scholarly journals Competitive two-agent scheduling with deteriorating jobs on a single parallel-batching machine

2017 ◽  
Vol 263 (2) ◽  
pp. 401-411 ◽  
Author(s):  
Lixin Tang ◽  
Xiaoli Zhao ◽  
Jiyin Liu ◽  
Joseph Y.-T. Leung
2017 ◽  
Vol 258 (2) ◽  
pp. 478-490 ◽  
Author(s):  
Jun-Qiang Wang ◽  
Guo-Qiang Fan ◽  
Yingqian Zhang ◽  
Cheng-Wu Zhang ◽  
Joseph Y.-T. Leung

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

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Juan Zou ◽  
Cuixia Miao

We consider the unbounded parallel batch scheduling with deterioration, release dates, and rejection. Each job is either accepted and processed on a single batching machine, or rejected by paying penalties. The processing time of a job is a simple linear increasing function of its starting time. The objective is to minimize the sum of the makespan of the accepted jobs and the total penalty of the rejected jobs. First, we show that the problem is NP-hard in the ordinary sense. Then, we present two pseudopolynomial time algorithms and a fully polynomial-time approximation scheme to solve this problem. Furthermore, we provide an optimalO(nlog⁡n)time algorithm for the case where jobs have identical release dates.


2018 ◽  
Vol 70 (10) ◽  
pp. 1830-1847 ◽  
Author(s):  
Jun Pei ◽  
Xingming Wang ◽  
Wenjuan Fan ◽  
Panos M. Pardalos ◽  
Xinbao Liu

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

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