Qi-Xia Yang, Long-Cheng Liu, Min Huang, Tian-Run Wang
{"title":"Algorithms for a two-machine no-wait flow shop scheduling problem with two competing agents","authors":"Qi-Xia Yang, Long-Cheng Liu, Min Huang, Tian-Run Wang","doi":"10.1007/s10878-024-01198-8","DOIUrl":null,"url":null,"abstract":"<p>In this paper, we consider the following two-machine no-wait flow shop scheduling problem with two competing agents <span>\\(F2~|~M_1\\rightarrow M_2,~ M_2,~ p_{ij}^{A} = p,~ no\\text{- }wait~|~C_{\\max }^A:~ C_{\\max }^B~\\le Q \\)</span>: Given a set of <i>n</i> jobs <span>\\(\\mathcal {J} = \\{ J_1, J_2, \\ldots , J_n\\}\\)</span> and two competing agents <i>A</i> and <i>B</i>. Agent <i>A</i> is associated with a set of <span>\\(n_A\\)</span> jobs <span>\\(\\mathcal {J}^A = \\{J_1^A, J_2^A, \\ldots , J_{n_A}^A\\}\\)</span> to be processed on the machine <span>\\(M_1\\)</span> first and then on the machine <span>\\(M_2\\)</span> with no-wait constraint, and agent <i>B</i> is associated with a set of <span>\\(n_B\\)</span> jobs <span>\\(\\mathcal {J}^B = \\{J_1^B, J_2^B, \\ldots , J_{n_B}^B\\}\\)</span> to be processed on the machine <span>\\(M_2\\)</span> only, where the processing times for the jobs of agent <i>A</i> are all the same (i.e., <span>\\(p_{ij}^A = p\\)</span>), <span>\\(\\mathcal {J} = \\mathcal {J}^A \\cup \\mathcal {J}^B\\)</span> and <span>\\(n = n_A + n_B\\)</span>. The objective is to build a schedule <span>\\(\\pi \\)</span> of the <i>n</i> jobs that minimizing the makespan of agent <i>A</i> while maintaining the makespan of agent <i>B</i> not greater than a given value <i>Q</i>. We first show that the problem is polynomial time solvable in some special cases. For the non-solvable case, we present an <span>\\(O(n \\log n)\\)</span>-time <span>\\((1 + \\frac{1}{n_A +1})\\)</span>-approximation algorithm and show that this ratio of <span>\\((1 + \\frac{1}{n_A +1})\\)</span> is asymptotically tight. Finally, <span>\\((1+\\epsilon )\\)</span>-approximation algorithms are provided.</p>","PeriodicalId":50231,"journal":{"name":"Journal of Combinatorial Optimization","volume":"74 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Combinatorial Optimization","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s10878-024-01198-8","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we consider the following two-machine no-wait flow shop scheduling problem with two competing agents \(F2~|~M_1\rightarrow M_2,~ M_2,~ p_{ij}^{A} = p,~ no\text{- }wait~|~C_{\max }^A:~ C_{\max }^B~\le Q \): Given a set of n jobs \(\mathcal {J} = \{ J_1, J_2, \ldots , J_n\}\) and two competing agents A and B. Agent A is associated with a set of \(n_A\) jobs \(\mathcal {J}^A = \{J_1^A, J_2^A, \ldots , J_{n_A}^A\}\) to be processed on the machine \(M_1\) first and then on the machine \(M_2\) with no-wait constraint, and agent B is associated with a set of \(n_B\) jobs \(\mathcal {J}^B = \{J_1^B, J_2^B, \ldots , J_{n_B}^B\}\) to be processed on the machine \(M_2\) only, where the processing times for the jobs of agent A are all the same (i.e., \(p_{ij}^A = p\)), \(\mathcal {J} = \mathcal {J}^A \cup \mathcal {J}^B\) and \(n = n_A + n_B\). The objective is to build a schedule \(\pi \) of the n jobs that minimizing the makespan of agent A while maintaining the makespan of agent B not greater than a given value Q. We first show that the problem is polynomial time solvable in some special cases. For the non-solvable case, we present an \(O(n \log n)\)-time \((1 + \frac{1}{n_A +1})\)-approximation algorithm and show that this ratio of \((1 + \frac{1}{n_A +1})\) is asymptotically tight. Finally, \((1+\epsilon )\)-approximation algorithms are provided.
期刊介绍:
The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering.
The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.