• Title/Summary/Keyword: Cost Estimation Process

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The Effect of Process Models on Short-term Prediction of Moving Objects for Autonomous Driving

  • Madhavan Raj;Schlenoff Craig
    • International Journal of Control, Automation, and Systems
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    • v.3 no.4
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    • pp.509-523
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    • 2005
  • We are developing a novel framework, PRIDE (PRediction In Dynamic Environments), to perform moving object prediction (MOP) for autonomous ground vehicles. The underlying concept is based upon a multi-resolutional, hierarchical approach which incorporates multiple prediction algorithms into a single, unifying framework. The lower levels of the framework utilize estimation-theoretic short-term predictions while the upper levels utilize a probabilistic prediction approach based on situation recognition with an underlying cost model. The estimation-theoretic short-term prediction is via an extended Kalman filter-based algorithm using sensor data to predict the future location of moving objects with an associated confidence measure. The proposed estimation-theoretic approach does not incorporate a priori knowledge such as road networks and traffic signage and assumes uninfluenced constant trajectory and is thus suited for short-term prediction in both on-road and off-road driving. In this article, we analyze the complementary role played by vehicle kinematic models in such short-term prediction of moving objects. In particular, the importance of vehicle process models and their effect on predicting the positions and orientations of moving objects for autonomous ground vehicle navigation are examined. We present results using field data obtained from different autonomous ground vehicles operating in outdoor environments.

Process Development of Constant Curvature Extrusion for Aluminum Alloy (알루미늄 합금의 일정 곡률 압출공정 개발)

  • Joe, Y.J.;Lee, S.K.;Oh, K.H.;Park, S.W.;Kim, B.M.
    • Transactions of Materials Processing
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    • v.16 no.7
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    • pp.555-560
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    • 2007
  • This paper shows some achievements at bending of extruded aluminum profiles during the extrusion process. The conventional process for the production of bent profiles involves a successive extrusion, stretching, and bending of the profiles. Conventional bending methods can not meet demands far precision and cost-effective production in some cases, due to cross sectional deformation, irregular decrease of tube wall thickness and a complication of the process design. An estimation of spring-back required for precision of the bending radius can not always be achieved by the over bending of the profile. Since the profile is hot during the bending process, the spring-back phenomenon can be avoided. This means that an additional bending process is not necessary. Consequently, flexible bending can be achieved with cost reduction and quality improvement. Experimental tests were completed to study the relationship between curvature radius of profile and position of guide on the extrusion for vehicle bumper. A7108 is applied as a billet material in order to increase strength. The overall correlation between the experimental and numerical results is good. It is therefore concluded that the present method provides an efficient means for the constant curvature extrusion process.

Evaluation of Pre-estimation Model to the Inprocess Surface Roughness for Grinding Operations (연삭가동용 Inprocess 표면조도 예측모델의 평가)

  • 김건희
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1998.03a
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    • pp.11-18
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    • 1998
  • In grinding operations, one of the most important problems is to increase efficiency of process. In order to achive this purpose, it is necessary to administer the tool life of grinding wheel and to optimize grinding conditions. Frequently dressing result in lowering the process efficiency remarkably and makes production cost high. On the other hand, grinding with a worn wheel causes the workpiece surface roughness to increase and often results in the occurrence of such troubles as chatter vibration and burning.

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A Basic Study on Data Estimation Model of Production-installation Using Mathematical Algorithm in Free-Form Concrete Panel (비정형 콘크리트 패널의 수학적 알고리즘을 이용한 생산-설치 데이터 생성모델 기초연구)

  • Son, Seung-Hyun;Kim, Sun-Kuk
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2016.05a
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    • pp.166-167
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    • 2016
  • Unlike the past, supported by the development of digital technologies, free-form buildings are frequently designed with creative thoughts of architectural designers. However, there are some difficulties preventing successfully completion of projects, like reduced productivity and increased construction duration and cost upon the process of producing and installing concrete panels for free-form structures. In particular, there are active studies on the CNC machine for production of free-form concrete panels. Yet, it is difficult to effectively and easily come up with information on production and installation of free-form, curve-surfaced panels which are difficult to be mathematically defined. This requires a lot of manpower and time to implement the curved surfaces of free-form buildings as intended by architects. Accordingly, it needs a model that can effectively create production-installation data of free-form concrete panels for successful free-form building projects. Thus, the purpose of the study is to suggest data estimation model of production-installation using mathematical algorithm in free-form concrete panels. The study results will realize effective production and installation of free-form concrete members, allowing improved productivity of projects, reduced cost and shortened construction duration.

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A Study on Estimating Construction Cost of Apartment Housing Projects Using Genetic Algorithm-Support Vector Regression (유전 알고리즘 - 서포트 벡터 회귀를 활용한 공동주택 공사비 예측에 관한 연구)

  • Nan, Jun;Choi, Jae-Woong;Choi, Hyemi;Kim, Ju-Hyung
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.4
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    • pp.68-76
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    • 2014
  • The accurate estimation of construction cost is important to a successful development in construction projects. In previous studies, the construction cost are estimated by statistical methods. Among the statistical methods, support vector regression (SVR) has attracted a lot of attentions because of the generalization ability in the field of cost estimation. However, despite the simplicity of the parameter to be adjusted, it is not easy to find optimal parameters. Therefore, to build an effective SVR model, SVR's parameters must be set properly without additional data handling loads. So this study proposes a novel approach, known as genetic algorithm (GA), which searches SVR's optimal parameters, then adopt the parameters to the SVR model for estimating cost in the early stage of apartment housing projects. The aim of this study is to propose a GA-SVR model and examine the feasibility in cost estimation by comparing with multiple regression analysis (MRA). The experimental results demonstrate the estimating performance based on the percentage of estimations within 25% and find it can effectively do the accurate estimation without through the trial and error process.

Object oriented generic cost modeling for integrated CAD system

  • Lee, Chang-Ho
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1994.04a
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    • pp.715-725
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    • 1994
  • The objective of this research is to develop a cost model for integrated CAD system. A computerized system realizing this model then is used to aid designers. The first area is to propose a conceptual framework of a multilevel cost model. The methodology of constructing the model is discussed. Then suggestion of an object oriented programming technique for implementing the model is presented. Complicate estimation procedure can be systematically handled by this technique. Interval analysis to deal with the uncertainty of information and decision during design process is used. An experimentation algorithm for calculating the cost distribution is proposed to overcome the shortcoming of interval analysis. Major focus of this research is on net shape manufacturing processes including die casting, injection molding, and metal forming.

A Quantitative ERRC Analysis Method via Requirements Cost Estimation (요구사항의 비용산출을 통한 정량적인 ERRC 분석 방법)

  • Eom, Jeong-Yong;Kim, Neung-Hoe;Lee, Dong-Hyun;In, Hoh Peter
    • Journal of Information Technology Services
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    • v.8 no.1
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    • pp.113-124
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    • 2009
  • Value-based requirements engineering process, called The ViRE(Value-Innovative Requirement Engineering) was suggested to create an uncontested market using ERRC(Eliminate, Reduce, Raise, Create) requirements analysis. But ViRE did not provides a quantitative data analysis method for ERRC decision so as to make objective decisions for customers. In this paper, to solve this problem, we suggest a quantitative ERRC analysis method by estimating requirements cost. Our method defines user requirements and decides their weight. Then, it makes quality level table for all the identified requirements and function modules and estimate implementation cost based on their quality levels. Finally, assess each requirement's impact and then evaluate ERRC value. We could get the more objective ERRC values by evaluate the requirement weight. functional module weight, and implementation cost. And we proved the efficiency of our model by a case study, smart student ID system.

Preliminary cost estimation for large-scale nuclear hydrogen production based on SI process (초고온가스원자로 열원 SI 공정을 이용한 원자력수소생산시스템 비용 예비 분석)

  • Yang, Kyoung-Jin;Choi, Jae-Hyuk;Lee, Ki-Young;Lee, Tae-Hoon;Lee, Kyoung-Woo;Kim, Mann-Eung
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.06a
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    • pp.723-726
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    • 2009
  • As a preliminary study of cost estimates for nuclear hydrogen systems, the hydrogen production costs of the nuclear energy sources benchmarking GT-MHR are estimated in the necessary input data on a Korean specific basis. G4-ECONS developed by EMWG of GIF in 2008 was appropriately modified to calculate the cost for hydrogen production of SI process with VHTR as a thermal energy source rather than the LUEC. The estimated costs presented in this paper show that hydrogen production by the VHTR could be competitive with current techniques of hydrogen production from fossil fuels if $CO_2$ capture and sequestration is required. Nuclear production of hydrogen would allow large-scale production of hydrogen at economic prices while avoiding the release of $CO_2$. Nuclear production of hydrogen could thus become the enabling technology for the hydrogen economy. The major factors that would affect the cost of hydrogen were also discussed.

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Optimal Maintenance Cycle for Aviation Oil Testing Equipment under the Consideration of Operational Environment (운용환경을 고려한 항공오일시험장비의 최적정비주기 설정)

  • Kim, In Seok;Jung, Won
    • Journal of Applied Reliability
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    • v.16 no.3
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    • pp.224-230
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    • 2016
  • Purpose: Military maintenance involves corrective and preventive actions carried out to keep a system in or restore it to a predetermined condition. This research develops an optimal maintenance cycle for aviation oil testing equipment with acceptable reliability level and minimum maintenance cost. Methods: The optimal maintenance policy in this research aims to satisfy the desired reliability level at the lowest cost. We assume that the failure process of equipment follows the power law non-homogeneous Poisson process model and the maintenance system is a minimal repair policy. Estimation and other statistical procedures (trend test and goodness of fit test) are given for this model. Results: With time varying failure rate, we developed reliability-based maintenance cost optimization model. This model will reduce the ownership cost through adopting a proactive reliability focused maintenance system. Conclusion: Based on the analysis, it is recommended to increase the current maintenance cycle by three times which is 0.5 year to 1.5 years. Because of the system's built-in self-checking features, it is not expected to have any problems of preventative maintenance cycle.

Integrated Simulation Modeling of Business, Maintenance and Production Systems for Concurrent Improvement of Lead Time, Cost and Production Rate

  • Paknafs, Bahman;Azadeh, Ali
    • Industrial Engineering and Management Systems
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    • v.15 no.4
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    • pp.403-431
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    • 2016
  • The objective of this study is to integrate the business, maintenance and production processes of a manufacturing system by incorporating errors. First, the required functions are estimated according to the historical data. The system activities are simulated by Visual SLAM software and the required outputs are obtained. Several outputs including lead times in different dimensions, total cost and production rates are computed through simulation. Finally, data envelopment analysis (DEA) is utilized in order to select the best option between the defined scenarios due to the multi-criteria feature of the problem. This is the first study in which the lead times, cost and production rates are simultaneously considered in the integrated system imposed of business, maintenance and production processes by incorporating errors. In the current study, the major bottlenecks of the system being studied are identified and suggested different strategies to improve the system and make the best decision.