Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Su-jian Li"'
Autor:
Su, Jian-li, Wang, Hua
Publikováno v:
In Defence Technology December 2021 17(6):1967-1975
Akademický článek
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Publikováno v:
DEStech Transactions on Engineering and Technology Research.
Based on the analysis of actual consumption data of a large number of consumable spare parts and the application effect of the basic random inventory model, the current statistics of equipment spare parts consumption data in China, four forecasting m
Autor:
Su-jian Li, Yan Gong
Publikováno v:
Journal of Highway and Transportation Research and Development (English Edition). 7:82-89
To avoid traffic congestion, improve transport efficiency, and meet the requirements of users and traffic flow equilibri urn, the fusion framework of urban traffic control and route guidance was studied. The characteristics of an urban traffic cont
Publikováno v:
Advanced Materials Research. :3292-3295
The advantages of hybrid HCR have not been fully displayed because recently planning and scheduling of hot strip mill seldom consider how to avoid slabs with extremely different temperatures charging into the same reheating furnace. In this paper, th
Publikováno v:
Advanced Materials Research. :2042-2046
To solve the hot rolling batch planning problem in production scheduling of iron and steel enterprises, a hot rolling batch planning model is formulated based on multiple travelling salesmen problem(MTSP) model. The objective is to minimize the total
Akademický článek
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Autor:
Qing-Yuan Li, Su-Jian Li
Publikováno v:
2009 International Conference on Machine Learning and Cybernetics.
The dynamic management of the safety stock is a new research field. The goal of this management is to cut down the cost in storage and holding of the products and to have the supply chain more efficient and more profitable. Researching on the VMI, th
Publikováno v:
2011 International Conference on Machine Learning & Cybernetics (ICMLC); 2011, p1896-1901, 6p
Autor:
Chen Wang, Su-Jian Li
Publikováno v:
2009 International Conference on Machine Learning & Cybernetics; 2009, p3511-3515, 5p