Supply Chain Analytics最新文献

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An integrated stepwise weight assessment ratio analysis and weighted aggregated sum product assessment framework for sustainable supplier selection in the healthcare supply chains 医疗保健供应链中可持续供应商选择的综合逐步权重评估比率分析和加权总和产品评估框架
Supply Chain Analytics Pub Date : 2023-03-01 DOI: 10.1016/j.sca.2022.100001
Binoy Debnath , A.B.M. Mainul Bari , Md. Mahfujul Haq , Diego Augusto de Jesus Pacheco , Muztoba Ahmad Khan
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引用次数: 25
A novel machine learning model for predicting late supplier deliveries of low-volume-high-variety products with application in a German machinery industry 一种新的机器学习模型,用于预测小批量、高品种产品的供应商延迟交付,并在德国机械工业中应用
Supply Chain Analytics Pub Date : 2023-03-01 DOI: 10.1016/j.sca.2023.100003
Fabian Steinberg , Peter Burggräf , Johannes Wagner , Benjamin Heinbach , Till Saßmannshausen , Alexandra Brintrup
{"title":"A novel machine learning model for predicting late supplier deliveries of low-volume-high-variety products with application in a German machinery industry","authors":"Fabian Steinberg ,&nbsp;Peter Burggräf ,&nbsp;Johannes Wagner ,&nbsp;Benjamin Heinbach ,&nbsp;Till Saßmannshausen ,&nbsp;Alexandra Brintrup","doi":"10.1016/j.sca.2023.100003","DOIUrl":"https://doi.org/10.1016/j.sca.2023.100003","url":null,"abstract":"<div><p>Although Machine Learning (ML) in supply chain management (SCM) has become a popular topic, predictive uses of ML in SCM remain an understudied area. A specific area that needs further attention is the prediction of late deliveries by suppliers. Recent approaches showed promising results but remained limited in their use of classification algorithms and struggled with the curse of dimensionality, making them less applicable to low-volume-high-variety production settings. In this paper, we show that a prediction model using a regression algorithm is capable to predict the severity of late deliveries of suppliers in a representative case study of a low-volume-high-variety machinery manufacturer. Here, a detailed understanding of the manufacturer’s procurement process is built, relevant features are identified, and different ML algorithms are compared. In detail, our approach provides three key contributions: First, we develop an ML-based regression model predicting the severity of late deliveries by suppliers. Second, we demonstrate that prediction within the earlier phases of the purchasing process is possible. Third, we show that there is no need to reduce the dimensionality of high-dimensional input features. Nevertheless, our approach has scope for improvement. The inclusion of information such as component identifiers may improve the prediction quality.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"1 ","pages":"Article 100003"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49767389","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
A spatial multi-criteria decision-making model for planning new logistic centers in metropolitan areas 都市圈新物流中心规划的空间多准则决策模型
Supply Chain Analytics Pub Date : 2023-03-01 DOI: 10.1016/j.sca.2023.100002
İsmail Önden , Fahrettin Eldemir , A. Zafer Acar , Metin Çancı
{"title":"A spatial multi-criteria decision-making model for planning new logistic centers in metropolitan areas","authors":"İsmail Önden ,&nbsp;Fahrettin Eldemir ,&nbsp;A. Zafer Acar ,&nbsp;Metin Çancı","doi":"10.1016/j.sca.2023.100002","DOIUrl":"https://doi.org/10.1016/j.sca.2023.100002","url":null,"abstract":"<div><p>The logistics center concept has been discussed in the literature for over four decades. Logistics centers simplify the logistics network and have many advantages, such as lower transportation costs, an economy of scale, and integrated service capabilities. We propose a spatial multi-criteria decision-making model for new logistic centers in metropolitan areas. The first focus of the study is identifying the logistic concerns, defining the factors affecting the replacement decisions and determining the weights of the factors in metropolitan areas with many expert opinions. The second focuses on spatial analysis to locate new logistics centers serving urban areas. We present a case study in Istanbul, the most populous metropolis in Europe, to demonstrate the applicability and exhibit efficacy of the method proposed in this study. Outputs of the study pointed out where the convenient places are to locate new logistics centers.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"1 ","pages":"Article 100002"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49727254","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
Supply Chain Analytics: An Uncertainty Modeling Approach 供应链分析:不确定性建模方法
Supply Chain Analytics Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-30347-0
Isik Biçer
{"title":"Supply Chain Analytics: An Uncertainty Modeling Approach","authors":"Isik Biçer","doi":"10.1007/978-3-031-30347-0","DOIUrl":"https://doi.org/10.1007/978-3-031-30347-0","url":null,"abstract":"","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"84 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74750813","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
Supply Chain Analytics: Concepts, Techniques and Applications 供应链分析:概念、技术和应用
Supply Chain Analytics Pub Date : 2022-01-01 DOI: 10.1007/978-3-030-92224-5
Kurt Y. Liu
{"title":"Supply Chain Analytics: Concepts, Techniques and Applications","authors":"Kurt Y. Liu","doi":"10.1007/978-3-030-92224-5","DOIUrl":"https://doi.org/10.1007/978-3-030-92224-5","url":null,"abstract":"","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75421379","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
Using supply chain analytics to enhance supply chain execution processes 使用供应链分析来提高供应链执行流程
Supply Chain Analytics Pub Date : 2020-11-12 DOI: 10.4324/9781003084020-6
P. Robertson
{"title":"Using supply chain analytics to enhance supply chain execution processes","authors":"P. Robertson","doi":"10.4324/9781003084020-6","DOIUrl":"https://doi.org/10.4324/9781003084020-6","url":null,"abstract":"","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"2012 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88149690","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
Using supply chain analytics to enhance supply chain design processes 使用供应链分析来提高供应链设计流程
Supply Chain Analytics Pub Date : 2020-11-12 DOI: 10.4324/9781003084020-5
P. Robertson
{"title":"Using supply chain analytics to enhance supply chain design processes","authors":"P. Robertson","doi":"10.4324/9781003084020-5","DOIUrl":"https://doi.org/10.4324/9781003084020-5","url":null,"abstract":"","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75034497","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
Using supply chain analytics to enhance supply chain people processes 使用供应链分析来增强供应链人员流程
Supply Chain Analytics Pub Date : 2020-11-12 DOI: 10.4324/9781003084020-7
P. Robertson
{"title":"Using supply chain analytics to enhance supply chain people processes","authors":"P. Robertson","doi":"10.4324/9781003084020-7","DOIUrl":"https://doi.org/10.4324/9781003084020-7","url":null,"abstract":"","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86209000","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
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