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linear integer programming Model as Mathematical Ware for an Optimal Flow Production Planning System at Operational Scheduling Stage

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AUTOMATION AND REMOTE CONTROL 2023年第5期84卷 529-542页

作者： Kibzun, A. I. Rasskazova, V. A. Natl Res Univ Moscow Aviat Inst Moscow Russia

The problem of optimal flow production planning at the operational scheduling stage is being studied, using the example of the out-of-furnace department of a converter-based steel-making production in the iron metallurgy industry. To solve this problem, a linear integer programming model is proposed, which fully describes the specifics of the investigated technological processes. A major advantage of this approach is its scalability for solving related optimization problems in the industry of plant logistics, as well as flexibility in adapting to changes and fine-tuning the system of constraints and objective function. The software implementation of the developed model forms the basis of the operational scheduling module of the optimal flow production planning system, which is used for a large-scale computational experiment on real-world data.

关键词： mathematical ware linear integer programming flow production operational planning

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A linear integer programming Model for Fault Diagnosis in Active Distribution Systems With Bi-Directional Fault Monitoring Devices Installed

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IEEE ACCESS 2020年 8卷 106452-106463页

作者： Wang, Chongyu Pang, Kaiyuan Xu, Yan Wen, Fushuan Palu, Ivo Feng, Changsen Zhejiang Univ Sch Elect Engn Hangzhou 310027 Peoples R China Changsha Univ Sci & Technol Sch Elect & Informat Engn Changsha 410114 Peoples R China Tallinn Univ Technol Dept Elect Power Engn & Mechatron EE-19086 Tallinn Estonia Zhejiang Univ Technol Coll Informat Engn Hangzhou 310000 Peoples R China

With the extensive installation of intelligent electronic devices with bi-directional fault monitoring capabilities, richer fault direction information can be collected and utilized to achieve an accurate fault diagnosis. In this paper, we consider the fault diagnosis problem in active distribution systems with distributed generators connected, such as rotating electrical machine power sources and centralized inverter interfaced renewable energy resources. The fault diagnosis problem is modeled as a linear integer programming problem with an objective to minimize the numbers of fault zones and false alarms. A novel functional form is derived to capture the expected alarms sent by bi-directional fault monitoring devices to be compared with the actual alarms received by the dispatch center. Uncertainties in both the monitoring and communication stages are considered in the model by formulating the numbers of false alarms in the objective function. Three types of suspected false alarms can be detected: "missing alarms", "distorted alarms", and "reverse alarms". By solving the developed optimization model for fault diagnosis, false alarms and suspected fault zones can be found. Case studies in a modified IEEE 33-bus system and a 55-bus system in Guangzhou, China are carried out in several different scenarios with multiple faults to demonstrate the performance of the proposed model. Numerical tests show that the proposed approach is superior in computational time such that it can be used for real-time fault diagnosis in active distribution systems.

关键词： Active distribution system bi-directional fault monitoring devices fault diagnosis linear integer programming

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Construction of Polygonal Designs Using linear integer programming

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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2011年第10期40卷 1787-1794页

作者： Mandal, B. N. Gupta, V. K. Parsad, Rajender Indian Inst Soil Sci Bhopal 462038 MP India Indian Agr Res Inst New Delhi India

This article proposes a new linear integer programming approach to obtain polygonal designs for given number of treatments v, block size k, concurrence of treatments separated by a distance of m+1 or more as and all other concurrences as zero, [image omitted]. The main feature of the proposed approach is that it directly identifies the required incidence vectors for generating a polygonal design. Using the proposed approach, a complete solution is provided for constructing polygonal designs for number of treatments v100, block size k=3, =1, 2 and [image omitted].

关键词： Balanced sampling plans excluding adjacent units Incidence vectors Incomplete block designs linear integer programming Polygonal designs

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Designing a conservation reserve network with minimal fragmentation:: A linear integer programming approach

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ENVIRONMENTAL MODELING & ASSESSMENT 2005年第3期10卷 193-202页

作者： Önal, H Briers, RA Napier Univ Sch Life Sci Edinburgh EH10 5DT Midlothian Scotland Univ Illinois Dept Agr & Consumer Econ Urbana IL 61801 USA

In the biological conservation literature, the optimum reserve site selection problem has often been addressed by using the prototype set covering and maximal covering formulations, assuming that representation of species is the only criterion in site selection. This approach usually results in a small but highly fragmented reserve, which is not useful for practical conservation planning. To improve the chances of species' persistence, it may be desirable to reduce habitat fragmentation. This paper presents a linear integer programming formulation to minimize spatial gaps between selected sites in a reserve network, which is applied to a data set on breeding birds.

关键词： species representation conservation reserve fragmentation graph network tree linear integer programming

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AN EXECUTIVE MODEL FOR NETWORK-LEVEL PAVEMENT MAINTENANCE AND REHABILITATION PLANNING BASED ON linear integer programming

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JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION 2020年第2期16卷 795-811页

作者： Ameri, Mahmoud Jarrahi, Armin Iran Univ Sci & Technol Sch Civil Engn Tehran 16846 Iran

Although having too many details can complicate the planning process, this study involves the formulating of an executive model having a broad range of parameters aimed at network-level pavement maintenance and rehabilitation planning. Four decomposed indicators are used to evaluate the pavement conditions and eight maintenance and rehabilitation categories are defined using these pavement quality indicators. As such, some restrictions called "technical constraints" are defined to reduce complexity of solving procedure. Using the condition indicators in the form of normalized values and developing technical constraints in a linear integer programming model has improved network level pavement M&R planning. The effectiveness of the developed model was compared by testing it under with-and-without technical constraints conditions over a 3-year planning period in a 10-section road network. It was found that using technical constraints reduced the runtime in resolving the problem by 91%, changed the work plan by 13%, and resulted in a cost increase of 1.2%. Solving runtime reduction issues can be worthwhile in huge networks or long-term planning durations.

关键词： Optimization M&R network level planning pavement management linear integer programming

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QFD-based modular product design with linear integer programming - a case study

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JOURNAL OF ENGINEERING DESIGN 2004年第3期15卷 261-284页

作者： Kreng, VB Lee, TP Natl Cheng Kung Univ Sch Ind Management Tainan 70101 Taiwan So Taiwan Univ Technol Dept Business Adm Yung Kang Tainan County Taiwan

Modular product design is an engineering methodology that considers both physical and functional relationships among components within product life cycle. In this study, fourteen modular drivers based on available literature are proposed. In addition, Quality Function Deployment (QFD) is deployed to accomplish modular product design with two major phases. Phase one is the exploration of design requirements, which combines customer needs, company development strategies, and designers' preference to select proper modular drivers through competitive analysis. In phase two, modular product analysis and linear integer programming are used to establish final configuration. Furthermore, the process and application is illustrated by a real case of electrical consumer product provided by an Original Design Manufacture (ODM) based manufacturer. The result demonstrated that designer can direct a new approach to establish product modules from the relative importance of those chosen modular drivers.

关键词： Quality Function Deployment modular product design linear integer programming modular driver

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Fitting boxes to Manhattan scenes using linear integer programming

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International Journal of Digital Earth 2016年第8期9卷 806-817页

作者： Minglei Li Liangliang Nan Shaochuang Liu Integrated Spatial Information Lab Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingPeople’s Republic of China Visual Computing Center King Abdullah University of Science and TechnologyThuwalSaudi Arabia

We propose an approach for automatic generation of building models by assembling a set of boxes using a Manhattan-world *** method first aligns the point cloud with a per-building local coordinate system,and then fits axis-aligned planes to the point cloud through an iterative regularization *** refined planes partition the space of the data into a series of compact cubic cells(candidate boxes)spanning the entire 3D space of the input *** then choose to approximate the target building by the assembly of a subset of these candidate boxes using a binary linear programming *** objective function is designed to maximize the point cloud coverage and the compactness of the final ***,all selected boxes are merged into a lightweight polygonal mesh model,which is suitable for interactive visualization of large scale urban *** results and a comparison with state-of-the-art methods demonstrate the effectiveness of the proposed framework.

关键词： Urban building models aerial point cloud Manhattan scenes linear integer programming

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Fault section location for distribution network based on linear integer programming

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INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE 2023年第2期54卷 391-404页

作者： Yu, Haocheng Wu, Zhengtian Jiang, Baoping Karimi, Hamid Reza Suzhou Univ Sci & Technol Sch Elect & Informat Engn Suzhou 215009 Peoples R China Politecn Milan Dept Mech Engn I-20156 Milan Italy

In the power society, the fault location of the distribution network has always been the focus of scholars. When a fault occurs, it needs to be located quickly and accurately to avoid more significant losses. Due to the wide application of distributed generation in the distribution network, many traditional methods are no longer applicable. Thus, a fast and high fault tolerance method is urgently needed to solve the complex fault location problem of the distribution network. According to the logical and algebraic relationship of fault location, a linear integer programming model for fault section location of the distribution network is established. This paper adopts a new method for solving integer programming, called the fixed-point iterative method. This method has unique advantages in dealing with such large-scale problems and is easily realised through distributed computing, thereby saving time. Finally, through MATLAB experimental simulation, results show that the integer programming method can quickly locate the fault and has high fault tolerance.

关键词： Distribution network distributed generation fault section location linear integer programming fixed-point iterative method

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Fault Detection and Isolation Problem: Sliding Mode Fuzzy Observers and linear integer programming.

Fault Detection and Isolation Problem: Sliding Mode Fuzzy Ob...

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5th Electronics, Robotics and Automotive Mechanics Conference

作者： Anzurez-Marin, Juan Toledo, Bernardino Castillo Espinosa-Juarez, Elisa Univ Michoacana Fac Elect Engn Morelia 58060 Michoacan Mexico CINVESTAV IPN Unidad Guadalajara Dept Automat Control Guadalajara 44450 Jalisco Mexico

ISBN: (纸本)9780769533209

In this paper, we present some results obtained from the application of a class of sliding mode observers to the model-based fault diagnosis problem in non-linear dynamic systems. A Takagi-Sugeno fuzzy model is used to describe the system and then sliding mode observers are designed to estimate the system state vector, from this the diagnostic signal-residual, is generated by the comparison of measured and estimated output. The linear integer programming technique is proposed to solve the fault isolation problem based in signal-residual. ne proposed technique allows determinating the faulted component corresponding to the active signal-residual. This paper shows an application of the fault diagnosis technique which was tested satisfactorily in a two-tank hydraulic system.

关键词： Fault diagnosis Takagi-Sugeno fuzzy models Sliding mode observers linear integer programming

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Optimal Control with linear integer programming for Reducing the Energy Consumption of Interdependent Mixing Machines in Foundry 22

Optimal Control with Linear Integer Programming for Reducing...

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22nd IEEE International Conference on Industrial Technology (ICIT)

作者： Rose, Alexander Schild, Axel Luck, Bennet Grotjahn, Martin Hannover Univ Appl Sci & Arts IKME Adv Control Hannover Germany IAV GmbH Automat Solut Energy Sect Gifhorn Germany

ISBN: (纸本)9781728157306

This paper presents a novel approach for modelling the energy consumption of the coupled parallel moulding sand mixers of a foundry as an optimal control problem. The minimization of energy consumption is optimized by scheduling the mixing processes in a linear integer programming scheme. The sand flow through the foundry's sand preparation is characterized by a physical model. This model considers the sand demand of the moulding machine as disturbance, the stored sand masses in the mixer hoppers and machine hoppers, respectively. The novel approach of handling dwell-times for dosing, mixing and transport processes using dead-time systems and constraint pushing allows the application of a linear model. The formulation of the optimal control problem aims at real-time application as model predictive control at the production plant. Initial application results indicate an improvement in energy consumption of approximately 8 %.

关键词： model predictive control linear integer programming scheduling dwell-time constraint pushing soft constraint batch-wise parallel process foundry

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