Technical Note
Journal of the Operational Research Society (2007) 58, 1099–1102. doi:10.1057/palgrave.jors.2602227 Published online 5 July 2006
Complexity results for single-machine scheduling with positional learning effects
B M T Lin1
1National Chiao Tung University, Hsinchu, Taiwan
Correspondence: BMT Lin, Department of Information and Finance Management, Institute of Information Management, National Chiao Tung Univerisity, Hsinchu, Taiwan 300. E-mail: bmtlin@mail.nctu.edu.tw
Received 4 October 2005; Revised 8 March 2006; Accepted 15 March 2006; Published online 5 July 2006.
Abstract
This note presents complexity results for a single-machine scheduling problem of minimizing the number of late jobs. In the studied problem, the processing times of the jobs are defined by positional learning effects. A recent paper proposed a polynomial time algorithm for the case with a common due date and conjectured the general problem to be 
-hard. We confirm that the general problem is strongly 
-hard and show that the studied problem remains 
-hard even if there are only two different due-date values.
Keywords:
single-machine scheduling, learning effect, late job, 
-hardness
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