Single machine scheduling with multiple common due date assignment and aging effect under a deteriorating maintenance activity consideration

2013 ◽  
Vol 46 (1-2) ◽  
pp. 51-66 ◽  
Author(s):  
Yan-Peng Fan ◽  
Chuan-Li Zhao
2017 ◽  
Vol 56 (3) ◽  
pp. 1345-1360 ◽  
Author(s):  
Xiaoyun Xiong ◽  
Dujuan Wang ◽  
T.C. Edwin Cheng ◽  
Chin-Chia Wu ◽  
Yunqiang Yin

2003 ◽  
Vol 30 (8) ◽  
pp. 1173-1185 ◽  
Author(s):  
C.T.Daniel Ng ◽  
T.C.Edwin Cheng ◽  
Mikhail Y. Kovalyov ◽  
S.S. Lam

2014 ◽  
Vol 624 ◽  
pp. 675-680
Author(s):  
Yu Fang Zhao

We studied single machine scheduling problems in which the jobs need to be delivered to customers after processing. It is assumed that the delivery times are proportional to the length of the already processed jobs, and a job's processing time depended on its position in a sequence. The objective functions include total earliness, the weighted number of tardy jobs and the cost of due date assignment. We analyzed these problems with two different due date assignment methods and conclude that the problems are polynomial time solvable.


2017 ◽  
Vol 34 (04) ◽  
pp. 1750011 ◽  
Author(s):  
Zhusong Liu ◽  
Zhenyou Wang ◽  
Yuan-Yuan Lu

This paper considers the single machine scheduling with learning effect, resource allocation and deteriorating maintenance activity simultaneously. For the convex resource allocation consumption function, we provide a bicriteria analysis where the first (schedule) criterion is to minimize the total weighted sum of makespan, total completion time and total absolute differences in completion times, and the second (resource) criterion is to minimize the total weighted resource consumption. Our aim is to find the optimal resource allocations and job sequence that minimize the three different models of considering the two criterion. We show that these three models are polynomially solvable respectively.


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