Faculty

Professor: Dr. FUJIMURA, Shigeru

Fujimura.jpg
Education

  • Apr.1979 - Mar.1983: Department of Electrical Engineering, Science and Engineering, Waseda University
  • Apr.1983 - Mar.1985: Master's course of Major in Electrical Engineering, Science and Engineering, Waseda University
  • Mar.1995: Dr. Engineering (Waseda University)

Work Experience

  • April.1985 - Mar.2003 Yokogawa Electric Corporation
  • Oct.2000 - Mar.2003 System Plaza Inc.(Subsidiary of Yokogawa)
  • April.2003 - Mar.2008 Associate Professor of Waseda University, Graduate School of Information, Production and Systems
  • April.2008- Professor of Waseda University, Graduate School of Information, Production and Systems

Specialty

  • Software Engineering, Object Oriented Modeling
  • Production Management, Planning and Scheduling

Associate Professor: Dr. WENG, Wei
(Institute of Liberal Arts and Science, Kanazawa University)

Light.jpg :link to her website

Lecturer Dr. Alfian Akbar Gozali
(Telkom Applied Science School, Telkom University)

Doctor Course Students

Doctor Course Students

YANG, Kaijie
Gebreyesus Goytom Desta
HU, Shiyue
XU, Shihui
WU, Like
YANG, Haofan
YI, Qiang
ZHANG, Jingyue
LIAO, Wenjie
LOU, Huen
XIE, Xiaowei
Xu, Runze

Master Course Students

Master Course Students

M2

HOU, Yujian
LIU, Yaotian
RIOS CHAVEZ, Fernando
XU, Shuaisong
SHUAI, Yulan
LIU, Hsuan-Hsuan
ZHANG, Zixuan
ZHAO, Runtong
PAN, Ying
YU, PeiSie
HUANG, Zizhan
CHAN, Hua-Ting

M1

HUANG, Kuan-Hsun
ZHNAG, Yueying
Ruan, Bihui
LIU, Jian
LIU, Ruixuan
CHIU, Tzu-Yun
CIP, Arkin Cenk
CHEN, Zefang
CHEN, Chongxuan
LI, Nanling

M0

SAKATA, Ikuma
MORIYAMA, Harutaka
NAKAMURA, Tatsumi
AMADA, Yuga



May 2024

Graduates in May 2024

  • HOU, Sicheng
  • Multi-objective and Multi-modal Microgrid Optimization based on Demand Side Management via Hybrid Particle Swarm Optimization
  • Fellek Getu Tadesse
  • Vehicle Routing Optimization with Graph Embedding Based on Deep Reinforcement Learning

March 2022

Graduates in March 2022

  • SONG, Wen
  • Deep Learning-based Time Series Forecasting for Smart Industries

March 2021

Graduates in March 2021

  • KURNIAWAN, Bobby
  • Models and Meta-heuristics for Energy-conscious Scheduling Under Time-of-use Electricity Tariffs

March 2020

Graduates in March 2020

  • Alfian Akbar Gozali
  • Study on Population Diversity Preservation for Island Model Genetic Algorithm

March 2017

Graduates in March 2017

  • OKADA, Ikutaro
  • Study on Resource-constrained Project Scheduling based on Genetic Algorithm

September 2012

Graduates in September 2012

  • WEI, Xin
  • Study on Quantum-Inspired Optimization Approaches
  • for Flow Shop Scheduling Problems

September 2011

Graduates in September 2011

  • WENG, Wei
  • A Multi-Agent Scheduling System for Just-In-Time Production
  • ■ ZHANG, Wenqiang
  • Research on Scheduling Problems in Machining and Assembly Processes using Multiobjective Evolutionary Algorithms

September 2024

Graduates in September 2024

  • ■ HE, Kaiyan
  • the accuracy of traffic sign detection methods based on YOLOv8
  • ■ GAO, Yuhan
  • Deep Learning Method for Product Surface Defect Detection: An Enhanced U-Net Approach
  • ■ ZHAI, Yifan
  • Optimized YOLOv8 Structure for Smart Factory Safety: Detection of PPE Violations and Safety Risks
  • ■ XIA, Chenyang
  • Steel surface defect detection based on Improved Yolov8
  • ■ SHEN, Yuhang
  • Object detection in adverse weather based on YOLO network model
  • ■ XU, Fanke
  • Two-Stage Stochastic Programming in a Disaster Relief Supply Chain based on Data-Driven Scenarios
  • ■ YU, Haokun
  • SDN-based network routing optimization for online gaming using genetic algorithm
  • ■ XU, Runze
  • Cloud Computing Resource Scheduling based on Sample Average Approximation with Prediction Error
  • ■ SUI, Liangchen
  • Active 3D Reconstruction with Neural Radiance Field towards Uncertainty
  • ■ LIU, Shuihan
  • Improved NSGA-II for Multi-objective Flexible Job-Shop Scheduling Problems in Sustainable Manufacturing

March 2024

Graduates in March 2024

  • ■ XIE, Xiaowei
  • Multi-modal and Multi-objective Cold Chain Logistic Optimization using Improved NSGA-II Algorithm
  • ■ YU, Haokun
  • SDN-based network routing optimization for online gaming using genetic algorithm
  • ■ HE, Tianhang
  • Cabbage Detection and Growth Analysis using RGB Images Captured by Unmanned Aerial Vehicle
  • ■ LIN, Mu-Chien
  • Deep Learning-based Quantification of Cabbage Crop Damage using Unmanned Aerial Vehicle
  • ■ ZHOU, Jinshu
  • Assembly Line Balancing Scheduling for Human Robot Collaboration: A Step Towards Industry 5.0

September 2023

Graduates in September 2023

  • ■ BI, Hanqi
  • Research and Application of Chinese Medical Question Answering System based on RoBERTa and Knowledge Graph
  • ■ ZHU, Bohan
  • Forecasting of sensor data in chemical factory by Transformer-based model
  • ■ HE, Ze
  • Preprocessed CSI-Enhanced Human Detection via PNN on Raspberry Pi
  • ■ GAO, Yuqi
  • Research on Flexible Job Shop Scheduling Problem based on Multi-Agent System
  • ■ CHIU, Jo-Ting
  • A Method of Malicious Transaction Detection for Cryptocurrency Based on SA-XGBoost Algorithm
  • ■ XIA, Qianyi
  • Chinese style clothing design assistant system based on fine-tuned diffusion models
  • ■ SUNG, Hsin-Yu
  • Object Detection for Fruit Volume Estimation of Cabbage by UAV-Based Images
  • ■ QIAO, Zhen
  • Data-driven Optimization for Energy-Saving Scheduling Problem with Decision Awareness
  • ■ TEPE, Fafa Priscillia
  • Improved LSTM-based DRL approach for Dynamic Job-Shop Scheduling Problem
  • ■ LU, Quan
  • A Memetic Algorithm for Multimodal Edge Server Placement
  • ■ LOU, Huen
  • ADMM-based Distributed Algorithm for Energy Management in Multi-microgrid System

March 2023

Graduates in March 2023

  • ■ GUO, Kaiyang
  • An Improved NSGA-III for energy-conscious many-objective flexible job-shop scheduling problem under time-of-use electricity tariffs
  • ■ WANG, Xinyu
  • Genetic Algorithm for Assigning Autonomous Guided Vehicles in Warehouse
  • ■ QIU, Weinan
  • An improved steganography method for images based on Generative adversarial networks
  • ■ SUN, Jianheng
  • Human Activity Recognition Based on Sensor Data
  • ■ ZHOU, Yitong
  • Pharmacies Retailing Forecasting by Using LSTM Model Based on Covid-19 Trend and Online Searching Behaviors

September 2022

Graduates in September 2022

  • ■ WU, Tiejing
  • A Study on Scientific Knowledge Graph Construction and Application
  • ■ ZHANG, Jingyue
  • Buffer Cascade in Scheduling Design of Air Intermodal Networ
  • ■ ZHOU, Jing
  • Large-scale Job Shop Scheduling based on Operation Decomposition and Ant Colony Optimization
  • ■ TANG, Pengfei
  • A Meta-heuristic Based Multi-Agent Model for Dynamic Scheduling in Cloud Manufacturing
  • ■ CHEN, Chun-Chung
  • GAN-based data augmentation for imbalanced data in classification-based anomaly detection for images
  • ■ ZHANG, Haotian
  • Improvement of Few-shot Named Entity Recognition with Manufacturing Text Using Data Augmentation and Contrastive Learning
  • ■ HUANG, Haoyu
  • An Improved NSGA-II Algorithm for Multi-objective Green Flexible Job Shop Scheduling Problem
  • ■ LIAO, Wenjie
  • The Optimization of Multi-objective FJSP Based on the Hybrid Algorithm

March 2022

Graduates in March 2022

  • ■ QIN, Shaowei
  • Metal surface defect detection system
  • ■ WANG, Luhan
  • Measurement of remaining amount of liquid pesticide by image recognition
  • ■ JIAO, Jinyu
  • AI inference acceleration research based on model compression and embedded GPU
  • ■ ZHI, Yuan
  • An Improved Economic Order Quantity Model for B2C E-Commerce Retail
  • ■ HU, Jinchen
  • Multi-objective Optimization in Microgrid using Renewable Energy
  • ■ WANG Yuxing
  • Research on Multi-objective shop scheduling based on improved NSGA-III
  • ■ GU, Yuefei
  • Production Scheduling Management Based on Multi-Agent System
  • ■ HUANG, Zhuo
  • Abnormal Behavior Detection of Industrial Workers Based on 3D-CNN

September 2021

Graduates in September 2021

  • ■ WANG, Xiaohan
  • Supplier Selection and Order Allocation based on Bi-leveling Programming Model and AHP-Weight Method
  • ■ HUANG, Mingsheng
  • An NFT marker based AR manual system providing hand gesture and voice interaction
  • ■ CAI, Jinyue
  • Pedestrian Detection in Adapting Daytime and Nighttime with Thermal Images Using a Classification Hypernetwork
  • ■ SHEN, Beichen
  • A convolutional network model for steel surface defect detection based on multiple mechanisms
  • ■ SONG, Yanliang
  • BASS-Based Uncertain Market Diffusion Model for Short Life Cycle Consumer Electronic Products
  • ■ QIAO, Fangyuan
  • Unsupervised Detection of Anomalous Sounds for Machine Condition Monitoring Using Memory Autoencoder
  • ■ ZHANG, Cihang
  • Research on Introducing Customer Management to Vehicle Routing Problem in Cold Chain Background
  • ■ ZHANG, Tianchi
  • Many-objective green Flexible Job Shop Scheduling based on improved NSDE-III
  • ■ HU, Shiyue
  • Monitoring Restricted Items of Logistics Based on Object Detection
  • ■ HE, Ci
  • Garbage classification system based on embedded system using deep learning convolutional neural network
  • ■ LAN, Huiqing
  • House-sharing Recommendation based on Heterogeneous Information Network that solving the Data Sparsity and Cold-start Problems
  • ■ LIU, Ruiyu
  • The impact of uncertain lead time on imported short shelf life packaged foods with stochastic demand
  • ■ WANG, Zhuo
  • Study of Total Flexible Job-shop Scheduling Problems Considering Worker Load

March 2021

Graduates in March 2021

  • ■ KODAMA, Haruka
  • Model and Solving Approach for Worker Assignment Problem with Time Window
  • ■ ZHANG, Yuxi
  • Accuracy Improvement of Order Quantity Forecasting on E-commerce Sales using Hybrid Method
  • ■ HARIYADI, Hanny prastya
  • All-in-one approach to solving multiple pickers routing problem
  • ■ ZENG, Han
  • Job shop scheduling with deep reinforcement learning based on shop states and modified network
  • ■ FENG, Wenxiu
  • Process time series data prediction based on robust and sparse twin support vector regression with Huber pinball loss

September 2020

Graduates in September 2020

  • ■ LI, Junhong
  • Improved Wolf Pack Algorithm for Solving Vehicle Routing Problem with Time Window in Cold Chain Logistics Distribution
  • ■ WU, Wenke
  • Traffic Signal Control based on Deep Reinforcement Learning
  • ■ WANG, Haojian
  • Image Generation for Fashion Image Editing with GAN
  • ■ HE, Sijia
  • Field Fire Smoke Detection Algorithm Based on Video Characteristic and Convolutional Neural Networks
  • ■ GAO, Siduo
  • Drowsiness Detection Based on Facial Behavior Analysis
  • ■ QI, Yuqi
  • Steel Surface Defect Detection with a Region-based Convolutional Network
  • ■ LIU, Dongsheng
  • Clothing Retrieval based on Clothing Label and Vision Feature
  • ■ REN, Yuan
  • Spatiotemporal Sequence Forecasting of Typhoon Images
  • ■ RONG, Xiaohui
  • Customers' behavior classification of using the coupons in Online-to-offline retailing
  • ■ WANG, Lei
  • Research on Hand Gesture Recognization based on Depth Camera

March 2020

Graduates in March 2020

  • SHANG, Wen
  • Anomaly detection based on image latent space by using GAN
  • ■ LIN, Yudi
  • Job Shop Scheduling Problem Solved by Self-adaptive Dispatching Rules Based on Deep Reinforcement Learning

September 2019

Graduates in September 2019

  • LIU, Hao
  • An Approach to solve Vehicle Routing Problem with Stochastic Demand using Safety Stocks by Improved PSO-GA
  • DAI, Yuhan
  • Maintenance Tools Recognition Based on Deep Learning
  • CHEN, Lei
  • Surface Defect Detection based on Fully Convolutional Networks
  • YANG, Tao
  • Electric Logistics Vehicle Routing Problem with Time Windows based on Genetic Algorithm
  • YANG, Kaijie
  • Short-term Traffic Flow Prediction with Up-and-Downstream Spatial-temporal Relationship based on LSTM
  • LIU, Kai
  • Short-term Power Consumption Prediction based on Deep Learning
  • LIN, Chenxiao
  • A General Product Identification Method for Mass Customization based on Deep Learning

March 2019

Graduates in March 2019

  • ZOU, Ziyan
  • Error Sample Card Generation and Detection with DenseNet
  • ZHANG, Jieying
  • Simulative Analysis of Passenger Flow on Urban Rail Transit
  • ZHANG, Lei
  • An Indoor Positioning Algorithm without Complicated Initialization Process based on Beacon Technology
  • KAHSAY, Asgele Gebrekidan
  • Maintenance scheduling optimization in Continuous processing plants using Genetic Algorithm: A case study in Particleboard processing plant
  • XIONG, Yue
  • Dynamic Relocation for Free-floating Bike Sharing System based on ACO

September 2018

Graduates in September 2018

  • JIN, Yuting
  • Flight schedule recovery with ant colony optimization
  • ZHANG, Yuhan
  • Genetic Algorithm with Effective Search Methods for Flexible Job Shop Problems
  • NIU, Liying
  • Credit card smudges and typographical errors recognition
  • HAO, Qianji
  • A hybrid algorithm based on NSGA-II and SA for solving the Multi-Objective Flexible Job-shop Scheduling Problems
  • WIDYANING, Chandramitasari
  • Deep Neural Network Model for Short Term Electricity Consumption Forecasting
  • SANGSASITORN, Natnicha
  • Virtual Machine Allocation in Dynamic Cloud Environment using Improved Particle Swarm Optimization
  • PAYUHAWORAKULCHAI, Polnapath
  • One-Dimensional Cutting Stock Problem: Optimize Action of Amount of Usable Leftovers in Stock

March 2018

Graduates in March 2018

  • Girmay Kahsay
  • INTEGRATED ORDER DATA MANAGMENT SYSTEM(IODMS) FOR FOOTWEAR INDUSTRIES(FIs) IN ETHIOPIA
  • ■ WU, Mengcheng
  • Research on indoor positioning algorithm for moving track analysis based on beacon fingerprinting

September 2017

Graduates in September 2017

  • HE, Yiyong
  • Improvements to genetic algorithm for flexible job-shop scheduling with overlapping in operations
  • ■ JIA, Yanchao
  • A Hybrid MTS-MTO Production Model with a Dynamic Decoupling Point for Flexible Flow Shops
  • LI, Jiarong
  • Multi-Objective Particle Swarm Optimization for Flexible Job-shop Scheduling Problems
  • ■ LI, Linna
  • Improvement of diversification and intensification in Teaching-learning-based optimization algorithm to solve job shop scheduling problems
  • ■ LIU, Zhenqi
  • Genetic Algorithm Approach solving Multi-objective Integrated Process Planning and Scheduling Problems
  • ■ SONG, Wen
  • Abnormal Data Analysis in Process Industries using Deep-Learning Method
  • ■ SUN, Jichuan
  • An Improved Dual Population Genetic Algo-rithm for Path Planning Problem
  • ■ YANG, Yifan
  • An Approach for Energy Conservation in Just-In-Time Production
  • ■ YU, Jia
  • Cointegration Approach for the Pairs Trading based on the Kalman Filter

March 2017

Graduates in March 2017

  • HU, Huixin
  • Allocation Optimization Model of Supply Chain Distribution with Economies of Scale for Transportation
  • ■ WONG, Long Hei Kelvin
  • Reactive scheduling for Job Shop Manufacturing Systems –
  • GA Regeneration Approach assisted with knowledge extracted from prior computations
  • ■ HASHIGUCHI, Keisuke
  • A Study of Automatic Production Scheduling using Inductive Learning

September 2016

Graduates in September 2016

  • ■ Dawit Birassa Kelbessa
  • Genetic Algorithm Approach for Assembly Line Balancing Problem on Stitching Line in Footwear Industries". (FIALBP): A Case of Peacock Shoe Factory
  • ■ JIANG, Yingzhe
  • Multi-agent based Just-in-time Manufacturing Scheduling System using Dynamic Remaining Time Estimation
  • ■ SHEN, Qian
  • Performance Improvement of Genetic Algorithm for Solving Resource-constrained Multi-project Scheduling Problem
  • ■ YE, Yifan
  • Planning optimization of multi-product multi-period dynamic supply chain
  • ■ YAMANAKA, Yuta
  • Study on a Production Sequencing Problem for an Assembly Line

March 2016

Graduates in March 2016

  • BAI, Man
  • An artificial immune algorithm for flexible job-shop scheduling problems by using critical path
  • WU, Yedan
  • A hybrid Scatter Search algorithm for dynamic job-shop scheduling problem
  • ■ YANG, Xiaoqin
  • A GA based Approach for Flow Shop Scheduling Problem with Lot Splitting
  • ■ XIA, Ran
  • A Particle Swarm Optimization Approach for Flexible Job-shop Scheduling Problems

September 2015

Graduates in September 2015

  • YE, Xiongfei
  • The Basic Introduction and Initial Applications for Freezing-Point (FP) Algorithm
  • ■ DING, Horan
  • A discrete artificial bee colony algorithm for the lot-streaming flow shop problem with chaos and dynamic adaptation method
  • ■ CHEN, Junru
  • Genetic Algorithm with Backward Adjustment for Just-In-Time Scheduling Problems
  • ■ YANG, Wenbai
  • A Multi-Objective Genetic Algorithm for Solving Resource-constrained Multi Project Scheduling Problems
  • ■ LI, Haoming
  • Bottleneck-based Scheduling Approach based on Theory of Constraints for a Flexible Flow Line

March 2015

Graduates in March 2015

  • KIM, Hyun Soo
  • A study on an Adaptive Inventory control Approach
  • ■ WU, Ruixue
  • Multi-agent method based on bottleneck strategy for solving Job Shop Scheduling
  • ■ LAN, Gaotang
  • Optimal design of a hybrid push/pull production system

September 2014

Graduates in September 2014

  • PENG, Xi
  • An estimation of distribution algorithm for minimizing the total flowtime in a constraint flowshop scheduling problems
  • ■ XU, Fangfang
  • Energy-Efficient Scheduling for Flexible Flow Shops by Using MIP

March 2014

Graduates in March 2014

  • KONO, Hiroshi
  • A study of rescheduling method for a nurse scheduling problem
  • ■ SUGAMATA, Tomomichi
  • Problem Analysis by Information Collection of Production Sites
  • ■ CAO, Huiyan
  • A hybrid architecture with memories for solving flexible job-shop scheduling problems

September 2013

Graduates in September 2013

  • GAO, Song
  • Simulation and optimization via genetic algorithm for semiconductor manufacturing process with complicated Operations
  • ■ SHEN, Tong-Han
  • Dynamic tabu algorithm for nurse schedule problem
  • ■ CHEN, Cheng
  • Job Shop Scheduling with MILP & Bottleneck based Multi-agent Method

March 2013

Graduates in March 2013

  • QIU, Wenqi
  • A Study on Maintenance-constrained Production Scheduling
  • ■ SHAN, Qicong
  • A Hybrid Quantum-Inspired Genetic Algorithm for Multi-objective Permutation Flow Shop Scheduling Problem
  • ■ WAN, Shan
  • Study on Multi-stage Tabu Search for Job Shop Scheduling Problem
  • ■ HUANG, I-Hsuan
  • A Fuzzy-based Multilevel Genetic Algorithm for Reentrant Flow Shop Scheduling Problem

September 2012

Graduates in September 2012

  • SEO, JungMin
  • A Study on Performance Improvement of R-B AATP
  • ■ SEO, ChulEun
  • Nurse scheduling problem with respect to circumstances
  • ■ SUN, Yi
  • Multi-objective Optimization Approach with Job-based Encoding Method for Semiconductor Final Testing Scheduling Problem
  • ■ WANG, Hsin I
  • Scheduling for two-stage hybrid flow shops with non-identical parallel machines in semiconductor manufacturing

March 2012

Graduates in March 2012

  • CHOU, JunHung
  • Multi-phase heuristic-based nurse scheduling
  • ■ CHO, SungOh
  • Hybrid genetic algorithm for solving multi-depot vehicle routing problem
  • TAKAHASHI, Kouji
  • Performance Improvement of Multi-Mode Resource-Constrained Project Scheduling
  • ■ ZHANG, Dongzhe
  • A Multilevel Evolutionary Algorithm for Large Size Reentrant Flow Shop Scheduling Problem
  • ■ NAKANISHI, Yu
  • Business Process Modeling for Production Scheduling
  • ■ MORIMOTO, Yoshifumi
  • A Production Scheduling System for Small and Medium Enterprises
  • ■ CHEN, Gang
  • An Effective Hybrid Genetic Algorithm and Local Search for Flexible Job-Shop Scheduling Problem

September 2011

Graduates in September 2011

  • LI, Jiang
  • A vehicle damage diagnosis and repair estimate system
  • ■ Liu, Yiqing
  • Hybrid Quantum Evolutionary Algorithm for Permutation Flow Shop Scheduling Problem
  • ■ Ungomporn Nattapong
  • A Study on Scheduling of Non-identical Parallel Machines under Due Date Constraints

March 2011

Graduates in March 2011

  • SON, JinKu
  • Development Approach for Production Scheduling System using Business Process Modeling
  • ■ KODAMA, Jun
  • Manufacturing Process Improvement with Visualization of Schedule Information
  • ■ FUKUI, Atsushi
  • Study of streamlined production system for MONOZUKURI
  • ■ HSIAO, ChanLong
  • Nurse scheduling with respect to circumstances
  • ■ KAN, JuYeol
  • Scheduling Adjustment Function for Autonomous Distributed Production System
  • ■ YANG, HongYu
  • Critical Path improvement of Genetic Algorithm for Multi-Mode
  • Resource-Constrained Project Scheduling Problem
  • ■ SUN, Chengxia
  • NSGA-II with local search algorithm for multiobjective permutation flowshop problem

September 2010

Graduates in September 2010

  • WEI, Wei
  • A hybrid local search approach in solving the mirrored traveling tournament problem
  • ■ DING, ChenHua
  • Time-Cost Trade-off Problem under Uncertainty Incorporating Multi-Objective Genetic Algorithm and Fuzzy Sets Theory
  • ■ ZHANG, Xiaofu
  • Study on Multi-Mode Resource Constrained Project Scheduling Problem
  • ■ ZHANG, Ran
  • Simulation of Multi-load AGV System Based on JIT Production
  • ■ KIM, Byungki
  • Stochastic Evolutionary Algorithm to Solve Fixed Charge Transportation Problems
  • ■ Liu, Cui
  • Arriving Time Control Algorithm for Dynamic Flexible Flow Shop Problem

March 2010

Graduates in March 2010

  • HUANG, Jiajun
  • Rule Extraction Of Setup Time For Production Scheduling System
  • ■ IHARA, Ken-ichi
  • Verification of Production Scheduling Approach using Inductive Learning 
  • ■ LIN, Guanyu
  • An Efficient Optimization Approach for Re-Entrant Flow Shop Problems by Using GA
  • ■ SHIN, Jinwook
  • Schedule Adjustment Approach based on Due Date for Reactive Scheduling
  • ■ YASUTAKE, Yuuta
  • Optimization Approach for Work Load Leveling Of Mixed-model Assembly Lines
  • ■ YOKOBORI, Satoshi
  • Useful Metrics Data for Selecting Business Partner of Software Development

September 2009

Graduates in September 2009

  • ■ XING, Dewei
  • Study on Hybrid Neighborhood Structure for Job Shop Scheduling Problem
  • ■ XU, Yanyan
  • Optimization for Batch Configuration and Sequencing with Set-up Time

March 2009

Graduates in March 2009

  • ■ YAMADA, Kazuhisa
  • A Study on resource leveling under uncertain processing time
  • ■ JIN, Yiyong
  • Production Planning corresponding to Dynamic Changes of Staffing and Requirement
  • ■ SOU, Jizen
  • A study on dynamic vehicle routing problem with split delivery
  • ■ TAN, Sicong
  • Solving Worker Allocation Problem for Manual Labor Production
  • ■ CHEN, Tzuhua
  • The R-B Advanced Available-to-Promise Model for Multi-Product
  • ■ MORIUCHI, Satoshi
  • Learning Mechanism for Production Setup Time through User Manipulation on Scheduling System
  • ■ WU, Hong-Chun
  • Resource Allocation for the Integrated Circuit Final Testing Industry Capacity Planning Based on De Novo Programming

September 2008

Graduates in September 2008

  • ■ WENG, Wei
  • Self Evolution Algorithm to Minimize Earliness and Tardiness Penalties with a Commom Due Date on a Single-Machine
  • ■ YAN, Xiaomeng
  • Optimization Approach for Sequencing Problem with Workload leveling in Mixed Model Assembly Line
  • ■ JUNG, Rueibin
  • Combinative method using simulated annealing and tabu search for solving resource leveling problem
  • ■ HUANG, Yuyan
  • A Study On Personnel Load Leveling Of LED Manufacturing Post-process
  • ■ YAO, Zheng
  • Using Decomposition Method and New Neighborhood Structure for Job Shop Scheduling Problem
  • ■ WEI, Xin
  • Improved Variable Neighborhood Search For Job Shop Problem
  • LUAN, Shaoyong
  • Production Scheduling Optimization by GA using NEH Concept

March 2008

Graduates in March 2008

  • GU, Ping
  • Dynamic Local Focusing Approach for Job Shop Scheduling Problems
  • ■ SHIBATA, Tomoki
  • Utilization of Scheduling Information Acquired Through User Manipulation on Production Scheduling System
  • ■ MURAYAMA, Takashi
  • Efficient Optimization Solution for Production Sequencing Problems of Mixed Model Assembly Line
  • ■ ISHIBASHI, Koji
  • A Study of the Production Scheduling under Uncertainty
  • ■ WU, Chiuhui
  • Evaluation of Real-Time Oriented Batch Advanced vailable-to-promise

September 2007

Graduates in September 2007

  • Enrique Valerio
  • Optimal Approach for an Effective Customer Order Synchronization Using CSCW Principles

March 2007

Graduates in March 2007

  • ■ GUO, Wei
  • Ant Colony System in The Routing Optimization for Physical Distribution
  • ■ KIM, Hyun Seung
  • A Sequencing Problem of Minimizing the Total Utility Work Time in Mixed Model Assembly Line
  • ■ TAKAMASU, Koichiro
  • Scheduling Adjustment Function for Autonomous Distributed Scheduling System
  • ■ ZHANG, Xue Rui
  • Generalization of Scheduling Information acquired through User Manipulation
  • ■ LI, Xue Ting
  • Study on a Production Sequencing Problem for an Assembly Line with Line Stops Based on Goal Chasing Approach
  • ■ LU, Yang
  • A Production Scheduling Approach using an Inductive Learning
  • ■ LOU, Ya Jie
  • An Efficient Decomposition Approach for Production Scheduling Problems Focused on the Longest Active Chain
  • ■ CHO, Sung Chul
  • Autonomous Distributed Scheduling Adjustment Function considering Set-Up Times with Optimum Moving Method

September 2006

Graduates in September 2006

  • ■ KIM, Tae Rok
  • Project Management for Effective Use of Slack Time
  • ■ XUE, hai
  • Self-Constructing Production Scheduling System
  • ■ ZHANG, Danxia
  • An Efficient Approach for Negotiation Using Due Date in a Supply Chain Network

March 2006

Graduates in March 2006

  • ■ SHIMIZU, Yasuhiro
  • Gantt Chart System for Analysis of Production Scheduling Work
  • ■ LEE, SunJue
  • Evaluating Learning Style as a Factor for Adaptation Interface in Mobile Device

September 2005

Graduates in September 2005

  • ■ ZHANG, Jingjing
  • Project Schedule Management Method for Agile Software Development

March 2005

Graduates in March 2005

  • ■ SHIGECHI, Junsuke
  • Construction Method of Global SCM with Providing Production Capability Information
  • ■ PARK, Soon Young
  • Automatic Buffer Size Setting Method for DBR Scheduling
  • ■ WOO, Ki Yun
  • Real-time Buffer Management for DBR Scheduling