl":"https://doi.org/10.31181/dmame12012023b","url":null,"abstract":"Supplier selection process plays a vital role in supply chain management and is the most important variable in its success. With increasing environmental considerations, organizations must consider sustainability considerations and economic goals to protect the environment. Furthermore, the destructive effects of disruptions on the supply chain performance of companies have prompted organizational experts to pay special attention to the concept of resilience. This study developed an integrated approach based on the extended version of Multi-Criteria Decision-Making (MCDM) methods in a spherical fuzzy (SFS) environment to address sustainable and resilient IoT supplier selection. In the proposed approach, the main criteria (i.e., resilience, and sustainability) have been used in the supplier selection process. Then, these criteria are weighted using the developed SFS-Best-Worst Method (BWM), which reduces uncertainty in pairwise comparisons. In the next step, the 14 selected IoT suppliers are evaluated and prioritized by applying SFS-mulTi-noRmalization mUlti-Distance aSsessmenT (TRUST) that considers a multi-normalization algorithm to reduce subjectivity in normalized data. The results of this study shows that the pollution control and risk-taking sub-criteria are placed in the first and second priorities, respectively. The comparison of the results of the SFS-TRUST with other MCDM methods and sensitivity analysis demonstrates the performance of the proposed approach and its ranking stability in various scenarios.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42696293","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: 9

Hybrid MCDM method on pythagorean fuzzy set and its application 毕达哥拉斯模糊集的混合MCDM方法及其应用

Decision Making Applications in Management and Engineering Pub Date : 2023-04-15 DOI: 10.31181/dmame0306102022c

Rishikesh Chaurasiya, D. Jain

引用次数: 12

The contagion number: How fast can a disease spread? 传染数:疾病传播的速度有多快?

Decision Making Applications in Management and Engineering Pub Date : 2023-04-15 DOI: 10.31181/dmame060128022023b

Misty Blessley, Randy Davila, T. Hale, R. Pepper

{"title":"The contagion number: How fast can a disease spread?","authors":"Misty Blessley, Randy Davila, T. Hale, R. Pepper","doi":"10.31181/dmame060128022023b","DOIUrl":"https://doi.org/10.31181/dmame060128022023b","url":null,"abstract":"The burning number of a graph models the rate at which a disease, information, or other externality can propagate across a network. The burning number is known to be NP-hard even for a tree. Herein, we define a relative of the burning number that we coin the contagion number (CN). We aver that the CN is a better metric to model disease spread than the burning number as it only counts first time infections (i.e., constrains a node from getting the same disease/same variant/same alarm more than once). This is important because the Centers for Disease Control and Prevention report that COVID-19 reinfections are rare. This paper delineates a method to solve for the contagion number of any tree, in polynomial time, which addresses how fast a disease could spread (i.e., a worst-cast analysis) and then employs simulation to determine the average contagion number (ACN) (i.e., a most-likely analysis) of how fast a disease would spread. The latter is analyzed on scale-free graphs, which are used to model human social networks generated through a preferential attachment mechanism. With CN differing across network structures and almost identical to ACN, our findings advance disease spread understanding and reveal the importance of network structure. In a borderless world without replete resources, understanding disease spread can do much to inform public policy and managerial decision makers’ allocation decisions. Furthermore, our direct interactions with supply chain executives at two COVID-19 vaccine developers provided practical grounding on what the results suggest for achieving social welfare objectives.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48900504","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

Evaluation of the social-cultural competitiveness of cities based on sustainable development approach 基于可持续发展方法的城市社会文化竞争力评价

Decision Making Applications in Management and Engineering Pub Date : 2023-04-15 DOI: 10.31181/dmame06012023k

H. Komasi, S. Zolfani, Ali Nemati

{"title":"Evaluation of the social-cultural competitiveness of cities based on sustainable development approach","authors":"H. Komasi, S. Zolfani, Ali Nemati","doi":"10.31181/dmame06012023k","DOIUrl":"https://doi.org/10.31181/dmame06012023k","url":null,"abstract":"The terms of competitiveness at the level of places and sustainable development were created in the 1980s and 1990s. In the beginning, most researchers emphasized the dimension of economic competitiveness, but in recent decades, other aspects of competitiveness, such as socio-cultural and environmental, have been highlighted. The aim of the present research is evaluation the social-cultural competitiveness in the city of Kermanshah based on a sustainable development approach. This research is descriptive and analytical, the TOPSIS model was used for data analysis, and Entropy was used to weight the indicators. After applying the weight of the indicators in the TOPSIS model, The research findings showed that the city of Kermanshah in the TOPSIS model, ranks 15th with a coefficient of 0.209; in the MABAC model, ranks 14th with a coefficient of -0.116 and in the EDAS model, ranks 14th with a coefficient of 0.122579271 is in the last and 14th position of socio-cultural competitiveness. The results showed that; Considering the nature of urban competitiveness, which is multidimensional, it is necessary to avoid a one-sided approach in urban competitiveness planning and to consider the socio-cultural, environmental, and security dimensions of urban competitiveness in an integrated manner. To improve the competitiveness of Iranian cities, while paying attention to the internal competitive advantages of the 15 studied cities, special attention should be paid to the fields of economic, environmental, socio-cultural, and security competitiveness. Each of these cities concerns their competitive role in transnational dimensions. This requires special attention to the national macro-plans.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49489437","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: 9

Reliability based framework for failure analysis in milk process industry 基于可靠性的牛奶加工失效分析框架

Decision Making Applications in Management and Engineering Pub Date : 2023-04-15 DOI: 10.31181/dmame24022023g

Nand Gopal, Dilbagh Panchal

引用次数: 1

Hazard perception test among young inexperienced drivers and risk analysis while driving through a T-junction 缺乏经验的年轻驾驶员的危险感知测试和通过T形路口时的风险分析

Decision Making Applications in Management and Engineering Pub Date : 2023-04-15 DOI: 10.31181/dmame181221015k

Md Faysal Kabir, Sahadev Roy

引用次数: 0

Association rule mining for prediction of COVID-19 用于新冠肺炎预测的关联规则挖掘

Decision Making Applications in Management and Engineering Pub Date : 2023-04-15 DOI: 10.31181/dmame0317102022r

Vishnu Kumar Rai, Santonab Chakraborty, S. Chakraborty

{"title":"Association rule mining for prediction of COVID-19","authors":"Vishnu Kumar Rai, Santonab Chakraborty, S. Chakraborty","doi":"10.31181/dmame0317102022r","DOIUrl":"https://doi.org/10.31181/dmame0317102022r","url":null,"abstract":"COVID-19 is a raging pandemic that has created havoc with its impact ranging from loss of millions of human lives to social and economic disruptions of the entire world. The catastrophic shock of COVID-19 in India is also enormous. Currently, India has the largest number of COVID cases in Asia. Therefore, error-free prediction, quick diagnosis, disease identification, isolation and treatment of a COVID patient have become extremely important. Nowadays, mining knowledge and providing scientific decision making for diagnosis of diseases from clinical datasets has found wide-ranging applications in healthcare sector. In this direction, among different data mining tools, association rule mining has already emerged out as a popular technique to extract invaluable information and develop important knowledge-base to help in intelligent diagnosis of distinct diseases quickly and automatically. In this paper, an attempt is put forward to develop a predictive model based on frequent pattern growth algorithm of association rule mining to determine the likelihood of COVID-19 in a patient. It identifies breathing problem, fever, dry cough, sore throat, abroad travel and attended large gathering as the main indicators of COVID-19. Based on a large clinical dataset, a linear regression model is also proposed having an accuracy of 73.9% in correctly predicting the occurrence of COVID-19.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47716654","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: 4

Zeghdοudi distribution in acceptance sampling plans based on truncated life tests with real data application 基于截断寿命试验的验收抽样方案中的zeghdo - udi分布与实际数据的应用

Decision Making Applications in Management and Engineering Pub Date : 2023-04-15 DOI: 10.31181/dmame05012023a

Rehab Alsultan, A. Al-Omari

引用次数: 0

Efficient routing optimization with discrete penguins search algorithm for MTSP 基于离散企鹅搜索算法的MTSP高效路由优化

Decision Making Applications in Management and Engineering Pub Date : 2023-04-15 DOI: 10.31181/dmame04092023m

引用次数: 4