Two-agent scheduling on a single parallel-batching machine with equal processing time and non-identical job sizes
•We schedule two agents on a single p-batching machine with non-identical job sizes.•We minimize the makespan of one agent under a bounded makespan of the other agent.•We show that no polynomial-time algorithm with a finite bound exists, unless P = NP.•We propose an effective algorithm to obtain a l...
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Published in | European journal of operational research Vol. 258; no. 2; pp. 478 - 490 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
16.04.2017
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Subjects | |
Online Access | Get full text |
ISSN | 0377-2217 1872-6860 |
DOI | 10.1016/j.ejor.2016.10.024 |
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Abstract | •We schedule two agents on a single p-batching machine with non-identical job sizes.•We minimize the makespan of one agent under a bounded makespan of the other agent.•We show that no polynomial-time algorithm with a finite bound exists, unless P = NP.•We propose an effective algorithm to obtain a lower bound of the optimal solution.•We propose two heuristics and illustrate the effectiveness by computational studies.
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We schedule the jobs from two agents on a single parallel-batching machine with equal processing time and non-identical job sizes. The objective is to minimize the makespan of the first agent subject to an upper bound on the makespan of the other agent. We show that there is no polynomial-time approximation algorithm for solving this problem with a finite worst-case ratio, unless P=NP. Then, we propose an effective algorithm LB to obtain a lower bound of the optimal solution, and two algorithms, namely, reserved-space heuristic (RSH) and dynamic-mix heuristic (DMH), to solve the two-agent scheduling problem. Finally, we evaluate the performance of the proposed algorithms with a set of computational experiments. The results show that Algorithm LB works well and tends to perform better with the increase of the number of jobs. Furthermore, our results demonstrate that RSH and DMH work well on different cases. Specifically, when the optimal makespan on the first agent exceeds the upper bound of the makespan of the other agent, RSH outperforms or equals DMH, otherwise DMH is not less favorable than RSH. |
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AbstractList | •We schedule two agents on a single p-batching machine with non-identical job sizes.•We minimize the makespan of one agent under a bounded makespan of the other agent.•We show that no polynomial-time algorithm with a finite bound exists, unless P = NP.•We propose an effective algorithm to obtain a lower bound of the optimal solution.•We propose two heuristics and illustrate the effectiveness by computational studies.
[Display omitted]
We schedule the jobs from two agents on a single parallel-batching machine with equal processing time and non-identical job sizes. The objective is to minimize the makespan of the first agent subject to an upper bound on the makespan of the other agent. We show that there is no polynomial-time approximation algorithm for solving this problem with a finite worst-case ratio, unless P=NP. Then, we propose an effective algorithm LB to obtain a lower bound of the optimal solution, and two algorithms, namely, reserved-space heuristic (RSH) and dynamic-mix heuristic (DMH), to solve the two-agent scheduling problem. Finally, we evaluate the performance of the proposed algorithms with a set of computational experiments. The results show that Algorithm LB works well and tends to perform better with the increase of the number of jobs. Furthermore, our results demonstrate that RSH and DMH work well on different cases. Specifically, when the optimal makespan on the first agent exceeds the upper bound of the makespan of the other agent, RSH outperforms or equals DMH, otherwise DMH is not less favorable than RSH. |
Author | Fan, Guo-Qiang Zhang, Yingqian Zhang, Cheng-Wu Wang, Jun-Qiang Leung, Joseph Y.-T. |
Author_xml | – sequence: 1 givenname: Jun-Qiang orcidid: 0000-0001-5244-6483 surname: Wang fullname: Wang, Jun-Qiang email: wangjq@nwpu.edu.cn organization: Performance Analysis Center of Production and Operations Systems (PacPos), Northwestern Polytechnical University, Xi’an, Shaanxi 710072, PR China – sequence: 2 givenname: Guo-Qiang surname: Fan fullname: Fan, Guo-Qiang organization: Performance Analysis Center of Production and Operations Systems (PacPos), Northwestern Polytechnical University, Xi’an, Shaanxi 710072, PR China – sequence: 3 givenname: Yingqian surname: Zhang fullname: Zhang, Yingqian organization: Department of Industrial Engineering, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands – sequence: 4 givenname: Cheng-Wu surname: Zhang fullname: Zhang, Cheng-Wu organization: Performance Analysis Center of Production and Operations Systems (PacPos), Northwestern Polytechnical University, Xi’an, Shaanxi 710072, PR China – sequence: 5 givenname: Joseph Y.-T. surname: Leung fullname: Leung, Joseph Y.-T. organization: Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, United States |
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Snippet | •We schedule two agents on a single p-batching machine with non-identical job sizes.•We minimize the makespan of one agent under a bounded makespan of the... |
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SubjectTerms | Heuristics NP-hardness Parallel-batching machine Scheduling Two-agent scheduling |
Title | Two-agent scheduling on a single parallel-batching machine with equal processing time and non-identical job sizes |
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