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金槿種 弘益大學校 東北亞企業經營硏究所 2005 企業經營硏究 Vol.2 No.-
Sobel and Zhang worked for inventory policies for systems with stochastic and deterministic demand. They proved that if there is stock in the system, a modified (s,S) policy is optimal with a setup cost to meet the stochastic demand. If there is a smoothing cost instead of the setup cost, the problem corresponds to a standard model with one source of demand. On the other hand, Cohen et al. studied the service constrained (s,S) inventory systems with priority demand classes and lost sales. They treated excess demands as lost sales with a deterministic lead time. They derived an approximate, renewal-based model with Markov-chain. They also develop a greedy heuristic which minimizes expected costs subject to a fill-rate service constraints. We extend the latter results to a general priority model using the idea of the former work, We can get an approximate (s,S) priority demand system and evaluate an effective heuristic for a general priority optimization.
金槿鐘 홍익대학교 산업기술연구소 1997 産業技術 Vol.7 No.-
There have been many empirical reports that market option prices and theoretical ones have discrepancies. Except the constant elasticity of variance model of Cox, all theoretical models used a one-parameter diffusion coefficient. A two-parameter function has been adopted to see whether we can have a better theoretical model. A regular and a weighted nonlinear least squares methods have been developed. And a numerical method with a finite difference technique is used. The exercise price biases can be reduced substantially.
외식사업의 입지선정에 관한 연구 : 유사방법론을 중심으로 focus on Analogue Method
김근종 문화관광연구학회 2000 문화관광연구 Vol.2 No.2
There are many kinds of the location Selection in the Food Service-Industry. Even though Someone is good at location selection, It is very difficult for him to make a decision location selection in the Food Service-Industry. Because of The Food Service-Industry, personality, style of service, menu price, and management call for particular critera in site selection, It is difficult to make a decision in site selection. First of all, Before we make a decision in site selection, we have to study on location selection of the Food Service-Industry. Generally speeking. There are three kinds of method in the location-selection. The first is the location break-even analysis. The Second is the Checklist method. The method of this study is an analogue method. With this objective, the first pert of this study is a theoretical examination of the locatiom selection. For the purpose of the study, we examine the most profit Z restaurant. And then, we are looking for Z restaurant (similiar to Z restaurant). For the analysis in this study, we make use of the many situational factors, such as age, income, location, accessibility and so on.
金槿鍾 홍익대학교 산업기술연구소 1998 産業技術 Vol.8 No.-
There have been many empirical reports that market option prices and theoretical one have discrepancies. Except the constant elasticity of variance model of Cox, all theoretical model used a one-parameter diffusion coefficient. A two-parameter function has been adopted to see whether we can have a better theoretical model. A regular and a weighted nonlinear least squares methods have been developed. And a numerical method with a finite difference technique is used. The exercise price biases can be reduced substantially. And to our surprise, parameters of the gold futures options are relatively stable than that of equity options.
김근종(Keun Jong Kim) 한국호텔외식관광경영학회 2002 호텔경영학연구 Vol.11 No.2
The purpose of this study is to identify important selection attributes for customers and repeat patronage in the Chungnam province and Daejeon city Hotel. Using a factor analysis technique, the study identified six hotel factors that were likely to influence customers choice intention: Room Quality, Food Beverage Service, Value, Business Service, General Service, Staff Service. Multiple Regress Analysis technique was then applied to examine the relative importance of each of these hotel factors in determining guest`s overall satisfaction levels and their likelihood of returning to the same hotels.