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2013 International Conference on Intelligent System,Applied Materials and Control Technology (GSAMCT 2013)

作者： Huaping Wu Min Huang Xingwei Wang College of Information Science and Engineering Northeastern UniversityState Key Laboratory of Synthetical Automation for Process Industries(Northeastern University) Shenyang

This paper investigates single machine scheduling problem with unequal release times and deterioration jobs where the objective function of it is minimal makespan.A mixed integer mathematical programming optimization model is developed for the problem which belongs to the NP-hard *** model is tested on examples and compared with a heuristic algorithm introduced by Lee et al..Moreover,the branch-bound algorithm proposed by Lee et *** can obtained optimal solutions the same as the results from CPLEX but the CPU time of it for 28 jobs even needs more than 2 hours,thus,the results between them are not *** to results of computational tests,it is showed that the proposed model is very effective in solving problems because it can obtain optimal solutions within a short ***,it is very useful and valuable for decision maker who requires the optimal solutions.

关键词： Single machine scheduling Makespan Unequal release times Deterioration jobs mixed integer mathematical programming

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Integrated production scheduling and vehicle routing problem with job splitting and delivery time windows

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2017年第20期55卷 5942-5957页

作者： Fu, Liang-Liang Aloulou, Mohamed Ali Triki, Chefi Hong Kong Polytech Univ Dept Elect Engn Hong Kong Hong Kong Peoples R China Quintiq SAS Paris France Univ Paris 09 PSL Paris 16 France CNRS LAMSADE UMR 7243 Paris France Sultan Qaboos Univ Dept Mech & Ind Engn Muscat Oman Univ Salento Dept Engn Innovat Lecce Italy

In this paper, we study a production scheduling and vehicle routing problem with job splitting and delivery time windows in a company working in the metal packaging industry. In this problem, a set of jobs has to be processed on unrelated parallel machines with job splitting and sequence-dependent setup time (cost). Then the finished products are delivered in batches to several customers with heterogeneous vehicles, subject to delivery time windows. The objective of production is to minimize the total setup cost and the objective of distribution is to minimize the transportation cost. We propose mathematical models for decentralized scheduling problems, where a production schedule and a distribution plan are built consecutively. We develop a two-phase iterative heuristic to solve the integrated scheduling problem. We evaluate the benefits of coordination through numerical experiments.

关键词： integrated production and outbound delivery scheduling set-up times mixed integer mathematical programming integrated logistics engineering two-phase iterative heuristic

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Note to: a mathematical model and ant colony algorithm for multi-manned assembly line balancing problem (vol 89, pg 1935, 2017)

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2017年第5-8期89卷 1941-1941页

作者： Yilmaz, Hamid Yilmaz, Mustafa Ataturk Univ Erzurum Turkey

Some feasible mathematical model solution results in a recent paper (Fattahi et al., Int J Adv Manuf Technol, 53:363-378, 2011) are incorrect. In this note, we show by counterexamples that the results are incorrect an... 详细信息

关键词： Assembly line balancing Multi-manned workstations mixed integer mathematical programming

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Integrating photovoltaics into energy systems by using a run-off-river power plant with pondage to smooth energy exchange with the power gird

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APPLIED ENERGY 2017年 198卷 21-35页

作者： Jurasz, Jakub Ciapala, Bartlomiej AGH Univ Sci & Technol Fac Management Ul Gramatyka 10 PL-30067 Krakow Poland AGH Univ Sci & Technol Fac Geol Geophys & Environm Protect Al Mickiewicza 30 PL-30059 Krakow Poland

In order to slow climate change, economies need to quickly move away from finite energy sources and towards using low-carbon energy systems. However, the integration of non-dispatchable wind and solar sources comes with additional costs and can make the energy market unusual and unpredictable. Specifically, the presence of variable renewable energy sources makes it harder to accurately forecast energy demand. This paper is a first step in presenting a novel approach to overcoming the inherent variability of photovoltaics (PV) by combining them with a run-off-river (ROR) power plant. A mixed integer mathematical model has been developed and applied to simulate the operation of a PV-ROR hybrid energy source coupled with the national power system. Simulations demonstrate various configurations of parameters and their impact on the objective function which was to maximize the volume of energy from PV and hydropower used to cover energy demand, while ensuring that neither energy deficits nor energy surpluses exceed 5% of energy demand. Our analysis indicates that an ROR power plant with relatively small pondage is capable of subsidizing the varying energy output of the PV system. Besides conducting a simulation and optimization, this paper suggests an approach to smoothing the energy exchange with the grid based on fixed volumes of energy which should be delivered during daylight and nighttime hours. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Variable renewable energy source Hybrid power source mixed integer mathematical programming Demand curve variability

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A new linear adjacency approach for facility layout problem with unequal area departments

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JOURNAL OF MANUFACTURING SYSTEMS 2015年第Part1期37卷 93-103页

作者： Tari, Farhad Ghassemi Neghabi, Hossein Sharif Univ Technol Dept Ind Engn Tehran Iran

In this study a new version of adjacency, which provides a more flexible layout design, is proposed. In the proposed version, departments which are nonadjacent yet close to each other are considered to be adjacent with a smaller adjacency rating. It is shown that the proposed adjacency is a generalized version of the traditional adjacency. A mathematical programming model is developed for the proposed facility layout problem. To show the flexibility and efficacy of the proposed model, a computational study is conducted. The solution of an illustrative example as well as the solutions of several test problems, reveal flexibility and efficacy of the proposed model. (C) 2015 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.

关键词： Generalized version of adjacency Facility planning of unequal department sizes mixed integer mathematical programming Linear adjacency relation

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Train Platforming Problem 11

Train Platforming Problem

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11th Symposium on Geoinformatics for Intelligent Transportation (GIS)

作者： Janosikova, L'udmila Krempl, Michal Univ Zilina Fac Management Sci & Informat Dept Math Methods & Operat Res Zilina 01026 Slovakia Tech Univ Ostrava Inst Transport Fac Mech Engn Ostrava 70833 Czech Republic

ISBN: (纸本)9783319114637;9783319114620

The train platforming problem consists in the allocation of passenger trains to platforms in a railway station. One of the important problems a dispatcher has to solve, especially in a large railway station, is to decide, at which platform track an approaching train should arrive. There is a tool helping him in his job called the track occupancy plan. The plan specifies for each arriving or departing train the platform track along with the time slot during which the track will be occupied by the train. This paper deals with a method for computer-aided design of the track occupancy plan. The problem is formulated as a bi-criterion mixed integer programming problem. The first objective is to minimise the deviations of the arrival and departure times proposed by the model from the times specified by the timetable. The second criterion maximises the desirability of the platform tracks to be assigned to the trains. The model is solved using a lexicographic approach and the local branching algorithm. The model was verified by using the real data of Prague main station. Results of the experiments are included.

关键词： Train platforming Scheduling mixed integer mathematical programming Multiple-objective programming

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Benefits of earth observation data for conservation planning in the case of European wetland biodiversity

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ENVIRONMENTAL CONSERVATION 2013年第1期40卷 37-47页

作者： Jantke, Kerstin Schleupner, Christine Schneider, Uwe A. Univ Hamburg Res Unit Sustainabil & Global Change D-20144 Hamburg Germany

To evaluate the status of biodiversity and to determine how current conservation efforts can be improved, biodiversity monitoring is crucial. An important aspect of data quality lies in its spatial resolution. It is unclear how finer scale land cover and land value information might further benefit biodiversity conservation. This paper aimed to assess the impacts of scale by modelling the conservation of endangered European wetland species and their corresponding habitats. Fine-scale datasets were derived by integrating existing geographical, biophysical and economic data. A habitat allocation model, based on principles from systematic conservation planning and economic theory, was developed to estimate area requirements and opportunity costs of habitat protection in Europe. Coarse-scale and fine-scale simulations were compared by inputting both resolutions into the model. Habitat locations were restricted either only by historical species occurrence data at UTM 50 resolution or additionally by explicit wetland data at 1-km(2) resolution. Coarse country-average land rents were contrasted with spatially detailed land rent estimates at a 5' resolution. Costs of habitat protection and area requirements for reserves may be severely underestimated when conservation planning relies only on coarse-scale data, which may result in notable shortcomings in conservation target achievement. Improvements in conservation benefits far outweigh the additional costs of acquiring fine-scale data.

关键词： biodiversity policy earth observation data resolution homogenous response units land use optimization model mixed integer mathematical programming spatial wetland distribution systematic conservation planning

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An Optimization Model Algorithm Based on MPLS Network

An Optimization Model Algorithm Based on MPLS Network

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2006年国际电子、工程及科学领域的分布式计算和应用学术研讨会

作者： ZhanTing Yuan,QiuYu Zhang,ZhuPing Hua,JianMing Yu School of Computer and Communication Lanzhou University of Technology Lanzhou,Gansu Province,China 730050

Multiprotocol Label Switching has become the important technique in NGN'development,contributing for doing an efficient Traffic Engineering in order to provide the QoS and to optimize resource *** this purpose,it is possible to apply mixed integer mathematical programming techniques to model routing problem minimizing implantation,operation and maintenance network *** present an optimization model applied to the MPLS network planning,which assign paths based on capacity and network architecture constraints,considering LSP *** model is consolidated in two case studies,applying them to plan a MPLS *** main characteristics of the MPLS concerning to the network planning approach are presented.

关键词： MPLS Label Switched Paths mixed integer mathematical programming Label Switching Router Label Edge Router

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Numerical analyses of a directed graph formulation of the multistage distribution expansion problem

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IEEE TRANSACTIONS ON POWER DELIVERY 2004年第3期19卷 1348-1354页

作者： Vaziri, M Tomsovic, K Bose, A Washington State Univ Pullman WA 99164 USA

In this paper, the numerical analysis of a multistage formulation of the distribution expansion problem developed is presented. The approximate objective function is employed without sacrificing optimality. A complete nonlinear mathematical programming optimization is employed to identify the global optimum. The algorithm is applied here to two practical test cases. Details of the input data and configuration of test systems as well as the solutions are listed and discussed. Computational considerations are addressed.

关键词： distribution expansion planning mixed integer mathematical programming multistage planning

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A directed graph formulation of the multistage distribution expansion problem

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IEEE TRANSACTIONS ON POWER DELIVERY 2004年第3期19卷 1335-1341页

作者： Vaziri, M Tomsovic, K Bose, A Washington State Univ Pullman WA 99164 USA

In this paper, the objectives and detailed analysis of the multistage distribution expansion are presented. The problem is modeled as a directed graph minimum edge cost network flow problem. This new formulation details a multistage framework within a single mathematical program while addressing several deficiencies of previous approaches. The accuracy of a single step approximation of the objective function, without using the conventional linearization techniques, is discussed. Each of the constraints is introduced in terms of industry standard practices. Detailed numerical results for practical study cases are provided in a separate paper.

关键词： power system planning distribution expansion multistage planning mixed integer mathematical programming

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