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國立陽明交通大學研發優勢分析平台 首頁
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查看斯高帕斯 (Scopus) 概要
姚 銘忠
教授
運輸與物流管理學系
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h10-index
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776
引文
15
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
79
引文
6
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
50
引文
3
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
1993 …
2023
每年研究成果
概覽
指紋
網路
計畫
(17)
研究成果
(57)
獎項
(2)
指紋
查看啟用 Ming-Jong Yao 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Active Networks
9%
Basic Period Approach
25%
Business Process Re-engineering
9%
Buyers
8%
Cost Curve
8%
Decision Maker
11%
Deteriorating Items
24%
Economic Lot Scheduling
16%
Economic Lot Scheduling Problem
48%
Efficient Search
11%
Extended Basic Period
25%
Feasibility Testing
9%
Fleet Maintenance
8%
Flow Shop
12%
Genetic Algorithm
36%
Global Optimal Solution
9%
Global Optimum
10%
Household Products
16%
Hybrid Algorithm
11%
Inspection Scheduling
8%
Joint Replenishment Problem
24%
Lateral Transshipment
16%
Lot Sizing Policies
8%
Maintenance Interval
10%
Maintenance Scheduling
24%
Mathematical Model
21%
Multiple Buyers
20%
Numerical Experiments
27%
Objective Function Value
8%
Objective Value
12%
Optimal Cost
8%
Optimal Objective Function
12%
Optimal Resource Allocation
9%
Power-of-two Policy
39%
Project Completion Time
9%
Replenishment
18%
Replenishment Strategy
16%
Retailers
10%
Scheduling Problem
8%
Search Algorithm
56%
Seasonal Products
16%
Simple Heuristics
8%
Single Vendor
12%
Solution Approach
31%
Stochastic Activity Networks
9%
Supply Chain
14%
Supply Chain System
24%
Transportation Fleet
8%
Vendor-buyer
20%
Warehouse
14%
Computer Science
Activity Network
27%
Allocation Problem
8%
Approximation (Algorithm)
12%
Approximation Algorithms
8%
Candidate Solution
15%
Capacity Constraint
14%
Chance-Constrained Programming
8%
Completion Time
18%
Complexity Analysis
8%
Computational Efficiency
8%
Coordination Model
8%
Decision Maker
9%
Decision Supports
6%
Discretization
14%
Experimental Result
5%
Genetic Algorithm
54%
Global Optimal Solution
22%
Global Optimization
8%
hybrid genetic algorithm
18%
Integer Multiple
8%
Just-in-Time
8%
Mathematical Modeling
29%
Minimization Problem
8%
Monte Carlo Simulation
11%
Objective Function
18%
Optimization Algorithm
16%
piecewise linear
8%
Planning Horizon
5%
Polynomial Time
10%
Probability
22%
Probability Density Function
12%
Production Schedule
13%
Random Experiment
13%
Resource Allocation
16%
Scheduling Problem
100%
Search Procedure
6%
Searching Algorithm
90%
Service Provider
12%
Solution Quality
5%
Space Requirement
16%
Supply Chain
46%
Time Constraint
8%
Tracing Algorithm
8%
Utilization Rate
6%
Mathematics
Convex
7%
Cost Function
8%
Cumulative Distribution Function
8%
Decision Maker
9%
Discretization
16%
Feasible Solution
10%
Fourier Series
8%
Genetic Algorithm
45%
Global Optimum
8%
Integer
20%
Manufacturing System
14%
Mathematical Modeling
41%
Membership Function
5%
Minimization Problem
8%
Minimizes
58%
Monte Carlo Method
6%
Nonlinear
8%
NP-hard Problem
8%
Numerical Example
13%
Numerical Experiment
73%
Objective Function
24%
Optimal Number
8%
Optimality
38%
Opts _ _ _
8%
Period Approach
20%
Planning Horizon
5%
Polynomial Time
8%
Probability Density Function
14%
Probability Distribution Function
16%
Random Experiment
5%
Random Search
8%
Search Algorithm
82%
Simultaneous Linear Equation
8%
Spanning Tree
8%
Stochastics
6%
Total Cost
49%
Unit Time
11%
Upper Bound
8%
