• Title/Summary/Keyword: Multi-Criteria

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Project scheduling by FGP to Time-Cost-Quality trade off: construction case study

  • Faregh, Najmeh;Ketabi, Saeedeh;Ghandehari, Mahsa
    • Journal of Construction Engineering and Project Management
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    • v.4 no.3
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    • pp.53-59
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    • 2014
  • Project managers are responsible to conduct project on time with least amount of costs and the most possible quality with respect to shortage of resources and environmental certainties. They have to make the best decision to reach such conflicting objects. In this study the project scheduling with multi goals-multi modes was planned in fuzzy conditions under resource constraints and expanded by fuzzy goal programing (FGP). The project cost was calculated by the price of renewable resources and the quality criteria were evaluated by the quality function deployment method (QFD). Finally the model was verified by a construction case study with 22 activities along with solving by GAMS. The results showed that this model could provide a systematic framework to facilitate the decision making process and made the project managers to be able to schedule the project closer to reality.

Process Sequence Design in Cold Forging of Constant Velocity Joint Housing (등속조인트 하우징의 냉간단조 공정설계)

  • 이진희;강범수;김병민
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.9
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    • pp.2234-2244
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    • 1994
  • A process sequence of multi-operation cold forging for actual application in industry is designed with the rigid-plastic finite element method to form a constant velocity joint housing(CVJ housing). The material flow during the CVJ housing forming is axisymmetric until the final forging process for forming of ball grooves. This study treats the deformation as an axisymmetric case. The main objective of the process sequence design is to obtain preforms which satisfy the design criteria of near-net-shape product requiring less machining after forming. The process sequence design also investigates velocity distributions, effective strain distributions and forging loads, which are useful information in the real process design.

Sensitivity analysis of weights in multi-layer perceptron realizing continuous mappings

  • Choi, Chong-Ho;Choi, Jin-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10b
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    • pp.1377-1382
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    • 1990
  • In Multi-Layer Perceptron (MLP) which realizes continuous mappings, the output errors is directly affected by the weight errors which may be caused by the limited precision of digital or analog hardware in implementations. So, it is important to study the sensitivity due to the perturbation of connection weights between neurons. In this paper, we derive a sensitivity function to the statistical weight perturbations in MLP with differentiable activation functions. This sensitivity function can be regarded as an ensemble average of deterministic sensitivity measures due to the perturbations of weights. Hence, this sensitivity function can be used as the criteria for selecting weights with the minimum sensitivity among possible sets of connection weights in MLP. For the verification of the validity of the proposed sensitivity function, computer simulations have been performed and through the simulations we find good agreement between the theoretical and simulation results.

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Practical Optimization Methods for Finding Best Recycling Pathways of Plastic Materials

  • Song, Hyun-Seob;Hyun, Jae Chun
    • Clean Technology
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    • v.7 no.2
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    • pp.99-107
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    • 2001
  • Optimization methodologies have been proposed of find the best environment-friendly recycling pathways of plastic materials based on life-cycle assessment (LCA) methodology. The main difficulty in conducting this optimization study is that multiple environmental burdens have to be considered simultaneously as the cost functions. Instead of generating conservative Pareto or noninferior solutions following multi-objective optimization approaches, we have proposed some practical criteria on how to combine the different environmental burdens into a single measure. The obtained single objective optimization problem can then be solved by conventional nonlinear programming techniques or, more effectively, by a tree search method based on decision flows. The latter method reduces multi-dimensional optimization problems to a set of one-dimensional problems in series. It is expected the suggested tree search approach can be applied to many LCA studies as a new promising optimization tool.

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Sire Evaluation Using Animal Model and Conventional Methods in Murrah Buffaloes

  • Jain, A.;Sadana, D.K.
    • Asian-Australasian Journal of Animal Sciences
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    • v.13 no.9
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    • pp.1196-1200
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    • 2000
  • First lactation records of 683 Murrah buffaloes maintained at National Dairy Research Institute, Karnal, were used for comparing the sire evaluation for age at first calving, first lactation 305-day or less milk yield and first service period. The sires were evaluated using Simple daughters average, Contemporary comparison, Least-squares and BLUP methods. The BLUP evaluations were obtained under single-, two- and three-trait individual animal models. The results revealed that for taking a decision regarding the method of sire evaluation to be used for selecting sires with high breeding values, criteria of the rank correlation could be misleading and comparison of the selected sires is likely to give a veritable picture. The Best Linear Unbiased Prediction method under multi-trait animal model incorporating first lactation milk yield with first service period as a covariable and age at first calving in the model was found to be more efficient and accurate for sire selection in Murrah buffaloes.

Development of CAD System for Optimal Topology Design using Density Distribution (밀도 분포를 이용한 최적 위상 설계 시스템의 개발)

  • 정진평;이건우
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.852-859
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    • 1994
  • Optmal topology design is to search the optimal layout of the structure which can be used fot the shape of the conceptual design stage. Our objective is to maximize the stiffness of the structure under a material usage constraint. The density of each finite element is the design variable and its relationship with Young's modulus is expressed by quadratic form. The shape is represented by the entire density distribution, the structural analysis is performed by finite element method and the optimization is achieved by feasible direction method. Unlike optimality criteria method,feasible direction method can handle various problems simultaneously, that is, multi- objectives and multi-constraints. Total optimization time can be reduced by the approximation of the material property and fewer design variables than homogenization method. Topology optimization is applied to design the shape of ribs.

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An Intelligent DSS to Assist in Multi-Attributed Managerial Decision Under Fuzziness (불명확한 상황에서의 다중속성 경영의사결정을 지원하기 위한 지능적 의사결정지원시스템)

  • Hong, Il-Yu
    • Asia pacific journal of information systems
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    • v.5 no.1
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    • pp.52-85
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    • 1995
  • This paper develops a new approach to dealing with qualitative reasoning processes involved in managerial decisions, drawing upon choice strategies that have been developed within the general framework of multi-criteria decision making. Issues such as choices under uncertainty and preference formulation are addressed. An MCDM DSS intended to assist in high-level management decisions must focus on helping the decision maker to properly define the problem by providing a structure to it and to dynamically evaluate the alternative courses of action. A conceptual architecture is developed and presented to propose a general model for designing decision support systems specifically designed to assist in MCDM in a managerial context. A commercial loan approval judgment case is described to illustrate the real-world situation where decisions are made under fuzziness and usually require a high degree of intuition and subjective judgment. Development of a prototype system intended to partially represent application of the architecture is described.

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A Study on the Improvement of Recycled Aggregate Quality by Multi-Stage Wind Pressure Treatment (다단형 풍압처리에 의한 순환골재 품질개선에 관한 연구)

  • Jeon, Chan-Soo;Song, Tae-Hyeob;Kim, Ji-Hoon;Choi, Won-Young
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.05a
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    • pp.271-272
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    • 2018
  • As the supply and demand of natural aggregate becomes more difficult in the domestic construction site continuously, many studies related to the recycled aggregate produced in the construction waste are going on. However, because of the safety and performance of the recycled aggregate, it is not used as aggregate for the structure, and it is mainly used as a nonstructural material. In addition, as the "recycled aggregate quality standard" has been revised in 2017, quality standards for various properties of recycled aggregate have been adjusted, and production technology suitable for recycled aggregate quality standards for concrete is needed. In this study, to improve the quality of recycled aggregate, we applied multistage wind pressure treatment method to the existing recycled aggregate production facility and compared the density, absorption rate, particle size before and after recycled aggregate treatment. As a result, quality criteria in various properties were analyzed satisfactorily.

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Fuzzified multi-object programming application in evaluation and selection of Electronic Commerce systems suppliers (전자상거래시스템 공급자 평가 및 선정에 관한 연구)

  • 정희진
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.4
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    • pp.226-235
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    • 1999
  • The purpose of this study is to present models for evaluation and selection of Electronic Commerce systems suppliers. The Major concern of management is that almost all decision problems have multiple, usually conflicting, criteria. The fuzzified multi-objective programming models are given to accommodate the aspiration level and satisfaction level of decision makers. The proposed models are classified into three types, that is, min-operator. additive and pre-emptive priority. Numerical Examples illustrating each type of model are presented and the implications of these models are discussed.

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On a Risk Assessment Methodology based on the Technology Readiness Levels, Degrees of Difficulty, and Technology Need Values in the Development of Naval Surface Ships (수상함 개발에서 기술성숙도, 난이도 및 중요도 기반의 위험도 평가 방안)

  • Kim, Kyong-Hwan;Lee, Jae-Chon
    • Journal of the Korea Safety Management & Science
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    • v.14 no.3
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    • pp.151-158
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    • 2012
  • The objective of this paper is to propose a method of how to perform risk assessment in the early stage of defense research and development for the acquisition of weapon systems. An advanced method for risk assessment and its associated objective functions are developed first based on the concept of systems engineering. The developed method is then applied to carry out the analysis of alternatives in the trade-off environments. As a case study, the multi-purpose training ship is considered, where it is performed using the notions of technology readiness levels, degrees of difficulty, and technology need values to facilitate design space visualization and decision maker interaction. It is noted that decision makers can benefit from our approach as an improved risk assessment method in the context of multi-criteria decision making.