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Pesquisa Operacional最新文献

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PORTFOLIO IMPACT INVESTMENT MANAGEMENT USING MULTI-OBJECTIVE OPTIMIZATION 组合影响投资管理的多目标优化
Q4 Decision Sciences Pub Date : 2021-01-01 DOI: 10.1590/0101-7438.2021.041.00245832
F. Amaral, Ivan Ricardo Gartner
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引用次数: 0
LEVEL OF REPAIR ANALYSIS INCLUDING FAILURE ANALYSIS AND OPTIMAL LOCATION OF MAINTENANCE FACILITIES AND RESOURCES 维修分析水平,包括故障分析和维修设施和资源的最佳位置
Q4 Decision Sciences Pub Date : 2021-01-01 DOI: 10.1590/0101-7438.2021.041.00238051
E. Brick, A. Pessoa, Karina Thiebaut Sacramento
{"title":"LEVEL OF REPAIR ANALYSIS INCLUDING FAILURE ANALYSIS AND OPTIMAL LOCATION OF MAINTENANCE FACILITIES AND RESOURCES","authors":"E. Brick, A. Pessoa, Karina Thiebaut Sacramento","doi":"10.1590/0101-7438.2021.041.00238051","DOIUrl":"https://doi.org/10.1590/0101-7438.2021.041.00238051","url":null,"abstract":"","PeriodicalId":35341,"journal":{"name":"Pesquisa Operacional","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67467757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MULTI-CRITERIA DECISION SUPPORT TO CRIMINOLOGY BY GRAPH THEORY AND COMPOSITION OF PROBABILISTIC PREFERENCES 基于图论和概率偏好组合的犯罪学多准则决策支持
Q4 Decision Sciences Pub Date : 2021-01-01 DOI: 10.1590/0101-7438.2021.041.00249751
L. Gavião, A. P. Sant’Anna, P. Garcia, Lucio Camara e Silva, S. Kostin, G. B. A. Lima
{"title":"MULTI-CRITERIA DECISION SUPPORT TO CRIMINOLOGY BY GRAPH THEORY AND COMPOSITION OF PROBABILISTIC PREFERENCES","authors":"L. Gavião, A. P. Sant’Anna, P. Garcia, Lucio Camara e Silva, S. Kostin, G. B. A. Lima","doi":"10.1590/0101-7438.2021.041.00249751","DOIUrl":"https://doi.org/10.1590/0101-7438.2021.041.00249751","url":null,"abstract":"","PeriodicalId":35341,"journal":{"name":"Pesquisa Operacional","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67468273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
LOT SIZING AND CUTTING STOCK PROBLEMS IN A PAPER PRODUCTION PROCESS 纸张生产过程中的批量和裁切问题
Q4 Decision Sciences Pub Date : 2021-01-01 DOI: 10.1590/0101-7438.2021.041S1.00235094
Livia Maria Pierini, K. C. Poldi
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引用次数: 5
SPECIAL ISSUE ON RECENT ADVANCES IN LOT SIZING 关于批量化的最新进展的特刊
Q4 Decision Sciences Pub Date : 2021-01-01 DOI: 10.1590/0101-7438.2021.041S1.0041S101
K. Akartunalı, M. Santos, R. Jans, S. Araujo
Production planning aims to efficiently plan the production activities as well as the acquisition of the raw materials and resources required to transform raw materials into finished products, in order to meet customer demand in the most economical way possible. The decisions to be made include, but are not limited to, production lot sizes, setup decisions, work force levels and sequencing of production runs, while the ultimate aim is to determine the optimal timing and level of production.
生产计划的目的是有效地计划生产活动以及原材料的获取和将原材料转化为成品所需的资源,以便以最经济的方式满足客户的需求。要做出的决策包括但不限于生产批量、设置决策、劳动力水平和生产运行的顺序,而最终目标是确定最佳生产时间和生产水平。
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引用次数: 1
INTEGRATED LOTSIZING, SCHEDULING AND BLENDING DECISIONS IN THE SPINNING INDUSTRY 在纺纱行业中集成批量、调度和混纺决策
Q4 Decision Sciences Pub Date : 2021-01-01 DOI: 10.1590/0101-7438.2021.041S1.00233486
V. Camargo, Bernardo Almada-Lobo, F. Toledo
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引用次数: 0
MATHEMATICAL MODELING OF TOW TRUCKS LOCATION CONSIDERING TRAFFIC CONGESTION QUEUE 考虑交通拥堵队列的拖车定位数学模型
Q4 Decision Sciences Pub Date : 2021-01-01 DOI: 10.1590/0101-7438.2021.041.00249119
M. Baltar, G. Ribeiro, Laura Bahhiense, P. Ribeiro
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引用次数: 0
GENERALIZED ADDITIVE MODEL FOR COUNT TIME SERIES: AN APPLICATION TO QUANTIFY THE IMPACT OF AIR POLLUTANTS ON HUMAN HEALTH 计数时间序列的广义加性模型:用于量化空气污染物对人体健康影响的应用
Q4 Decision Sciences Pub Date : 2021-01-01 DOI: 10.1590/0101-7438.2021.041.00241120
Ana Julia A. Camara, G. Franco, V. Reisen, P. Bondon
{"title":"GENERALIZED ADDITIVE MODEL FOR COUNT TIME SERIES: AN APPLICATION TO QUANTIFY THE IMPACT OF AIR POLLUTANTS ON HUMAN HEALTH","authors":"Ana Julia A. Camara, G. Franco, V. Reisen, P. Bondon","doi":"10.1590/0101-7438.2021.041.00241120","DOIUrl":"https://doi.org/10.1590/0101-7438.2021.041.00241120","url":null,"abstract":"","PeriodicalId":35341,"journal":{"name":"Pesquisa Operacional","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67468408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
STUDYING THE EFFECTS OF THE SKEWNESS OF INTER-ARRIVAL AND SERVICE TIMES ON THE PROBABILITY DISTRIBUTION OF WAITING TIMES 到达时间和服务时间的偏斜对等待时间概率分布的影响研究
Q4 Decision Sciences Pub Date : 2020-03-10 DOI: 10.1590/0101-7438.2020.040.00223190
Rodrigo Romero-Silva, S. Shaaban, Erika Marsillac, M. Hurtado-Hernández
Previous studies have shown that the mean queue length of a GI/G/1 system is significantly influenced by the skewness of inter-arrival times, but not by the skewness of service times. These results are limited because all the distributions considered in previous studies were positively skewed. To address this limitation, this paper investigates the effects of the skewness of inter-arrival and service times on the probability distribution of waiting times, when a negatively skewed distribution is used to model inter-arrival and service times. Subsequent to a series of experiments on a GI/G/1 queue using discrete-event simulation, results have shown that the lowest mean waiting time and the lowest variance of waiting times can be attained with a combination of positive inter-arrival skewness and negative service skewness. Results also show an interesting effect of the skewness of service times in the probability of no-delay in environments with a higher utilization factor.
先前的研究表明,GI/G/1系统的平均队列长度受到到达间时间的偏斜的显著影响,但不受服务时间的偏斜影响。这些结果是有限的,因为在以前的研究中考虑的所有分布都是正偏的。为了解决这一限制,本文研究了当使用负偏斜分布对到达间和服务时间进行建模时,到达间和到达服务时间的偏斜对等待时间概率分布的影响。在使用离散事件模拟对GI/G/1队列进行一系列实验之后,结果表明,通过正到达间偏斜和负服务偏斜的组合,可以获得最低的平均等待时间和最低的等待时间方差。结果还显示,在利用率较高的环境中,服务时间的偏斜对无延迟的概率产生了有趣的影响。
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引用次数: 0
A CONSTRUCTIVE GLOBAL CONVERGENCE OF THE MIXED BARRIER-PENALTY METHOD FOR MATHEMATICAL OPTIMIZATION PROBLEMS 数学优化问题的混合障碍-惩罚方法的构造全局收敛性
Q4 Decision Sciences Pub Date : 2020-01-01 DOI: 10.1590/0101-7438.2020.040.00217467
Porfirio Suñagua, A. Oliveira
. In this paper we develop a generic mixed bi-parametric barrier-penalty method based upon barrier and penalty generic algorithms for constrained nonlinear programming problems. When the feasible set is defined by equality and inequality functional constraints, it is possible to provide an explicit barrier and penalty functions. If such case, the continuity and differentiable properties of the restrictions and objective functions could be inherited to the penalized function. The main contribution of this work is a constructive proof for the global convergence of the sequence generated by the proposed mixed method. The proof uses separately the main results of global convergence of barrier and penalty methods. Finally, for some simple nonlinear problem, we deduce explicitly the mixed barrier–penalty function and illustrate all functions defined in this work. Also we implement MATLAB code for generate iterative points for the mixed method.
。本文在barrier和penalty泛型算法的基础上,提出了一种求解约束非线性规划问题的泛型混合双参数barrier-penalty方法。当可行集由等式和不等式函数约束定义时,可以提供显式的障碍函数和惩罚函数。在这种情况下,约束函数和目标函数的连续性和可微性可以继承到惩罚函数上。本工作的主要贡献是建设性地证明了所提出的混合方法生成的序列具有全局收敛性。证明分别使用了障碍法和惩罚法全局收敛的主要结果。最后,对于一些简单的非线性问题,我们明确地推导了混合障碍-惩罚函数,并举例说明了本文所定义的所有函数。并实现了混合法迭代点生成的MATLAB代码。
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引用次数: 1
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Pesquisa Operacional
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