Artículos en Revistas

Permanent URI for this collectionhttp://48.217.138.120/handle/20.500.12272/538

Browse

Search Results

Now showing 1 - 10 of 93
  • Thumbnail Image
    Item
    Economical assessment of the benefits of the supply chain management : a forestry industry example
    (Industrial & Engineering Chemistry Research, 2022-08-24) Vanzetti , Nicolás; Corsano, Gabriela; Montagna, Jorge Marcelo
    Nowadays, companies collaborate in a supply chain (SC), achieving superior results. Nevertheless, these benefits are not usually equally distributed among SC members. However, previous approaches generally address the profits of the entire system as a performance measure. In this way, a counterpoint arises between the optimality of the overall results and the benefits perceived by each of the participants. In this work, the differences between the global results and the individual benefits of each of the SC members are assessed to weigh the true impact of the integrated operation of the SC. A mixed integer linear programming model is presented to evaluate the SC performance for the forest industry, considering the strongly integrated and competitive operations among its members. Through examples, differences between integration and individual concerns are assessed, and an approach based on goal programming is proposed to effectively manage them. Conclusions can be easily extended to other contexts
  • Thumbnail Image
    Item
    A mathematical modeling for simultaneous routing and scheduling of logging trucks in the forest supply chain
    (Forest Policy and Economics, 2022-01-12) Melchiori, Luciana; Nasini, Graciela; Montagna, Jorge Marcelo; Corsano, Gabriela
    Transportation cost in the forest industry highly impacts on the overall costs of the supply chain, and therefore it must be optimized for improving profitability. Considering the problem characteristics, the decisions related to the transport problem, such as allocation, routing, and scheduling, are usually decoupled, resorting to different decomposition strategies. As a result, suboptimal and underperforming solutions are obtained. In this article, decisions about raw material allocation, routing and scheduling are simultaneously solved through a mixed integer linear programming model. The proposed model involves an arc-based formulation for routing and a time grid discretization, including the definition of loading and unloading shifts for scheduling. This leads to detailed transportation planning for a homogeneous logging truck fleet that must fulfill the demand of varied raw material at minimum cost. Examples and performance tests are provided to assess the capabilities of the proposed exact approach.
  • Thumbnail Image
    Item
    Resources synchronization in a full truckload pickup and delivery problem : an exact approach
    (Computers and Operations Research, 2022-12-05) Melchiori , Luciana; Nasini, Graciela; Montagna, Jorge Marcelo; Corsano, Gabriela
    In this work, the Unpaired Full Truckload Pickup and Delivery Problem with Resource Synchronization is modeled and solved, where routes must be determined to transport commodities from pickup to delivery locations by a set of vehicles, subject to timing and resource synchronization constraints, to satisfy demands at minimum cost. Unlike previous works, the use of multiple resources for loading and unloading tasks at each location are considered and appropriately managed through a representation using discrete shifts. An integer linear programming model is proposed to simultaneously solve allocation, routing and resources synchronization optimization problems. In order to improve the model performance for large size instances, diverse reformulations, including additional inequalities and symmetric-breaking constraints, are implemented and tested. Moreover, a heuristic procedure is proposed to provide good initial feasible solutions. The capabilities of the proposed approach are assessed through several examples
  • Thumbnail Image
    Item
    Efficient mixed-integer linear programming model for integrated management of ready-mixed concrete production and distribution
    (Automation in Construction, 2025-02-14) Tibaldo, Aldana; Montagna, Jorge Marcelo; Fumero, Yanina
    The ready-mixed concrete industry plays a key role in the construction sector. Tight integration between different actors is required for developing a successful project. In this context, this paper presents a contribution to optimal daily planning of production and distribution operations in the concrete industry to meet the requirements of construction sites. Customized products must be produced and delivered satisfying the specific time windows proposed by customers. To solve this problem, traditional models often resort to approaches based on decomposition techniques or approximate methods, which may provide poor quality solutions that deviate significantly from optimal planning. In contrast, this article presents an integrated and exact approach to solve the problems of ready-mixed concrete batching, production and distribution, reaching the optimal global solution in good computational times. Several examples are solved to assess the capability and performance of the proposed formulation and its applicability to a real case in this industry.
  • Thumbnail Image
    Item
    MILP model for simultaneous batching, production and distribution operations in single-stage multiproduct batch plants
    (International Journal of Industrial Engineering Computations, 2025-04-08) Tibaldo, Aldana; Montagna, Jorge Marcelo; Fumero, Yanina
    Traditionally, the short-term production and distribution activities have been addressed with a decoupled and sequential methodology. Although this approach simplifies the problem, there are several environments where it generates inefficiencies or is simply not applicable. Consequently, the integration of both problems is very valuable in a variety of industrial applications, especially in industries where final products must be delivered to customers shortly after production. This paper presents a mixed-integer linear optimization model that simultaneously solves the production and distribution scheduling in a single-stage multi-product batch facility with multiple nonidentical units operating in parallel, where transportation operations are carried out with a heterogeneous fleet of vehicles. As operations are performed in a batch environment, the production and distribution problems also integrate decisions related to the number and size of batches required to meet the demand for multiple products. The capabilities of the proposed approach are illustrated through several cases of study. Finally, these examples are solved with a two-stage approach and the superiority of the solutions using the integrated approach is demonstrated.
  • Thumbnail Image
    Item
    A new integrated approach for solving batching, production scheduling and delivery problems in single-stage batch environments
    (Computers & Chemical Engineering, 2024-06-02) Tibaldo, Aldana; Montagna, Jorge Marcelo; Fumero, Yanina
    At operational level, production and distribution integration is very valuable in real-word applications, especially in industries where products must be delivered shortly after production, as in the case of perishable or customized products. Given that the involved decisions belong to different departments and considering their high combinatory, they are usually decoupled. Although this sequential approach simplifies decision making, it can lead to suboptimal solutions for the integrated problem. This paper presents a novel mixed-integer linear programming (MILP) model to simultaneously manage batching, production, and distribution decisions. An efficient strategy is proposed, where feasible routes that vehicles can travel are generated beforehand, which greatly simplify the formulation. Thus, infeasible routes are not considered (reduction of the search space) and several important decisions are made simultaneously when selecting a route (allocation and sequencing of the customers). The performance of this approach is superior to previous ones, especially in large problems.
  • Thumbnail Image
    Item
    Computational design of a massive solar-thermal collector enhanced with phase change materials
    (Energy and Buildings, 2022-11-01) Peralta, Ignacio; Fachinotti, Víctor D.; Koenders, Eduardus A. B.; Caggiano, Antonio
    A cement-based device that can meet, partially or completely, the heating loads of a building by absorbing the solar radiation and converting it into thermal energy can be defined as a Massive Solar-Thermal Collector. The absorbing material for the incoming radiation is made of a cementitious composite, generally concrete, and flowing water inside tubes acts as a heat transfer medium. For an optimized performance, during periods of solar radiation, the device has to efficiently conduct the heat flow from the absorbing surface of the collector and transfer this heat energy to the water. Then, when the radiation is reduced or became null, the device should retain as much as possible the heat energy, reducing the heat that is escaping the collector and consequently the losses to the surrounding environment. In this work, by performing a parametric analysis, different absorbing materials are tested with the objective of finding the best configuration that maximizes the energy efficiency of the collector. Cementitious materials, in combination with Phase Change Materials with distinct melting (and solidification) temperatures, are selected as candidate absorbing materials. The weather variables of an entire year and for two different locations are considered to evaluate the behavior of these devices in opposite climates. After numerical simulations, in where an enthalpy-based finite element formulation is used to solve the physical problem, the obtained results allow to conclude that the inclusion of Phase Change Materials within the absorber material of the collectors, if it is done in a correct way, can improve the energy performance of these devices. In this study, 34 ºC and 53 ºC are chosen as the most appropriated melting temperatures, which conduct to considerable improvements in the achieved performances, and in both warm and cold climates.
  • Thumbnail Image
    Item
    A regularized approach for derivative-based numerical solution of non-linearities in phase change static hysteresis modeling
    (International Communications in Heat and Mass Transfer, 2025-04) Dittler, Ramiro A.; Demarchi, María Cecilia; Álvarez-Hostos, Juan C.; Albanesi, Alejandro E.; Tourn, Benjamín A.
    Phase change materials (PCMs) represent a promising solution for thermal energy storage (TES) since they can store and release energy in the form of latent heat during solid↔liquid transitions. Nevertheless, accurately simulating the thermal behavior of PCMs remains challenging due to the non-linearities concerning latent heat effects and enthalpy hysteresis. This work introduces a stable and robust procedure based on the finite element method (FEM) under a mixed enthalpy–temperature formulation to address such non-linearities, which enables the numerical solutions using derivative-based algorithms such as the Newton–Raphson (NR) method. The static hysteresis model (SHM) is implemented in the FEM-based formulation via a regularization of the liquid fraction function in response to the sign of the temperature rate. This novel approach ensures a continuous and smooth heating↔cooling transition while retaining the SHM energy-conservative features to properly solve its non-linearities. The method is validated through a one-dimensional benchmark problem, demonstrating high performance and physical fidelity for both complete and partial phase changes. It achieves second-order convergence rates, ensures numerical stability even for large time steps, and maintains accuracy under diverse thermal boundary conditions. Finally, the method is extended to two-dimensional problems, highlighting its robustness and scalability for practical applications in TES systems.
  • No Thumbnail Available
    Item
    Enhancing the accuracy of thermal model calibration: Integrating zone air and surface temperatures, convection coefficients, and solar and thermal absorptivity
    (Energy and Buildings, 2025-06-01) Demarchi, María Cecilia; Gervaz Canessa, Sofía; Pena Vergara, Gabriel; Albanesi, Alejandro E.; Favre, Federico
    Building energy simulation models are indispensable tools for predicting thermal and energy performance and evaluating building energy efficiency. However, in the calibration and sensitivity analysis of these models, most studies focus on air temperatures or energy consumption, typically not taking into account critical parameters such as surface temperatures, convective heat transfer coefficients, and thermal and solar absorptivities. In this context, this work complements prior studies by incorporating these critical parameters, including convection coefficients and thermal and solar absorptivity, enhancing both the reliability and completeness of building simulation models. Using a monitoring period, air and surface temperature data were collected under free-floating conditions and supplemented with meteorological records from an on-site station. Optimization was performed using the root mean square error (RMSE) metric to minimize discrepancies between measured and simulated values of zone air and surface temperatures. The results demonstrate that the detailed calibration strategy, which considers convective coefficients and material absorptivities as design variables and minimizes errors in both air and surface temperature predictions, significantly enhances model accuracy. This approach reduces the RMSE of air temperature predictions by 60 % and the RMSE of surface temperature predictions by 73 % (walls), 79 % (inner roof), 42 % (outer roof), and 82 % (floor). Further analysis of heat gains and losses emphasizes the critical role of these parameters in the accuracy in the modeling of building-environment interactions. This detailed and robust approach ensures a more precise and reliable simulation model, highlighting the critical role of advanced calibration techniques in optimizing building energy performance simulations.
  • No Thumbnail Available
    Item
    A shot in the dark : the current state of PCM hysteresis modelling in building energy simulation software
    (2025-02-16) Zhilyaev, Dmitry; Albanesi, Alejandro E.; Demarchi, María Cecilia; Fachinotti, Víctor D.; Bakker, Hans L. M.; Jonkers, Henk M.
    Phase change materials (PCM) are receiving an ever-growing attention as a promising construction material for improving building energy performance through thermal storage and peak load shifting. The analysis of PCM performance and decision-making related to PCM implementation in building envelope often rely on building energy simulation software such as EnergyPlus – a de-facto standard in the academic world and the industry. For a precise modelling of the dynamic PCM behaviour it is essential to correctly account for PCM hysteresis. This work provides an in-depth analysis of four publicly available EnergyPlus-based hysteresis models and identifies the existing limitations for each of them. Furthermore, it explores the effects of PCM model selection on decision-making using the example of novel PCM-embedded material development. The results of this study show that the current built-in hysteresis model in EnergyPlus is not implemented correctly, and none of the other analysed models is completely free of limitations. Moreover, this work draws attention to the existing contradictions between different PCM modelling approaches, highlighting the critical impact the selection of a PCM model has on PCM-related decision-making. We conclude that while the existing hysteresis models in EnergyPlus are operable – albeit with great caution – they are not yet at the stage where they could be used as a reliable decision-making support tool. Practical real-world integration of PCM in building envelopes is hardly possible without having dependable modelling tools to back it up, and the development of such tools requires far more attention than it is given at the moment.