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IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

作者： Mostafa, N. A. Eltawil, A. B. Egypt Japan Univ Sci & Technol Dept Ind Engn & Syst Management Alexandria Egypt

ISBN: (纸本)9781467380669

In this paper, an under development mixed-integer programming model is presented and used to solve the Production-Inventory-Distribution-Routing Problem (PIDRP), the main objective is to minimize the total cost of production, inventory, and transportation without violating the demand fulfillment policy. The proposed model deals with multiple products with different characteristics, split deliveries, a heterogeneous fleet of vehicles, and a route limitation for each vehicle. The main contribution of this work is the validation of the mathematical model and testing it for solving small-sized instances from literature.

关键词： lot sizing inventory distribution vehicle routing mixed-integer programming

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Extending the Applicability of the mixed-integer programming Technique in Automatic Differential Cryptanalysis 18th

Extending the Applicability of the Mixed-Integer Programming...

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18th International Conference on Information Security (ISC)

作者： Sun, Siwei Hu, Lei Wang, Meiqin Yang, Qianqian Qiao, Kexin Ma, Xiaoshuang Song, Ling Shan, Jinyong Chinese Acad Sci Inst Informat Engn State Key Lab Informat Secur Beijing 100093 Peoples R China Chinese Acad Sci Data Assurance & Commun Secur Res Ctr Beijing 100093 Peoples R China Shandong Univ Minist Educ Key Lab Cryptol Technol & Informat Secur Jinan 250100 Peoples R China

ISBN: (纸本)9783319233185;9783319233178

We focus on extending the applicability of the mixed-integer programming (MIP) based method in differential cryptanalysis such that more work can be done automatically. Firstly, we show how to use the MIP-based technique to obtain almost all high probability 2-round iterative related-key differential characteristics of PRIDE (a block cipher proposed in CRYPTO 2014) automatically by treating the g(i)((j)) (.) function with a special kind of modulo addition operations in the key schedule algorithm of PRIDE as an 8 x 8 S-box and partially modelling its differential behavior with linear inequalities. Note that some of the characteristics presented in this paper has not been found before, and all the characteristics we found can be used to attack the full-round PRIDE in the related-key model. Secondly, we show how to construct MIP models whose feasible regions are exactly the sets of all possible differential characteristics of SIMON (a family of lightweight block ciphers designed by the U. S. National Security Agency). With this method, there is no need to filter out invalid characteristics due to the dependent inputs of the AND operations. Finally, we present an MIP-based method which can be used to automatically analyze how the differences at the beginning and end of a differential distinguisher propagate upwards and downward. Note that how the differences at the ends of a differential distinguisher propagate, together with the probability of the differential distinguisher, determine how many outer rounds can be added to the distinguisher, which key bits can be recovered without exhaustive search, and how to identify wrong pairs in the filtering process. We think this work serves to further strengthens the position of the MIP as a promising tool in automatic differential cryptanalysis.

关键词： Automatic cryptanalysis Related-key differential attack mixed-integer programming PRIDE

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A superstructure-based mixed-integer programming approach to optimal design of pipeline network for large-scale CO2 transport

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AICHE JOURNAL 2014年第7期60卷 2442-2461页

作者： Zhou, Chengchuan Liu, Pei Li, Zheng Tsinghua Univ Dept Thermal Engn State Key Lab Power Syst Beijing 100084 Peoples R China Duke Univ Nicholas Sch Environm Durham NC 27708 USA

Pipeline transport is the major means for large-scale and long-distance CO2 transport in a CO2 capture and sequestration (CCS) project. But optimal design of the pipeline network remains a challenging problem, especially when considering allocation of intermediate sites, like pump stations, and selection of pipeline routes. A superstructure-based mixed-integer programming approach for optimal design of the pipeline network, targeting on minimizing the overall cost in a CCS project is presented. A decomposition algorithm to solve the computational difficulty caused by the large size and nonlinear nature of a real-life design problem is also presented. To illustrate the capability of our models. A real-life case study in North China, with 45 emissions sources and four storage sinks, is provided. The result shows that our model and decomposition algorithm is a practical and cost-effective method for pipeline networks design. (c) 2014 American Institute of Chemical Engineers

关键词： CO2 capture and sequestration CO2 transport optimization pipeline network mixed-integer programming superstructure

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Planning method of droplet fusion scheduling based on mixedinteger programming

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Science China(Technological Sciences) 2024年第1期67卷 157-171页

作者： XIONG JiaCong CHEN JianKui WANG YiXin YIN ZhouPing LI YiQun State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

The emergence of new display devices,such as organic light-emitting diodes,has brought about numerous advantages,including high material utilization,low cost,and high *** devices are manufactured using inkjet printing and possess the potential to become a key technology for display ***,a challenge in achieving this is the display effect that reveals uneven brightness and darkness,which can be avoided by controlling the volume of ink solution in a pixel to within 5%.Currently,the volume difference among the nozzles of commercial printheads does not meet the requirements for volume uniformity,thus challenging the printing ***,designing a suitable printing method that allows for the fusion of different volumes of ink droplets,ultimately reducing the error of the post fusion process,is *** this study,we propose a print display droplet fusion scheduling method comprising two main ***,we use a dichotomous trust domain algorithm to obtain a feasible range of printhead docking point spacings for different nozzle and pixel panel ***,we model the printing process as a droplet fusion scheduling model based on mixed integer programming,with the optimization objective of achieving intra pixel volume uniformity via ensuring the volume uniformity of ink droplets within all *** verified this method through numerical simulations and printing experiments using 394 pixels per inch(ppi)pixel panels and successfully reduced the volume uniformity error among pixels to within 5%.

关键词： printing display droplet fusion mixed-integer programming dichotomous trust domain

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A bi-objective mixed-integer non-linear programming model with Grasshopper Optimization Algorithm for military-based humanitarian supply chains

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Decision Analytics Journal 2024年 10卷

作者： Aghsami, Amir Sharififar, Simintaj Moghaddam, Nader Markazi Hazrati, Ebrahim Jolai, Fariborz School of Industrial and Systems Engineering College of Engineering University of Tehran P.O. Box 11155-4563 Tehran Iran School of Industrial Engineering K.N. Toosi University of Technology (KNTU) Tehran Iran Department of Health in Disasters and Emergencies School of Nursing AJA University of Medical Sciences Tehran Iran Critical Care Quality Improvement Research Center Shahid Modarres Hospital Shahid Beheshti University of Medical Sciences Tehran Iran Department of Health Management and Economics Faculty of Medicine AJA University of Medical Sciences Tehran Iran Trauma Research Center. Aja University of Medical Sciences Tehran Iran

Military systems have many components, such as garrisons, border guards, and industries with a large population that may be affected by disasters. Garrisons, hospitals, clinics, and other facilities in military systems are needed to reduce human casualties. However, these facilities may not have enough resources to handle the disruption. There is no mathematical model to manage disasters with military systems including garrisons and border guards as relief forces interacting with non-military medical centers. This study develops a model for coordinating humanitarian supply chains and logistics within the military system. The affected military sites (AMSs) are military hospitals, clinics, industries, airports, military organizational settlements, garrisons, and border guards. A bi-objective mixed integer non-linear programming model is developed to minimize total costs during pre- and post-disaster planning, a weighted average of injury time in military vehicles, and total delay in relief items (RIs) distribution and rescue operations. For small and medium test problems, GAMS software is used, and for large test problems, the Grasshopper Optimization Algorithm (GOA) is proposed. We conducted some numerical examples to demonstrate the proposed model's efficiency and feasibility and evaluate the metaheuristic. Sensitivity analyses are conducted to evaluate model behavior under various conditions. © 2024 The Authors

关键词： Bi-objective model Disaster management Grasshopper optimization Humanitarian supply chain Military logistics system mixed-integer programming

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Decoupling Network Optimization in High Speed Systems by mixed-integer programming

Decoupling Network Optimization in High Speed Systems by Mix...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Tripathi, Jai Narayan Mahajan, Ashutosh Mukherjee, Jayanta Nagpal, Raj Kumar Malik, Rakesh Gupta, Nitin Indian Inst Technol Dept Elect Engn Bombay Maharashtra India Indian Inst Technol Ind Engn Operat Res Bombay Maharashtra India STMicroelect Pvt Ltd TR&D Greater Noida India

ISBN: (纸本)9781479934324

Power Integrity is maintained in a high speed system by designing an efficient decoupling network. This paper provides a generic formulation for decoupling capacitor selection and placement problem which is solved by mixed-integer programming. A real-world example is presented for the same. The minimum number of capacitors that could achieve the target impedance over the desired frequency range are found along with their optimal locations. In order to solve an industrial problem, the s-parameters data of power plane geometry and capacitors are used for the accurate analysis including bulk capacitors and VRM.

关键词： Power Integrity Power Delivery Networks Decoupling Capacitors S-parameters mixed-integer programming

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integer programming models versus advanced planning business software for a multi-level mixed-model assembly line problem

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CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH 2020年第3期28卷 1141-1177页

作者： Kreiter, Tobias Pferschy, Ulrich Karl Franzens Univ Graz Dept Stat & Operat Res Univ Str 15 A-8010 Graz Austria

Many manufactures are shifting from classical production environments with large batch sizes towards mixed-model assembly lines due to increasing product variations and highly individual customer requests. However, an assembly line should still be run with constant speed and cycle time. Clearly, the consecutive production of different models will cause a highly unbalanced temporal distribution of workload. This can be avoided by moving some assembly steps to pre-levels thus smoothing out the utilization of the main line. In the resulting multi-level assembly line the sequencing decision on the main line has to take into account the balancing of workload for all pre-levels. Otherwise, the modules or parts delivered from the pre-levels would cause congestion of the main line. One planning strategy aims at mixing the models on the main line to avoid blocks of identical units. In this contribution we compare two different realizations for this approach. On one hand we present a mixed-integer programming model (MIP), strengthen it by adding valid inequalities and enrich it with a number of relevant practical extensions. Also the actual objective of explicitly balancing pre-level workloads is considered. On the other hand, we illustrate how this strategy could be realized in an advanced planning system linked to an enterprise resource planning system, namely SAP APO. Finally, we perform a computational study to investigate the possibilities and limitations of MIP models and the realization in SAP APO. The experiments rely on a real-world production planning problem of a company producing engines and gearboxes.

关键词： Multi-level production system Load balancing Model-mix planning mixed-integer programming SAP APO

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mixed-integer programming optimization-Based Method for Switch device Placement in Distribution Systems Considering Distributed Generation

Mixed-integer Programming optimization-Based Method for Swit...

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Australasian Universities Power Engineering Conference (AUPEC)

作者： Heidari, Alireza Agelidis, Vassilios G. Kia, Mohsen Setayeshnazar, Mehrdad Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia Univ Shahid Behesti Coll Engn Abbaspour Tehran Iran

ISBN: (纸本)9781862959132

This paper presents a mathematical optimization methodology to placement of switches in power distribution systems. The primary objective is to minimize the total cost of reliability with consideration of achieving high-distribution reliability levels. mixed-integer linear programming (MILP) is adopted to determine (i) the number of sectionalizing switches and (ii) the locations of the switches. The introduction of DGs based on island operation mode is also considered is this paper. The effectiveness of the proposed methodology is examined on a reliability test system. The presented results indicate that the proposed methodology is provided a global optimum solution for the switch placement problem while the reliability, capital investment and annual operation and maintenance costs are considered.

关键词： Reliability Analysis Distribution System Distributed Generation mixed-integer programming optimization Switch Placement

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A multi-parametric optimization approach for bilevel mixed-integer linear and quadratic programming problems

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COMPUTERS & CHEMICAL ENGINEERING 2019年 125卷 98-113页

作者： Avraamidou, Styliani Pistikopoulos, Efstratios N. Texas A&M Univ Artie McFerrin Dept Chem Engn College Stn TX 77843 USA Texas A&M Univ Texas A&M Energy Inst College Stn TX USA

Optimization problems involving two decision makers at two different decision levels are referred to as bi-level programming problems. In this work, we present novel algorithms for the exact and global solution of two classes of bi-level programming problems, namely (i) bi-level mixed-integer linear programming problems (B-MILP) and (ii) bi-level mixed-integer convex quadratic programming problems (B-MIQP) containing both integer and bounded continuous variables at both optimization levels. Based on multi-parametric programming theory, the main idea is to recast the lower level problem as a multiparametric programming problem, in which the optimization variables of the upper level problem are considered as bounded parameters for the lower level. The resulting exact multi-parametric mixed-integer linear or quadratic solutions are then substituted into the upper level problem, which can be solved as a set of single-level, independent, deterministic mixed-integer optimization problems. Extensions to problems including right-hand-side uncertainty on both lower and upper levels are also discussed. Finally, computational implementation and studies are presented through test problems. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Bilevel programming Multi parametric programming mixed-integer programming

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Decoupling Network Optimization in High Speed Systems by mixed-integer programming

Decoupling Network Optimization in High Speed Systems by Mix...

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IEEE International Symposium on Circuits and Systems

作者： Jai Narayan Tripathi Ashutosh Mahajan Jayanta Mukherjee Raj Kumar Nagpal Rakesh Malik Nitin Gupta Department of Electrical Engineering IIT Bombay Mumbai INDIA Industrial Engineering & Operations Research IIT Bombay Mumbai INDIA TR&D STMicroelectronics Pvt. Ltd. Greater Noida India

ISBN: (纸本)9781479934331

关键词： Power Integrity Power Delivery Networks Decoupling Capacitors S-parameters mixed-integer programming

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