文献
J-GLOBAL ID:201802230055335359
整理番号:18A1026538
産業4.0に基づく製造システムにおける劣化と学習効果による2目的確率的フローショップスケジューリング【JST・京大機械翻訳】
Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in Industry 4.0-based manufacturing system
著者 (4件):
Fu Yaping
(Institute of Complexity Science, Qingdao University, Qingdao, 266071, China)
,
Ding Jinliang
(College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China)
,
Wang Hongfeng
(College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China)
,
Wang Junwei
(Department of Industrial and Manufacturing System Engineering, The University of Hong Kong, Hong Kong, China)
資料名:
Applied Soft Computing
(Applied Soft Computing)
巻:
68
ページ:
847-855
発行年:
2018年
JST資料番号:
W2175A
ISSN:
1568-4946
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)