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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Korean Operations Research and Management Science Society
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Journal DOI :
The Korean Operations and Management Science Society
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Volume & Issues
Volume 17, Issue 3 - Dec 1992
Volume 17, Issue 2 - Aug 1992
Volume 17, Issue 1 - Apr 1992
Selecting the target year
Two-echelon inventory model for a manufacturer with multiple customers through nonlinear pricing
;Lee, Kyung Keun;
Journal of the Korean Operations Research and Management Science Society, volume 17, issue 2, 1992, Pages 3~14
The efficiency of marketing channel of distribution between a manufacturer with several customers can be increase by influencing the order quantity of customer. Manufacturer reduces average inventory holding cost by penalizing the large order quantity from the customer. Such a penalty is significant only if the manufacturer's unit inventory holding cost is relatively large. Conditions under which such penalizing can be beneficial to both parties are derived.
A Study on Iventory Model with Partial Backorders considering both Continuous Inflation Rate and Continuous Discount Rate
;;Choi, Gyu-Tag;Lee, Kang Woo;
Journal of the Korean Operations Research and Management Science Society, volume 17, issue 2, 1992, Pages 15~23
This paper dvelops an inventory model with partial backorders considering both inflation rate and discount rate under the situation of deterministic demand and lead time and then make an economic analysis. Especially, the inventory model with partial backorders provided here is the inventory model minimizing annual total cash outflows, which is extended by the addition of inflation rate and discount rate into "Inventory Model with Partial Bakorders" of Park . An iterative solution procedure is developed to find an optimal inventory policy. To provide guidelines for economic analysis of inventory model with partial backorders, sensitivity analysis for selected values of parameters is performed.performed.
Design of Manufacturing Cells with the Converted Entropic Cluster Measure
;Chung, Hyun Tae;
Journal of the Korean Operations Research and Management Science Society, volume 17, issue 2, 1992, Pages 25~33
Manufacturing cell formation is one of the most important problems faced in designing cellular manufacturing systems. The purpose of this study is to design effective manufacturing cell systems by developing a method which forms machines/parts into optimal machine cells/part families. The 0-1 data matrix structure is used to form a basis for manufacturing cell formation. In this paper, we propose a CE method to reorder the 0-1 data matrix for manufacturing cell formation. The resulting solutions are shown to demonstrate the effectiveness of the CE method.
Fuzzy Ranking Method using Dominance Relations
;;Park, Sang Gyu;
Journal of the Korean Operations Research and Management Science Society, volume 17, issue 2, 1992, Pages 35~43
In this paper fuzzy ranking method using dominance relation is suggested. This method is compared to the existing fuzzy number comparing methods. All ten methods with the suggested method are evaluated using six example based on four criteria.
Evaluation of Planning Transparence of User Interface Reflecting State Schemas
;Yoon, Wan Chul;
Journal of the Korean Operations Research and Management Science Society, volume 17, issue 2, 1992, Pages 45~54
It become increasingly important to design user interface to carry low complexity. The cognitive limitations of users severely restrict utility of highly intelligent but complex modern systems. Since humans are known to use schemas to reduce cognitive complexity, imposing good consistency to an interface design that may help that user form useful schemas will provide powerful control over the complexity. This present a research effort to develop a quantitative method for evaluating interface complexity that the user would experience planning his or her course of action. Taking into account the user's potential schemas, a quantitative measure based on information theory was develped to assess the navigational complexity. This approach does not rely on the subjective judgment of the researcher as most schemes dealing with user schemas do. The proposed method may benefit the rapid prototyping approach to design a better user interface by allowing handy assessment of the design.
R & D 프로젝트 팀의 과업 불확실성, 조직구조, 커뮤니케이선 유형 - 구조적 상황이론
Journal of the Korean Operations Research and Management Science Society, volume 17, issue 2, 1992, Pages 53~90
THis study examines a contingency relationship between task uncertainty and structure of project teams in conjunction with the leader-member communication patterns. Multivariate analyses are used to analyze the data from 63 R & D project teams of research laboratory in a large manufacturing corporation. Major findings for this study can be summarized as follows. First, project teams with an organic structure are found to yield high performance when task uncertainty is high, while project teams with a mechanistic structure achieve high performance when their tasks are relatively certain. Second, patterns of leader-member comunication are significantly associated with both task uncertainty and structural characteristics of project teams. This implies that leaders of project teams communicate with their members in more conslutative manner when their tasks are uncertain or when their team structure exhibits organic characteristics. Finally, task uncertainty playus a significant moderating role in the relationship between consultative communication patterns and performance of project teams. Based upon these findings, this study offers several theoretical, practical, and methodological implications.
Estimating Reorder Points for ARMA Demand with Arbitrary Variable Lead Time
An, Bong-Geun ; Hong, Kwan-Soo ;
Journal of the Korean Operations Research and Management Science Society, volume 17, issue 2, 1992, Pages 91~106
It an inventory control system, the demand over time are often assumed to be independently identically distributed (i. i. d.). However, the demands may well be correlated over time in many situations. The estimation of reorder points is not simple for correlated demands with variable lead time. In this paper, a general class of autoregressive and moving average processes is considered for modeling the demands of an inventory item. The first four moments of the lead-time demand (L) are derived and used to approximate the distribution of L. The reorder points at given service level are then estimated by the three approximation methods : normal approximation, Charlier series and Pearson system. Numerical investigation shows that the Pearson system and the Charlier series performs extremely well for various situations whereas the normal approximation show consistent underestimation and sensitive to the distribution of lead time. The same conclusion can be reached when the parameters are estimated from the sample based on the simulation study.
Lot-Sizing with Random Yield
Park, Kwang-Tae ;
Journal of the Korean Operations Research and Management Science Society, volume 17, issue 2, 1992, Pages 107~115
Many manufacturing processes involved in the fabrication and assembly of hightech components have highly variable yields that tend to complicate the production control. Under this random yield situation we develop a model to determine optimal input quantity, mean waiting time in the system and variance of waiting time in the system. An example which considers beta distribution as a yield distribution is given.
Notes on Reducing Mixed Integer Knapsack Problems
Lee, Ho-Chang ;
Journal of the Korean Operations Research and Management Science Society, volume 17, issue 2, 1992, Pages 117~122
We consider 0-1 mixed integer knapsack problems. They turn out to be no more difficult to solve than the corresponding 0-1 pure integer knapsack problems with efficient pseudopolynomial time algorithm.
Average Length and Bounds on the Busy Period for a k-out-of-n : G System with Non-identical Components
Jung, Kyung-Hee ;
Journal of the Korean Operations Research and Management Science Society, volume 17, issue 2, 1992, Pages 123~130
The model of k-out-of n : G repairable system with identical components is extended to a repairable system with n different components. The objective is to analytically derive the mean time of the busy period for a k-out-of-n : G system with unrestricted repair. Then, the lower and upper bounds on the average time of the busy period of the n-component system with restricted repair are also shown.
Equivalent Transformations of Undiscounted Nonhomogeneous Markov Decision Processes
Park, Yun-Sun ;
Journal of the Korean Operations Research and Management Science Society, volume 17, issue 2, 1992, Pages 131~144
Even though nonhomogeneous Markov Decision Processes subsume homogeneous Markov Decision Processes and are more practical in the real world, there are many results for them. In this paper we address the nonhomogeneous Markov Decision Process with objective to maximize average reward. By extending works of Ross  in the homogeneous case adopting the result of Bean and Smith  for the dicounted deterministic problem, we first transform the original problem into the discounted nonhomogeneous Markov Decision Process. Then, secondly, we transform into the discounted deterministic problem. This approach not only shows the interrelationships between various problems but also attacks the solution method of the undiscounted nohomogeneous Markov Decision Process.
Synthesis of Machine Knowledge and Fuzzy Post-Adjustment to Design an Intelligent Stock Investment System
Lee, Kun-Chang ; Kim, Won-Chul ;
Journal of the Korean Operations Research and Management Science Society, volume 17, issue 2, 1992, Pages 145~162
This paper proposes two design principles for expert systems to solve a stock market timing (SMART) problems : machine knowledge and fuzzy post-adjustment, Machine knowledge is derived from past SMART instances by using an inductive learning algorithm. A knowledge-based solution, which can be regarded as a prior SMART strategy, is then obtained on the basis of the machine knowledge. Fuzzy post-adjustment (FPA) refers to a Bayesian-like reasoning, allowing the prior SMART strategy to be revised by the fuzzy evaluation of environmental factors that might effect the SMART strategy. A prototype system, named K-SISS2 (Knowledge-based Stock Investment Support System 2), was implemented using the two design principles and tested for solving the SMART problem that is aimed at choosing the best time to buy or sell stocks. The prototype system worked very well in an actual stock investment situation, illustrating basic ideas and techniques underlying the suggested design principles.