Single Bounded Parallel-Batch Machine Scheduling with an Unavailability Constraint and Job Delivery

Author(s):  
Jing Fan ◽  
C. T. Ng ◽  
T. C. E. Cheng ◽  
Hui Shi
2017 ◽  
Vol 58 ◽  
pp. 306
Author(s):  
Jianming Dong ◽  
Xueshi Wang ◽  
Liliang Wang ◽  
Jueliang Hu

2004 ◽  
Vol 158 (2) ◽  
pp. 470-487 ◽  
Author(s):  
Yung-Chia Chang ◽  
Chung-Yee Lee

Author(s):  
Jueliang Hu ◽  
Taibo Luo ◽  
Xiaotong Su ◽  
Jianming Dong ◽  
Weitian Tong ◽  
...  

2015 ◽  
Vol 10 (8) ◽  
pp. 1645-1656 ◽  
Author(s):  
Jueliang Hu ◽  
Taibo Luo ◽  
Xiaotong Su ◽  
Jianming Dong ◽  
Weitian Tong ◽  
...  

2017 ◽  
Vol 21 (3) ◽  
pp. 337-348 ◽  
Author(s):  
Jianming Dong ◽  
Xueshi Wang ◽  
Jueliang Hu ◽  
Guohui Lin

2017 ◽  
Vol 58 (3-4) ◽  
pp. 306-313
Author(s):  
J. M. DONG ◽  
X. S. WANG ◽  
L. L. WANG ◽  
J. L. HU

We analyse a parallel (identical) machine scheduling problem with job delivery to a single customer. For this problem, each job needs to be processed on $m$ parallel machines non-pre-emptively and then transported to a customer by one vehicle with a limited physical capacity. The optimization goal is to minimize the makespan, the time at which all the jobs are processed and delivered and the vehicle returns to the machine. We present an approximation algorithm with a tight worst-case performance ratio of $7/3-1/m$ for the general case, $m\geq 3$.


2004 ◽  
Vol 15 (04) ◽  
pp. 593-607 ◽  
Author(s):  
CHUNG KEUNG POON ◽  
WENCI YU

We study the scheduling problem on a batch machine which is capable of processing a batch of jobs at a time. For a batch machine of capacity c, we designed an algorithm for minimizing the total completion time in O(n6c) time (for sufficiently large c). This improves the best previous time bound of O(nc(c-1)) given by Brucker et al [1]. We also designed a new algorithm with running time [Formula: see text].


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