• Title/Summary/Keyword: Profit Model

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A Study on the Measurement of the Efficiency of Auto Parts Firms Using DEA Cross Analysis Model (DEA 교차분석 모형을 이용한 자동차 부품기업의 효율성 측정에 관한 연구)

  • Sin, Jeong-Hun;Hwang, Seung-June
    • Journal of the Korean Operations Research and Management Science Society
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    • v.42 no.2
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    • pp.49-61
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    • 2017
  • The study on the efficiency analysis of Korean automobile parts companies is mostly based on the calculation of the size of output such as sales. However, the performance indicators such as sales, operating profit, and net profit are directly related to the cost structure, and this cost structure is affected by changes in the company's asset structure and capital structure. As a result, it is necessary that efficient capital procurement should be done at the same time to create efficient management performance through proper investment. In this study, we aim to measure the efficiency of asset and capital procurement compared to the sales figures, such as sales, generated by 33 primary suppliers who supply parts to Hyundai Kia Motors. For this purpose, this study proposed a DEA cross analysis model that can simultaneously measure efficiency in terms of input assets and capital procurement based on the same management performance when analyzing the efficiency of domestic auto parts companies.

Business Models and Business Strategies of UCC Web Sites in Korea (국내 UCC 웹 사이트의 비즈니스 모델과 사업전략)

  • Cho, Dong-Hwan
    • The Journal of the Korea Contents Association
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    • v.7 no.10
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    • pp.89-96
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    • 2007
  • UCC stands right in the center of web 2.0 era represented by share, participation, and openness. Moving picture UCC has been facilitated by If infrastructure advancement and sociocultural changes. Its prospect is expected to be brighter because presumers are spreading, cost of creating and distributing contents is greatly reduced, and there is going to appear more companies utilizing UCC in improving firm's competitiveness. In this paper, various UCC business models are analyzed and hot major issues faced by UCC industry such as profit model and copyright are discussed. In addition, strategies for UCC business success and opportunities and challenges confronted by UCC businesses are discussed.

Economic Valuation for Nursery-Phase Production - Focusing on the tidal flat Oyster - (해면 중간육성 생산방식의 경제성 분석 - 갯벌 참굴 산업을 중심으로 -)

  • Choi, Jong-Du
    • The Journal of Fisheries Business Administration
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    • v.43 no.3
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    • pp.31-41
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    • 2012
  • This paper was conducted to study the economic valuation for Nursery-Phase production of the tidal flat oyster in Korea. Benefit-cost(B/C) model used to indicate the effects of economic valuation. Using discounting rates(i.e., 4.5%, 6.5% and 8.5%), the model compared revenues and costs that occur at different times from 2012 to 2018. This study also estimated various submodels, which are Benefit Cost Ratio(B/C ratio), Net Present Value(NPV), Internal Ration of Return(IRR), to compare profit of Nursery-Phase production styles and analyzed returns to evaluate the scenarios. Sensitivity analysis were conducted for various scenarios. The results suggest as follows. First, the oyster spat to the shell height of 3~5cm was more profit than the shell height of 1~3cm. Second, all of sensitivity analysis with submodels were economic valuation such that B/C ratio > 1, NPV > 0 and IRR > discounting rate. Third, the payback period was about 3years after installed Nursery-Phase production system.

Development of System Marginal Price Forecasting Method Using ARIMA Model (ARIMA 모형을 이용한 계통한계가격 예측방법론 개발)

  • Kim Dae-Yong;Lee Chan-Joo;Jeong Yun-Won;Park Jong-Bae;Shin Joong-Rin
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.55 no.2
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    • pp.85-93
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    • 2006
  • Since the SMP(System Marginal Price) is a vital factor to the market participants who intend to maximize the their profit and to the ISO(Independent System Operator) who wish to operate the electricity market in a stable sense, the short-term marginal price forecasting should be performed correctly. In an electricity market the short-term market price affects considerably the short-term trading between the market entities. Therefore, the exact forecasting of SMP can influence on the profit of market participants. This paper presents a new methodology for a day-ahead SMP forecasting using ARIMA(Autoregressive Integrated Moving Average) model based on the time-series method. And also the correction algorithm is proposed to minimize the forecasting error in order to improve the efficiency and accuracy of the SMP forecasting. To show the efficiency and effectiveness of the proposed method, the case studies are performed using historical data of SMP in 2004 published by KPX(Korea Power Exchange).

Incentive Mechanism in Participatory Sensing for Ambient Assisted Living

  • Yao, Hu;Muqing, Wu;Tianze, Li
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.1
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    • pp.159-177
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    • 2018
  • Participatory sensing is becoming popular and has shown its great potential in data acquisition for ambient assisted living. In this paper, we propose an incentive mechanism in participatory sensing for ambient assisted living, which benefits both the platform and the mobile devices that participated in the sensing task. Firstly, we analyze the profit of participant and platform, and a Stackelberg game model is formulated. The model takes privacy, reputation, power state and quality of data into consideration, and aims at maximizing the profit for both participant and publisher. The discussion of properties of the game show that there exists an unique Stackelberg equilibrium. Secondly, two algorithms are given: one describes how to reach the Stackelberg equilibrium and the other presents the procedures of employing the incentive strategy. Finally, we conduct simulations to evaluate the properties and effectiveness of the proposed mechanism. Simulation results show that the proposed incentive mechanism works well, and the participants and the publisher will be benefitted from it. With the mechanism, the total amount of sensory data can be maximized and the quality of the data can be guaranteed effectively.

Modeling Coordinated Contracts for a Supply Chain Consisting of Normal and Markdown Sale Markets

  • Lee Chang Hwan
    • Management Science and Financial Engineering
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    • v.11 no.1
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    • pp.1-24
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    • 2005
  • The results of a study of the coordination effect in stocking and promotional markdown policies for a supply chain consisting of a retailer and a discount outlet (DCO) are reported here. We assume that the product is sold in two consecutive periods: the Normal Sales Period (NSP) and the subsequent Promotional Markdown Sales Period (PSP). We first study an integrated supply chain in which managers in the two periods design a common system so as to jointly decide the stocking quantities, markdown time schedule, and markdown price to maximize mutual profit. Next, we consider a decentralized supply chain. An uncoordinated contract is designed in which decisions are decentralized to optimize the individual party's objective function. Here, three sources of system inefficiencies cause the decentralized system to earn a lower expected system profit than that in the integrated supply chain. The three sources are as follows: in the decentralized system the retailer tends to (1) stock less, and (2) keep a longer sales period, and the DCO tends to (3) stock fewer leftovers inventories and charge a higher markdown price. Finally, a numerical experiment is provided to compare the coordinated model with the uncoordinated model to explore factors that make coordination an effective approach.

Multimedia Service Discrimination Based on Fair Resource Allocation Using Bargaining Solutions

  • Shin, Kwang-Sup;Jung, Jae-Yoon;Suh, Doug-Young;Kang, Suk-Ho
    • ETRI Journal
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    • v.34 no.3
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    • pp.341-351
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    • 2012
  • We deal with a resource allocation problem for multimedia service discrimination in wireless networks. We assume that a service provider allocates network resources to users who can choose and access one of the discriminated services. To express the rational service selection of users, the utility function of users is devised to reflect both service quality and cost. Regarding the utility function of a service provider, total profit and efficiency of resource usage have been considered. The proposed service discrimination framework is composed of two game models. An outer model is a repeated Stackelberg game between a service provider and a user group, while an inner model is a service selection game among users, which is solved by adopting the Kalai-Smorodinsky bargaining solution. Through simulation experiments, we compare the proposed framework with existing resource allocation methods according to user cost sensitivity. The proposed framework performed better than existing frameworks in terms of total profit and fairness.

What IF Analysis Impacting CRM in Medical Sector

  • Arshi Naim;Kholood Alqahtani;Mohammad Faiz Khan
    • International Journal of Computer Science & Network Security
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    • v.23 no.7
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    • pp.101-108
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    • 2023
  • Decision Support Systems (DSS) is an Information Systems (IS) application that aids in decision-making processes for many business concepts and Customer Relationship Management (CRM) is one of them and it depends on the firm's tasks for developing and retaining customers while achieving their satisfaction and enhancing the sense of belongingness for their products and services. Profit maximization, the process of customer value, and building strategic values for the firm are the three empirical benefits of CRM that are achieved through analytical, operational, and direction (AOD) capabilities respectively. This research focuses on the application of DSS models of what-if analysis (WIA) for CRM at (AOD) and also shows the dependence on the Information Success model (ISM). Hypothetical data are analyzed for (AOD) by three types of (WIA) to attain CRM and profit maximization and this analytical method can be used by any customer-oriented firm as a general model and for the purpose of the study we have compared the CRM between patients and hospital management.

A Study on the Adjustment of Railway Schedule (수요를 고려한 열차 스케쥴 조정방안 연구)

  • Park Beom Hwan;Hong Sun Heum;Kim Dong Hui;Kim Gyeong Tae
    • Proceedings of the KSR Conference
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    • 2004.10a
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    • pp.1546-1552
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    • 2004
  • Railway schedule is periodically modified so that it could yield more profit by means of adjusting the schedule to demand. Most of related works are applicable under the given demand, but did not deal with dynamic relation between demand and schedule. To our knowledge, the methodology considering the relation is only the profitability evaluation model developed by SNCF. Our study suggests how to adjust the schedule to demand and therefore obtain more benefits using the profitability evaluation model.

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Deciding the Optimal Shutdown time of a Nuclear Power Plant (원자력 발전소의 최적 운행중지 시기 결정 방법)

  • Yang, Hee-Joong
    • IE interfaces
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    • v.13 no.2
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    • pp.211-216
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    • 2000
  • A methodology that determines the optimal shutdown time of a nuclear power plant is suggested. The shutdown time is decided considering the trade off between the cost of accident and the loss of profit due to the early shutdown. We adopt the bayesian approach in manipulating the model parameter that predicts the accidents. We build decision tree models and apply dynamic programming approach to decide whether to shutdown immediately or operate one more period. The branch parameters in decision trees are updated by bayesian approach. We apply real data to this model and provide the cost of accidents that guarantees the immediate shutdown.

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