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Lei Liu
Department of Entrepreneurship, Marketing and Management Systems
https://sandbox.orcid.org/0000-0002-7132-3961
Email
Lei.Liu
nottingham.edu
cn
h-index
11
Citations
2
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2021
2024
Research activity per year
Overview
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Research output
(6)
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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
Branch-and-bound Method
66%
Makespan
44%
Robust Scheduling
33%
Scheduling Framework
33%
Risk Measures
33%
Activity Phase
33%
Re-entrant Flow Shop
33%
At-risk
33%
Two-machine Flow Shop
33%
Remanufacturing
33%
Turbine Blade
33%
Scheduling Approach
22%
Computational Experiment
22%
Robust Schedule
22%
Refurbished Products
15%
Residual Value
15%
Wear State
15%
Industrial Sector
11%
Network Model
11%
Scheduling Problem
11%
Timely Completion
11%
Manufacturing Environment
11%
Stochastic Characteristics
11%
Expected Performance
11%
Degree of Uncertainty
11%
Planning Approach
11%
Power Generation
11%
Branch-and-bound Algorithm
11%
Manufacturing Activity
11%
Decision Maker
11%
High-value Products
11%
Permutation Flow Shop Scheduling Problem
11%
Unexpected Events
11%
Industrial Level
11%
Stochastic Processing Times
11%
Markovian Approach
11%
Disruptive Effect
11%
Industrial Case
11%
Uncertain Events
11%
Phase-type Distribution
11%
Markovian
11%
Extreme Situations
11%
Processing Time
11%
Support Decision
11%
Active Networks
11%
Real Application
11%
General Distribution
11%
Variable Processing Times
11%
Markovian Model
11%
Uncertain Processing Time
11%
Mathematics
Minimizes
100%
Value at Risk
66%
Stochastics
55%
Risk Measure
33%
Heuristic Algorithm
33%
Approximates
33%
Decision Maker
22%
Network Model
22%
Residual Value
16%
Tradeoff
11%
Permutation
11%
Engineering
Scheduling Framework
33%
Remanufacturing
33%
Processing Time
33%
Blade Turbine
33%
Distribution Type
25%
High Value Product
19%
Design and Environment
16%
Decision Maker
16%
Flowshop Scheduling
16%
Network Model
16%
Real Application
16%
Industrial Sector
11%
Defects
11%
Power Generation
11%
