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2015 International Conference on Industrial Engineering and Operations Management (IEOM)

作者： Chou, Pei-Wen Wang, Hsiao-Fan Natl Tsing Hua Univ Dept Ind Engn & Engn Management Hsinchu 30013 Taiwan

ISBN: (纸本)9781479960651

To achieve four goals of energy safety assurance, sustainable development, low-carbon environment and avoiding price volatility of fossil fuels, a new energy policy was announced by the government of Taiwan in November 2011. Also, the Government will actively fulfill the carbon reduction target and electricity stable supply policy under three major principles of reaching international carbon reduction commitments, no limitation of electricity usage and valid electricity price. Consequently, the Government encourages private enterprises to generate electric power of renewable energy and sell back to the public enterprise. In order to support a private enterprise to evaluate the possible generation combination of the renewable energy under the consideration of intermittence of renewable energy, environmental protection and generation cost, given the monthly electricity demand, this study proposes 2-stage analytical model of which at the first stage, a multi-objective model is proposed to optimize the mix of the electricity from power company and the renewable energy generation in order to maximize the total energy generation of renewable energies, while minimizing carbon emission at a minimum cost;and at the second stage, a Markov chain model is developed to determine which combination of renewable energies is most likely to provide more power generations. By substituting the steady-state probability obtained from the second stage, the third goal of generation maximization under the stable power supply can be achieved.

关键词： Renewable energy generation combination intermittence multi-objective programming Markov chain

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Rational allocation of passenger transportation structures in a metropolitan area 5

Rational allocation of passenger transportation structures i...

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5th International Conference on Transportation Engineering, ICTE 2015

作者： Lu, Huapu Yu, Luhong Qi, Shengyu Institute of Transportation Engineering Department of Civil Engineering Tsinghua University Beijing China School of Traffic and Transportation Beijing Jiaotong University Beijing China

ISBN: (数字)9780784479384

ISBN: (纸本)9780784479384

In light of the rapid development of urbanization, this essay mainly studies the new type of metropolitan area during city evolution and researches about the rational allocation of intercity passenger transportation in metropolitan areas. Based on analyzing the mode and the demand characteristics of the metropolitan transportation, in terms of both sides of transportation supply and demand, establishes the objective function, maximizing the passenger transport efficiency and minimizing residents' cost of travelling, and builds the multi-objective programming model using restraining variables such as economy, environment, efficiency and service in the passenger transport system. To solve the question above, we apply genetic algorithm (GA) and get the most reasonable transportation structure in metropolitan in sustainable development. Given the same city transportation capacity, different travelling mode split can result in different utilization efficiency, with which we can assess the rationality of the transportation allocation. Finally, we take the Wuhan metropolitan as an example and use the model to allocate the rational transportation structure from Wuhan city to Xiaogan city. © ASCE.

关键词： Metropolitan area Transportation structure multi-objective programming Genetic algorithm (GA)

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Application of multi-Choice Fuzzy Linear programming Problem to a Garment Manufacture Company

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JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES 2015年第6期36卷 569-593页

作者： Acharya, Srikumar Biswal, M. P. KIIT Univ Sch Appl Sci Dept Math Bhubaneswar Orissa India Indian Inst Technol Dept Math Kharagpur 721302 W Bengal India

In this paper, we consider a fuzzy multi-choice linear programming problem where some of the parameters and decision variables are trapezoidal type fuzzy numbers. In order to defuzzify a general fuzzy quantity the concept of nearest trapezoidal fuzzy number is introduced. By assuming all the decision variables as trapezoidal fuzzy number, the objective function and the left hand side of constraints are approximated to their nearest trapezoidal fuzzy number. Interpolating polynomials are formulated for all multi-choice type parameters. multi-choice type parameters are replaced by polynomials with integer variables. Then an equivalent multi-objective non linear programming problem is established. First and second objective functions represent left and right modal values of the trapezoidal type fuzzy number, where as the third and fourth objective functions represent the left and right spreads of the trapezoidal type fuzzy number. By applying lexicographic method optimal solution is obtained. In addition, a case study on a garment manufacture company is presented to demonstrate the solution procedure.

关键词： Fuzzy programming Problem multi-Choice programming multi-objective programming Mixed Integer programming

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Improving Fairness in Staff Assignment: An Approach for Lexicographic Goal programming

Improving Fairness in Staff Assignment: An Approach for Lexi...

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IEEE International Conference on Industrial Engineering and Engineering Management

作者： Tom Rihm Philipp Baumann Dept. of Bus. Adm. Univ. of Bern Bern Switzerland

ISBN: (纸本)9781467380676

In many staff-assignment problems, a large variety of requirements has to be considered when assigning employees to work shifts. As the importance of the requirements is often described in a hierarchical manner, lexicographic goal programming has been used to minimize the number of requirement violations. The resulting schedules are in general of high quality with respect to requirement violations but may lack acceptance by employees because of an unfair distribution of the violations. We introduce a novel approach for lexicographic goal programming that allows to improve an existing schedule in terms of fairness without deteriorating its quality with regard to requirement violations. The effectiveness of the proposed approach is demonstrated for a test set derived from real-world data.

关键词： Staff Assignment Fairness multi-objective programming Mixed-Integer Linear programming

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Supply Chain Coordination Under Ramp-Type Price and Effort Induced Demand Considering Revenue Sharing Contract

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ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH 2015年第2期32卷 1550004-1550004页

作者： Saha, Subrata Sarmah, S. P. Inst Engn & Management Dept Math Kolkata 700091 W Bengal India Indian Inst Technol Dept Ind & Syst Engn Kharagpur 721302 W Bengal India

In this paper, a revenue sharing contract is designed to coordinate a distribution channel where the demand of the product is ramp-type price and effort sensitive. It is shown that traditional revenue sharing contract does not coordinate the system. As an alternative, two new mechanisms are proposed (i) revenue sharing with coordinated effort of the retailer alone and (ii) both revenue and effort sharing contract. In addition, a crucial modification of revenue sharing fraction is also proposed. To enhance the applicability of revenue sharing contract, the contract parameters are determined by using bi-level multi-objective fuzzy goal programming technique where manufacturer sets the wholesale price greater than the marginal cost. Numerical examples are presented to illustrate all the models.

关键词： Supply chain coordination revenue sharing ramp-type demand multi-objective programming

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On the efficiency test in multi-objective linear fractional programming problems by Lotfi et al. 2010

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APPLIED MATHEMATICAL MODELLING 2013年第10-11期37卷 7086-7093页

作者： Stanojevic, Bogdana Stanojevic, Milan Serbian Acad Arts & Sci Math Inst Belgrade 11001 Serbia Univ Belgrade Fac Org Sci Belgrade 11000 Serbia

The solution concept in multi-objective programming is represented by a program which reaches "the best compromise". Many solving methods find a good compromise feasible solution and then check whether the solution is efficient or not. In this paper, using the efficiency test introduced by Lotfi et al. (2010) [12], we propose two procedures for deriving weakly and strongly efficient solutions in multi-objective linear fractional programming problems (MOLFPP) starting from any feasible solution, and present their possible applications in multiple criteria decision-making process. Then, we discuss a shortcoming of some fuzzy approaches to solving MOLFPP and modify them in order to guarantee the efficiency of the optimal solution. (C) 2013 Elsevier Inc. All rights reserved.

关键词： multi-objective programming Linear fractional programming Efficient solution Fuzzy approach

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Landfill Location with Expansion Possibilities in Developing Countries

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INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE 2015年第2期22卷 292-300页

作者： Manyoma, Pablo Orejuela, Juan P. Torres, Patricia Marmolejo, Luis F. Vidal, Carlos J. Univ Valle Sch Ind Engn Santiago De Cali Colombia Univ Valle Sch Nat Resources & Environm Engn Santiago De Cali Colombia

Municipal Solid Waste Management (MSWM) has become one of the main challenges of urban areas in the world. For developing countries, this situation is of greater severity due to disordered population growth, rapid industrialization, and deficiency in regulations, among other factors. One component of MSWM is the final disposal, where landfills are the most commonly used technologies for this purpose. According to a body of research, landfill location should meet the needs of all stakeholders, thus we propose a model based on multi-objective programming considering several decisions such as landfill opening, when they should be opened, and especially a common situation in our countries: the kind of expansion capacity that should be used. We present an example that reflects the conflict of two objectives: cost and environmental risk. The results show the allocation of each municipality to each landfill and the amount of municipal solid waste to be sent, among other variables.

关键词： capacity expansion landfill location multi-objective programming municipal solid waste management undesirable facilities

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An ε-constraint multi-objective optimization model for web-based convergent product networks using the Steiner tree

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SCIENTIA IRANICA 2015年第3期22卷 1155-1170页

作者： Hassanzadeh, R. Mahdavi, I. Mahdavi-Amiri, N. Mazandaran Univ Sci & Technol Dept Ind Engn Babol Sar Iran Sharif Univ Technol Fac Math Sci Tehran Iran

A convergent product is an assembly shape concept integrating functions and sub-functions to form a final product. To conceptualize the convergent product problem, a web-based network is considered in which a collection of base functions and sub-functions configure the nodes, and each arc in the network is considered to be a link between two nodes. The aim is to find an optimal tree of functionalities in the network, adding value to the product in the web environment. First, an algorithm is proposed to assign the links among bases and sub-functions. Then, numerical values, as benefits and costs, are determined for arcs and nodes, respectively, using a mathematical approach. Also, customer value corresponding to the benefits is considered. Finally, the Steiner tree methodology is adapted to a multi-objective model optimized by an augmented epsilon-constraint method. An example is worked out to illustrate the proposed approach. (C) 2015 Sharif University of Technology. All rights reserved.

关键词： Convergent product Web-based (digital) network multi-objective programming Steiner tree a-constraint

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Urban Electric Vehicle Charging Station Configuration in Consideration of the Characteristics of Urban Power Grid

Urban Electric Vehicle Charging Station Configuration in Con...

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2015 4th International Conference on Materials Engineering for Advanced Technologies(ICMEAT 2015)

作者： Ke Li Shaoli Quan Zhigang Wang Yingzi Li State Grid Henan Economic Research Institute State Grid Zhumadian Power Supply Company North China Electric Power University

Electric vehicles have multiple action in energy conservation, load shifting, etc. Proper charging facilities planning methods and models can guide construction, and promote the development of electric vehicles. Based on the regional characteristics of urban road network, this paper proposes a multiobjective programming model to configure electric vehicle charging station for urban road network. In this model, our objective is to maximize the total captured traffic, and to minimize the distribution network loss and voltage offset. Our model takes into account not only the convenience of the users, but also the impact on power quality and system operation and economy after charging stations are accessed to distribution systems. Using super-efficiency DEA model, we determine the objective function weights. And thus, the multiobjective programming is converted to a single-objective programming problems. And then improve BPSO algorithm is used to solve this single-objective optimization problem after conversion.

关键词： Electric vehicle Charging Regional characteristics Urban road network multi-objective programming Super-efficiency DEA model

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Concurrent cell formation and layout design using scatter search

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2014年第1-4期71卷 1-22页

作者： Jabal-Ameli, M. Saeed Moshref-Javadi, Mohammad Iran Univ Sci & Technol Dept Ind Engn Tehran 16846 Iran Auburn Univ Dept Ind & Syst Engn Auburn AL 36849 USA

Two key decisions in designing cellular manufacturing systems are cell formation and layout design problems. In the cell formation problem, machine groups and part families are determined while in the facility layout problem the location of each machine in each cell (intra-cell layout) and the location of each cell (inter-cell layout) are decided. Owing to the fact that there are interactions between two problems, cell formation and layout design problem must be tackled concurrently to design a productive manufacturing system. In this research, two problems are investigated concurrently. Some important and realistic factors such as inter-cell layout, intra-cell layout, operations sequence, part demands, batch size, number of cells, cell size, and variable process routings are incorporated in the problem. The problem is formulated as a mathematical model. Three different methods are described to solve the problem: multi-objective scatter search (MOSS), non-dominated genetic algorithm (NSGA-II), and the epsilon-constraint method. The methods are employed to solve nine problems generated and adopted from the literature. Sensitivity analysis is accomplished on the parameters of the problem to investigate the effects of them on objective function values. The results show that the proposed MOSS algorithm performs better than NSGA-II and produces better solutions in comparison to multi-stage approaches.

关键词： Cellular manufacturing systems Cell formation Layout design multi-objective programming Scatter search NSGA-II

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