{"title":"An LSI delivery management method using lot-sampling scheduling","authors":"M. Yoshizawa, T. Sakurai","doi":"10.1109/IEMT.1993.398203","DOIUrl":null,"url":null,"abstract":"The delivery management method with marker lot and lot-sampling scheduling (LSS) has been developed. This method can reduce allocated memory compared to the conventional dynamic scheduling method. The reduction in allocated memory enables increasing the maximum number of lots to simulate the delivery date and to control turn-around-time (TAT). The accuracy of the simulated delivery date is within two days even for low-priority lots. Progress in processing is controlled by varying the resource allocation ratio for scheduling lots. This method is effective for delivery data control in manufacturing lines, including lots with various priority.<<ETX>>","PeriodicalId":206206,"journal":{"name":"Proceedings of 15th IEEE/CHMT International Electronic Manufacturing Technology Symposium","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 15th IEEE/CHMT International Electronic Manufacturing Technology Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMT.1993.398203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The delivery management method with marker lot and lot-sampling scheduling (LSS) has been developed. This method can reduce allocated memory compared to the conventional dynamic scheduling method. The reduction in allocated memory enables increasing the maximum number of lots to simulate the delivery date and to control turn-around-time (TAT). The accuracy of the simulated delivery date is within two days even for low-priority lots. Progress in processing is controlled by varying the resource allocation ratio for scheduling lots. This method is effective for delivery data control in manufacturing lines, including lots with various priority.<>
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