• Title/Summary/Keyword: management science models

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Dynamic Customer Population Management Model at Aggregate Level

  • Kim, Geon-Ha
    • Management Science and Financial Engineering
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    • v.16 no.3
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    • pp.49-70
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    • 2010
  • Customer population management models can be classified into three categories: the first category includes the models that analyze the customer population at cohort level; the second one deals with the customer population at aggregate level; the third one has interest in the interactions among the customer populations in the competitive market. Our study proposes a model that can analyze the dynamics of customer population in consumer-durables market at aggregate level. The dynamics of customer population includes the retention curves from the purchase or at a specific duration time, the duration time expectancy at a specific duration time, and customer population growth or decline including net replacement rate, intrinsic rate of increase, and the generation time of customer population. For this study, we adopt mathematical ecology models, redefine them, and restructure interdisciplinary models to analyze the dynamics of customer population at aggregate level. We use the data of previous research on dynamic customer population management at cohort level to compare its results with those of ours and to demonstrate the useful analytical effects which the precious research cannot provide for marketers.

Height Growth Models for Pinus thunbergii in Jeju Island

  • Park, Gildong;Lee, Daesung;Seo, Yeongwan;Choi, Jungkee
    • Journal of Forest and Environmental Science
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    • v.31 no.4
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    • pp.255-260
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    • 2015
  • Height growth models for Pinus thunbergii in Jeju Island were developed in this study using four widely used nonlinear growth models; Exponential, Modified Logistic, Chapman-Richards, and Weibull. All functions were found to be significant at the 1% level. Chapman-Richards model for height-DBH allometry and Weibull model for height-age allometry was chosen as the best model on the all validation. All the model curves showed the similar pattern. Additionally, there was no abnormal pattern when the previous studies were compared. Therefore, these models are highly expected to be used to estimate the tree height using DBH or age for Pinus thunbergii especially in Jeju Island.

A Study on Operations Research Models for Environmental Management (환경관리에서의 O.R. 모형에 관한 연구)

  • Chang ByungMan
    • Korean Management Science Review
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    • v.21 no.2
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    • pp.1-14
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    • 2004
  • This paper presents a review on the operations research modeis for environmental management including water, land, and air poliution in the environmental chain and including waste treatment, reverse logistics, and product recovery in the supply chain for last 30 years. The integrated and globalized environmental issues have given OR professionals a lot of natural opportunities for an effective environmental management with mathematical programming and computer simulation tool.

Bankruptcy predictions for Korea medium-sized firms using neural networks and case based reasoning

  • Han, Ingoo;Park, Cheolsoo;Kim, Chulhong
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.10a
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    • pp.203-206
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    • 1996
  • Prediction of firm bankruptcy have been extensively studied in accounting, as all stockholders in a firm have a vested interest in monitoring its financial performance. The objective of this paper is to develop the hybrid models for bankruptcy prediction. The proposed hybrid models are two phase. Phase one are (a) DA-assisted neural network, (b) Logit-assisted neural network, and (c) Genetic-assisted neural network. And, phase two are (a) DA-assisted Case based reasoning, and (b) Genetic-assisted Case based reasoning. In the variables selection, We are focusing on three alternative methods - linear discriminant analysis, logit analysis and genetic algorithms - that can be used empirically select predictors for hybrid model in bankruptcy prediction. Empirical results using Korean medium-sized firms data show that hybrid models are very promising neural network models and case based reasoning for bankruptcy prediction in terms of predictive accuracy and adaptability.

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A study on the credibility estimation model for the indurance experience rate-making (보험 경험요율산정을 위한 신뢰도 추정모형 연구)

  • 강정혁;양원섭
    • Korean Management Science Review
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    • v.11 no.3
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    • pp.153-167
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    • 1994
  • Credibility theory has provided with a useful tool the assignment of weighting factor that reflects the credibility of the observed individual and collective experience to secure fair experience rate-,making. We review credibility models which can effectively estimate risk premiums using credibility theory, and suggest an empirical Bayed model based on the collective statistics to estimate the structural parameters. To illustrate the use of evolutionary models, the models are applied to the actual data, such as loss ratio, claim frequencies and severity, in the Korean automobile insurance. Also the possibilities of generalizations and applications of empirical models are discussed.

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A study on deciding reoganization points for data bases with quadratic search cost function (2차 탐색비용함수를 갖는 데이터베이스의 재구성 시기결정에 관한 연구)

  • 강석호;김영걸
    • Journal of the Korean Operations Research and Management Science Society
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    • v.10 no.2
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    • pp.75-82
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    • 1985
  • Reorganization is essential part of data base maintenanc work and the reasonable reorganization points can be determined from the trade-off between reorganization cost and performance degradation. There has been many reorganization models so far, but none of these models have assumed nonlinear search cost function. This paper presents the existensions of two existing linear reorganization models for the case where the search cost function is quadratic. The higher performance of these extended models was shown in quadratic search cost function case.

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Ontology Design for Solver Reuse in Web Services Based Model Management Systems

  • Lee, Keun-Woo;Huh, Soon-Young
    • Proceedings of the KAIS Fall Conference
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    • 2003.11a
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    • pp.65-69
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    • 2003
  • As complex mathematical models are increasingly adopted for business decision-making, difficulties arise in reusing solvers (i.e., model solving algorithms) against diverse models and data sets and thus the collaboration among users (model/solver builders and decision makers) in multiple departments becomes very difficult. To facilitate the solver reuse, this paper adopts the Web services technologies as the base technologies for linking the solvers to the models, both of which are created on different modeling paradigms and different system platforms, in unified system architecture. Specifically, this paper focuses on designing an ontology that represents the interfacing semantics of the model-solver interactions in a general and standardized form. By referring to the ontology, a model management system (MMS) can autonomously suggest a set of compatible solvers and apply them to individual models even though the decision makers are not knowledgeable enough about all the details of the models and the solvers. Thus, this Web services based MMS would improve the reusability of the solvers by relieving the decision makers from the risk of erroneous application of a solver to syntactically and semantically incompatible models and the burden of considerable understanding of model and solver semantics.

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A Study on Models of Economic Performance Analysis for Science and Technology Information Management Distribution Project (과학기술정보 관리·유통사업의 경제성 분석 모델 수립에 관한 연구)

  • Park, Sung-Uk;Lee, Pill-Woo;Hahn, Sun-Hwa;Lee, Sang-Hwan;Hwang, Seog-Won
    • Journal of Information Management
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    • v.43 no.3
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    • pp.43-59
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    • 2012
  • We established economic models for economic performance analysis in order to respond to changes in a rapidly changing environment. We tried to maximize business efficiency and performance of science and technology information management distribution project. The science and technology information management distribution project is significantly different from general R&D project. In this paper, it is meaningful to develop economic models to analyze economic outcomes for science and technology information management distribution project. We anticipate that these models will contribute greatly to economic performance analysis for science and technology information management distribution project.

확률적 재고시스템에서 조달기간수요에 대한 고찰

  • Park Chang Gyu;Chu Sang Mok
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.05a
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    • pp.1042-1047
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    • 2003
  • Due to the Importance of lead time demand in the design of Inventory management systems. researchers and practitioners have paid continuous attention and a few analytic models using the compound distribution approach have been reported. However, since the nature or compound distributions is hardly amenable. the analytic models have been done by non-recognition of the compound nature or some components to reduce the analytic task. This study concerns some of the important aspects in the analytic models. Through the theoretic examination of the analytic model approach and the comparison with the rigid compound stochastic process approach. this study clarifies the assumptions implicitly made by the analytic models and provides some precautions in using the analytic models.

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Availability Measures for Repairable Dynamic Reliability Models (수리 가능한 동적 신뢰도 모델의 가용도 척도)

  • Choi, Sung-Woon
    • Journal of the Korea Safety Management & Science
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    • v.8 no.5
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    • pp.253-264
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    • 2006
  • This paper is to derive three reliability and eight maintainability measures after organizing total time. I propose inherent availability,.achieved availability and operational availability with the new and useful reliability and maintainability measures above. Especially, inherent availability measure extends the repairable system reliability models.