{"title":"具有广义优先级和序列依赖建立时间的多模式RCPSP的禁忌搜索","authors":"Baptistin Carvin , Odile Bellenguez , Guillaume Massonnet","doi":"10.1016/j.cie.2025.111142","DOIUrl":null,"url":null,"abstract":"<div><div>This work addresses a problem inspired by industrial scheduling cases in the food industry, with a specific workshop structure and precedence graph. We propose a model derived from a MRCPSP which includes generalized precedence, and use an extended ProGen method to generate industrially consistent instances. We propose a tabu search based on a priority list that takes advantage of the instances structure. When minimizing makespan, we present evidences that this method outperforms commercial solvers with the MIP formulation in both admissible solutions number and makespan. Finally, we present an overview of performance on an alternative objective of interest for industrial applications.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"205 ","pages":"Article 111142"},"PeriodicalIF":6.7000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tabu search for a multi-mode RCPSP with generalized precedence and sequence-dependent setup time\",\"authors\":\"Baptistin Carvin , Odile Bellenguez , Guillaume Massonnet\",\"doi\":\"10.1016/j.cie.2025.111142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This work addresses a problem inspired by industrial scheduling cases in the food industry, with a specific workshop structure and precedence graph. We propose a model derived from a MRCPSP which includes generalized precedence, and use an extended ProGen method to generate industrially consistent instances. We propose a tabu search based on a priority list that takes advantage of the instances structure. When minimizing makespan, we present evidences that this method outperforms commercial solvers with the MIP formulation in both admissible solutions number and makespan. Finally, we present an overview of performance on an alternative objective of interest for industrial applications.</div></div>\",\"PeriodicalId\":55220,\"journal\":{\"name\":\"Computers & Industrial Engineering\",\"volume\":\"205 \",\"pages\":\"Article 111142\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2025-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Industrial Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0360835225002888\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Industrial Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360835225002888","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Tabu search for a multi-mode RCPSP with generalized precedence and sequence-dependent setup time
This work addresses a problem inspired by industrial scheduling cases in the food industry, with a specific workshop structure and precedence graph. We propose a model derived from a MRCPSP which includes generalized precedence, and use an extended ProGen method to generate industrially consistent instances. We propose a tabu search based on a priority list that takes advantage of the instances structure. When minimizing makespan, we present evidences that this method outperforms commercial solvers with the MIP formulation in both admissible solutions number and makespan. Finally, we present an overview of performance on an alternative objective of interest for industrial applications.
期刊介绍:
Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.