{"title":"Bicriteria fabrication scheduling of two-component jobs on a single machine","authors":"Yijie Li","doi":"10.1007/s12351-023-00799-1","DOIUrl":null,"url":null,"abstract":"Abstract This paper studies the bicriteria problem of non-preemptively scheduling n jobs, each of which is associated with a due date and comprises a standard and a specific component, on a single fabrication machine to minimize makespan and maximum lateness simultaneously. The specific components are processed individually and the standard components are grouped into batches for processing. A setup time is required before each batch of standard components is processed. A standard component is available (i.e., ready for delivery to the next production stage) only when the batch it belongs to is totally completed, whereas a specific component is available on completion of its processing. The completion time of a job is defined as the moment when both its two components have been processed and are available. An $$O(n^2\\log n)$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mi>O</mml:mi> <mml:mo>(</mml:mo> <mml:msup> <mml:mi>n</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mo>log</mml:mo> <mml:mi>n</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> -time algorithm with linear memory requirements is presented which can generate all Pareto optimal points and find a corresponding Pareto optimal schedule for each Pareto optimal point.","PeriodicalId":48777,"journal":{"name":"Operational Research","volume":"9 1","pages":"0"},"PeriodicalIF":2.3000,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Operational Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s12351-023-00799-1","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract This paper studies the bicriteria problem of non-preemptively scheduling n jobs, each of which is associated with a due date and comprises a standard and a specific component, on a single fabrication machine to minimize makespan and maximum lateness simultaneously. The specific components are processed individually and the standard components are grouped into batches for processing. A setup time is required before each batch of standard components is processed. A standard component is available (i.e., ready for delivery to the next production stage) only when the batch it belongs to is totally completed, whereas a specific component is available on completion of its processing. The completion time of a job is defined as the moment when both its two components have been processed and are available. An $$O(n^2\log n)$$ O(n2logn) -time algorithm with linear memory requirements is presented which can generate all Pareto optimal points and find a corresponding Pareto optimal schedule for each Pareto optimal point.
期刊介绍:
Operational Research · An International Journal (ORIJ) publishes high quality scientific papers that contribute significantly to the fields of operational research and management science (OR/MS). ORIJ covers all aspects of OR including optimization methods, decision theory, stochastic models, simulation, game theory, queueing systems, inventory and reliability, among others. ORIJ focuses on papers presenting new theoretical insights and developments as well as real-world case studies illustrating the implementation of OR approaches in practice. Papers exploring the interactions of OR/MS with other relevant disciplines such as information technology, computer science, artificial intelligence, soft computing and electronic services are of particular interest. This is a unique feature of ORIJ compared to other existing OR journals, providing the means to explore new directions in OR/MS research in a interdisciplinary context. Overview papers from eminent scientists in significant fields of OR/MS that review the state-of-the-art in these fields, are also welcome.