• Title/Summary/Keyword: Operations Research Models

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Fire Allocation and Combat Networking

  • Hong, Yoon-Gee
    • Journal of the military operations research society of Korea
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    • v.24 no.1
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    • pp.110-131
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    • 1998
  • A stochastic modeling of combat that takes more realistic situations into account has been studied with deep concern. Either the firing strategies or network formations are very important elements in the analysis of combat. The first objective of this study is to evaluate how the different strategies affect the outcomes of combat. An analytical approach has been used in an attempt to understand a small-sized battle. The results are validated and compared with existing simulation models. Extending to the moderate size of battle may be achieved with ease. Secondly, an attempt has been made to study and investigate a way to solve combat in a different fashion. We divided a two-on-two battle into two separate one-on-one battles and connected them into a network. New elements considered such as delay time of starting a firefight on a particular node or search time for the next target when a kill occurs are defined and used as the input parameters. The discussions are made to validate the hypothesized model and ask if the results are meaningful and useful in the analysis of combat operations or not.

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A Temporal Data model and a Query Language Based on the OO data model

  • Shu, Yongmoo
    • Korean Management Science Review
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    • v.14 no.1
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    • pp.87-105
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    • 1997
  • There have been lots of research on temporal data management for the past two decades. Most of them are based on some logical data model, especially on the relational data model, although there are some conceptual data models which are independent of logical data models. Also, many properties or issues regarding temporal data models and temporal query languages have been studied. But some of them were shown to be incompatible, which means there could not be a complete temporal data model, satisfying all the desired properties at the same time. Many modeling issues discussed in the papers, do not have to be done so, if they take object-oriented data model as a base model. Therefore, this paper proposes a temporal data model, which is based on the object-oriented data model, mainly discussing the most essential issues that are common to many temporal data models. Our new temporal data model and query language will be illustrated with a small database, created by a set of sample transaction.

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Decision-Making Problems for Shop Floor Simulation in Discrete Part Manufacturing

  • Jang, Pyoung-Yol
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.05a
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    • pp.1114-1116
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    • 2005
  • Shop floor control systems (SFCS) are used to make real-time planning and scheduling decisions to optimize the efficiency of manufacturing shops. These shops exhibit a non-linear, dynamic evolution caused by 1) the concurrent flows of disparate parts following complex routings, 2) a variety of machines that breakdown at random times, 3) stochastic arrivals of new parts with different priorities, and 4) jobs that have probabilistic processing times and transportation times. Because of their ability to capture that evolution faithfully, simulation models are often used in the aforementioned decisions. In this paper, various types of decision-making problems encountered in a shop floor have been investigated and categorized into process related problems and resource related problems for shop floor simulation.

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An Axiomatic model of the multi-stage production process (다단계 생산공정에 대한 공리모델)

  • Ahn, Ung
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1993.10a
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    • pp.175-184
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    • 1993
  • Modeling the production process is a necessary and essential aspect of the production planning. This paper introduces a theoretical model of the multi-stage production process. A multi-stage production process is regarded as a network of interrelated production activities which use system exogenous inputs of goods in production and the intermediate products transfers between activities to produce final products. Our model is characterized by (1) a few of the production-related assumptions and (2) two types of elements "goods and activities" that are represented in terms of the network terminology. This model is different from the another multi-stage production models, so-called production network models in relation to the production-theoretical concept. It is not based on the concept of the production correspondence and the activity production functions, but the technology model of Koopmans. Koopmans.

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A supply planning model based on inventory-allocation and vehicle routing problem with location-assignment (수송경로 문제를 고려한 물류최적화모델의 연구)

  • 황흥석;최철훈;박태원
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1997.10a
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    • pp.201-204
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    • 1997
  • This study is focussed on optimization problems which require allocating the restricted inventory to demand points and assignment of vehicles to routes in order to deliver goods for demand sites with optimal decision. This study investigated an integrated model using three step-by-step approach based on relationship that exists between the inventory allocation and vehicle routing with restricted amount of inventory and transportations. we developed several sub-models such as; first, an inventory-allocation model, second a vehicle-routing model based on clustering and a heuristic algorithms, and last a vehicle routing scheduling model, a TSP-solver, based on genetic algorithm. Also, for each sub-models we have developed computer programs and by a sample run it was known that the proposed model to be a very acceptable model for the inventory-allocation and vehicle routing problems.

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A study on a forecasting the demand for the future mobile communication service by integrating the mobile communication technology (이동통신기술과의 연관성을 고려한 차세대 이동통신서비스의 수요예측에 관한 연구)

  • 주영진;김선재
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.11a
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    • pp.74-78
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    • 2003
  • In this paper, we have developed a technology-service relationship model which describes the diffusion process of a group of services and relevant technologies, and have applied the developed model to the prediction of the number of subscribers to the next generation mobile service. The technology-service relationship model developed in this paper incorporates the developing process of relevant technologies, a supply-side factor, into the diffusion process of specific services, while many diffusion models and multi-generation diffusion models in previous researches are mainly reflect the demand-side factors. So, the proposed model could effectively applied to the telecommunication services where the developing of the relevant technologies are very essential to the service penetration. In our application, the proposed model provides a competitive substitution between the next generation mobile service and the traditional mobile service.

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Reliability Models for Redundant Systems Using Phase-type Distributions

  • Moon, Sinmyeong;Lie, Changhoon
    • Management Science and Financial Engineering
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    • v.7 no.2
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    • pp.73-90
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    • 2001
  • This paper presents the reliability models for redundant systems composed of repairable components whose failure time and repair time distributions are phase-type. It is shown that the distribution of time to system failure is also phase-type. The dependency between components are considered and integrated into the model by the used of the rate adjustment factor. The phase-type representation is constructed for the system through algebraic operations on the parameters of components\` failure time and repair time distributions and the corresponding rate adjustment factors. Types of system structures considered are parallel, k-out-of-N system with load sharing scheme and standby system with operation priority.

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Integrating Multiple Mathematical Models for Supply Chain Optimization (공급사슬 최적화를 위한 다중의 수리적 모델 활용 구조)

  • 한현수
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.97-100
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    • 2001
  • 제조 기업의 가치사슬 최적화를 위한 전략적, 운영상 의사결정 문제는 수리적 모델을 이용한 DSS의 효과적인 활용을 통하여 해결 될 수 있다. 의사결정 프로세스는 필연적으로 공급사슬의 여러 성과 목표와 관련 조직간의 Trade-off 및 연계관계(Interaction)가 고려되므로 복수의 DSS 활용이 필요하게 된다. 이와 관련하여 본 논문에서는 공급 사슬 전체의 최적화를 위한 다수의 전략적 목표 및 의사결정 프로세스, 연계된 수리적 모델들을 정의하고, 관련 조직 및 성과 지표 별 부분적 최적화(Local Optimality)를 지양하고 전체최적화 (Global Optimality)를 달성하기 위한 DSS Logic을 철강산업 프로세스를 대상으로 수리적 모델들의 분할(Decomposition) 및 통합개념을 통하여 제시하였다.

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An Study on the Cost Allocation Methods for Mobile Access Network in US (미국의 이동망 액세스 구간 비용 처리 방식에 관한 연구)

  • 조은진
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.11a
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    • pp.305-308
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    • 2003
  • It is widely used that a network termination rate is calculated by using a Long Run Incremental Costing model. Interconnection Order issued Ministry of Information and Communication in Korea on December 2002 has declared that termination charges of local, national, payphone, and mobile calls are going to be determined by LRIC costing models after 2004. There are lots of preceding researches on a fixed network costing model for applying to LRIC method but on a mobile network not pretty much of them. Besides, Most important basis of current calculation models for termination charges are access costs to connect subscribers to network such as a local loop. In this paper, we look into being of access costs in mobile network and show the applicable standards for cost allocation of access costs in implementing LRIC costing model.

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Deterministic EOQ Model with Partial Backordering when Purchase Dependence Exists (구매종속성이 존재하는 상황에서 부분 부재고 EOQ 모형에 대한 고찰)

  • Park, Changkyu
    • Korean Management Science Review
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    • v.32 no.1
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    • pp.65-82
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    • 2015
  • Purchase dependence is a frequent phenomenon in retail shops and is characterized by the purchase of certain items together due to their unknown interior associations. Although this concept has been significantly examined in the marketing field (e.g. market basket analysis), it has largely remained unaddressed in operations management. Since purchase dependence is an important factor in designing inventory replenishment policies, this paper demonstrates the means of applying it to the partial backordering inventory model. Through computational analyses, this paper compares the performance of inventory models that either consider or ignore purchase dependence; the results demonstrate that inventory models that ignore purchase dependence incur more average cost per unit time than the model that considers purchase dependence, and the impact of purchase dependence can increase in significance as the item set becomes more closely correlated with regard to order demand.