Machine scheduling with a maintenance interval and job delivery coordination

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

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, $m\geq 3$.


2019 ◽  
Vol 53 (4) ◽  
pp. 1261-1266 ◽  
Author(s):  
Lingfa Lu ◽  
Liqi Zhang

We consider the single-machine scheduling problem with release dates and job delivery to minimize makespan. Preemption is not allowed in the processing of the jobs. All jobs are first processed on a single machine and then delivered by a capacitated vehicle to a single customer. The vehicle can deliver at most c ≥ 1 jobs in each shipment. The round-trip transportation time between the machine and customer is a constant T > 0. The problem was proved to be strongly NP-hard and a 3/2-approximation algorithm was presented in the literature. In this paper we provide a polynomial-time approximation scheme (PTAS) for the problem.


2009 ◽  
Vol 410 (27-29) ◽  
pp. 2581-2591 ◽  
Author(s):  
Chi-Shiang Su ◽  
Jason Chao-Hsien Pan ◽  
Tsung-Shin Hsu

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