{"title":"带准备时间的订单调度的一种新的元启发式算法","authors":"Win-Chin Lin, Tzu-Hsuan Yang, Chin-Chia Wu","doi":"10.1109/CIIS.2017.11","DOIUrl":null,"url":null,"abstract":"Recently the customer order scheduling models has continued growing attention in research community. However, customer order scheduling problem with the ready time is only relatively few. In light of this limitation, we then address a multi-facility order scheduling with ready times to find a sequence to minimize the total weighted completion time. Because the complexity of this problem is very difficult, we use five existing heuristics and two-type iterative greedy algorithms to find near-optimal solutions. All of the proposed heuristics are also improved by pairwise improvement. Finally, we conduct a one-way analysis of variance and Fisher's least significant difference tests to assess the performances of all the proposed algorithms.","PeriodicalId":254342,"journal":{"name":"2017 International Conference on Computing Intelligence and Information System (CIIS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Novel Metaheuristic for the Order Scheduling with Ready Times\",\"authors\":\"Win-Chin Lin, Tzu-Hsuan Yang, Chin-Chia Wu\",\"doi\":\"10.1109/CIIS.2017.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently the customer order scheduling models has continued growing attention in research community. However, customer order scheduling problem with the ready time is only relatively few. In light of this limitation, we then address a multi-facility order scheduling with ready times to find a sequence to minimize the total weighted completion time. Because the complexity of this problem is very difficult, we use five existing heuristics and two-type iterative greedy algorithms to find near-optimal solutions. All of the proposed heuristics are also improved by pairwise improvement. Finally, we conduct a one-way analysis of variance and Fisher's least significant difference tests to assess the performances of all the proposed algorithms.\",\"PeriodicalId\":254342,\"journal\":{\"name\":\"2017 International Conference on Computing Intelligence and Information System (CIIS)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Computing Intelligence and Information System (CIIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIIS.2017.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computing Intelligence and Information System (CIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIIS.2017.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Novel Metaheuristic for the Order Scheduling with Ready Times
Recently the customer order scheduling models has continued growing attention in research community. However, customer order scheduling problem with the ready time is only relatively few. In light of this limitation, we then address a multi-facility order scheduling with ready times to find a sequence to minimize the total weighted completion time. Because the complexity of this problem is very difficult, we use five existing heuristics and two-type iterative greedy algorithms to find near-optimal solutions. All of the proposed heuristics are also improved by pairwise improvement. Finally, we conduct a one-way analysis of variance and Fisher's least significant difference tests to assess the performances of all the proposed algorithms.