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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
h-index
h10-index
h5-index
763
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。
71
引文
5
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。
43
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
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Keyphrases
Economic Lot Scheduling Problem
91%
Search Algorithm
80%
Genetic Algorithm
72%
Numerical Experiments
58%
Supply Chain System
43%
Power-of-two Policy
43%
Solution Approach
39%
Joint Replenishment Problem
37%
Mathematical Model
36%
Maintenance Scheduling
33%
Replenishment
33%
Supply Chain
32%
Scheduling Problem
30%
Basic Period Approach
26%
Extended Basic Period
26%
Flow Shop
26%
Buyers
25%
Common Cycles
22%
Deteriorating Items
22%
Transportation Fleet
22%
Replenishment Strategy
22%
Warehouse
22%
Hybrid Genetic Algorithm
21%
Efficient Search
21%
Production Schedule
21%
Multiple Buyers
20%
Optimal Cost
20%
Replenishment Cycle
20%
Fleet Maintenance
19%
Vendor-buyer
18%
Warehouse Space
18%
Project Completion Time
17%
Cost Curve
17%
Space Constraints
16%
Retailers
16%
Active Networks
16%
Simple Heuristics
16%
Capacity Constraints
15%
Lot Sizing Policies
15%
Common Replenishment Epoch
15%
Seasonal Products
15%
Lateral Transshipment
15%
Household Products
15%
Inspection Scheduling
15%
Optimal Lot Size
15%
Just-in-time
15%
Probability Distribution Function
15%
Lot Sizing
14%
Lot-sizing Problem
14%
Objective Value
14%
Computer Science
Scheduling Problem
100%
Searching Algorithm
44%
Supply Chain
43%
Genetic Algorithm
43%
Activity Network
25%
Completion Time
17%
Candidate Solution
16%
Randomly Generated Instance
16%
hybrid genetic algorithm
15%
Optimization Algorithm
15%
Space Requirement
15%
Resource Allocation
15%
Production Schedule
14%
Capacity Constraint
13%
Discretization
13%
Random Experiment
13%
Objective Function
12%
Probability Density Function
12%
Approximation (Algorithm)
11%
Monte Carlo Simulation
10%
Business Process Re-Engineering
10%
Junction Point
8%
Global Optimal Solution
7%
inventory cost
7%
Global Optimization
7%
piecewise linear
7%
Tracing Algorithm
7%
Integer Multiple
7%
Enterprise Resource Planning
7%
Allocation Problem
7%
Temperature Reading
7%
Time Constraint
7%
System Management
7%
Approximation Algorithms
7%
Coordination Model
7%
Chance-Constrained Programming
7%
Obtain Solution
7%
Computational Efficiency
7%
Critical Evaluation
7%
Radio Frequency Identification
7%
Identification Technique
7%
Service Provider
7%
Information Systems
7%
Utilization Rate
5%
Function Value
5%
Experimental Result
5%
Decision Supports
5%
Solution Quality
5%
Cycle Approach
5%
Engineering
Search Algorithm
74%
Genetic Algorithm
52%
Mathematical Model
41%
Numerical Experiment
34%
Joints (Structural Components)
30%
Capacity Constraint
20%
Junction Point
20%
Optimality
18%
Warehouses
16%
Multistage
15%
Optimal Cost
14%
Feasible Solution
13%
Production System
11%
Cost Function
11%
Candidate Solution
10%
Global Optimum
10%
Scheduling Decision
9%
Service Provider
9%
Electric Utility
7%
Probability Distribution Function
7%
Supply Chain Network
7%
Peak Load
7%
Location Model
7%
Production Time
7%
Probability Density Function
7%
Radio Frequency Identification
7%
Spanning Tree
7%
Failure Modes and Effects Analysis
7%
Robotic Assembly
7%
Assembly Line
7%
Balance Line
7%
Inventory Holding Cost
7%
Minimization Problem
7%
Simultaneous Equation
7%
Objective Function
7%
Discretization
7%
Optimal Cycle
7%
Polynomial Time
7%
Nonlinear Function
7%
Numerical Example
6%
Temperature Reading
5%
Decision Maker
5%
Robotics
5%
Distribution System
5%
Membership Function
5%
Binary Variable
5%
Programming Model
5%
