Chaojie Guo, Lele Zhang, Russell G. Thompson, Greg Foliente, Xiaoshuai Peng
{"title":"An intelligent open trading system for on-demand delivery facilitated by deep Q network based reinforcement learning","authors":"Chaojie Guo, Lele Zhang, Russell G. Thompson, Greg Foliente, Xiaoshuai Peng","doi":"10.1080/00207543.2024.2364349","DOIUrl":"https://doi.org/10.1080/00207543.2024.2364349","url":null,"abstract":"","PeriodicalId":506250,"journal":{"name":"International Journal of Production Research","volume":"10 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141341010","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}
{"title":"Joint transshipment, markdown, and clearance decisions at a fast-fashion retailer","authors":"S. Naderi, Abdullah Dasci, Kemal Kilic","doi":"10.1080/00207543.2024.2365358","DOIUrl":"https://doi.org/10.1080/00207543.2024.2365358","url":null,"abstract":"","PeriodicalId":506250,"journal":{"name":"International Journal of Production Research","volume":"15 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141341049","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}
{"title":"Integrated scheduling of production and material delivery for the intelligent manufacturing system","authors":"Tianning Liang, Liping Zhou, Zhibin Jiang","doi":"10.1080/00207543.2024.2363435","DOIUrl":"https://doi.org/10.1080/00207543.2024.2363435","url":null,"abstract":"","PeriodicalId":506250,"journal":{"name":"International Journal of Production Research","volume":"123 48","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141360690","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}
M. Khakifirooz, Michel Fathi, Alexandre Dolgui, P. Pardalos
{"title":"Assessing resiliency in scale-free supply chain networks: a stress testing approach based on entropy measurements and value-at-risk analysis","authors":"M. Khakifirooz, Michel Fathi, Alexandre Dolgui, P. Pardalos","doi":"10.1080/00207543.2024.2361850","DOIUrl":"https://doi.org/10.1080/00207543.2024.2361850","url":null,"abstract":"","PeriodicalId":506250,"journal":{"name":"International Journal of Production Research","volume":"73 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141359647","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}
{"title":"Supply chain fraud prediction with machine learning and artificial intelligence","authors":"M. Lokanan, Vikas Maddhesia","doi":"10.1080/00207543.2024.2361434","DOIUrl":"https://doi.org/10.1080/00207543.2024.2361434","url":null,"abstract":"The increasing complexity of supply chains is putting pressure on businesses to find new ways to optimize efficiency and cut costs. One area that has seen a lot of recent development is machine learning (ML) and artificial intelligence (AI) to help manage supply chains. This paper employs machine learning (ML) and artificial intelligence (AI) algorithms to predict fraud in the supply chain. Supply chain data for this project was retrieved from real-world business transactions. The findings show that ML and AI classifiers did an excellent job predicting supply chain fraud. In particular, the AI model was the highest predictor across all performance measures. These results suggest that computational intelligence can be a powerful tool for detecting and preventing supply chain fraud. ML and AI classifiers can analyze vast amounts of data and identify patterns that may evade manual detection. The findings presented in this paper can be used to optimize supply chain management (SCM) and make predictions of fraudulent transactions before they occur. While ML and AI classifiers are still in the early stages of development, they have the potential to revolutionize SCM. Future research should explore how these techniques can be refined and applied to other domains.","PeriodicalId":506250,"journal":{"name":"International Journal of Production Research","volume":" 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141372516","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}
Geonseok Lee, Tianhui Wang, Dohyun Kim, Myong K. Jeong
{"title":"Sparse group principal component analysis using elastic-net regularisation and its application to virtual metrology in semiconductor manufacturing","authors":"Geonseok Lee, Tianhui Wang, Dohyun Kim, Myong K. Jeong","doi":"10.1080/00207543.2024.2361854","DOIUrl":"https://doi.org/10.1080/00207543.2024.2361854","url":null,"abstract":"","PeriodicalId":506250,"journal":{"name":"International Journal of Production Research","volume":" 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141371593","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}
Zhiwen Lin, Zhifeng Liu, Jun Yan, Yueze Zhang, C. Chen, Baobao Qi, Jinyan Guo
{"title":"Digital thread-driven cloud-fog-edge collaborative disturbance mitigation mechanism for adaptive production in digital twin discrete manufacturing workshop","authors":"Zhiwen Lin, Zhifeng Liu, Jun Yan, Yueze Zhang, C. Chen, Baobao Qi, Jinyan Guo","doi":"10.1080/00207543.2024.2357222","DOIUrl":"https://doi.org/10.1080/00207543.2024.2357222","url":null,"abstract":"","PeriodicalId":506250,"journal":{"name":"International Journal of Production Research","volume":"53 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141381745","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}
{"title":"A note on scheduling identical parallel machines with preemptions and setup times","authors":"Mourad Boudhar, Alexandre Dolgui, Amina Haned, Abida Kerdali, Sergey Kovalev, M. Kovalyov","doi":"10.1080/00207543.2024.2362414","DOIUrl":"https://doi.org/10.1080/00207543.2024.2362414","url":null,"abstract":"","PeriodicalId":506250,"journal":{"name":"International Journal of Production Research","volume":"342 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141385850","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}
Andrea Monguzzi, Andrea Maria Zanchettin, Paolo Rocco
{"title":"A systematic strategy for the architecture design of collaborative and reconfigurable assembly lines","authors":"Andrea Monguzzi, Andrea Maria Zanchettin, Paolo Rocco","doi":"10.1080/00207543.2024.2353789","DOIUrl":"https://doi.org/10.1080/00207543.2024.2353789","url":null,"abstract":"","PeriodicalId":506250,"journal":{"name":"International Journal of Production Research","volume":"4 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140971727","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}