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Single Machine Scheduling with Time-Dependent Learning Effect and Non-Linear Past-Sequence-Dependent Setup Times

Read  full  paper  at:
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53571#.VMnXpSzQrzE

Author(s)  
Yuling Yeh1, Chinyao Low2, Wen-Yi Lin2

Affiliation(s)
1Department of Marketing and Logistics, Nan Kai University of Technology, Nantou, Chinese Taipei.
2Institute of Industrial Engineering and Management, National Yunlin University of Science and Technology, Douliou, Chinese Taipei.

ABSTRACT
This paper studies a single machine scheduling problem with time-dependent learning and setup times. Time-dependent learning means that the actual processing time of a job is a function of the sum of the normal processing times of the jobs already scheduled. The setup time of a job is proportional to the length of the already processed jobs, that is, past-sequence-dependent (psd) setup time. We show that the addressed problem remains polynomially solvable for the objectives, i.e., minimization of the total completion time and minimization of the total weighted completion time. We also show that the smallest processing time (SPT) rule provides the optimum sequence for the addressed problem.

KEYWORDS
Scheduling, Time-Dependent Learning, Setup Time, Past-Sequence-Dependent, Total Completion Time

Cite this paper
Yeh, Y. , Low, C. and Lin, W. (2015) Single Machine Scheduling with Time-Dependent Learning Effect and Non-Linear Past-Sequence-Dependent Setup Times. Journal of Applied Mathematics and Physics, 3, 10-15. doi: 10.4236/jamp.2015.31002.

References
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