PLI Lab
Shin, Jeong Hoon (신정훈)
boost7@hanyang.ac.kr
Research Area:
Flexible Manufacturing Systems
Controllable Processing Time


Semester: 2012-03-01
Lab Seminars:
1. A random-key genetic algorithm for the generalized traveling salesman problem 2022.08.01
2. A heuristic model for dynamic flexible job shop scheduling problem considering variable processing times 2022.01.19
3. Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning 2021.08.09
4. Scheduling unrelated parallel batch processing machines with non-identical job sizes and unequal ready times 2021.02.08
5. Production capacity planning and scheduling in a no-wait environment with controllable processing times: An integrated modeling approach 2020.08.11
6. A reinforcement learning approach to parameter estimation in dynamic job shop scheduling 2020.02.12
7. Training a neural network to select dispatching rules in real time 2019.07.31
8. Selecting scheduling heuristics using neural networks 2019.01.21
9. On the robustness of using balanced part mix ratios to determine cyclic part Input fequence into flexible flow systems 2018.08.21
10. A bi-objective identical parallel machine scheduling problem with controllable processing times: a just-in-time approach 2018.02.06
11. Minimizing total tardiness and earliness on unrelated parallel machines with controllable processing times. 2017.07.11
12. A Recovering Beam Search algorithm for the one-machine dynamic total completion time scheduling problem 2017.01.17
13. Single machine scheduling with controllable processing times to minimize total tardiness and earliness 2016.08.23
14. On the N-Job, One-Machine, Sequence-Independent Scheduling Problem with Tardiness Penalties: A Branch-Bound Solution 2016.07.26
15. An adaptive TS approach to JIT sequencing with variable processing times and sequence-dependent setups. 2016.07.07
16. A branch and bound algorithm for scheduling jobs with controllable processing times on a single machine to meet due dates. 2016.01.20
17. Single machine scheduling with discretely controllable processing times. 2015.08.18
18. Scheduling jobs on a single machine with release dates, delivery times and controllable processing times: worst-case analysis. 2015.08.04
19. Single CNC machine scheduling with controllable processing times to minimize total weighted tardiness. 2015.07.16
20. Single-machine sequencing with controllable processing times. 2015.02.24
21. Two Single Machine Sequencing Problems Involving Controllable Job Processing Times. 2015.02.12
22. Choosing the Job Sequence and Processing Times to Minimize Total Processing Plus Flow Cost on a Single Machine. 2015.01.26
23. Minimizing total tardiness on a single machine with controllable processing times. 2014.08.22
24. TWO MACHINE MIXED SHOP SCHEDULING PROBLEM WITH CONTROLLABLE MACHINE SPEEDS. 2014.08.13
25. A production planning in highly automated manufacturing system considering multiple process plans with different energy requirements. 2014.07.11
26. Effect of a speed reduction of containerships in response to higher energy costs in Sulphur Emission Control Areas. 2014.02.27
27. A Branch-and-Bound Algorithm for Minimizing the Energy Consumption in the PFS Problem. 2014.02.13
28. Single-Machine Sustainable Production Planning to Minimize Total Energy Consumption and Total Completion Time Using a Multiple Objective Genetic Algorithm. 2014.01.17
29. A methodology for static and dynamic scheduling of automation tasks in reconfigurable production systems. 2013.2.25
30. A methodology for static and dynamic scheduling of automation tasks in reconfigurable production systems. 2013.2.18
31. Dynamic rescheduling in FMS that is simultaneously considering energy consumption and schedule efficiency. 2013.08.08
32. Operational methods for minimization of energy consumption of manufacturing equipment. 2013.07.30
33. Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. 2013.07.16