检索结果-内蒙古大学图书馆

Fuzzy Efficient Interactive Goal programming Approach for multi-objective Transportation Problems

International Journal of Applied and Computational Mathematics 2017年第2期3卷 505-525页

作者： Singh, Pitam Kumari, Saru Singh, Priyamvada Department of Mathematics Motilal Nehru National Institute of Technology Allahabad Allahabad India Department of Mathematics C.C.S University Campus Meerut India Department of Earth and Planetary Sciences University of Allahabad Allahabad India

multi-objective transportation problem (MOTP) is a special case of vector minimization linear optimization problem with equality constraints and the objectives are conflicting in nature. Due to the conflicting nature of objectives, no method is available to find single optimal solution for MOTP. All the methods can find only the compromise solution. This paper presents an efficient method for solving MOTP to find fuzzy efficient and compromise solution using the qualities of three well known approaches i.e. (i) fuzzy programming, (ii) goal programming, (iii) interactive programming. In this approach, fuzzy goals are decided by the decision maker (DM) for each objectives and membership functions are constructed for each objective. Then the method is developed using fuzzy set theory and the best quality of the developed method is that the decision maker is focussed only in the part of evaluation of the solution at each step using the acceptable terms and conditions. The present method is the extension of Waeil and Lee (Omega 34:158–166, 2006). To measure the efficiency of the method, some distance metric functions are used and it is verified by two numerical examples. The results are compared with previous reported work for the same numerical problems. © 2016, Springer India Pvt. Ltd.

关键词： Fuzzy goal programming Fuzzy multi-objective transportation programming Interactive programming multi-objective programming multi-objective transportation problem

来源：评论

学校读者我要写书评

暂无评论

Biofuel logistics network scheme design with combined data envelopment analysis approach

引用

ENERGY 2020年 209卷 118342-118342页

作者： Hong, Jae-Dong Mwakalonge, Judith L. South Carolina State Univ Ind Engn 300 Coll St NE Orangeburg SC 29117 USA South Carolina State Univ Transportat Program 300 Coll St NE Orangeburg SC 29117 USA

This paper studies the biofuel logistics network scheme (BLNS) design problem dealing with several decision variables, such as the biofuel facility location, allocation, delivering harvested biomass stocks to biofuel producing facilities, and distributing biofuels to the stations. Since building the biofuel facilities requires a huge amount of investments, designing an efficient BLNS will be essential to attract potential investors. We formulate the design problem as a multi-objective programming (MOP) model. Solving the MOP model would yield various network schemes based upon the weight given to each objective/goal. Data envelopment analysis (DEA) method could be applied to evaluate the efficiency of each BLNS generated by solving the MOP model. Several approaches based on the traditional DEA method emerge to overcome a critical weakness regarding discriminating power. This paper combines three well-known DEA methods to make the most use of each method's strengths and to evaluate and identify the more efficient network schemes. Through a case study for South Carolina, we observe that the proposed procedure performs well in terms of designing efficient and robust BLNSs. The proposed procedure would enable the decision-makers to have more choices for BLNSs to consider before finally selecting the best scheme regarding efficiency, practicality, and feasibility. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： Biofuel logistics network scheme Biomass stocks Biofuel producing multi-objective programming Cross efficiency multiple criteria data envelopment analysis

来源：评论

学校读者我要写书评

暂无评论

Uncertain programming model for multi-item solid transportation problem

引用

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 2018年第4期9卷 559-567页

作者： Dalman, Hasan Yildiz Tech Univ Deparment Math Engn TR-34210 Esenler Turkey

In this paper, an uncertain multi-objective multi-item Solid Transportation Problem (MMSTP) based on uncertainty theory is presented. In the model, transportation costs, supplies, demands and conveyances parameters are taken to be uncertain parameters. There are restrictions on some items and conveyances of the model. Therefore, some particular items cannot be transported by some exceptional conveyances. Using the advantage of uncertainty theory, the MMSTP is first converted into an equivalent deterministic MMSTP. By applying convex combination method and minimizing distance function method, the deterministic MMSTP is reduced into single objective programming problems. Thus, both single objective programming problems are solved using Maple 18.02 optimization toolbox. Finally, a numerical example is given to illustrate the performance of the models.

关键词： multi-objective programming Solid transportation problem multi-item transportation problem Uncertain programming Uncertainty theory

来源：评论

学校读者我要写书评

暂无评论

Research Based On multi-objective programming on Allocation of Water Resources in Panjin Shuangtai Estuary Wetland

引用

1st International Conference on Energy and Environmental Protection (ICEEP 2012)

作者： Wang, Tieliang Yuan, Xin Lu, Xiaofeng Su, Fangli Zhang, Xiaolei Shenyang Agr Univ Coll Water Conservancy Shenyang 110161 Peoples R China

ISBN: (纸本)9783037854167

In order to restore ecological function of wetland, determine the exploitation plan of water resources reasonably and promote the sustainable development of ecological function in wetland, based on the exploitation and utilization situation as well as the planning objectives of Panjin Shuangtai estuary wetland, this essay focuses on discussing water demand of natural ecological system, water quality of agricultural irrigation and aquaculture, and residential water consumption in wetland. Using various areas of wetland as decision variables and aiming to restore the size of all areas back to that in 2000, this essay takes the view of system engineering as guidance, establishes multi-objective programming model for rational allocation of wetland resources, and makes it able to compare with the other three created configurations plans. Results show that only giving priority to the needs of ecological water consumption of wetland to achieve an efficient use of surrounding water resources can we make the recovery of this wetland better and faster, and therefore achieve a desired sustainable development of ecological function. This has an important significance in leading us to a sustainable development of ecological restoration and constructing a framework of coordinated use of water resources of wetland system.

关键词： estuary wetland water resources rational distribution multi-objective programming ecological restoration

来源：评论

学校读者我要写书评

暂无评论

The optimization analysis of urban disaster hedge places based on multi-objective programming

The optimization analysis of urban disaster hedge places bas...

引用

24th Chinese Control and Decision Conference (CCDC)

作者： Zhao Ping Guo Bin Wang Peng-zhi Xian Univ Architecture & Technol Civil Engn Coll Xian 710055 Peoples R China

ISBN: (纸本)9781457720727

For establishing the city post-disaster emergency rescue shelter mechanism, the multi-objective programming is namely adopted for stationing and the emergency rescue shelter venues are prepared to arrange for fleeing victims. The present status and the progress of the traditional risk study are summarized, and then the multi-objective programming of distribution is used to in order to analysis the urban shelter optimally. The multi-objective approach is introduced to study the problems of the escape of evacuation stadium disaster, and then a multi-objective programming model is changed into an integer programming model to complete the stationing issues of post-disaster hedge places. The post-disaster hedge places entity optimization model is established by legitimately using multi-objective programming method, and the four targets, minimization shelter points for escaping, the minimization cost of investment, the maximization numbers of escape refugees and the fastest rate of escaping (the shortest time for arriving at escaping asylum points), are selected out to makes the distribution achieve the desired goals. And then an example is investigated to verify the feasibility of this method.

关键词： distribution multi-objective programming risk normalization

来源：评论

学校读者我要写书评

暂无评论

multi-objective IT Professionals' Utilization Problems Using Fuzzy Goal programming 5th

Multi-objective IT Professionals' Utilization Problems Using...

引用

5th International Conference on Frontiers in Intelligent Computing - Theory and Applications (FICTA)

作者： Jana, R. K. Sanyal, Manas Kumar Chakrabarti, Saikat Indian Inst Social Welf & Business Management Kolkata 700073 WB India Univ Kalyani Kalyani 741235 WB India Inst Engn & Management Ashram Campus Kolkata India

ISBN: (纸本)9789811031564;9789811031557

This paper presents a fuzzy goal programming approach to solve IT professionals' utilization problems for software firms. These problems involve multiple objectives and binary decision variables. The fuzzy goal programming approach helps to quantify uncertainness of the objectives of the problem. With the help of membership functions, the problem is converted to its equivalent deterministic form. A case study demonstrates the effectiveness of the approach.

关键词： multi-objective programming Fuzzy goal programming Human resource planning Information technology

来源：评论

学校读者我要写书评

暂无评论

multi-objective bilevel fuzzy probabilistic programming problem

引用

OPSEARCH 2017年第3期54卷 475-504页

作者： Ranarahu, N. Dash, J. K. Acharya, S. Siksha O Anusandhan Univ Inst Tech Educ & Res Dept Math Khandagiri Sq Bhubaneswar 751030 Odisha India KIIT Univ Sch Appl Sci Dept Math Bhubaneswar Orissa India

This paper presents an efficient method for solving a multi objective bilevel programming problem with multiple number of objective functions in both first level as well as in second level. The uncertain parameters are present in second level in form of fuzzy random variables. In this case the fuzzy random variables are assumed to be fuzzy normal random variables. First the fuzziness is removed by using alpha cut technique and randomness is removed by chance constrained method. Then multi objective bilevel programming problem is transformed into a single objective non-linear mathematical model by using fuzzy programming technique. This non-linear mathematical model is solved by existing methodology or software. A numerical example is presented to illustrate the efficiency and feasibility of the proposed method.

关键词： Stochastic programming multi-objective programming Fuzzy programming Fuzzy normal random variables Bilevel programming Optimization techniques

来源：评论

学校读者我要写书评

暂无评论

An integrated replenishment-recruitment policy in a sustainable retailing system for deteriorating products

引用

SOCIO-ECONOMIC PLANNING SCIENCES 2020年 69卷 100686-100686页

作者： Sazvar, Zeinab Sepehri, Mehran Univ Tehran Coll Engn Dept Ind Engn Tehran Iran Sharif Univ Technol Grad Sch Management & Econ Tehran Iran

Currently, retail facilities play a significant role both economically and socially for their contributions to job creation and to reducing unemployment. In this paper, economic, environmental, and social issues, including unemployment, job creation for the local workforce within their hometown, the immigration of an unemployed workforce, and the naturalization of non-natives are addressed for a retailer. We explore the class of deteriorating products from the viewpoint of its economic and environmental features. Then, a linear multi-objective mathematical model is developed to determine an integrated replenishment and recruitment policy for the retailer in the direction of sustainability. Using data from the flower industry, a numerical analysis is presented. The results indicate that if necessary facilities and infrastructures are provided to permanently settle qualified immigrants, both social and economic indicators will be improved. We also determine that by concentrating on strategies such as job creation for natives through retail facilities with no increase in production capacity and by applying careful policies for immigration and naturalization, social welfare can be improved.

关键词： Deteriorating products Job creation Sustainable retailer Immigration multi-objective programming Native workforce

来源：评论

学校读者我要写书评

暂无评论

A Meta-Heuristic Algorithm Based on Simulated Annealing for Designing multi-objective Supply Chain Systems

A Meta-Heuristic Algorithm Based on Simulated Annealing for ...

引用

Industrial and Systems Engineering Conference (ISEC)

作者： Mohammed, Awsan Duffuaa, Salih King Fahd Univ Petr & Minerals Syst Engn Dept Dhahran Saudi Arabia

ISBN: (纸本)9781728101453

This paper proposes a new solution based on tuned-parameter simulated annealing algorithm to obtain near-optimum solutions for solving large multi-objective multi-product supply chain design problem. The selected objective functions are: maximize the total profit, minimize the total supply chain risk, and minimize the supply chain emissions. The characteristics of the algorithm are developed and presented, then coded and tested. Since there is no benchmark available in the existing and state-of-the-art papers, the results acquired by the developed algorithm are compared with the results obtained by an improved augmented e-constraint algorithm embedded in the General Algebraic Modeling System ( GAMS) software for small-scale, medium-scale, and large-scale instances of the multi-objective supply chain problem. The results indicate that the developed simulated annealing algorithm is able to obtain acceptable solutions with reasonable computational time.

关键词： multi-objective supply chain Meta-heuristic algorithms Simulated annealing multi-objective programming

来源：评论

学校读者我要写书评

暂无评论

Combining data envelopment analysis and multi-objective model for the efficient facility location–allocation decision

引用

Journal of Industrial Engineering International 2019年第2期15卷 315-331页

作者： Hong, Jae-Dong Jeong, Ki-Young Industrial Engineering South Carolina State University Orangeburg 29117 SC United States Engineering Management University of Houston at Clear Lake Houston 77058 TX United States

This paper proposes an innovative procedure of finding efficient facility location–allocation (FLA) schemes, integrating data envelopment analysis (DEA) and a multi-objective programming (MOP) model methodology. FLA decisions provide a basic foundation for designing efficient supply chain network in many practical applications. The procedure proposed in this paper would be applied to the FLA problems where various conflicting performance measures are considered. The procedure requires that conflicting performance measures classified as inputs to be minimized, or outputs to be maximized. Solving an MOP problem generates diverse alternative FLA schemes along with multi-objective values. DEA evaluates these schemes to generate a relative efficiency score for each scheme. Then, using stratification DEA, all of these FLA schemes are stratified into several levels, from the most efficient to the most inefficient levels. A case study is presented to demonstrate the effectiveness and efficiency of the proposed integrating method. We observe that the combined approach in this paper performs well and would provide many insights to academians as well as practitioners and researchers. © 2018, The Author(s).

关键词： Data envelopment analysis Facility location–allocation multi-objective programming Performance measures Relative efficiency score

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：