TY - JOUR
T1 - Scheduling with variable-length calibrations
T2 - Two agreeable variants
AU - Chen, Hua
AU - Chen, Lin
AU - Zhang, Guochuan
AU - Chau, Vincent
N1 - Funding Information:
A preliminary version [1] of this paper appeared in Proceedings of the 14th International Conference on Algorithmic Applications in Management (AAIM), Springer, 2020, pp. 286–297. Hua Chen and Guochuan Zhang are supported by NSFC (No. 11771365 ). Vincent Chau is supported by the National Key Research and Development Program of China under grant No. 2019YFB2102200 , and by the Fundamental Research Funds for the Central Universities .
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/9/13
Y1 - 2021/9/13
N2 - Machines usually require maintenance after running a fixed period. A calibration at a cost has to be performed during the process. Finding a feasible schedule minimizing the total cost of calibrations is of great importance. In this paper, we deal with a single machine scheduling model with K types of calibrations. A calibration of type k∈{1,…,K} can be made instantaneously at any time point, which incurs a cost fk and can keep the machine active for a length Tk. Given a set of n jobs with release times, deadlines, and processing times, the goal is to minimize the total cost of calibrations by assigning all jobs in the calibrated state, where job preemption is allowed. We investigate two agreeable settings. Regarding agreeable jobs, later release times imply later deadlines. We establish a pseudo-polynomial time optimal algorithm and a (3+ε)-approximation algorithm. Moreover, if the largest job processing time is no more than any calibration length, it admits a (2+ε)-approximation algorithm. As for agreeable calibrations, where the cost of each calibration is proportional to its length, a 2-approximation algorithm is presented.
AB - Machines usually require maintenance after running a fixed period. A calibration at a cost has to be performed during the process. Finding a feasible schedule minimizing the total cost of calibrations is of great importance. In this paper, we deal with a single machine scheduling model with K types of calibrations. A calibration of type k∈{1,…,K} can be made instantaneously at any time point, which incurs a cost fk and can keep the machine active for a length Tk. Given a set of n jobs with release times, deadlines, and processing times, the goal is to minimize the total cost of calibrations by assigning all jobs in the calibrated state, where job preemption is allowed. We investigate two agreeable settings. Regarding agreeable jobs, later release times imply later deadlines. We establish a pseudo-polynomial time optimal algorithm and a (3+ε)-approximation algorithm. Moreover, if the largest job processing time is no more than any calibration length, it admits a (2+ε)-approximation algorithm. As for agreeable calibrations, where the cost of each calibration is proportional to its length, a 2-approximation algorithm is presented.
KW - Approximation algorithms
KW - Calibration
KW - Dynamic programming
KW - Scheduling
UR - http://www.scopus.com/inward/record.url?scp=85111618624&partnerID=8YFLogxK
U2 - 10.1016/j.tcs.2021.07.021
DO - 10.1016/j.tcs.2021.07.021
M3 - Article
AN - SCOPUS:85111618624
SN - 0304-3975
VL - 886
SP - 94
EP - 105
JO - Theoretical Computer Science
JF - Theoretical Computer Science
ER -