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REVERSE LOGISTICS BASED ON GREEN OPEN VEHICLE ROUTING FOR WASTE COLLECTION IN THE URBAN CONTEXT 城市环境下基于绿色开放式车辆路径的垃圾收集逆向物流
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1590/0101-7438.2023.043.00269174
Jose Rodriguez-Melquiades, Lourdes Ramirez Cerna
Research related to vehicle routing and its applications reveals the interest in supporting the authorities in solving society’s problems. In this way, a bi-objective model of mixed integer linear programming and metaheuristics based on genetic algorithm and local search, applied to reverse logistics by green open vehicle routing, is presented. The process consists of collecting solid urban waste at collection points, contributing to urban sustainability through the route plan determined by the proposal, optimizing distances and costs as well; it also measures the fuel consumption of the vehicles from their departure from the depot to the last collection point, as well as the CO2 emissions during routing. The proposals, implemented in GLPK and Python, obtain results in various scenarios. The model generates solutions quickly in scenarios between 5 and 25 collection points. For larger scenarios it does not find solutions within the time limit of 7200 seconds. The metaheuristics have greater potential as for 31 collection points, the processing time was 2.3 seconds which is a good indication for larger scenarios. Three Sectors of Trujillo city are tested to evaluate our proposal.
与车辆路线及其应用相关的研究揭示了支持当局解决社会问题的兴趣。在此基础上,提出了一种基于遗传算法和局部搜索的混合整数线性规划和元启发式的双目标模型,并将其应用于绿色开放式车辆路径逆向物流问题。该过程包括在收集点收集城市固体废物,通过提案确定的路线计划促进城市的可持续性,优化距离和成本;它还会测量车辆从出库到最后一个收集点的油耗,以及行驶过程中的二氧化碳排放量。这些建议在GLPK和Python中实现,可以在各种场景中获得结果。该模型在5到25个收集点之间的场景中快速生成解决方案。对于更大的场景,它不能在7200秒的时间限制内找到解决方案。元启发式具有更大的潜力,因为对于31个收集点,处理时间为2.3秒,这对于更大的场景来说是一个很好的指示。我们对特鲁希略市的三个区域进行了测试,以评估我们的提议。
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引用次数: 0
TWO-DIMENSIONAL REPRESENTATION FOR TWO-STAGE NETWORK DEA MODELS 两阶段网络dea模型的二维表示
Q4 Decision Sciences Pub Date : 2022-01-01 DOI: 10.1590/0101-7438.2022.042.00258055
B. Torres, Juliana de Castro Reis, J. C. S. D. Mello
. We propose two-dimensional representations for the efficient frontier for two different Network DEA (NDEA) models. Both representations follow a previous study that developed a generalization of the two-dimensional representation method for the classic DEA using a new form of linearization. The graphical representation of the efficient frontier allows managers and decision-makers unfamiliar with linear programming and DEA to understand the results obtained simply and clearly. In this study, we can obtain graphs that provide information about the efficiencies of each DMU. Furthermore, for the NDEA with an efficiency decomposition approach, it is possible to obtain a graph to evaluate the technical efficiency for each stage, as well as for the overall efficiency. The NDEA model based on efficiency composition only produces one graph. However, this unique representation shows the stage-level and the overall process level information within the same graph.
. 我们提出了两种不同网络DEA (NDEA)模型的有效边界的二维表示。这两种表示都遵循先前的研究,该研究使用一种新的线性化形式,对经典DEA的二维表示方法进行了推广。有效边界的图形化表示使不熟悉线性规划和DEA的管理者和决策者能够简单明了地理解所得到的结果。在本研究中,我们可以获得提供每个DMU效率信息的图表。此外,对于采用效率分解方法的NDEA,可以获得一个图来评估每个阶段的技术效率,以及总体效率。基于效率构成的NDEA模型只产生一张图。然而,这种独特的表示在同一个图中显示了阶段级和整个过程级信息。
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引用次数: 0
ROBUST SOLUTION IDENTIFICATION FOR UNCERTAINTY MANAGEMENT IN MOLP - AN INTERACTIVE APPROACH molp中不确定性管理的鲁棒解辨识——一种交互式方法
Q4 Decision Sciences Pub Date : 2022-01-01 DOI: 10.1590/0101-7438.2022.042.00247885
Solange Fortuna Lucas, J. Neves, Gisele Campos Neves
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引用次数: 0
RANKING OF A SET OF ACCOUNTS RECEIVABLE STRATEGIES IN A MEXICAN REGIONAL COMPANY BASED ON A MULTICRITERIA APPROACH 基于多标准方法对墨西哥地区公司的一套应收账款策略进行排名
Q4 Decision Sciences Pub Date : 2022-01-01 DOI: 10.1590/0101-7438.2022.042.00246977
Carlos Andrés Oñate Ochoa, Daniel Verdugo Insua, J. C. Leyva López, Jesús Jaime Solano Noriega
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引用次数: 3
A MATHEMATICAL OPTIMIZATION APPROACH BASED ON LINEARIZED MIP MODELS FOR SOLVING FACILITY LAYOUT PROBLEMS 基于线性化mip模型的设施布局问题的数学优化方法
Q4 Decision Sciences Pub Date : 2022-01-01 DOI: 10.1590/0101-7438.2022.042.00261044
Evelyn Michelle Henrique Braga, Luiz Leduíno de Salles Neto
. One of the strategies used to optimize production processes is to define the best layout. For this, the relative positioning of the various equipment, areas, or functional activities inside the company is studied. Proper arrangement of facilities will result in shorter process times and higher productivity. In general, the objective function of the facility layout problem (FLP) is to reduce the total material handling cost. Although over six decades have been passed since the first work on FLP modeling was published, research on many aspects of this problem is still in an early stage and needs to be further explored, which motivated this study. In this paper, the unequal area of rectangular blocks with fixed dimensions and input/output points are considered for FLPs. Four new mixed-integer programming (MIP) models based on previous research formulations are developed. Then, a mathematical optimization approach based on the linearization of the models is applied. An algorithm that solves the linearized MIP model by CPLEX setting a time limit for the solution obtained excellent results for different test problems when compared to those reported in the literature.
。用于优化生产过程的策略之一是确定最佳布局。为此,研究了公司内部各种设备,区域或功能活动的相对定位。合理安排设备,可以缩短加工时间,提高生产效率。一般来说,设施布局问题(FLP)的目标函数是降低总物料搬运成本。尽管自FLP建模第一篇论文发表以来,已经过去了60多年,但对该问题的许多方面的研究仍处于早期阶段,需要进一步探索,这也是本研究的动力。本文考虑了具有固定尺寸和输入/输出点的矩形块的不等面积问题。在前人研究公式的基础上,提出了四种新的混合整数规划模型。然后,采用基于模型线性化的数学优化方法。与文献报道的算法相比,采用CPLEX设置求解时限的方法求解线性化MIP模型的算法在不同的测试问题上都取得了较好的结果。
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引用次数: 0
A DIAGNOSTICS AND PROGNOSTICS FRAMEWORK FOR MULTI-COMPONENT SYSTEMS WITH WEAR INTERACTIONS: APPLICATION TO A GEARBOX-PLATFORM 具有磨损相互作用的多部件系统的诊断和预测框架:在齿轮箱平台上的应用
Q4 Decision Sciences Pub Date : 2022-01-01 DOI: 10.1590/0101-7438.2022.042nspe1.00264770
Roy Assaf, P. Do, Phillip Scarf
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引用次数: 0
A MATHEMATICAL MODEL AND SOLUTION METHOD FOR THE BERTH ALLOCATION PROBLEM WITH VARIABLE HANDLING TIME AND CONTINUOUS TIME HORIZON 研究了具有变装卸时间和连续时间范围的泊位分配问题的数学模型和求解方法
Q4 Decision Sciences Pub Date : 2022-01-01 DOI: 10.1590/0101-7438.2022.042.00261709
Bruno Luís Hönigmann Cereser, A. Oliveira, A. Moretti
. In this paper, we present the integration of two problems related to the operations in a port terminal: the Berth Allocation Problem (BAP) integrated with the Machine Assignment Problem. We present a mixed-integer linear programming (MILP) formulation, capable of assigning and scheduling incoming vessels to berthing positions and the assignment of machines for handling the vessels. The machines can be quay cranes, mobile cranes, straddle carriers, forklifts, trucks, and any other machine. The problem aims to minimize the waiting time plus the handling time of the vessels. To solve the problem, we developed a heuristic algorithm, capable of solving a problem instance in seconds. To compare the results, we generate several instance problems based on real data and solve them with our MILP formulation implemented in a solver, our heuristic, and a First In First Out (FIFO) algorithm. The solver was able to find solutions only in small-scale instances, and the heuristic was able to find good solutions for all instances.
。本文提出了与港口码头作业相关的两个问题的集成:泊位分配问题(BAP)与机器分配问题的集成。我们提出了一个混合整数线性规划(MILP)公式,能够分配和调度进港船舶的停泊位置和分配处理船舶的机器。机器可以是码头起重机,移动起重机,跨运车,叉车,卡车和任何其他机器。该问题的目标是最小化船舶的等待时间和处理时间。为了解决这个问题,我们开发了一种启发式算法,能够在几秒钟内解决一个问题实例。为了比较结果,我们基于实际数据生成了几个实例问题,并使用求解器、启发式算法和先进先出(FIFO)算法实现的MILP公式来解决这些问题。求解器只能在小范围的实例中找到解,而启发式算法能够为所有实例找到好的解。
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引用次数: 0
ENDOGENEITY IN STOCHASTIC PRODUCTION FRONTIER WITH ONE AND TWO-STEP MODELS: AN APPLICATION WITH MUNICIPAL DATA FROM THE BRAZILIAN AGRICULTURAL CENSUS 内生性随机生产前沿与一步和两步模型:与巴西农业普查市政数据的应用
Q4 Decision Sciences Pub Date : 2022-01-01 DOI: 10.1590/0101-7438.2022.042.00243504
K. L. P. Oliveira, B. B. Andrade, Geraldo da Silva e Souza, B. S. Castro
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引用次数: 0
AGE-BASED REPLACEMENT WITH IMPERFECT REPAIR AND RISK AS LOW AS REASONABLY PRACTICABLE 以年龄为基础的不完善修复和风险尽可能低的置换
Q4 Decision Sciences Pub Date : 2022-01-01 DOI: 10.1590/0101-7438.2022.042nspe1.00263588
Joyce Araújo, R. Lopes, P. Scarf
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引用次数: 0
SPECIAL ISSUE ON RELIABILITY, RISK AND MAINTENANCE 关于可靠性、风险和维护的特刊
Q4 Decision Sciences Pub Date : 2022-01-01 DOI: 10.1590/0101-7438.2022.042nspe1.00268218
C. Cavalcante, P. Scarf, P. Do, Shaomin Wu
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引用次数: 0
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