Research

year 2009 
author Kiheon Nam 
Keyword ELV Management Process, Automated Identification Technology, Economic Feasibility, Reusable Parts 
Abstract As a depletion of natural resources and a disposal of waste matter became social issues, the responsibility of companies extended to product recovery and disposal. In automotive industry, EU`s regulations are intended to remove lead, cadmium, mercury and other heavy metals from end-of-life vehicles(ELV). By 2015, all auto-makers should have to recover all scrapped cars about 95 percent of the parts.

The parts of ELV should be reused because they are usually expensive and contain many pollutant. But there are limited regulations about ELV and low customers´ trust for the reliability of the reusable parts.

In this study, we proposed the implementation of the automated identification technologies like bar code technologies and RFID technologies in End-of-life Vehicle Management Process. By implementing the automated identification technologies, customer reliability is increased due to the information tracking. In addition to this, an efficiency of the processes is increased as the processes are automated. And a profit is maximized as the estimation for the salvage value of ELV parts becomes more accurate. We, not only just proposed the solutions, but also conduct a quantitative analysis and a simulation to figure out an economic feasibility of the implementation of the automated identification for the solutions we proposed.

We categorized the automated identification technologies into three types : bar code technology, passive RFID technology and active RFID technology. For the implementation of the automated identification technologies, the facility investments and the tag costs are required. As the facility investments and tag attachments are conducted, the reuse rate for the ELV parts is increased, the efficiency of the processes are increased and estimation for a salvage value of ELV parts becomes more accurate.

Based on the results of the simulation studies, sales for a reusable parts are increased and the costs for the reusing and disposing are decreased due to the implementation of the automated identification technologies. In addition to this, the customer dissatisfaction costs and opportunity costs are decreased as the estimation for the salvage value of the ELV parts becomes more accurate. We compared 4 types of scenarios : manual, bar code, passive RFID and active RFID. We found that the implementation of the bar code technology and passive RFID technology is more efficient than any other scenarios. In the case of active RFID, the performance of the system is decreased due to the expensive tag costs.

We conduct the sensitivity analysis to figure out the effect of each factor that affects on the system performance. Based on results of the sensitivity analysis, we found the fact that the scenario which attempts the implementation of the passive RFID technology is very sensitive to the tag cost. And the reuse rate and the process efficiency should be increased over some levels to get some profits by implementing the automated identification technologies.

We believe that the simulation model which we proposed is very helpful for the companies who try to implement the automated identification technologies in their system. The simulation model can be used as a quantitative source for the decision making. Also, this study broadens the study field of the RFID application in the situation that the most of RFID application studies are focused on the supply chain management. 
c MS 
번호 c year 제목 author
111 MS  2004  A Study on business process model for extended and integrated supply chain planning : Focused on negotiation [5] Yuncheol Kang 
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104 MS  1996  A Study on the Generation and DB Construction of Modular BOM [1] Yonggu Ji 
103 PhD  2002  Flexible Job Shop Scheduling with Multi-level Job Structures [16] Yangja Jang 
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101 MS  2000  Design of a Hybrid System in Integrating Kanban with MRP [2] Taeyoung Song 
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99 MS  2012  Load Leveling in Project Scheduling Considering Work-in-Process Inventory [18] Sungjin Lee 
98 MS  2012  Load Leveling in Project Scheduling Using Partial Adjustment and Diffusional Relaxation Method [12] SungHoon KIM 
97 MS  2008  An Study abou the Application and Effect of RFID Technology in the Activity Collecting Information to Improvement of Manufacturing Process [10] Sungho Jo 
96 MS  1993  A Study on the Computer-Aided Process Planning for Rotational Parts Considering Machine Status [1] Sungbum Chun 
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92 MS  1995  A Study on knowledge Acquisition for Simulation-based Scheduling Expert System [1] Soohyun Lee 
91 MS  1998  A Study on UML representation of CIM-OSA and availability of analysis and design pattern in CIM-OSA [1] Seungoh Han 
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86 PhD  1997  Computer-Aided Synthesis of the Execution Controllers for Workcells in Computer Integrated Manufacturing Systems [18] Sangkyun Kim 
85 MS  1997  A New Approach to Master Production Scheduling in the MRP environment [1] Sangdo Choi 
84 MS  1991  A Study on Performance Evaluation of Production Plan for FMS Using Queueing Network [1] Sangbok Woo 
83 PhD  1997  A Study on the Integration of Loading and Scheduling in Flexible Manufacturing Systems [21] Sangbok Woo 
82 MS  1988  Development of a Classification and Coding System through Fuzzy Sets Approach [1] Namkyu Park 
81 PhD  1994  A Study on Design of a Cooperative- Distributed Shop Floor Control System for Computer Integrated Manufacturing [19] Namkyu Park 
80 MS  1995  A study on Real-Time Collection of Shop Floor Data Using Speech Recognition [2] Namjoo Kim 
79 MS  2007  A Study on Utility Value and Fairness of Information Sharing in Supply Chain [18] file Myongran Oh 
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76 PhD  2010  Enhancing Flexibility and Responsiveness in Sales Order Management [54] Mokmin Park 
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71 MS  2011  A Study on Real Time Progress Monitoring Methodology and Effects based on RTLS in Project Shop [27] Kyounghwi Tae 
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68 MS  1994  A Study on Development of a Knowledge Based Scheduler and Knowledge Acquisition through Simulation [1] Kitae Kim 
67 PhD  1999  A Study on the Manufacturing System State Based Scheduler using Neural Network and Simulator [20] Kitae Kim 
66 MS  1989  A Study on the Computer and Database Location of Distributed Computer Systems in FMS [1] Kilsup Yang 
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