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International Conference on Sensors, Mechatronics and Automation (ICSMA)

作者： Sun, Ling Zhu, Zesheng JiangSu Acad Agr Sci Nanjing 210014 Peoples R China Naval Command Coll Nanjing 210016 Peoples R China

ISBN: (纸本)9783038350170

Ecological restoration of degraded wetland ecosystem can be achieved by planning experts according to ground investigation, but with low efficiencies. We report that satellite sensors, maximizing ecosystem service values and minimizing ecological restoration cost improve ecological restoration efficiency. In particular, multi-objective linear programming (MOLIP), an optimal programming, improves ecological restoration efficiency by more than 250% in the return on investment of ecological restoration, using TM satellite as area sensors. MOLIP also enables efficient introduction of ecological restoration management without introduction of planning experts and ground investigation.

关键词： Degraded wetland ecosystem Ecological restoration Satellite sensors multi-objective linear programming Return on investment

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Designing the green supply chain performance optimisation model

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Global Journal of Flexible Systems Management 2014年第3期15卷 235-259页

作者： Jakhar, Suresh Kumar Indian Institute of Management Rohtak Rohtak India

There is a growing concern that business enterprises and their supply chains focus on economic activities while ignoring their impact on the environment. An attempt is made here to develop a green supply chain to address this concern. With the objectives of achieving economic growth and environmental protection, the paper develops a green supply chain performance measures and proposes a partner selection and flow allocation decision making model. An integrated methodology of structural equation modeling (SEM), analytical hierarchy process (AHP), and multiobjective linear programming (MOLP), has been applied to the proposed model. To assess green performance of a supply chain, a scale is developed that includes qualitative as well as quantitative measures. Using the scale and the survey data of 278 business organizations from Indian apparel industry supply chain network, the SEM model is developed to estimate the weights of the green constructs and their measures. Based on the measures, relative scores of different supply chain alternatives (i.e. suppliers, manufacturing plants, distribution and logistics) are calculated by the AHP. The weights estimated by the SEM approach are combined with AHP relative scores to obtain weighted relative scores of different available alternatives. These weighted relative scores are then used in MOLP problem formulation for partner selection and flow allocation decision making. To illustrate the use of the optimization model, real-time data from an apparel manufacturer are presented. © 2014 Global Institute of Flexible Systems Management.

关键词： Analytical hierarchy process Flow optimization Green supply chain multi-objective linear programming Performance evaluation Structural equation modeling

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multiple objective branch and bound for mixed 0-1 linear programming: Corrections and improvements for the biobjective case

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COMPUTERS & OPERATIONS RESEARCH 2013年第1期40卷 498-509页

作者： Vincent, Thomas Seipp, Florian Ruzika, Stefan Przybylski, Anthony Gandibleux, Xavier Univ Nantes CNRS UMR 6241 LINA F-44322 Nantes 03 France Univ Kaiserslautern Dept Math AG Optimizat D-67663 Kaiserslautern Germany

This work addresses the correction and improvement of Mavrotas and Diakoulaki's branch and bound algorithm for mixed 0-1 multiple objective linear programs. We first elaborate the issues encountered by the original algorithm and then propose a corrected version for the biobjective case using an exact representation of the nondominated set associated with an appropriate update procedure. Then we introduce several improvements using better bound sets and branching strategies and finally present some experiments to study the effectiveness of our propositions. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： multi-objective mixed integer programming Nondominated set Dominance filtering multi-objective linear programming Branch and bound

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Considering Product Life Cycle Cost for Solving Vendor Selection Problems

Considering Product Life Cycle Cost for Solving Vendor Selec...

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2014 International Conference on Advanced Computer Science and Engineering(ACSE 2014)

作者： Chang-shu TU Chia-rong SU Ching-ter CHANG Chang Gung University Department of Information Management

For high-tech companies to consider when purchasing product, product life cycle cost is one of the most important evaluation tools. We develop a new efficient solution product life cycle cost model that addresses ten goals such as net cost minimization, rejection minimization, late delivery minimization, and minimization of product life cycle cost subject to three realistic vendor capacities and three budget constraints. The results achieved with the four types of goal programming approaches should be useful for determining vendor quotas in supply chain if the capacity and budget constraints of each vendor are not known with certainty. Moreover, we provide high-tech case study how one can solve the product life cycle cost problem within a single-buyer-multiple-supplier procurement situation. Our study main contribution is managers at high-tech companies can easily apply our model to select their vendors in a fuzzy environment.

关键词： Vendor selection Product life cycle cost multi-objective linear programming multi-choice goal programming

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Integrating rooftop solar into a multi-source energy planning optimization model

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APPLIED ENERGY 2013年 111卷 456-467页

作者： Arnette, Andrew N. Univ Wyoming Coll Business Dept Management & Mkt Laramie WY 82071 USA

This research uses an optimization model to compare the role of rooftop solar generation versus large-scale solar and wind farm installations in renewable energy planning. The model consists of competing objectives, minimizing annual generation costs and minimizing annual greenhouse gas emissions. Rather than focus on the individual consumer's investment decision, over 20 scenarios were developed which explored key input parameters such as the maximum penetration level of rooftop solar installations, pricing of equipment, tax credits, and net-metering policy to determine what role rooftop solar plays in renewable energy investment at an aggregate level. The research finds that at lower levels of penetration, such as those currently found in the United States, other renewable energy sources remain viable options, thus rooftop solar should be just one option considered when increasing development of renewable energy sources. The research also shows that a balanced approach taking into account both of the opposing objectives will lead to greater levels of rooftop solar generation than focusing solely on cost or emissions. Therefore, rooftop solar should be considered as part of an overall balanced approach to increasing renewable energy generation. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Rooftop solar Renewable energy multi-objective linear programming Optimization Public policy

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No-wait flow shop scheduling using fuzzy multi-objective linear programming

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JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 2008年第5期345卷 452-467页

作者： Javadi, Babak Saidi-Mehrabad, M. Haji, Alireza Mahdavi, Iraj Jolai, F. Mahdavi-Amiri, N. Mazandaran Univ Sci & Technol Dept Ind Engn Babol Sar Iran Iran Univ Sci & Technol Dept Ind Engn Tehran Iran Sharif Univ Technol Dept Ind Engn Tehran Iran Univ Tehran Dept Ind Engn Fac Engn Tehran Iran Sharif Univ Technol Dept Math Sci Tehran Iran

This study develops a fuzzy multi-objective linear programming (FMOLP) model for solving the multi-objective no-wait flow shop scheduling problem in a fuzzy environment. The proposed model attempts to simultaneously minimize the weighted mean completion time and the weighted mean earliness. A numerical example demonstrates the feasibility of applying the proposed model to no-wait flow shop scheduling problem. The proposed model yields a compromised solution and the decision maker's overall levels of satisfaction. (C) 2008 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

关键词： no-wait flow shop scheduling multi-objective linear programming fuzzy multi-objective linear programming decision maker

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Method for solving unbalanced fully fuzzy multi-objective solid minimal cost flow problems

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APPLIED INTELLIGENCE 2013年第2期38卷 239-254页

作者： Kaur, Manjot Kumar, Amit Thapar Univ Sch Math & Comp Applicat Patiala 147004 Punjab India

In fuzzy single and multi-objective minimal cost flow (MCF) problems, it is assumed that there is only one conveyance which can be used for transporting the product. However, in real life problems, more than one conveyance is used for transporting the product. To the best of our knowledge untill now no method is proposed in the literature for solving such fuzzy single and multi-objective MCF problems in which more than one conveyance is used for transporting the product and all the parameters, as well as all the decision variables that are represented by fuzzy numbers. In this paper, these types of fuzzy multi-objective MCF problems are called fully fuzzy multi-objective solid minimal cost flow (SMCF) problems and a new method is proposed for solving these problems. The advantages of the proposed methods are also discussed.

关键词： multi-objective linear programming Fuzzy multi-objective solid minimal cost flow problem Ranking function LR flat fuzzy number

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Theoretical Considerations of Joint Optimal Model for Water Allocation and Pipe Placement

Theoretical Considerations of Joint Optimal Model for Water ...

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International Conference on Energy Engineering and Environmental Engineering (ICEEEE 2013)

作者： Bai, Lu Liu, Shuming Wang, Huanhuan Tsinghua Univ Environm Sch Beijing 100084 Peoples R China

ISBN: (纸本)9783037856833

Water shortage emerges and restricts the urban construction and the social-development due to the rapid expansion of the cities. Recent research mainly focuses on the water resources management or water distribution network management separately. In this paper, a joint optimal model for water allocation and water distribution network management is developed. In the first phase, a multi-objectives linear programming is used for the optimal allocation on multi-water resources for multi-users, in which cost and water conservation are regards as objectives. In the second phase, a non-linear model is proposed, which is solved by single-objective GA linking to EPANET hydraulic solver. The result of the first phase is a parameter of the objective in the second phase.

关键词： EPANET multi-objective linear programming water allocation Genetic Algorithm

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An optimization model for regional renewable energy development

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RENEWABLE & SUSTAINABLE ENERGY REVIEWS 2012年第7期16卷 4606-4615页

作者： Arnette, Andrew Zobel, Christopher W. Univ Wyoming Coll Business Laramie WY 82071 USA

This research effort details the modeling component of a comprehensive decision support system for energy planning that allows for combining existing electricity generating capabilities with increased use of renewable energy sources. It focuses on energy planning at the regional level, and it is illustrated by applying it to the greater southern Appalachian mountains of the eastern United States: a region that was chosen for analysis not only due to its heavy dependence on coal for electricity, but also because of its potential for increased use of wind and solar power. The paper specifically discusses the development of a multi-objective linear programming (MOLP) model that can be used to determine the optimal mix of renewable energy sources and existing fossil fuel facilities on a regional basis. This model allows a decision maker to balance annual generation costs against the corresponding greenhouse gas emissions, and it provides significant support for implementing a variety of different policy analyses. (c) 2012 Elsevier Ltd. All rights reserved.

关键词： Renewable energy multi-objective linear programming Optimization

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Optimal input/output reduction in production processes

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DECISION SUPPORT SYSTEMS 2012年第3期52卷 742-747页

作者： Amirteimoori, Alireza Emrouznejad, Ali Islamic Azad Univ Dept Appl Math Appl Math & Operat Res Grp Rasht Iran Aston Univ Aston Business Sch Operat & Informat Management Grp Birmingham B4 7ET W Midlands England

While conventional Data Envelopment Analysis (DEA) models set targets for each operational unit, this paper considers the problem of input/output reduction in a centralized decision making environment. The purpose of this paper is to develop an approach to input/output reduction problem that typically occurs in organizations with a centralized decision-making environment. This paper shows that DEA can make an important contribution to this problem and discusses how DEA-based model can be used to determine an optimal input/output reduction plan. An application in banking sector with limitation in IT investment shows the usefulness of the proposed method. (C) 2011 Elsevier B.V. All rights reserved.

关键词： Data envelopment analysis Input/output reduction Efficiency multi-objective linear programming

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