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김형태(Hyoungtae Kim) 한국산업경영시스템학회 2016 한국산업경영시스템학회지 Vol.39 No.3
In this paper we have tackled the outstanding inventory planning problems over new product launching period in a more holistic manner by addressing first the definition of efficient business rules to effectively control and reduce the inventory risks followed by the rigorous explanations on the implementation guide on suggested inventory planning rules. It is not unusual for many companies in the consumer electronics market to make a great effort to reduce the time to launch a new product because the ability to bring out higher performing products in such a short time period greatly increases the probability for them to remain competitive in the high tech market. Among so many newly developed products, those products with new features and technologies appeal to many potential customers while products which fail to win customers by design and prices rapidly disappear in the market. To adapt to this business environment, those companies have been trying to find the answer to minimize the inventory of old products so they can move to next generation products quickly with less obsolete material . In the experimental implementation of our rule-based inventory planning, Company ‘S’ reduced the inventory cost for the outgoing products as low as 49% of its peak level of its preceding product version in just 5 month after the adoption of rule-based inventory planning process and system. This paper concluded the subject with a suggestion that the best performance of rule-based inventory planning is guaranteed not from one-time campaign of process improvement along with system development but the decision maker’s continuing support and attention even without seeing any upcoming business crisis.
위험회피성향을 고려한 공급 불확실성下 신문팔이소년 문제에 대한 고찰
김형태(Hyoungtae Kim) 한국산업경영시스템학회 2013 한국산업경영시스템학회지 Vol.36 No.3
In this paper, the single-period inventory problem, what is called newsboy problem, has been revisited with two different conditions, uncertain supply and risk-averseness. Eeckhoudt et al. [5] investigated the effect of risk-averseness of a newsboy on the optimal order quantity in a stochastic demand setting. In contrary to Eeckhoudt et al. [5] this paper investigates the effect of risk-averseness in a stochastic supply setting. The findings from this investigation say that if α* represents the optimal order quantity without risk-averseness then the risk-averse optimal order quantity can be greater than α* and can be less than α* as well.
예방정비율(MOR) 모델링 방식이 수급계획의 최소설비예비율 산정에 미치는 영향
김형태(Hyoungtae Kim),이성우(Sungwoo Lee),김욱(Wook Kim) 대한전기학회 2017 전기학회논문지 Vol.66 No.12
In South Korea, minimum reserve rate, which is to satisfy reliability standard, has been determined by simulation result using WASP. But, it is still controversial whether the level of minimum reserve rate is adequate. Thus, in this study, various analyses of minimum reserve rate are being conducted. WASP uses the probabilistic simulation technique to evaluate whether reliability standard is satisfied. In this process, forced outage rate and maintenance periods of each generator play important roles. Especially, the long-term plan can be varied depending on how maintenance periods deal with. In order to model maintenance periods in the probabilistic simulation technique, WASP uses derating method. However, broad analyses have to be conducted because there are various ways including derating method to model maintenance periods which result in different results. Therefore, in this paper, 3 different maintenance outage rate modeling methods are applied to arbitrarily modeled system based on the basic plan for long-term electricity supply and demand of South Korea. Results show impact of each modeling method on minimum reserve rate.
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김형태(Hyoungtae Kim) 한국산업경영시스템학회 2013 한국산업경영시스템학회지 Vol.36 No.1
This paper makes a detailed comparison between two metrics designed for measuring customer's satisfaction in the retail industry. The first metric, which is called the customer service level, has not been widely used due to the intrinsic requirement on the parameter assumption(s) of the demand distribution. Unlike the customer service level metric the in stock ratio metric does not require any requirements on the demand distribution. And the in stock ratio metric is also very easy to understand the meaning. To develop the detailed planning activities for business with the in stock ratio metric on hand one should collect some information as fo llowing : I) POS (Point of sales) data, 2) Inventory Data 3) Inventory Trend.