제2분과 : 생산관리 및 계량 2. 시스템적 사고의 한계를 넘어서

송한식 한국경영학회 1992 추계학술연구발표회 발표논문집 Vol.- No.-

GMDH를 이용한 패턴형성에 관한 연구

송한식,김영환 동아대학교 경영문제연구소 1998 經營論叢 Vol.19 No.-

不良損失을 고려한 多段階 로트生産의 生産스케줄 樹立에 관한 硏究 : 신발類 製造業體를 實例로 in a Case of Shoes Production

宋漢植 東亞大學校 大學院 1984 大學院論文集 Vol.9 No.-

The competitive strategy of an organization is represented by its policies with respect to the marketplace and its competitors; four major competitive weapons are cost, quality, availability and flexibility. For intermittent system, when the quality and flexibility are almost equal among competitors, cost and availability are critical factors to have advantage over other competitors. Intermittent system has two important characteristics regarding availability and cost. One is learning curve phenomenon and the other is scrap factor in production process. So, in this paper a model which finds the efficiency of system is proposed to represent competitive power from availability and cost which are under the influence of learning curve phenomenon and scrap factor. Especially, scrap factor is the cause of delay of order delivery and increase of cost and resulted in the deterioration of productivity. On the other hand learning, curve phenomenon in production process of one kind of item reduces the production time and costs. So, this paper has the idea to represent opportunity cost of waiting time of order and defective losses into profitability of system under certain scheduling rule. Besides profitability, average number of waiting orders and average waiting time of an order are considered as systems efficiency. To find profitability as profit per systems hour, the difficulty lies in to find out the waiting time of orders. Two methods are considered. One is by analytic queueing M/G/m model or Level Cross Analysis model. The other is Simulation model. Queueing model is difficult to accommodate practical real requirements into theoretical model and to expand mathematically. So, Simulation model is constructed. The imput variables are learning curve percentage (R), defective rate (p), set-up time (UP), rate of return (r), prices (P), raw material and labor costs (C), and feedback probability (d) to complete scrap deficiency. When these input variables are given, the simulation model finds the profitability, idle time of facilities, average number of waiting order (N), average waiting time (W),etc. Through numerical example of shoes production case, it was found out that scrap factor has severe influence on profitability than expected, and average number of waiting order was greatly influenced by systems utilization factor (ρ) and average waiting time was consistently stabled through the experiment. In addition, if we have practical past history of order arrival and order size, these data can be used to generate order arrival data, we can get profitability and other important systems characteristics which give some important information about the operation of intermittent productive system such as order processing rule or scheduling priority rule.

意思決定樹 作成 問題의 分析

宋漢植 東亞大學校 大學院 1989 大學院論文集 Vol.14 No.-

Constructing an optimal decision tree for a given decision table is an NP-Complete problem. A search algorithm for general graph searching problem has been applied to the decision tree construction problem. An estimation function h in the A( )search has been defined by using entropy of the set of unknown elements. The difficulties of the A( )search in decision tree construction have been found : the correlation of testing variables, and the fact that entropy reduction by testing a variable may be less than 1.0 The idea of new estimation function has been introduced to overcome the NP-Complete obstacles : the estimation function must reflect both the correlations among variables and the entropies of test variables. The conditions of estimation function are specified in order for the A( )search to be an"efficient" algorithm. To find out such a new estimation function is claimed to be a clue to the answer to the question of NP=P.

OR/MS의 스프레드시트 모형화의 장단점과 문제점 : Its Advantages and Disadvantages

송한식 동아대학교 경영대학 2001 經營硏究 Vol.- No.14

This study figured out the advantages and disadvantages of modeling with spreadsheet tools. It compared with LINDO with reasonable size of LP problems. There were 6 advantages. 1. Problem description and problem modeling can be done on the same spreadsheet. But it can not be done on LINDO. 2. Spreadsheet modeling helps communications among the users in conrcern by using the same tool. 3. Spreadsheet modeling helps understanding and expression of the problem. 4. Spreadsheet modeling is easy to accomodate multistage implicit relations in problem. 5. Secondary analysis on the sensitivity reports can be done on the same spreadsheet. 6. It can use macros for further analysis and model utilization. However, spreadsheet model is hard to verify its modeling. Mistranslation of the Solver terminologies into Korean causes serious differences between text books and spreadsheet modeling words such as 'Target Cell' and 'Objective Cell'.

후기 산업사회를 위한 교육

송한식,Song, Han-Sik 한국대학교육협의회 1999 大學敎育 Vol.102 No.-

제조업에서의 노동의 양극화

송한식 東亞大學校 1998 東亞論叢 Vol.35 No.-

This study concerns the dichotomies in manufacturing work: industrial manufacturing work and postindustrial manufacturing work. Industrial manufacturing work consists of making, moving, inspecting, loading and unloading. However postindustrial manufacturing work includes flew product design, research and development, and programming computer aided manufacturing machines. Four industrial manufacturing systems were visited as for case studies to analyze the dichotomies of work: pin manufacturing system, embroidering manufacturing, shoe making, and casting manufacturing system. The dichotomies in work were investigated in the respect of input/output of work, necessary work capabilities. and work duplication, work substitution. Also several issues from the dichotomies of work were distinguished such as social and economical issues, and individual, company, and governmental issues were investigated.

마이크로 컴퓨터를 이용한 多品種 少量生産 시스템의 전산화 事例

宋漢植 東亞大學校經營問題硏究所 1984 經營論叢 Vol.7 No.-

This paper showed the application of Micrcomputers(IBM-PC compatibles) to (ⅰ) the order entry and delivery data processings, (ⅱ) stock items keeping and inquiry, and (ⅲ) grouping the ordered items by their specifications or by their raw materials requirements in the custom products job shop or batch process systems. TAEKWANG BEND IND. CO. which produces bends products were the real example of this applocation study. Bends are specified by their shape(item name), types, schedules, sizes and raw materials, and ordeed items are specified by their custom name, order no, p. o. no. duedates,, and other remarks. In this company, above (ⅰ), (ⅱ), and (ⅲ) were serious problems because of its diversity of products and of its complexity of order entry and delivery processings. Thus it has been tried to develop the EDP systems for those problems by using an IBM-PC compatible computers. EDP system development was through the several stages: system analysis, system design, data base system design, program development and installment. For the easiness of system development, dBASE Ⅱ from Ashton-Tate was used. dBASE Ⅱ is relational data base management systems which is easy and powerful in system design and program development. Program was developed as menu driven system so as to perform the task by choosing proper options. Computer system was made up of main body, 10 mega byte hard disk, and printer as microcomputer system. Now days, because of continuous falling of hardware prices, it is better to computerize the daily transactions and to support the plan and control of the custom-products job shop or batch systems by using the micro level computers.

학습사회를 위한 교육 리엔지니어링 : 생산관리와 계량영영 교육을 사례로

송한식,안세영 한국생산관리학회 1996 韓國生産管理學會誌 Vol.7 No.3

시뮬레이션 함수 추정과 그 예

송한식 東亞大學校 經營問題硏究所 2001 經營論叢 Vol.22 No.-