Two-agent scheduling on a single parallel-batching machine to minimize the weighted sum of the agents’ makespans

2018 ◽  
Vol 10 (3) ◽  
pp. 999-1007 ◽  
Author(s):  
Cui-Lin Zhang ◽  
Jun-Qiang Wang ◽  
Cheng-Wu Zhang
2017 ◽  
Vol 258 (2) ◽  
pp. 478-490 ◽  
Author(s):  
Jun-Qiang Wang ◽  
Guo-Qiang Fan ◽  
Yingqian Zhang ◽  
Cheng-Wu Zhang ◽  
Joseph Y.-T. Leung

2017 ◽  
Vol 263 (2) ◽  
pp. 401-411 ◽  
Author(s):  
Lixin Tang ◽  
Xiaoli Zhao ◽  
Jiyin Liu ◽  
Joseph Y.-T. Leung

2013 ◽  
Vol 37 (10-11) ◽  
pp. 7071-7076 ◽  
Author(s):  
Qi Feng ◽  
Jinjiang Yuan ◽  
Hailing Liu ◽  
Cheng He

Author(s):  
Mikhail Y. Kovalyov ◽  
Ammar Oulamara ◽  
Ameur Soukhal

2017 ◽  
Vol 64 (8) ◽  
pp. 628-641 ◽  
Author(s):  
Shisheng Li ◽  
T.C.E. Cheng ◽  
C.T. Ng ◽  
Jinjiang Yuan

2014 ◽  
Vol 31 (04) ◽  
pp. 1450025 ◽  
Author(s):  
CHENG HE ◽  
HAO LIN ◽  
JINJIANG YUAN ◽  
YUNDONG MU

In this paper, the problem of minimizing maximum cost and makespan simultaneously on an unbounded parallel-batching machine is considered. An unbounded parallel-batching machine is a machine that can handle any number of jobs in a batch and the processing time of a batch is the largest processing time of jobs in the batch. The main goal of a multicriteria problem is to find Pareto optimal solutions. We present a polynomial-time algorithm to produce all Pareto optimal solutions of this bicriteria scheduling problem.


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