Kan Fang

About Kan Fang

Kan Fang, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Tianjin University, specializes in the field of Scheduling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Simultaneous product platform design and scheduling on unrelated additive/subtractive hybrid machines

Balancing and scheduling of assembly line with multi-type collaborative robots

Model and metaheuristic for human–robot collaboration assembly line worker assignment and balancing problem

Approximation algorithms for mixed batch scheduling on parallel machines

An adaptive large neighborhood search algorithm for parallel assembly lines scheduling problem with complex fixture constraints

Rescheduling for new orders on a single machine with rejection

Balancing U-type assembly lines with human–robot collaboration

Precision marketing for financial industry using a PU-learning recommendation method

Kan Fang Information

University

Position

College of Management and Economics

Citations(all)

1593

Citations(since 2020)

948

Cited By

1035

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Kan Fang Skills & Research Interests

Scheduling

Top articles of Kan Fang

Simultaneous product platform design and scheduling on unrelated additive/subtractive hybrid machines

Industrial Management & Data Systems

2024/4/18

Balancing and scheduling of assembly line with multi-type collaborative robots

International Journal of Production Economics

2024/5/1

Model and metaheuristic for human–robot collaboration assembly line worker assignment and balancing problem

Computers & Operations Research

2024/3/1

Approximation algorithms for mixed batch scheduling on parallel machines

Journal of the Operational Research Society

2024/2/3

An adaptive large neighborhood search algorithm for parallel assembly lines scheduling problem with complex fixture constraints

RWTH Aachen: Master's Thesis

2015

Rescheduling for new orders on a single machine with rejection

European Journal of Operational Research

2012/11/16

Balancing U-type assembly lines with human–robot collaboration

Computers & Operations Research

2023/11/1

Precision marketing for financial industry using a PU-learning recommendation method

Journal of Business Research

2023/5/1

Song Chen
Song Chen

H-Index: 9

Kan Fang
Kan Fang

H-Index: 8

Solving the shortest path interdiction problem via reinforcement learning

International Journal of Production Research

2023/1/2

Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms

Journal of Management Science and Engineering

2022/3/1

Combinatorial Benders decomposition for mixed-model two-sided assembly line balancing problem

International Journal of Production Research

2022/4/18

Dian Huang
Dian Huang

H-Index: 2

Kan Fang
Kan Fang

H-Index: 8

A combinatorial Benders decomposition algorithm for parallel machine scheduling with working-time restrictions

European Journal of Operational Research

2021/5/16

Speed scaling in two-machine lot-streaming flow shops with consistent sublots

Journal of the Operational Research Society

2021

Milk-run routing problem with progress-lane in the collection of automobile parts

Annals of Operations Research

2020/8

See List of Professors in Kan Fang University(Tianjin University)