Title
Serial-batching scheduling with time-dependent setup time and effects of deterioration and learning on a single-machine
Abstract
This paper deals with serial-batching scheduling problems with the effects of deterioration and learning, where time-dependent setup time is also considered. In the proposed scheduling models, all jobs are first partitioned into serial batches, and then all batches are processed on a single serial-batching machine. The actual job processing time is a function of its starting time and position. In addition, a setup time is required when a new batch is processed, and the setup time of the batches is time-dependent, i.e., it is a linear function of its starting time. Structural properties are derived for the problems of minimizing the makespan, the number of tardy jobs, and the maximum earliness. Then, three optimization algorithms are developed to solve them, respectively.
Year
DOI
Venue
2017
10.1007/s10898-015-0320-5
J. Global Optimization
Keywords
Field
DocType
Scheduling,Serial-batching,Deteriorating jobs,Learning effect,Single-machine
Learning effect,Mathematical optimization,Job shop scheduling,Scheduling (computing),Computer science,Optimization algorithm,Linear function
Journal
Volume
Issue
ISSN
67
1-2
0925-5001
Citations 
PageRank 
References 
14
0.57
18
Authors
5
Name
Order
Citations
PageRank
Jun Pei120226.56
Xin-Bao Liu225426.14
P. M. Pardalos326945.19
Athanasios Migdalas433027.26
Shanlin Yang578760.80