TY - JOUR
T1 - Stochastic scheduling problems with general position-based learning effects and stochastic breakdowns
AU - Zhang, Yebin
AU - Wu, Xianyi
AU - Zhou, Xian
PY - 2013/6
Y1 - 2013/6
N2 - The focus of this study is to analyze position-based learning effects in single-machine stochastic scheduling problems The optimal permutation policies for the stochastic scheduling problems with and without machine breakdowns are examined, where the performance measures are the expectation and variance of the makespan, the expected total completion time, the expected total weighted completion time, the expected weighted sum of the discounted completion times, the maximum lateness and the maximum tardiness
AB - The focus of this study is to analyze position-based learning effects in single-machine stochastic scheduling problems The optimal permutation policies for the stochastic scheduling problems with and without machine breakdowns are examined, where the performance measures are the expectation and variance of the makespan, the expected total completion time, the expected total weighted completion time, the expected weighted sum of the discounted completion times, the maximum lateness and the maximum tardiness
KW - Deteriorating
KW - Learning effects
KW - Stochastic breakdowns
KW - Stochastic order
KW - Stochastic scheduling
UR - https://www.scopus.com/pages/publications/84880722779
U2 - 10.1007/s10951-012-0306-9
DO - 10.1007/s10951-012-0306-9
M3 - 文章
AN - SCOPUS:84880722779
SN - 1094-6136
VL - 16
SP - 331
EP - 336
JO - Journal of Scheduling
JF - Journal of Scheduling
IS - 3
ER -