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Lei Liu
Department of Entrepreneurship, Marketing and Management Systems
https://orcid.org/0000-0002-7132-3961
Email
Lei.Liu
nottingham.edu
cn
h-index
11
Scopus Citations
2
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2021
2024
Research activity per year
Overview
Fingerprint
Network
Research output
(6)
Fingerprint
Dive into the research topics where Lei Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Keyphrases
Active Networks
44%
Activity Phase
33%
At-risk
77%
Branch-and-bound Algorithm
44%
Branch-and-bound Method
66%
Computational Experiment
33%
Decision Maker
22%
Degree of Uncertainty
15%
Disruptive Effect
11%
Economic Viability
15%
Expected Performance
22%
Extreme Situations
22%
Flow Shop Scheduling Problem
11%
General Distribution
22%
Heuristic Algorithms
33%
High-value Products
15%
Industrial Case
22%
Industrial Level
15%
Industrial Sector
15%
Makespan
88%
Manufacturing Activity
44%
Markovian
44%
Markovian Approach
22%
Markovian Model
11%
Network Model
22%
Network Type
33%
Phase-type Distribution
55%
Power Generation
15%
Processing Time
33%
Re-entrant Flow Shop
33%
Refurbished Products
15%
Remanufacturing
77%
Remanufacturing Process
33%
Repair Method
15%
Residual Value
15%
Risk Measures
33%
Robust Schedule
33%
Robust Scheduling
100%
Scheduling Approach
33%
Scheduling Framework
44%
Stochastic Processing Times
22%
Support Decision
11%
Timely Completion
11%
Turbine Blade
100%
Two-machine
44%
Two-machine Flow Shop
33%
Uncertain Events
22%
Used Parts
11%
Variable Processing Times
11%
Wear State
15%
Computer Science
Activity Network
44%
Activity Phase
33%
Bound Approach
33%
Branch-and-Bound Algorithm
33%
Branch-and-Bound Algorithm Design
50%
Computational Experiment
22%
Decision Maker
22%
Flowshop Scheduling
22%
Heuristic Algorithm
33%
Industrial Case
16%
Phase Type Distribution
61%
Processing Time
88%
Real Application
11%
Reentrant
33%
Scheduling Problem
33%
Unexpected Event
11%
Value at Risk
83%
Engineering
Blade Turbine
100%
Decision Maker
16%
Defects
19%
Design and Environment
16%
Distribution Type
25%
Flowshop Scheduling
16%
Gas Fuel Manufacture
8%
High Value Product
19%
Industrial Sector
19%
Network Model
16%
Power Generation
19%
Processing Time
50%
Real Application
16%
Remanufacturing
66%
Scheduling Framework
41%
Scheduling Strategy
16%
