author Chanho Hwang 
2nd author  
presenter Chanho Hwang 
info  
year 2016 
category IC 
start / end date 2016.10.13 
city / nation 2016.10.14 
학회 SISE 
keywords Inventory management, Deep learning, Support Vector Machine, 3D-camera, ingeger program 
abstract Inventory management has been treated as an important subject in the manufacturing industry. There are many kinds of technologies and research using barcode and RFID(Radio Frequency identification) technology. But, most inventory warehouses check their real inventory once or twice a year in order to find calculate differences from the online inventory. To reduce this kind of effort and cost, we need a new system using other technology.
Because of this reason, this research will suggest a new inventory management system using Deep Learning, the Support Vector Machine, and 3D-Camera technology. Research consists of three main parts. First, the 3D-Camera acquires the color of the inventory color and picture of the depth. Second, it finds the inventory type using Deep-Learning and Support Vector Machine technology. Third, the system counts the inventory quantity using depth data. This research includes some constraint conditions and assumptions. But it can be useful in real-life industry. By completing this process, we will be able to make sure that the real inventory amount and the inventory amount online correspond at all times. 

학회발표

번호 category 학회 제목 author presenter year
95 IC  ICIMSA  Internet of Things-Enabled Supply Chain Performance Measurement Model file Abdallah J. Dweekat  Abdallah J. Dweekat  2016 
94 IC  ICPR  Business Process Modeling for developing a performance measurement system using the Internet of Things file Gyusun Hwang  Jinwoo Park  2015 
93 IC  CIE  A batch splitting heuristic for dynamic job shop scheduling problem Hanil Jeong    1996 
92 IC  CIE  A decision support model for the initial design of FMS Hosub Shin    1996 
91 IC  ICARCV  A Discrete Control Approach to Robotic Cell Operating System Design Jonghun Park    1996 
90 IC  PCM  An Intelligent Batch Splitting method for Schedule Improvement in MRP Environment Hanil Jeong    1996 
89 IC  PCM  FMS Scheduling Strategies in a Distributed Coordination Environment Jonghun Park    1996 
88 IC  ICPR  A Study on FMS Scheduling Problems Based on Priority Functions Generated by Genetic Programming ChangUk Kim    1997 
87 IC  ICPR  A Scheduling Algorithm considering Subcontract cost in MRP Environment Kichang Lee    1997 
86 IC  IFAC on IMS  A Weighted Load Balancing Heuristic that Minimizes Makespan in Alternative Routing and Machine Environment Kidong Kim    1997 
85 IC  APIEMS  An Integrated Approach for Loading and Scheduling of a Flexible Manufactureing System Sangbok Woo    1999 
84 IC  APIEMS  A Study on Developing a Scheduling System in Alternative Routing and Machine Environment Kidong Kim    1999 
83 IC  IW on IMS  Maximally permissive adaptive control of an automated manufacturing cell Sangkyun Kim    1999 
82 IC  ICPR  An Algrorithm for Job Shop Scheduling Problem with Due Date Constraints Considering Operation Subcontract Daeyoung Chung    2000 
81 IC  INFORMS-KORMS  Hybrid Algorithms in Integrated Quality Design & Scheduling Jonghan Kim    2000 
80 IC  INFORMS-KORMS  Development of capacitated event-driven MRP components using object oriented method Seunghyun Yoon    2000 
79 IC  PAIS  Knowledge Acquisition using Neural Network and Simulator Kitae Shin    2001 
78 IC  SeoulSim  Design for a Hybrid System of Integration Kanban with MRPII Taeyoung Song    2001 
77 IC  GECCO  A Study on the Resource Allocation Planning for Automated Container Terminals Yangja Jang    2001 
76 IC  ICPR  Development of a Decision Support System for the formulation of Manufacturing Kichang Lee    2001