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Improving grain yield prediction in Southern US oat germplasm using genomics information and environmental covariates. [PDF]

Plant Genome
Adewale SA, Babar MA, Jarquin D, Khan N, Harrison S, DeWitt N, Boyles R, Liu S, Melson E, Hathcoat D, Fiedler JD, Nandety RS.   +11 more
europepmc   +1 more source

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Logic-based Benders decomposition method for the seru scheduling problem with sequence-dependent setup time and DeJong's learning effect

European Journal of Operational Research, 2021
This paper concentrates on the scheduling problem in seru production system (SPS), where seru is a successful new-type production mode arising from the Japanese labor-intensive electronic assembly industry.
Zhe Zhang, Xiao-Ling Song, Hui-Jun Huang, Xiaoyang Zhou, Yong Yin   +4 more
semanticscholar   +1 more source

A combinatorial evolutionary algorithm for unrelated parallel machine scheduling problem with sequence and machine-dependent setup times, limited worker resources and learning effect

Expert systems with applications, 2021
The existing papers on unrelated parallel machine scheduling problem with sequence and machine-dependent setup times (UPMSP-SMDST) ignore the worker resources and learning effect.
Like Zhang, Qianwang Deng, R. Lin, Gui-Liang Gong, Wenwu Han   +4 more
semanticscholar   +1 more source

An exact solution method for solving seru scheduling problems with past-sequence-dependent setup time and learning effect

Computers & industrial engineering, 2021
This paper concentrates on three scheduling problems with past-sequence-dependent setup time and DeJong's learning effect in seru production system (SPS), including minimizing the total waiting time, the total absolute differences in waiting time, and ...
Yujing Jiang, Zhe Zhang, Xue-Peng Gong, Yong Yin   +3 more
semanticscholar   +1 more source

Permutation flow shop energy-efficient scheduling with a position-based learning effect

International Journal of Production Research, 2021
Severe environmental problems have made green scheduling an emerging research hotspot. In this paper, a permutation flow shop energy-efficient scheduling problem that considers multiple criteria is investigated.
Xu Xin, Qiang-Qiang Jiang, Cui Li, Sihang Li, Kang Chen   +4 more
semanticscholar   +1 more source

Effective algorithms for single-machine learning-effect scheduling to minimize completion-time-based criteria with release dates

Expert systems with applications, 2020
Multi-variety and small-batch productions are usually undertaken by skilled workers instead of an automatic assembly line because of economic cost consideration.
Danyu Bai, Han Xue, Ling Wang, Chin-Chia Wu, Win-Chin Lin, D. H. Abdulkadir   +5 more
semanticscholar   +1 more source

Information sharing in a closed-loop supply chain with learning effect and technology licensing

, 2020
The considerable economic and environmental benefits from remanufacturing has led growing interest in closed-loop supply chain management. Incorporating information sharing and learning effect plays a significant role in determining the efficiency and ...
Yan-Ting Huang, Zong-Jun Wang
semanticscholar   +1 more source