• Title/Summary/Keyword: Cost models

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A Methodology on Estimating the Product Life Cycle Cost using Artificial Neural Networks in the Conceptual Design Phase (개념 설계 단계에서 인공 신경망을 이용한 제품의 Life Cycle Cost평가 방법론)

  • 서광규;박지형
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.9
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    • pp.85-94
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    • 2004
  • As over 70% of the total life cycle cost (LCC) of a product is committed at the early design stage, designers are in an important position to substantially reduce the LCC of the products they design by giving due to life cycle implications of their design decisions. During early design stages, there may be competing concepts with dramatic differences. In addition, the detailed information is scarce and decisions must be made quickly. Thus, both the overhead in developing parametric LCC models fur a wide range of concepts, and the lack of detailed information make the application of traditional LCC models impractical. A different approach is needed, because a traditional LCC method is to be incorporated in the very early design stages. This paper explores an approximate method for providing the preliminary LCC, Learning algorithms trained to use the known characteristics of existing products might allow the LCC of new products to be approximated quickly during the conceptual design phase without the overhead of defining new LCC models. Artificial neural networks are trained to generalize product attributes and LCC data from pre-existing LCC studies. Then the product designers query the trained artificial model with new high-level product attribute data to quickly obtain an LCC for a new product concept. Foundations fur the learning LCC approach are established, and then an application is provided.

Waste Disposal Models for Manufacturing Firm and Disposal Firm

  • Tsai, Chi-Yang;Nagaraj, Sugarla Edwin
    • Industrial Engineering and Management Systems
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    • v.10 no.2
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    • pp.115-122
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    • 2011
  • This research considers a system containing a manufacturing firm who generates waste material during manufacturing process, and a disposal firm who collects and disposes the waste material. Identification of the optimal number of pick ups and the amount of waste to be disposed at certain period of time in terms of cost minimization is studied. Two types of waste accumulation rates, constant and linearly increasing, are discussed and mathematical models are developed. It can be shown that the results for these two different types of waste accumulation differ in a wide range because of the difference in the way of how waste is accumulated, which disturbs the storage cost. An integrated model is also developed and discussed in which both the manufacturing firm and the disposal firm benefit from the coordination between the two parties. It is shown that the optimal policy adopted by the integrated approach can provide a strong and consistent cost-minimizing effect for both the manufacturing firm and the disposal firm over the existing approach. Finally, all the models are verified by a numerical example and the results are compared.

Repair Cost Estimation Model of the Building Exterior and Outdoor Facilities in Apartment Housing (공동주택 건물 외부공간 및 옥외시설의 공종별 수선비용 산정모델)

  • Lee, Kang-Hee;Chae, Chang-U
    • KIEAE Journal
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    • v.16 no.3
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    • pp.129-135
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    • 2016
  • Purpose: Building figuration is imperative to perceive the its value, environmental clean status and form. Therefore, maintenance activities of the building exterior are required to keep the housing condition and value. Each household should pay the repair cost which is brought out in the future. For this repair cost, the estimation model would needed to forecast and provide the required cost. This study aimed at providing the estimation model of the repair cost, using the repair survey data between the 2011 and 2014 in Seoul. Method: For these, it took various estimation function of repair cost such as 1st function, inverse function and so on. These above functions would be applied into the building exterior and outdoor facilities which figure the building shape and characteristics. Result: Results of this study are shown ; First, among 11 estimation models, the power function has a better statistics and goodness-of-fit than any other models. Second, the estimation model with a variable of household has a pattern in upward to the right. On the contrary, the model with management area is little downward to the right. Both of them are depended on the estimated parameter of the power function and the parameter smaller than 1.

Classification and Analysis for the Business Models of Reverse Overseas Direct Purchasing (해외 역직구 비즈니스 모델 유형분류 및 분석)

  • Lim, Gyoo Gun;Hong, Seung Cho
    • Journal of Information Technology Applications and Management
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    • v.24 no.1
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    • pp.93-110
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    • 2017
  • This study aims at classifying and analyzing the business models of reverse overseas direct purchasing through online shopping-malls. After analyzing the current status of the reverse overseas direct purchasing online markets, this study identifies relevant critical business factors and synthesizes prior studies to construct and analyse the business models. This study proposes that the business models can be classified into five types according to the operation modes and three types according to the delivery methods. So theoretically 15 business models can be identified. For each business model this study analyzes the characteristics and the pros & cons. It also suggests deployment strategies for companies by considering cost reduction, brand establishment, customer management, customer aquisition, and easiness from the business perspective. From the customers perspective, cost reduction, reliability, royalty, ease to purchase, and accessibility can be considered according to the types of operation mode. The main contribution of this study is to provide the basic classifications and structures of reverse overseas direct purchasing business models systematically. As the result, our study evaluates the business models that which one is better than others in a situation in terms of company and customer. Lastly, we talk about limits and future prospects of the study.

A Study on the Economic Effectiveness of the Artificial Fish Reef Project in the Tae-an Marine Ranching (태안시범바다목장해역내 인공어초사업의 경제적 효과에 대한 연구)

  • Choi, Jong-Du
    • The Journal of Fisheries Business Administration
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    • v.44 no.3
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    • pp.103-109
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    • 2013
  • This paper analyzed that the economic effectiveness of the artificial fish reef project in the Tae-an Marine Ranching. Benefit-cost(B/C) model used to indicate the effects of economic valuation. B/C model is based on the sub-models which are Benefit Cost Ratio(BCR), Net Present Value(NPV) and Internal Ration of Return(IRR). First, the Sum of Incremental Benefit and Cost for total vessel by year in Artificial Fish Reef Area(AFRA) estimated 2,381 million won. And then, using 5.5% discounting rates and the survey data, the sub-models showed economically feasible in the all of analysis and analyzed the results as follows. BCR is 2.66, NPV is 28,014million won, and IRR is 22.78%. In conclusion, these results indicated that the artificial fish reef project in Tae-an Marine Ranching would be increase the income of fishermen as well as fish biomass.

Cost optimization of high strength concretes by soft computing techniques

  • Ozbay, Erdogan;Oztas, Ahmet;Baykasoglu, Adil
    • Computers and Concrete
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    • v.7 no.3
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    • pp.221-237
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    • 2010
  • In this study 72 different high strength concrete (HSC) mixes were produced according to the Taguchi design of experiment method. The specimens were divided into four groups based on the range of their compressive strengths 40-60, 60-80, 80-100 and 100-125 MPa. Each group included 18 different concrete mixes. The slump and air-content values of each mix were measured at the production time. The compressive strength, splitting tensile strength and water absorption properties were obtained at 28 days. Using this data the Genetic Programming technique was used to construct models to predict mechanical properties of HSC based on its constituients. These models, together with the cost data, were then used with a Genetic Algorithm to obtain an HSC mix that has minimum cost and at the same time meets all the strength and workability requirements. The paper describes details of the experimental results, model development, and optimization results.

A Study on Parts Route Selection and Economic Design in Flexible Manufacturing System (유연 제조시스템에서 작업경로선택과 경제적인 설계에 관한 연구)

  • 장석화
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.43
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    • pp.249-263
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    • 1997
  • This paper addresses the parts route selection and economic design in flexible manufactuirng system (FMS). Parts are processed through several stage workstations according to operation sequences. The machine of each workstation can do multiple operation functions. And the operation stage of a part can be processed in several workstations, which are non-identical in functional performance. The objective of this paper is to determine the processing routes of parts, number of machine at each workstation, number of vehicle and makespan time. Two models are suggested. One is assumed that the operation stage of parts can be processed at the only one among several available workstations. Other is assumed that the operation stage of parts is allowed to be processed at several workstations. Parts are transported by automated guided vehicles (AGVs). The decision criteria is to minimize the sum of processing cost, travel cost, setup cost and overhead cost. The formulation of models is represented. A solution algorithm is suggested, and a numerical example is shown.

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A case study on calibration of computational model for a reasonable cost estimation of missile development program (A case of guidance & control system of X missile) (유도무기 연구개발사업의 합리적인 비용 추정을 위한 전산모델 보정방안 사례 연구 (X 유도무기 유도조종장치 사례를 중심으로))

  • Park, Chung-Hee
    • Journal of Digital Convergence
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    • v.12 no.5
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    • pp.139-148
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    • 2014
  • In recent years, computational models using parametric estimation method have been developed and used widely for efficient cost analysis. In this research, by applying experienced data from Guidance and Control Systems in Missile System field, the cost analysis for engineering model and commercial computational model(Price H, HL, M, S) are conducted and its result is analysed, so that the difference between two models and its grounds are apprehended. Comparing the calibrated value of computational model based on the data base of similar equipment and the cost from the engineering estimation, the two results are very close. It means that the credibility of data is enhanced through calibration. Also, for cost analysis of similar components in the future, the method for calibration of the computational models is also examined. When estimating development cost in this research, although many parts have been estimated through uncertain elements, the reliability could have been enhanced by applying computational model which secures objectivity. It is a very reasonable estimation method by utilizing calibration of the computational models based on existing accumulated development data.

Economic Screening Procedures in Normal and Logistic Models When the Rejected Items are Reprocessed (불합격 제품을 재 가공할 때 정규 및 로지스틱모형 하에서 경제적 선별검사)

  • Hong Sung Hoon
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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    • pp.772-777
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    • 2002
  • In this paper, economic screening procedures with dichotomous performance variable T and continuous screening variable X are considered when the rejected items are reprocessed. Two models are considered; normal and logistic models. It is assumed that X given T is normally distributed in the normal model, and $P(T=1{\mid}X=x)$ Is given by a logistic function in the logistic model. Profit models are constructed which involve four price/cost components; selling price, cost from an accepted nonconforming item, and reprocessing and inspectioncosts. Methods of finding the optimal screening procedures are presented and numerical examples are given.

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Economic Screening Procedures in Normal and Logistic Models when the Rejected Items are Reprocessed (불합격 제품을 재가공할 때 정규 및 로지스틱 모형하에서 경제적 선별검사)

  • Hong, Sung-Hoon
    • Journal of Korean Institute of Industrial Engineers
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    • v.28 no.3
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    • pp.240-246
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    • 2002
  • In this paper, economic screening procedures with dichotomous performance variable T and continuous screening variable X are considered when the rejected items are reprocessed. Two models are considered; normal and logistic models. It is assumed that X given T is normally distributed in the normal model, and P(T=1|X=x) is given by a logistic function in the logistic model. Profit models are constructed which involve four price/cost components; selling price, cost from an accepted nonconforming item, and reprocessing and inspection costs. Methods of finding the optimal screening procedures are presented and numerical examples are given.