检索结果-内蒙古大学图书馆

2015 International Conference on Advances in Management Engineering and Information Technology(AMEIT 2015)

作者： H.D.Chen Z.P.Wang Y.Chen Transportation Management College Dalian Maritime University Department of Mathematics Dalian Maritime University

In this research, we proposed an integrated two-stage fuzzy approach. In the first phase, a framework for supplier selection criteria is proposed. Besides, a fuzzy method is designed to evaluate suppliers based on qualitative criteria. The output of this stage is the weight of each supplier. In the second phase, we proposed a fuzzy multi objective linear programming model to determine which suppliers should be selected(strategic decisions), and find out the optimal number of units purchased(tactical decisions), which is also satisfy the decision maker's aspirations for fuzzy goals. To our knowledge, this model is the first effort to consider supplier selection based on qualitative criteria, order allocation, acceptable aspirations, simultaneously. The mathematical programming model is validated through numerical analysis.

关键词： supplier selection qualitative criteria multi objective programming fuzzy sets theory

来源：评论

学校读者我要写书评

暂无评论

Goal programming approach for solving transportation problem with interval cost

引用

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2014年第3期26卷 1143-1154页

作者： Narayanamoorthy, Samayan Anukokila, Paraman Bharathiar Univ Dept Appl Math Coimbatore 641046 Tamil Nadu India

This paper presents a fuzzy goal programming approach for solving multi-objective transportation problem with interval cost. The fuzzy goal programming approach is used for achieving highest degree of each of the membership goals by minimizing negative deviational variables. Also a special type of hyperbolic membership function to each objective function describe fuzzy goal. A numerical example is given to illustrate the potential use of the proposed approach.

关键词： Transportation problem fuzzy goal programming interval number multi objective programming

来源：评论

学校读者我要写书评

暂无评论

BOF and CCM matching model for steelmaking plant design

引用

METALURGIA INTERNATIONAL 2013年第3期18卷 193-201页

作者： Lu, Yongming Chen, Hongzhi Wang, Lina Automat Res & Design Inst Met Ind State Key Lab Hybrid Proc Ind Automat Syst & Equi Beijing 100071 Peoples R China

A multi-objective programming mathematical model of the BOF(Basic Oxygen Furnace) and CCM(Continuous Casting Machine) matched was established from the perspective of precise design, on the premise of segmentation and specification of steel according to the production outline, which was the functions on less investment, BOF and CCM matched compact, high operating rate of converter and high level of weighted average casting speed for one production line in the steelmaking plant of all plate and strip. Then, proposed overall configuration method of BOF - CC in the steelmaking plant through combination based on the one production line. The solving method of the model was proposed by the improved stratified sequence method. Finally, the design above is considered as the better project after tested based on the production outline of a new large steel plant.

关键词： precision design BOF and CCM matching multi objective programming mathematical model

来源：评论

学校读者我要写书评

暂无评论

Kinetics of Growth and Weight of Vanadium Gel on Short-Circuited Probes from Various Materials

引用

Journal of Chemistry and Chemical Engineering 2013年第1期7卷 13-17页

作者： Sulejmenov Esen Nurgalyevich Utelbayeva Akmaral Bolysbekovna Meldeshov Amangeldy Abdychalikovich Romanteyev Yuri Pavlovich Utelbayev Bolysbek Toychibekovich Kazakh-British Technical University Almaty 050000 Republic of Kazakhstan

The article provides results of experiments on research of speed of escalating of vanadium gel on short-circuited probes from various metals, particularly from copper and aluminium it is shown that speed of escalating... 详细信息

关键词： Fuzzy sets theory fuzzy logic forecast models fuzzy linear regression multi objective programming

来源：评论

学校读者我要写书评

暂无评论

An integrated model for closed-loop supply chain configuration and supplier selection: multi-objective approach

引用

EXPERT SYSTEMS WITH APPLICATIONS 2012年第8期39卷 6782-6791页

作者： Amin, Saman Hassanzadeh Zhang, Guogqing Univ Windsor Dept Ind & Mfg Syst Engn Windsor ON N9B 3P4 Canada

Reverse logistics consists of all operations related to the reuse of products. External suppliers are one of the important members of reverse logistics and closed loop supply chain (CLSC) networks. However in CLSC network configuration models, suppliers are assessed based on purchasing cost and other factors such as on-time delivery are ignored. In this research, a general closed loop supply chain network is examined that includes manufacturer, disassembly, refurbishing, and disposal sites. Meanwhile, it is managed by the manufacturer. We propose an integrated model which has two phases. In the first phase, a framework for supplier selection criteria in RL is proposed. Besides, a fuzzy method is designed to evaluate suppliers based on qualitative criteria. The output of this stage is the weight of each supplier according to each part. In the second phase, we propose a multi objective mixed-integer linear programming model to determine which suppliers and refurbishing sites should be selected (strategic decisions), and find out the optimal number of parts and products in CLSC network (tactical decisions). The objective functions maximize profit and weights of suppliers, and one of them minimizes defect rates. To our knowledge, this model is the first effort to consider supplier selection, order allocation, and CLSC network configuration, simultaneously. The mathematical programming model is validated through numerical analysis. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Supplier selection Reverse logistics (RL) Closed-loop supply chain (CLSC) multi objective programming Fuzzy sets theory (FST)

来源：评论

学校读者我要写书评

暂无评论

Fuzzy data envelopment analysis: A discrete approach

引用

EXPERT SYSTEMS WITH APPLICATIONS 2012年第3期39卷 2263-2269页

作者： Angiz L, Majid Zerafat Emrouznejad, Ali Mustafa, Adli Aston Univ Aston Business Sch Operat & Informat Management Grp Birmingham B4 7ET W Midlands England Islamic Azad Univ Sch Math Firouzkooh Iran Univ Sains Malaysia Sch Math Sci George Town Malaysia

Data envelopment analysis (DEA) as introduced by Charnes. Cooper, and Rhodes (1978) is a linear programming technique that has widely been used to evaluate the relative efficiency of a set of homogenous decision making units (DMUs). In many real applications, the input-output variables cannot be precisely measured. This is particularly important in assessing efficiency of DMUs using DEA, since the efficiency score of inefficient DMUs are very sensitive to possible data errors. Hence, several approaches have been proposed to deal with imprecise data. Perhaps the most popular fuzzy DEA model is based on alpha-cut. One drawback of the alpha-cut approach is that it cannot include all information about uncertainty. This paper aims to introduce an alternative linear programming model that can include some uncertainty information from the intervals within the alpha-cut approach. We introduce the concept of "local alpha-level" to develop a multi-objective linear programming to measure the efficiency of DMUs under uncertainty. An example is given to illustrate the use of this method. Crown Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved.

关键词： Fuzzy data envelopment analysis Interval data Local alpha-level multi objective programming Decision making unit

来源：评论

学校读者我要写书评

暂无评论

multi-objective and multi-constrained non-additive shortest path problems

引用

COMPUTERS & OPERATIONS RESEARCH 2011年第3期38卷 605-616页

作者： Reinhardt, Line Blander Pisinger, David Tech Univ Denmark DTU Management DK-2800 Lyngby Denmark

Shortest path problems appear as subproblems in numerous optimization problems. In most papers concerning multiple objective shortest path problems, additivity of the objective is a de-facto assumption, but in many real-life situations objectives and criteria, can be non-additive. The purpose of this paper is to give a general framework for dominance tests for problems involving a number of non-additive criteria. These dominance tests can help to eliminate paths in a dynamic programming framework when using multiple objectives. Results on real-life multi-objective problems containing non-additive criteria are reported. We show that in many cases the framework can be used to efficiently reduce the number of generated paths. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： multi objective programming Shortest path problem Non-additive objective Dynamic programming

来源：评论

学校读者我要写书评

暂无评论

A hybrid method to select best process and suppliers, in the concurrent engineering environment

引用

IFAC Proceedings Volumes 2011年第1期44卷 6402-6406页

作者： M. Shahrokhi A. Bernard H. Shidpour Engineering department University of Kurdistan Sanandaj P.O. Box: 416 Iran (Tel: +98-916-365-6344) Ecole centrale de Nantes 1 rue de la Noë 44321 NANTES Cedex 3 France Engineering department University of Kurdistan Sanandaj P.O. Box: 416 Iran

Abstract Selection of a configuration for processes and suppliers in concurrent engineering (CE) environment is a very critical step in the new product development (NPD) process. Significance of this problem is clarified when many of the cost and time parameters are not available, in the early design stage. Therefore, considering simultaneous many of approximate parameters is necessary to develop an efficient product design. This paper proposes a hybrid method to address CE problem involving selection of processes and suppliers in an uncertain. The proposed method integrates multi objective programming and fuzzy AHP to select processes and suppliers, by simultaneous consideration of cost and time of production, quality and safety of the final product. A numerical example is used to illustrate the model and finally, article is ending with expressing some of the limitations and suggestions. This method can be used to develop decision-making systems to determine the optimal production design, in concurrent engineering platform.

关键词： Concurrent engineering new product development supply chain multi objective programming fuzzy AHP

来源：评论

学校读者我要写书评

暂无评论

Optimization of Regional R&D Funding Investment Structure using Grey System Methods

Optimization of Regional R&D Funding Investment Structure us...

引用

2011 IEEE International Conference on Grey System and Intelligent Services Joint with the 15th WOSC International Congress on Cybernetics and System(2011 IEEE灰色系统与智能服务国际会议暨系统与控制世界组织第15届年会)

作者： Chun-Guang Shen Bing Chen School of Law and Political Sciences Xuchang University Xuchang HenanPR China College of Mechanical Engineering Shanghai University of Technology Shanghai PR China

For the operation mechanism of R&D input-output system is imprecision, it is hard to predict the structure optimization of R&D funding *** paper confirms contribution degree of scientific and technological output from R&D funding by grey correlation analysis, and establishes objective *** last, we predict and optimize the R&D funding investment of Jiangsu Province in twelfth five-year, and the best allocation program is given, which verifies the feasibility and effectiveness of the method.

关键词： R&D funding investment grey system theory multi objective programming structure optimization

来源：评论

学校读者我要写书评

暂无评论

Fuzzy assessment of performance of a decision making units using DEA: A non-radial approach

引用

EXPERT SYSTEMS WITH APPLICATIONS 2010年第7期37卷 5153-5157页

作者： Angiz, M. Zerafat L. Emrouznejad, A. Mustafa, A. Aston Univ Aston Business Sch Birmingham B4 7ET W Midlands England Univ Sains Malaysia Sch Math Sci George Town Malaysia Islamic Azad Univ Firoozkoh Iran

Data Envelopment Analysis (DEA) is recognized as a modern approach to the assessment of performance of a set of homogeneous Decision Making Units (DMUs) that use similar sources to produce similar outputs. While DEA commonly is used with precise data, recently several approaches are introduced for evaluating DMUs with uncertain data. In the existing approaches many information on uncertainties are lost. For example in the defuzzification, the alpha-level and fuzzy ranking approaches are not considered. In the tolerance approach the inequality or equality signs are fuzzified but the fuzzy coefficients (inputs and outputs) are not treated directly. The purpose of this paper is to develop a new model to evaluate DMUs under uncertainty using Fuzzy DEA and to include alpha-level to the model under fuzzy environment. An example is given to illustrate this method in details. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： Fuzzy DEA multi objective programming Membership function Uncertainty

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：