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Kang-Ting Ma
Institution:
National Dong Hwa University
Observed institutions:
National Tsing Hua University,
National Dong Hwa University,
National Science and Technology Council,
Feng Chia University
ORCID:
0000-0003-2735-7264
Observed ORCID:
0000-0003-2735-7264
OpenAlex ID:
A5066610238
Digital transformation to empower smart production for Industry 3.5 and an empirical study for textile dyeing
2020
·
Chien-Chun Ku
, Chen-Fu Chien
, et al.
·
Computers & Industrial Engineering
·
119
UNISON framework with fuzzy decision tree for water conservation in the dynamic scheduling of the textile dyeing process
2024
·
Chien-Chun Ku
, Kang-Ting Ma
, et al.
·
Industrial Management & Data Systems
·
5
Integrating genetic algorithm and simulation for stochastic flow shop scheduling with delivery risk in System-in-Package assembly
2025
·
Kang-Ting Ma
, Che-Wei Chou
, et al.
·
Computers & Industrial Engineering
·
4
Knowledge-based framework for addressing alternative optima in DEA-based project portfolio selection of IC design projects: an empirical study
2025
·
Pei-Min Huang
, Kang-Ting Ma
, et al.
·
Computers & Industrial Engineering
·
4
Type II sensitivity analysis of cost coefficients in the degenerate transportation problem
2013
·
Kang-Ting Ma
, Chi-Jen Lin
, et al.
·
European Journal of Operational Research
·
3
A Hybrid Model of Reinforcement Learning and Swarm Intelligence for Dynamic Flexible Scheduling in Robotic-Arm Production Lines
2026
·
Jia-Xuan Khoo
, Yi-Yun Ni
, et al.
·
Research Square
PDF
A Hybrid Hierarchical Heuristic Reinforcement Learning Framework for Dynamic Multi-load AGV Dispatching with Opportunistic Picking
2026
·
Che-Wei Chou
, Yu-Teng Hsu
, et al.
·
SSRN Electronic Journal
PDF
Optimizing Pricing and Inventory Decisions in Vendor-Buyer Supply Chains Through a Multi-agent Artificial Intelligence Framework Under a Stackelberg Game Model
2025
·
Thi Thuy Dung Dinh
, Kang-Ting Ma
, et al.
·
Lecture notes in mechanical engineering
Unison Decision Framework for Water Conservation of Dynamic Scheduling and an Empirical Study in Textile Industry
2022
·
Chen-Fu Chien
, Chien-Chun Ku
, et al.
·
SSRN Electronic Journal
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Works count:
9
Citation count:
135
H-index:
4
I10-index:
1
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