中国机械工程学会生产工程分会知识服务平台

期刊


ISSN1751-5254
刊名European Journal of Industrial Engineering
参考译名欧洲工业工程学杂志
收藏年代2009～2023



全部

2009 2010 2011 2012 2013 2014
2015 2016 2017 2018 2019 2020
2021 2022 2023

2020, vol.14, no.1 2020, vol.14, no.2 2020, vol.14, no.3 2020, vol.14, no.4 2020, vol.14, no.5 2020, vol.14, no.6

题名作者出版年年卷期
Supply chain coordination under financial constraints and yield uncertaintyPeng, Hongjun; Pang, Tao20202020, vol.14, no.6
A hybrid genetic Tabu search algorithm for minimising total completion time in a flexible job-shop scheduling problemFekih, Asma; Hadda, Hatem; Kacem, Imed; Hadj-Alouane, Atidel B.20202020, vol.14, no.6
Design of facility location-allocation network with an emergency backup supply systemHong, Jae-Dong; Jeong, Ki-Young20202020, vol.14, no.6
A stochastic maritime transportation-inventory problem with gamma, exponential, and uniform demand distributionsSoroush, Hossein M.; Al-Yakoob, Salem M.; Alqallaf, Fatemah A.20202020, vol.14, no.6
A possibilistic model for production planning with uncertain demandCunico, Maria Laura; Vecchietti, Aldo20202020, vol.14, no.6
Neoteric ranked set sampling based combined Shewhart-CUSUM and Shewhart-EWMA control charts for monitoring the process locationNawaz, Tahir; Han, Dong20202020, vol.14, no.5
An efficient generalised opposition-based multi-objective optimisation method for factory cranes with time-space constraintsZhou, Binghai; Liao, Xiumei20202020, vol.14, no.5
Performance enhancement of production systems using fuzzy-based availability analysis and simulation methodSahin, Merve Uzuner; Dengiz, Berna; Atalay, Kumru Didem20202020, vol.14, no.5
Efficient matheuristic for the generalised multiple knapsack problem with setupAdouani, Yassine; Jarboui, Bassem; Masmoudi, Malek20202020, vol.14, no.5
Project management under uncertainty: using flexible resource management to exploit schedule flexibilityFaria, Joao; Araujo, Madalena; Demeulemeester, Erik; Tereso, Anabela20202020, vol.14, no.5
123



国家科技图书文献中心  全球文献资源网  京ICP备05055788号-26  机械工业信息研究院 2018-2024