author Sumin Han 
2nd author Sumin Han 
presenter Gyusun Hwang 
info ICDMCE 2016 
year 2016 
category IC 
start / end date 2016-04-13 
city / nation Kyoto/ Japan 
학회 ICDMCE 
keywords Internet of Things, Disaster management, Response system, Resource Allocation 
abstract In Korea, the damage recovery cost of water side structure accounts for more than 50% of the supplementary budget. Therefore previous studies have targeted the water sided structures to build an effective disaster recovery plan and better manage the recovery resources. However there has been only a little attention paid to collecting and capturing the real-time data. For most disaster recovery process, recovering multiple numbers of damaged sites is common. Therefore it is important to collect the real-time information of the damage, recovery resource, and etc., since these components are essential to make an effective recovery plan. However the dynamic characteristics of recovery process and planning make it difficult to gather such data.
This study seeks to design an effective disaster response system using the concept of Internet of Things (IoT) in order to lessen the impact of disasters. For this reason, this study defines and classifies the unexpected situations into cases and presents the architecture of the response system using IoT. Also, we have developed the method to evaluate the recovery resources capabilities and resource allocation algorithm which utilizes the data collected from IoT. Finally a simulation study has been conducted to verify the proposed system. The works from study will help identify the real-time recovery situation with IoT and allocate recovery resources to various damaged areas optimally. 

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번호 category 학회 제목 author presenter year
75 IC  ISCM  Integrated Models for Multi-level Planning and Scheduling in Supply Chain Haejoong Kim    2006 
74 IC  INFORMS-KORMS  Hybrid Algorithms in Integrated Quality Design & Scheduling Jonghan Kim    2000 
73 IC  INFORMS-KORMS  Development of capacitated event-driven MRP components using object oriented method Seunghyun Yoon    2000 
72 IC  INFORMS  A Study on emergency logistics problem after massive natural disaster Sumin Han  Sumin Han  2014 
71 IC  IJIE  DEVELOPING GOOD QUALITY PERFORMANCE MEASURMENT MODEL TOWARD SMART FACTORY Gyusun Hwang  Gyusun Hwang  2016 
70 IC  IIE  Development of a Grid-Enabled MRP Process in RFID-Based APS Hyoung-Gon Lee    2007 
69 IC  IFORS  A Closed-loop Supply Chain Coordination Model Considering the Effect of Regulation Alternatives Youngwoo Kim    2011 
68 IC  IFAC on IMS  A Weighted Load Balancing Heuristic that Minimizes Makespan in Alternative Routing and Machine Environment Kidong Kim    1997 
67 IC  IEOM  A Real-time Information System Using RFID for Visually Impaired Kyounghwi Tae    2011 
66 IC  IEOM  Designing an effective scheduling scheme considering multi-level BOM in hybrid job shop Sumin Han    2012 
65 IC  IEOM  Relieving electric power dependency during shortage with an on-site solar power supply CHOE SANG YUN  CHOE SANG YUN  2015 
64 IC  ICUT  A Framework for the Measurement of Supply Chain Performance in Ubiquitous Sensor Network Jaehyun Kong    2007 
63 IC  ICRA  An On-Line Production Scheduler using Neural Network and Simulator based on Manufacturing System State file Kitae Kim    2001 
62 IC  ICQT  A Token Pricing Scheme for Internet Services Dongmyung Lee    2011 
61 IC  ICPR  Business Process Modeling for developing a performance measurement system using the Internet of Things file Gyusun Hwang  Jinwoo Park  2015 
60 IC  ICPR  A Study on FMS Scheduling Problems Based on Priority Functions Generated by Genetic Programming ChangUk Kim    1997 
59 IC  ICPR  A Scheduling Algorithm considering Subcontract cost in MRP Environment Kichang Lee    1997 
58 IC  ICPR  An Algrorithm for Job Shop Scheduling Problem with Due Date Constraints Considering Operation Subcontract Daeyoung Chung    2000 
57 IC  ICPR  Development of a Decision Support System for the formulation of Manufacturing Kichang Lee    2001 
56 IC  ICPR  Combined production and distribution planning using demand based mixed Genetic Algorithm in a supply chain file Sungwon Jung    2003