Research

year 2005 
author Jonghan Kim 
Keyword Case-based Reasoning, Integrated System, Quality Designing, Scheduling, Process Control, Steel Industry 
Abstract To cope with the rapid changes in business environment, typical large-scale complex industries such as the steel industry are in the process of building computer integrated production systems to strengthen competitiveness by promoting the flexibility and productivity of the production system. In particular, the promotion of the productivity and flexibility of the production process in the steel industry has been regarded as a core element in effectively meeting changes in the market. Despite such importance, however, few studies have been conducted to promote productivity and flexibility during the process of solving various problems in the steel industry. Promoting productivity and flexibility in the steel industry requires appropriate planning and execution of quality design and process control. The problem is extremely difficult and complicated because not only should the basic restraints in the quality design stage be considered but also the process planning and process capability during the process control stage be taken into account to realize said purposes.


To date, research activities carried out to solve such problems have approached overall problems by segregating them into several stages. However, it still is difficult to obtain an optimal solution even for the segregated problem within a realistic timetable. In addition, it raises yet another problem, i.e., difficulty to set targets that enhance the achievement level in process management during the quality design stage. This study is a result of an effort to develop a structure and solution of an integrated system that can make decisions regarding quality design, scheduling, and process control. At the same time, the solution improves the flexibility of the steelmanufacturing process by integrating and solving problems related to quality design and process management in the steel industry.


The proposed integration system is composed of a structure that solves the entire problem by linking three modules: (1) “quality design generation module,” which creates quality design; (2) “module that maximizes productivity in scheduling,” which considers the alternatives derived from quality design, and; (3) “process control module,” which seeks to achieve the optimum level of accomplishment in the process where the deduced quality design and scheduling are executed.


The quality design formation module presents a solution that creates optimum quality design using the case-based reasoning methodology. This module proposes and uses a fuzzy similarity index and a productivity maximization index to evaluate similar cases. It also presents a solution that can deduce a new alternative plan for quality design according to the requirements of customers, thereby suggesting its superiority as verified through experiments.


The scheduling creation module is based on the formulation of the Bin-Packing problem, which is characterized by several alternative plans for quality design and many customer orders. After developing the corresponding solution, the appropriateness and efficiency of the solution were verified through experiments.



Finally, the process control module seeks to achieve the optimum accomplishment level of the steel-making process where quality design and scheduling are executed. It proposes a forecast module for process control using a case-based reasoning methodology. The application of the model to experimental problems and to real industrial problems proved the superiority of the proposed solution. Moreover, since the process control module may work independently from the quality design and scheduling modules, it can be used effectively in the existing steel industry.



From the experiments, the resulting integrated approach exhibited superiority in terms of the accomplishment level compared to the existing step by step approach. Since the difference tends to increase gradually as the number of alternatives for quality design increases, the integrated approach is found to be more useful in solving actual problems.



This study contributed in raising productivity of the steel industry by integrating and giving solutions to quality design and process control problems of the steel industry, where alternative plans for quality design exist. 
c PhD 

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번호 c year 제목 author
61 MS  2003  Production Planning and Distribution Planning using Demand based mixed Genetic Algorithm in a Supply Chain Jung Im 
60 MS  2003  Design of a BOF Blowing Control Model Using Artificail Intelligence Jungjoon Park 
59 PhD  2003  Process Modeling and Performance Analysis Methodology toward Optimal Design of Manufacturing Systems [30] Kichang Lee 
58 PhD  2002  Flexible Job Shop Scheduling with Multi-level Job Structures [16] Yangja Jang 
57 MS  2002  A combined DEA and BSC methodology for evaluating organization efficiency [1] Bumsoo Kim 
56 MS  2002  Design and Implementation of Model Management System for Supply Chain Planning [1] Youngcheol Yang 
55 MS  2001  A Study on Components Development for Production Management Daiki Min 
54 MS  2001  A Study of Decision Support for the implementation of Cellular Manufacturing Systems. [1] Muynghee Byun 
53 MS  2000  A Study on Integrated Production Planning of Distributed Manufacturing Systems on Supply Chain Dosung Go 
52 MS  2000  Job Shop Scheduling for Minimizing the Sum of Earliness and Tardiness Dongsu Park 
51 MS  2000  Design of a Hybrid System in Integrating Kanban with MRP [2] Taeyoung Song 
50 MS  2000  A Study on Work Measurement Using Image Processing [8]
49 MS  1999  A Study on the Implementation of the Speech Recognition System for the Real-Time Decision Support of Manufacturing Cells [18] Eoksu Sim 
48 MS  1999  A Study on the Development of Event-driven MRP Components Considering Capacity Constraints [1] Seunghyun Yoon 
47 MS  1999  An Evaluation of Workload Limited Order Release Strategies considering Planning Stage in a Jop Shop Byeongdae Choi 
46 PhD  1999  A Study on the Manufacturing System State Based Scheduler using Neural Network and Simulator [20] Kitae Kim 
45 PhD  1999  A Study on Job Shop Scheduling Problems considering Production Capacity Adjustment [16] Daeyoung Chung 
44 MS  1998  Design of Integrated BOM Management System supporting Multiple Views Keumseok Kang 
43 MS  1998  A Study on UML representation of CIM-OSA and availability of analysis and design pattern in CIM-OSA [1] Seungoh Han 
42 MS  1998  A study on an efficient real-time deadlock-free control algorithm by using graph-theoretic approach [27] Jungwoon Yoo 
41 PhD  1997  A Study on the Integration of Loading and Scheduling in Flexible Manufacturing Systems [21] Sangbok Woo 
40 PhD  1997  A Study on FMS Design Justification Considering Part Type Selection and Performance Evaluation Hosub Shin 
39 PhD  1997  Computer-Aided Synthesis of the Execution Controllers for Workcells in Computer Integrated Manufacturing Systems [18] Sangkyun Kim 
38 MS  1997  A New Approach to Master Production Scheduling in the MRP environment [1] Sangdo Choi 
37 MS  1997  A Study on FMS Scheduling Problems Based on Priority Functions Generated by Genetic Programming ChangUk Kim 
36 MS  1997  A Scheduling Algorithm Considering Subcontractor and Machine Setup Cost in MRP Environment [1] Kichang Lee 
35 PhD  1997  A Study on the Integration of Process Planning and Scheduling [3] Kidong Kim 
34 PhD  1996  A Design Support System for the Process Design of Computer Integrated Manufacturing [2] Chankwon Park 
33 PhD  1996  An Improved Scheduling Heuristic Based on Batch Splitting Method for The Job Shop Scheduling Problem [4] Hanil Jeong 
32 MS  1996  A Study on the Generation and DB Construction of Modular BOM [1] Yonggu Ji 
31 MS  1995  A Study on the Group Scheduling Problem with Sequence-dependent Set-up Times in a Multi-stage Cellular Manufacturing Systems Jaesoo Shim 
30 MS  1995  A study on Real-Time Collection of Shop Floor Data Using Speech Recognition [2] Namjoo Kim 
29 MS  1995  An Object-Oriented Framework for the Implementation of Distributed Shop Floor Control in FMS [2] Kyungsuk Lee 
28 MS  1995  A study on intelligent dispatching strategy in Automated Manufacturing Systems [5] Seongwoo Lee 
27 MS  1995  A Study on knowledge Acquisition for Simulation-based Scheduling Expert System [1] Soohyun Lee 
26 PhD  1995  Design Support System for the Conceptual Design of Manufacturing Databases [13] Kitae Shin 
25 MS  1994  A Study on Development of a Knowledge Based Scheduler and Knowledge Acquisition through Simulation [1] Kitae Kim 
24 MS  1994  A Study on Distributed Shop Floor Control of Flexible Manufacturing Systems [4] Daeyoung Chung 
23 MS  1994  A Finitely Recursive Processes Approach to Modeling and Control of an FMC Jaeheuk Choi 
22 PhD  1994  A Study on Design of a Cooperative- Distributed Shop Floor Control System for Computer Integrated Manufacturing [19] Namkyu Park 
21 MS  1993  A Supervisory Control Approach to Rapid Implementation of Low-Level Control Software for FMC [1] Sangkyun Kim 
20 MS  1993  A Study on the FMS Shop Floor Control by Bidding among Autonomous Objects Jangsuk Moon 
19 MS  1993  A Study on Effects of Order Release Policies to Performance of Manufacturing Systems Choonghwan Ahn 
18 MS  1993  A Comparative Analysis of Production Control Policies under Production Uncertainty [5] Janghan Lee 
17 MS  1993  A Study on the Computer-Aided Process Planning for Rotational Parts Considering Machine Status [1] Sungbum Chun 
16 MS  1992  A Decision Support System for A Machine Specifications in Design of An FMS [6] Youngkwan Ko 
15 MS  1992  Event-Driven On-Line Operational Control of Flexible Manufacturing Systems Jonghun Park 
14 MS  1992  A Study on Production Planning Problems in a Flexible Machining and Assembly System [1] Sukang Lee 
13 PhD  1991  An Integrated Decision Support System for FMS Planning and Control Problems [11] Seongyoung Jang 
12 MS  1991  A Study on Image Processing and CAD - Vision System Interface of Manufactured Parts [1] Kidong Kim