Relevant bibliographies by topics / Decision Support Systems and Linear Mixed Integer Programming

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  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Decision Support Systems and Linear Mixed Integer Programming'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Decision Support Systems and Linear Mixed Integer Programming"

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Gomes da Silva, Carlos, José Figueira, João Lisboa, and Samir Barman. "An interactive decision support system for an aggregate production planning model based on multiple criteria mixed integer linear programming." Omega 34, no. 2 (2006): 167–77. http://dx.doi.org/10.1016/j.omega.2004.08.007.

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Rippel, Daniel, Nicolas Jathe, Michael Lütjen, and Michael Freitag. "Evaluation of Loading Bay Restrictions for the Installation of Offshore Wind Farms Using a Combination of Mixed-Integer Linear Programming and Model Predictive Control." Applied Sciences 9, no. 23 (2019): 5030. http://dx.doi.org/10.3390/app9235030.

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The installation of offshore wind farms poses particular challenges due to expensive resources and quickly changing weather conditions. Model-based decision-support systems are required to achieve an efficient installation. In the literature, there exist several models for scheduling offshore operations, which focus on vessels but neglect the influence of resource restrictions at the base port and uncertainties involved with weather predictions. This article proposes a Mixed-Integer Linear Programming model for the scheduling of installation activities, which handles several installation vesse
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Ramakurthi, Veera Babu, V. K. Manupati, José Machado, and Leonilde Varela. "A Hybrid Multi-Objective Evolutionary Algorithm-Based Semantic Foundation for Sustainable Distributed Manufacturing Systems." Applied Sciences 11, no. 14 (2021): 6314. http://dx.doi.org/10.3390/app11146314.

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Rising energy prices, increasing maintenance costs, and strict environmental regimes have augmented the already existing pressure on the contemporary manufacturing environment. Although the decentralization of supply chain has led to rapid advancements in manufacturing systems, finding an efficient supplier simultaneously from the pool of available ones as per customer requirement and enhancing the process planning and scheduling functions are the predominant approaches still needed to be addressed. Therefore, this paper aims to address this issue by considering a set of gear manufacturing ind
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Maldonado, Sebastián, Juan Pérez, Richard Weber, and Martine Labbé. "Feature selection for Support Vector Machines via Mixed Integer Linear Programming." Information Sciences 279 (September 2014): 163–75. http://dx.doi.org/10.1016/j.ins.2014.03.110.

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Alves, Maria João, and João Clı́maco. "A note on a decision support system for multiobjective integer and mixed-integer programming problems." European Journal of Operational Research 155, no. 1 (2004): 258–65. http://dx.doi.org/10.1016/s0377-2217(02)00887-1.

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Lee, In Gyu, Qianqian Zhang, Sang Won Yoon, and Daehan Won. "A mixed integer linear programming support vector machine for cost-effective feature selection." Knowledge-Based Systems 203 (September 2020): 106145. http://dx.doi.org/10.1016/j.knosys.2020.106145.

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KECECI, Baris, Tusan DERYA, Esra DINLER, and Yusuf Tansel IC. "A COMPARATIVE STUDY OF THE CAPABILITY OF ALTERNATIVE MIXED INTEGER PROGRAMMING FORMULATIONS." Technological and Economic Development of Economy 24, no. 2 (2017): 561–84. http://dx.doi.org/10.3846/20294913.2016.1213202.

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In selecting the best mixed integer linear programming (MILP) formulation the important issue is to figure out how to evaluate the performance of each candidate formulation in terms of selected criteria. The main objective of this study is to propose a systematic approach to guide the selection of the best MILP formulation among the alternatives according to the needs of the decision maker. For this reason we consider the problem of “selecting the most appropriate MILP formulation for a certain type of decision maker” as a multi-criteria decision making problem and present an integrated AHP-TO
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Claassen, G. D. H. "Mixed integer (0–1) fractional programming for decision support in paper production industry." Omega 43 (March 2014): 21–29. http://dx.doi.org/10.1016/j.omega.2013.05.008.

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Guerrero Campanur, Aaron, Elias Olivares-Benitez, Pablo A. Miranda, Rodolfo Eleazar Perez-Loaiza, and Jose Humberto Ablanedo-Rosas. "Design of a Logistics Nonlinear System for a Complex, Multiechelon, Supply Chain Network with Uncertain Demands." Complexity 2018 (November 12, 2018): 1–16. http://dx.doi.org/10.1155/2018/4139601.

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Industrial systems, such as logistics and supply chain networks, are complex systems because they comprise a big number of interconnected actors and significant nonlinear and stochastic features. This paper analyzes a distribution network design problem for a four-echelon supply chain. The problem is represented as an inventory-location model with uncertain demand and a continuous review inventory policy. The decision variables include location at the intermediate levels and product flows between echelons. The related safety and cyclic inventory levels can be computed from these decision varia
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Cheng, Lihong, Lei Feng, and Zhiwu Li. "Model abstraction for discrete-event systems by binary linear programming with applications to manufacturing systems." Science Progress 104, no. 3 (2021): 003685042110308. http://dx.doi.org/10.1177/00368504211030833.

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Model abstraction for finite state automata is helpful for decreasing computational complexity and improving comprehensibility for the verification and control synthesis of discrete-event systems (DES). Supremal quasi-congruence equivalence is an effective method for reducing the state space of DES and its effective algorithms based on graph theory have been developed. In this paper, a new method is proposed to convert the supremal quasi-congruence computation into a binary linear programming problem which can be solved by many powerful integer linear programming and satisfiability (SAT) solve
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Dissertations / Theses on the topic "Decision Support Systems and Linear Mixed Integer Programming"

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Oliveira, Bruno Quirino de. "MODELOS DE OTIMIZAÇÃO PLIM-FUZZY PARA O DIMENSIONAMENTO DE REDE E SELEÇÃO DE SERVIÇOS EM TELECOMUNICAÇÕES." Pontifícia Universidade Católica de Goiás, 2015. http://localhost:8080/tede/handle/tede/2464.

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Made available in DSpace on 2016-08-10T10:40:26Z (GMT). No. of bitstreams: 1 Bruno Quirino de Oliveira.pdf: 3736663 bytes, checksum: e1dc08656b351b56c485c6f1ee09217b (MD5) Previous issue date: 2015-03-12<br>Telecommunications experience accelerated evolution. The environment is very competitive and the volume of financial resources involved is significant. The variety of available technologies makes system planning stage, a procedure not only desirable but necessary, especially in a competitive environment. The use of comprehensive and flexible methodologies that can assist in decision-makin
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Ghebretsadik, Amanuel Habte. "Farm planning for a typical crop-livestock integrated farm : an application of a mixed integer linear programming model." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/49965.

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Assignment (MSc) -- University of Stellenbosch, 2004.<br>ENGLISH ABSTRACT: In an integrated crop-livestock production farm, the profitability and sustainability of farm production is dependent on the crop rotation strategy applied. Crop rotations have historically been applied to maintain long-term profitability and sustainabiliry of farming production by exploiting the jointly beneficial interrelationships existing among different crop types and the animal production activity. Monocrop (specifically wheat) growers in the Swartland area of the Western Cape are struggling to maintain lo
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Metta, Haritha. "A MULTI-STAGE DECISION SUPPORT MODEL FOR COORDINATED SUSTAINABLE PRODUCT AND SUPPLY CHAIN DESIGN." UKnowledge, 2011. http://uknowledge.uky.edu/gradschool_diss/137.

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In this research, a decision support model for coordinating sustainable product and supply chain design decisions is developed using a multi-stage hierarchical approach. The model evaluates alternate product designs and their corresponding supply chain configurations to identify the best product design and the corresponding supply chain configuration that maximizes the economic, environmental and societal benefits. The model considers a total life-cycle approach and incorporates closed-loop flow among multiple product lifecycles. In the first stage, a mixed integer linear programming model is
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Wang, Yunfei. "Un système réactif d'aide à la décision pour le transport intermodal de marchandises." Thesis, Valenciennes, 2017. http://www.theses.fr/2017VALE0010/document.

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Le transport fluvial de conteneurs constitue une activité économique importante qui suscite un intérêt grandissant de la part de scientifiques. Considéré comme durable et économique, le transport par barge a été identifié comme étant une alternative compétitive pour le transport de marchandises, en complément des modes traditionnels de transport, routier et ferroviaire. Néanmoins, les travaux de recherche en rapport avec la planification et le management du transport par barge, en particulier dans le contexte du transport intermodal, sont encore peu abondants. Le but de cette thèse est d’appor
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DeGrange, Walter C. "Optimizing global Combat Logistics Force support for Sea Base Operations /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FDeGrange.pdf.

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Correia, Jorge Filipe Almeida. "A decision support tool for retail product assortment." Master's thesis, 2011. http://hdl.handle.net/10071/4293.

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Classificação JEL: C63 – Técnicas computacionais, Simulação. C81 – Metodologia para recolha, estimação e organização de dados microeconómicos; Análise de dados.<br>A gestão de uma gama de produtos é uma das áreas mais importantes para o retalho e para os gestores de categoria. A criação de uma gama de produtos exige a análise de um vasto número de artigos e variáveis. Daqui resulta a necessidade de criar uma ferramenta informática que auxilie o gestor na criação de gamas de produtos. Assim, foi desenvolvido um modelo de simulação com base num problema de programação não linear inteira mista
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Scheller, Fabian. "Modeling and Optimizing of Integrated Multi-Modal Energy Systems for Municipal Energy Utilities." 2018. https://ul.qucosa.de/id/qucosa%3A34155.

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The development of sustainable business models is a challenging task since various factors might influence the results of an assessment. Given the complexity at the municipal level, system interdependencies between different alternatives need to be considered. One possibility to support decision makers is to apply energy system optimization models. Existing optimization models, however, ignore the roles different actors play and the resulting impact they have. To address this research issue, this thesis presents an integrated techno-economic optimization framework called IRPopt (Integrated Re
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Conference papers on the topic "Decision Support Systems and Linear Mixed Integer Programming"

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Mirkouei, Amin, and Karl R. Haapala. "A Network Model to Optimize Upstream and Midstream Biomass-to-Bioenergy Supply Chain Costs." In ASME 2015 International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/msec2015-9355.

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Growing awareness and concern within society over the use of and reliance on fossil fuels has stimulated research efforts in identifying, developing, and selecting alternative energy sources and energy technologies. Bioenergy represents a promising replacement for conventional energy, due to reduced environmental impacts and broad applicability. Sustainable energy challenges, however, require innovative manufacturing technologies and practices to mitigate energy and material consumption. This research aims to facilitate sustainable production of bioenergy from forest biomass and to promote dep
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Bruche, S., and G. Tsatsaronis. "A Multi-Stage Optimization Approach for Energy Supply Systems With Discrete Design Decisions." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11519.

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Abstract Mixed integer linear programming is frequently applied to identify promising design solutions of energy supply systems. However, application-relevant optimization models are often associated with complicating model features, e.g. numerous discrete design candidates or a large time horizon of the optimization. So, even state-of-the-art solvers may be confronted with major challenges to find satisfying solutions within reasonable time. In this paper a systematic multi-stage optimization approach is proposed that is intended to support the available algorithms in solving these complex pr
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Liu, Chang, Shih-Yuan Liu, Elena L. Carano, and J. Karl Hedrick. "A Framework for Autonomous Vehicles With Goal Inference and Task Allocation Capabilities to Support Peer Collaboration With Human Agents." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6262.

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This paper proposes a framework for autonomous vehicles to collaborate with human agents as peers in task completion scenarios. In this framework, the autonomous vehicles utilize the Bayesian inference method to determine human intention. An optimal task allocation that minimizes the mission completion time while respecting the intention of the human agents is developed using the Mixed Integer Linear Programming (MILP) method. The proposed framework can accommodate different levels of suboptimality in human agents’ behavior by adjusting a tunable parameter in the inference model. The effective
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Behdad, Sara, Aida Sefic Williams, and Deborah Thurston. "End of Life Decision Making for Used Products With Uncertain Quantity of Return." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48277.

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The management of end-of-life electronic waste (e-waste) attracts significant attention due to environmental concerns, legislative requirements, consumer interests in green products and market image of manufacturers. However, managing e-waste is complicated by some factors including the high degree of uncertainty of quantity, timing of arrival and quality of the returned products. The variability in the stream of returned end of life (EOL) products makes it difficult to plan for facility materials, equipment and human resource requirements. The aim of this research is to tackle the uncertainty
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Kerzhner, Aleksandr A., and Christiaan J. J. Paredis. "A Mathematical Programming-Based Approach for Architecture Selection." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71025.

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Modern systems are difficult to design because there are a significant number of potential alternatives to consider. The specification of an alternative includes an architecture (which describes the components and connections of the system) and component sizings (the sizing parameter for each component). In current practice, designers rely mainly on their experience and intuition to select a desired architecture without much computational support and then spend most of their effort on optimizing component sizings. In this paper, an approach for representing an architecture selection as a mixed
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Alves, Tiago, and António R. Andrade. "Scheduling Maintenance Technicians in a Railway Depot." In 2021 Joint Rail Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/jrc2021-60425.

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Abstract This paper presents a mathematical programming model that optimizes the daily schedule of maintenance technicians in a railway depot. The aim of the model is the minimization of the associated labor costs, while assigning the different technicians and skills required for each maintenance task. A case study of a Portuguese train operating company is explored, including many technical constraints imposed by the company. A mixed-integer linear programming model is formulated and applied to the case study, while observing the rolling stock schedule and the maintenance tactical plan. The o
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Latour, Anna Louise D., Behrouz Babaki, and Siegfried Nijssen. "Stochastic Constraint Propagation for Mining Probabilistic Networks." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/159.

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A number of data mining problems on probabilistic networks can be modeled as Stochastic Constraint Optimization and Satisfaction Problems, i.e., problems that involve objectives or constraints with a stochastic component. Earlier methods for solving these problems used Ordered Binary Decision Diagrams (OBDDs) to represent constraints on probability distributions, which were decomposed into sets of smaller constraints and solved by Constraint Programming (CP) or Mixed Integer Programming (MIP) solvers. For the specific case of monotonic distributions, we propose an alternative method: a new pro
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Pina, Eduardo A., Miguel A. Lozano, and Luis M. Serra. "Multicriteria Synthesis of Trigeneration Systems Assisted With Renewable Energy Sources and Thermal Energy Storage." In ASME 2017 Power Conference Joint With ICOPE-17 collocated with the ASME 2017 11th International Conference on Energy Sustainability, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/power-icope2017-3103.

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The increasing world energy demand as a result of society development brings forth a growing environmental concern. The use of high-efficiency alternative systems is becoming progressively more interesting due to economic reasons and regional incentives. The issue of finding the best configuration that minimizes total annual cost is not enough anymore, as the environmental concern has become one of the objectives in the synthesis of energy systems. The minimization of costs is often contradictory to the minimization of environmental impact. Multi-objective optimization tackles the conflicting
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Wu, Jiaxin, and Pingfeng Wang. "Risk-Averse Optimization for Resilience Enhancement Under Uncertainty." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22226.

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Abstract With the growth of complexity and extent, large scale interconnected network systems, e.g., transportation networks or infrastructure networks, become more vulnerable towards external disturbances. Hence, managing potential disruptive events during design, operating, and recovery phase of an engineered system therefore improving the system’s resilience is an important yet challenging task. In order to ensure system resilience after the occurrence of failure events, this study proposes a mixed integer linear programming (MILP) based restoration framework using heterogenous dispatchable
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